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2025
  1. Machine learning bias: Genealogy, expression and prevention
    T. Kouros, Z. Theodosiou, and C. Themistocleous, “Machine learning bias: Genealogy, expression and prevention,” in Artificial Intelligence (AI) in Social Research, CABI International, 2025, pp. 113–126. doi: 10.1079/9781800626607.0011.
  2. Exploiting Digital Twins and Metaverse Technologies for the Digital Transformation of City Transportation

    T. Politi et al., “Exploiting Digital Twins and Metaverse Technologies for the Digital Transformation of City Transportation,” in Lecture Notes in Intelligent Transportation and Infrastructure, vol. Part F154, Springer Nature, 2025, pp. 841–854. doi: 10.1007/978-3-031-82818-8_63.

  3. LASTING IMPRESSIONS: Archaeology and Community Engagement in the Xeros River Valley (Cyprus)

    F. Ripanti, G. Papantoniou, A. Vionis, and A. Lanitis, “LASTING IMPRESSIONS: Archaeology and Community Engagement in the Xeros River Valley (Cyprus),” in Ancient Pasts for Modern Audiences: Public Scholarship and the Mediterranean World, Taylor and Francis, 2025, pp. 251–274. doi: 10.4324/9781032647944-16.

2024
  1. THE ARCHIVE OF UNNAMED WORKERS: Examining the Legacy of Colonial-Era Photography in AI

    T. Stylianou-Lambert and A. Achilleos, “THE ARCHIVE OF UNNAMED WORKERS: Examining the Legacy of Colonial-Era Photography in AI,” in The Routledge Companion to Global Photographies, Taylor and Francis, 2024, pp. 261–272. doi: 10.4324/9781003368328-28.

  2. GAEA: A Country-Scale Geospatial Environmental Modelling Tool: Towards a Digital Twin for Real Estate

    A. Jamil, C. Padubidri, S. Karatsiolis, I. Kalita, A. Guley, and A. Kamilaris, “GAEA: A Country-Scale Geospatial Environmental Modelling Tool: Towards a Digital Twin for Real Estate,” in Progress in IS, vol. Part F2549, Springer Medizin, 2024, pp. 177–199. doi: 10.1007/978-3-031-46902-2_10.

  3. Emerging technologies and frameworks for serious games

    M. Chetitah, S. von Mammen, and F. Liarokapis, “Emerging technologies and frameworks for serious games,” in Human-Computer Interaction in Various Application Domains, CRC Press, 2024, pp. 194–213. doi: 10.1201/9781003490692-7.

2023
  1. Presence, Museums, and Immersive Technologies: An Interdisciplinary Exploration

    M. Shehade and T. Stylianou-Lambert, “Presence, Museums, and Immersive Technologies: An Interdisciplinary Exploration,” in Museums and Technologies of Presence, Taylor and Francis, 2023, pp. 9–29. doi: 10.4324/9781003334316-2.

  2. Autodidactic and coachable neural architectures

    L. Michael, “Autodidactic and coachable neural architectures,” in Frontiers in Artificial Intelligence and Applications, vol. 369, P. Hitzler, A. Eberhart, K. S. University, M. K. Sarker, and U. of Hartford, Eds., IOS Press BV, 2023, pp. 238–248. doi: 10.3233/FAIA230143.

  3. Autodidactic and coachable neural architectures

    L. Michael, “Autodidactic and coachable neural architectures,” in Compendium of Neurosymbolic Artificial Intelligence, IOS Press, 2023, pp. 235–248. doi: 10.3233/FAIA230143.

  4. Museums and Technologies of Presence

    M. Shehade and T. Stylianou-Lambert, Museums and Technologies of Presence. Taylor and Francis, 2023. doi: 10.4324/9781003334316.

2022
  1. Tourists’ Photographic Self-representations

    T. Stylianou-Lambert, “Tourists’ Photographic Self-representations,” in Encyclopedia of Tourism Management and Marketing: Volume 1-4, vol. 4, Edward Elgar Publishing Ltd., 2022, pp. 513–516. doi: 10.4337/9781800377486.tourists.photographic.

  2. Developing international cultural relations through the negotiation of cultural property disputes: A sustainability perspective

    M. Shehade, “Developing international cultural relations through the negotiation of cultural property disputes: A sustainability perspective,” in Routledge Handbook of Sustainable Heritage, Taylor and Francis, 2022, pp. 169–180. doi: 10.4324/9781003038955-16.

  3. INTRODUCTION: Emerging Technologies, Museums and Difficult Heritage

    T. Stylianou-Lambert, A. Bounia, and A. Heraclidou, “INTRODUCTION: Emerging Technologies, Museums and Difficult Heritage,” in Emerging Technologies and Museums: Mediating Difficult Heritage, Berghahn Books, 2022, pp. 1–19. [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134930583&partnerID=40&md5=b0a493a2c10a824f05f9ec4663d466c6

  4. EMERGING TECHNOLOGIES AND MUSEUMS: Mediating Difficult Heritage.

    T. Stylianou-Lambert, A. Bounia, and A. Heraclidou, EMERGING TECHNOLOGIES AND MUSEUMS: Mediating Difficult Heritage. Berghahn Books, 2022. [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124875886&partnerID=40&md5=abeed4aa735f5e971db352a20238813f

2021
  1. Quality-Diversity Optimization: A Novel Branch of Stochastic Optimization

    K. Chatzilygeroudis, A. Cully, V. Vassiliades, and J.-B. Mouret, “Quality-Diversity Optimization: A Novel Branch of Stochastic Optimization,” in Springer Optimization and Its Applications, vol. 170, Springer, 2021, pp. 109–135. doi: 10.1007/978-3-030-66515-9_4.

2025
  1. Implementing a Cell-Free 6G Distributed AI Network with the Use of Deep ML under a Traditional Multi-Cell Mobile Network

    I. Ioannou, A. Gregoriades, C. Christophorou, M. Raspopoulos, and V. Vassiliou, “Implementing a Cell-Free 6G Distributed AI Network with the Use of Deep ML under a Traditional Multi-Cell Mobile Network,” in 5th IEEE Middle East and North Africa Communications Conference: Breaking Boundaries: Pioneering the Next Era of Communication, MENACOMM 2025, S. Al-Shareeda and S. Al-Shareeda, Eds., Institute of Electrical and Electronics Engineers Inc., 2025. doi: 10.1109/MENACOMM62946.2025.10910986.

  2. Enhancing Cultural Heritage Tourism in Rural Areas Through Augmented Reality: A Case Study from Cyprus

    M. Shehade, “Enhancing Cultural Heritage Tourism in Rural Areas Through Augmented Reality: A Case Study from Cyprus,” in Springer Proceedings in Business and Economics, V. Katsoni and C. Costa, Eds., Springer Nature, 2025, pp. 281–294. doi: 10.1007/978-3-031-87019-4_19.

  3. Optimizing Camera Placement for Chicken Farm Monitoring

    K. Mosphilis and V. Vassiliades, “Optimizing Camera Placement for Chicken Farm Monitoring,” in Lecture Notes in Computer Science, P. García-Sánchez, E. Hart, and S. L. Thomson, Eds., Springer Science and Business Media Deutschland GmbH, 2025, pp. 354–369. doi: 10.1007/978-3-031-90062-4_22.

  4. Co-designing Virtual Reality-Based Solutions to Promote the United Nations Sustainable Development Goals

    K.-E. Stavroulia, M. Emmanouil, and A. Lanitis, “Co-designing Virtual Reality-Based Solutions to Promote the United Nations Sustainable Development Goals,” in Lecture Notes in Business Information Processing, M. Themistocleous, N. Bakas, G. Kokosalakis, and M. Papadaki, Eds., Springer Science and Business Media Deutschland GmbH, 2025, pp. 207–220. doi: 10.1007/978-3-031-81322-1_15.

  5. ix2Poly: A Sequence Prediction Method for End-to-End Polygonal Building Footprint Extraction from Remote Sensing Imagery

    Y. K. Adimoolam, C. Poullis, and M. Averkiou, “Pix2Poly: A Sequence Prediction Method for End-to-End Polygonal Building Footprint Extraction from Remote Sensing Imagery,” in Proceedings – 2025 IEEE Winter Conference on Applications of Computer Vision, WACV 2025, Institute of Electrical and Electronics Engineers Inc., 2025, pp. 8484–8493. doi: 10.1109/WACV61041.2025.00822.

  6. Brain Magnetic Resonance Imaging Segmentation System in MS with Deep Neural Networks

    G. Adamides, A. Panayides, C. P. Loizou, A. Nicolaou, M. Pantzaris, and C. Pattichis, “Brain Magnetic Resonance Imaging Segmentation System in MS with Deep Neural Networks,” in Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, H. Kondylakis and A. Triantafyllidis, Eds., Springer Science and Business Media Deutschland GmbH, 2025, pp. 325–339. doi: 10.1007/978-3-031-85572-6_21.

2024
  1. Improving Image Reconstruction using Incremental PCA-Embedded Convolutional Variational Auto-Encoder

    A. Azizi, P. Charalambous, and Y. Chrysanthou, “Improving Image Reconstruction using Incremental PCA-Embedded Convolutional Variational Auto-Encoder,” in Computer Science Research Notes, V. Skala and U. 8 University of West Bohemia Plzen, Eds., Vaclav Skala Union Agency, 2024, pp. 107–115. doi: 10.24132/CSRN.3401.12.

  2. A Coachable Parser of Natural Language Advice

    C. Ioannou and L. Michael, “A Coachable Parser of Natural Language Advice,” in International Conference on Agents and Artificial Intelligence, A. P. Rocha, L. Steels, and van den H. J, Eds., Science and Technology Publications, Lda, 2024, pp. 500–510. doi: 10.5220/0012454500003636.

  3. AI based Digital Journalism: Potential, Challenges and Future Directions

    Z. Theodosiou, V. Papa, and A. Lanitis, “AI based Digital Journalism: Potential, Challenges and Future Directions,” in Proceedings – 2024 19th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2024, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 133–137. doi: 10.1109/SMAP63474.2024.00033.

  4. Evaluating Localization Algorithms in IoT Networks Under Jamming Attacks

    M. Savva, I. Ioannou, and V. Vassiliou, “Evaluating Localization Algorithms in IoT Networks Under Jamming Attacks,” in 2024 IFIP Networking Conference, IFIP Networking 2024, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 627–633. doi: 10.23919/IFIPNetworking62109.2024.10619065.

  5. Revolutionising IoT Network Security By Assessing ML Localisation Techniques Against Jamming Attacks

    I. Ioannou, M. Savva, M. Raspopoulos, C. Christophorou, and V. Vassiliou, “Revolutionising IoT Network Security By Assessing ML Localisation Techniques Against Jamming Attacks,” in 2024 22nd Mediterranean Communication and Computer Networking Conference, MedComNet 2024, Institute of Electrical and Electronics Engineers Inc., 2024. doi: 10.1109/MedComNet62012.2024.10578201.

  6. GEnerative Medial Abstractions for 3D Shape Synthesis

    D. Petrov et al., “GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis,” in Proceedings – SIGGRAPH 2024 Conference Papers, S. N. Spencer, Ed., Association for Computing Machinery, Inc, 2024. doi: 10.1145/3641519.3657415.

  7. Cloud-Based Large Language Models for Enhancing BDIx Agents’ Decision-Making in Network Control Emergencies

    I. Ioannou, C. Christophorou, P. Nagaradjane, and V. Vassiliou, “Cloud-Based Large Language Models for Enhancing BDIx Agents’ Decision-Making in Network Control Emergencies,” in IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD, Institute of Electrical and Electronics Engineers Inc., 2024. doi: 10.1109/CAMAD62243.2024.10942731.

  8. PATCH-BASED CONTRASTIVE LEARNING AND MEMORY CONSOLIDATION FOR ONLINE UNSUPERVISED CONTINUAL LEARNING

    C. Taylor, V. Vassiliades, and C. Dovrolis, “PATCH-BASED CONTRASTIVE LEARNING AND MEMORY CONSOLIDATION FOR ONLINE UNSUPERVISED CONTINUAL LEARNING,” in Proceedings of Machine Learning Research, V. Lomonaco, S. Melacci, T. Tuytelaars, S. Chandar, and R. Pascanu, Eds., ML Research Press, 2024, pp. 938–958. [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85219563713&partnerID=40&md5=de8fd9e639dadba0eb82cf280a99bfdb

  9. Performance Evaluation of Machine Learning Cluster Metrics for Mobile Network Augmentation

    I. Ioannou, C. Christophorou, P. Nagaradjane, and V. Vassiliou, “Performance Evaluation of Machine Learning Cluster Metrics for Mobile Network Augmentation,” in 2024 International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2024, Institute of Electrical and Electronics Engineers Inc., 2024. doi: 10.1109/WiSPNET61464.2024.10532825.

  10. Perceptions and Challenges of Implementing XR Technologies in Education: A Survey-Based Study

    F. Škola, A. Karanasiou, M. Triantafillou, H. Zacharatos, and F. Liarokapis, “Perceptions and Challenges of Implementing XR Technologies in Education: A Survey-Based Study,” in Lecture Notes in Networks and Systems, M. E. Auer and T. Tsiatsos, Eds., Springer Science and Business Media Deutschland GmbH, 2024, pp. 297–306. doi: 10.1007/978-3-031-56075-0_28.

  11. The Appeal of Robotics to Children with Autism and Its Potential as a Therapeutic and Educational Tool

    E. G. Vourkos, E. Alonefti, A. S. Panayides, P. Masouras, S. Avgousti, and E. G. Christoforou, “The Appeal of Robotics to Children with Autism and Its Potential as a Therapeutic and Educational Tool,” in Lecture Notes in Networks and Systems, R. Balogh, D. Obdržálek, and M. Fislake, Eds., Springer Science and Business Media Deutschland GmbH, 2024, pp. 177–187. doi: 10.1007/978-3-031-67059-6_16.

  12. Increasing Meditation Efficiency with Virtual Reality

    F. Škola and F. Liarokapis, “Increasing Meditation Efficiency with Virtual Reality,” in Conference on Human Factors in Computing Systems – Proceedings, Association for Computing Machinery, 2024. doi: 10.1145/3613905.3651003.

  13. International Workshop on Algorithmic Bias in Search and Recommendation (BIAS)

    A. Bellogín, L. Boratto, S. Kleanthous, E. Lex, F. M. Malloci, and M. Marras, “International Workshop on Algorithmic Bias in Search and Recommendation (BIAS),” in SIGIR 2024 – Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, Association for Computing Machinery, Inc, 2024, pp. 3033–3035. doi: 10.1145/3626772.3657990.

  14. The Be-Hive Project—Counting Bee Traffic Based on Deep Learning and Pose Estimation

    C. Padubidri, A. Kamilaris, A. Charalambous, A. Lanitis, and M. Constantinides, “The Be-Hive Project—Counting Bee Traffic Based on Deep Learning and Pose Estimation,” in Lecture Notes in Networks and Systems, K. Arai, Ed., Springer Science and Business Media Deutschland GmbH, 2024, pp. 531–545. doi: 10.1007/978-3-031-47724-9_35.

  15. Ablation Study to Derive a Computationally Efficient Deep Learning-Based Super-Resolution Approach

    A. Jamil and A. Artusi, “Ablation Study to Derive a Computationally Efficient Deep Learning-Based Super-Resolution Approach,” in APSIPA ASC 2024 – Asia Pacific Signal and Information Processing Association Annual Summit and Conference 2024, Institute of Electrical and Electronics Engineers Inc., 2024. doi: 10.1109/APSIPAASC63619.2025.10848569.

  16. Scalable Order-Preserving Pattern Mining

    L. Li, W. Zuba, G. Loukides, S. P. Pissis, and M. Matsangidou, “Scalable Order-Preserving Pattern Mining,” in Proceedings – IEEE International Conference on Data Mining, ICDM, E. Baralis, K. Zhang, E. Damiani, M. Debbah, P. Kalnis, and X. Wu, Eds., Institute of Electrical and Electronics Engineers Inc., 2024, pp. 211–220. doi: 10.1109/ICDM59182.2024.00028.

  17. Optimized Tile Quality Selection in 360° Video Streaming

    M. Mahmoud et al., “Optimized Tile Quality Selection in 360° Video Streaming,” in 2024 IEEE Conference on Advanced Topics on Measurement and Simulation, ATOMS 2024, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 287–290. doi: 10.1109/ATOMS60779.2024.10921622.

  18. Optimization of the D2D Topology Formation Using a Novel Two-Stage Deep ML Approach for 6G Mobile Networks

    I. Ioannou, M. Raspopoulos, P. Nagaradjane, C. Christophorou, A. Khalifeh, and V. Vassiliou, “Optimization of the D2D Topology Formation Using a Novel Two-Stage Deep ML Approach for 6G Mobile Networks,” in 2024 Asian Conference on Communication and Networks, ASIANComNet 2024, Institute of Electrical and Electronics Engineers Inc., 2024. doi: 10.1109/ASIANComNet63184.2024.10811034.

  19. Human-AI Teaming: Following the IMOI Framework

    S. Kleanthous, “Human-AI Teaming: Following the IMOI Framework,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), H. Degen and S. Ntoa, Eds., Springer Science and Business Media Deutschland GmbH, 2024, pp. 387–406. doi: 10.1007/978-3-031-60611-3_27.

  20. Location-enabled IoT (LE-IoT): Indoor Localization for IoT Environments using Machine Learning

    T. Ahmad, X. J. Li, M. Ashfaq, M. Savva, I. Ioannou, and V. Vassiliou, “Location-enabled IoT (LE-IoT): Indoor Localization for IoT Environments using Machine Learning,” in Proceedings – 2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2024, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 392–399. doi: 10.1109/DCOSS-IoT61029.2024.00065.

  21. daptive 360° Video Streaming Over Wireless Communication Channels

    I. Valiandi, M. S. Pattichis, E. Kyriacou, and A. S. Panayides, “Adaptive 360° Video Streaming Over Wireless Communication Channels,” in 2024 9th International Conference on Frontiers of Signal Processing, ICFSP 2024, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 43–49. doi: 10.1109/ICFSP62546.2024.10785443.

  22. Tingbao: A musical Immersive Experience Inspired by Environmental Themes

    S. Ppali, A. Papallas, Y. J. Jang, P. Zaphiris, M. Pasia, and A. Covaci, “Tingbao: A musical Immersive Experience Inspired by Environmental Themes,” in CHI-PLAY Companion 2024 – Companion Proceedings of the Annual Symposium on Computer-Human Interaction in Play, Association for Computing Machinery, Inc, 2024, pp. 318–323. doi: 10.1145/3665463.3678836.

  23. Deep Learning-Aided Channel Estimation for Large Scale Fading Decoding in Massive MIMO Systems

    I. Ioannou, P. Nagaradjane, A. Khalifeh, R. Dhivyaharshini, A. Harini, and V. Vassiliou, “Deep Learning-Aided Channel Estimation for Large Scale Fading Decoding in Massive MIMO Systems,” in 2024 IEEE 30th International Conference on Telecommunications, ICT 2024, Institute of Electrical and Electronics Engineers Inc., 2024. doi: 10.1109/ICT62760.2024.10606029.

  24. Exploring Gender, Computational Making and E-Textiles using the BBC micro:bit

    J. A. Rode, L. Barkhuus, and A. Ioannou, “Exploring Gender, Computational Making and E-Textiles using the BBC micro:bit,” in Conference on Human Factors in Computing Systems – Proceedings, Association for Computing Machinery, 2024. doi: 10.1145/3613905.3644056.

  25. Explainable AI Modeling in the Prediction of Cardiovascular Disease Risk

    C. Skouteli, N. Prenzas, A. Kakas, and C. S. Pattichis, “Explainable AI Modeling in the Prediction of Cardiovascular Disease Risk,” in Studies in Health Technology and Informatics, J. Mantas, A. Hasman, G. Demiris, K. Saranto, M. Marschollek, T. N. Arvanitis, I. Ognjanovic, A. Benis, P. Gallos, E. Zoulias, and E. Andrikopoulou, Eds., IOS Press BV, 2024, pp. 978–982. doi: 10.3233/SHTI240574.

  26. AI is a robot that knows many things’: Cypriot children’s perception of AI

    M. Kasinidou, S. Kleanthous, and J. Otterbacher, “‘AI is a robot that knows many things’: Cypriot children’s perception of AI,” in Proceedings of ACM Interaction Design and Children Conference: Inclusive Happiness, IDC 2024, Association for Computing Machinery, Inc, 2024, pp. 897–901. doi: 10.1145/3628516.3659414.

  27. A Plan for a Joint Study into the Impacts of AI on Professional Competencies of IT Professionals and Implications for Computing Students

    T. Clear et al., “A Plan for a Joint Study into the Impacts of AI on Professional Competencies of IT Professionals and Implications for Computing Students,” in Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE, Association for Computing Machinery, 2024, pp. 757–758. doi: 10.1145/3649405.3659527.

  28. Facial Image and Video Pain Intensity Estimation

    M. Pittara, A. Anastasiou, K. Andreou, A. Panayides, N. Petkov, and C. S. Pattichis, “Facial Image and Video Pain Intensity Estimation,” in Conference Record – Asilomar Conference on Signals, Systems and Computers, M. B. Matthews, Ed., IEEE Computer Society, 2024, pp. 937–944. doi: 10.1109/IEEECONF60004.2024.10942832.

  29. Remote Rhythms: Audience-Informed Insights for Designing Remote Music Performances

    S. Ppali, M. Scorer, E. Ppali, B. Branch, and A. Covaci, “Remote Rhythms: Audience-Informed Insights for Designing Remote Music Performances,” in Proceedings of the 2024 ACM Designing Interactive Systems Conference, DIS 2024, A. Vallgarda, L. Jonsson, J. Fritsch, S. F. Alaoui, and L. D. C. A, Eds., Association for Computing Machinery, Inc, 2024, pp. 2675–2690. doi: 10.1145/3643834.3660719.

  30. Interactive Storytelling Experience for Sensitizing on Gender Equality: An Exploratory Study

    F. Farzinnejad and A. Parmaxi, “Interactive Storytelling Experience for Sensitizing on Gender Equality: An Exploratory Study,” in Communications in Computer and Information Science, M. Perifanou and A. A. Economides, Eds., Springer Science and Business Media Deutschland GmbH, 2024, pp. 40–48. doi: 10.1007/978-3-031-73990-3_4.

  31. A Crowdsourcing Approach for Identifying Potential Stereotypes in the Collected Data

    E. Christoforou, K. Orphanou, M. Kyriacou, and J. Otterbacher, “A Crowdsourcing Approach for Identifying Potential Stereotypes in the Collected Data,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), A. Coman and S. Vasilache, Eds., Springer Science and Business Media Deutschland GmbH, 2024, pp. 3–18. doi: 10.1007/978-3-031-61281-7_1.

  32. We have to learn to work with such systems’: Students’ Perceptions of ChatGPT After a Short Educational Intervention on NLP

    M. Kasinidou, S. Kleanthous, and J. Otterbacher, “‘We have to learn to work with such systems’: Students’ Perceptions of ChatGPT After a Short Educational Intervention on NLP,” in SIGCSE Virtual 2024 – Proceedings of the 2024 ACM Virtual Global Computing Education Conference V. 1, Association for Computing Machinery, Inc, 2024, pp. 74–80. doi: 10.1145/3649165.3690113.

  33. Emergency Department Length of Stay Classification Based on Ensemble Methods and Rule Extraction

    W. S. Aziz et al., “Emergency Department Length of Stay Classification Based on Ensemble Methods and Rule Extraction,” in Studies in Health Technology and Informatics, J. Mantas, A. Hasman, G. Demiris, K. Saranto, M. Marschollek, T. N. Arvanitis, I. Ognjanovic, A. Benis, P. Gallos, E. Zoulias, and E. Andrikopoulou, Eds., IOS Press BV, 2024, pp. 1812–1816. doi: 10.3233/SHTI240783.

  34. Towards understanding animal welfare by observing collective flock behaviors via AI-powered Analytics

    S. Karatsiolis, P. Panagi, V. Vassiliades, A. Kamilaris, N. Nicolaou, and E. Stavrakis, “Towards understanding animal welfare by observing collective flock behaviors via AI-powered Analytics,” in Annals of Computer Science and Intelligence Systems, M. Bolanowski, M. Ganzha, L. Maciaszek, L. Maciaszek, M. Paprzycki, and D. Slezak, Eds., Institute of Electrical and Electronics Engineers Inc., 2024, pp. 643–648. doi: 10.15439/2024F2064.

  35. Distributed Radio Resource Allocation Using Deep and Federated Learning in 6G Networks

    I. Ioannou, C. Christophorou, P. Nagaradjane, and V. Vassiliou, “Distributed Radio Resource Allocation Using Deep and Federated Learning in 6G Networks,” in 2024 Asian Conference on Communication and Networks, ASIANComNet 2024, Institute of Electrical and Electronics Engineers Inc., 2024. doi: 10.1109/ASIANComNet63184.2024.10811062.

  36. A Reinforcement Learning-Based Strategy for the Optimal Placement of Electric Vehicle Charging Stations in Smart City for Urban Planning

    S. Pan, S. P. Maity, I. I. Ioannou, V. Vassiliou, and K. Adhvaryu, “A Reinforcement Learning-Based Strategy for the Optimal Placement of Electric Vehicle Charging Stations in Smart City for Urban Planning,” in 2024 Asian Conference on Communication and Networks, ASIANComNet 2024, Institute of Electrical and Electronics Engineers Inc., 2024. doi: 10.1109/ASIANComNet63184.2024.10811079.

  37. axaNet: Harnessing a Hierarchical Loss Function for Insect Classification Using Deep Learning

    C. Padubidri, H. Visserman, A. Lanitis, and A. Kamilaris, “TaxaNet: Harnessing a Hierarchical Loss Function for Insect Classification Using Deep Learning,” in CEUR Workshop Proceedings, D. C. Schedl, C. Praschl, and M. Mirmehdi, Eds., CEUR-WS, 2024, pp. 46–56. [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207514701&partnerID=40&md5=23aa123eec7c59dd25a8788b7f130a62

  38. Atherosclerotic Carotid Plaque AM-FM Texture Feature Variability in Ultrasound Video

    K. P. Constantinou et al., “Atherosclerotic Carotid Plaque AM-FM Texture Feature Variability in Ultrasound Video,” in Proceedings – International Symposium on Biomedical Imaging, IEEE Computer Society, 2024. doi: 10.1109/ISBI56570.2024.10635752.

  39. A Comparative Analysis of Viewing Prediction Techniques for 360° Video Streaming Applications

    M. Mahmoud et al., “A Comparative Analysis of Viewing Prediction Techniques for 360° Video Streaming Applications,” in 2024 Panhellenic Conference on Electronics and Telecommunications, PACET 2024 – Proceedings, Institute of Electrical and Electronics Engineers Inc., 2024. doi: 10.1109/PACET60398.2024.10497019.

  40. Enhancing Edge Caching Efficiency: Leveraging Social and Context-Aware Popularity Rank Prediction via Transfer Learning

    W. A. Aziz, I. Ioannou, M. Lestas, and V. Vassiliou, “Enhancing Edge Caching Efficiency: Leveraging Social and Context-Aware Popularity Rank Prediction via Transfer Learning,” in 2024 IEEE 30th International Conference on Telecommunications, ICT 2024, Institute of Electrical and Electronics Engineers Inc., 2024. doi: 10.1109/ICT62760.2024.10606023.

  41. Integrating Chatbot Functionality in a Patient Summary Based Healthcare System

    A. Vasili, E. Schiza, C. N. Schizas, and C. S. Pattichis, “Integrating Chatbot Functionality in a Patient Summary Based Healthcare System,” in Studies in Health Technology and Informatics, J. Mantas, A. Hasman, G. Demiris, K. Saranto, M. Marschollek, T. N. Arvanitis, I. Ognjanovic, A. Benis, P. Gallos, E. Zoulias, and E. Andrikopoulou, Eds., IOS Press BV, 2024, pp. 296–300. doi: 10.3233/SHTI240402.

  42. Stroke Risk Assessment Through Sparse AM-FM Decompositions of Carotid Plaque Ultrasound Images

    K. P. Constantinou et al., “Stroke Risk Assessment Through Sparse AM-FM Decompositions of Carotid Plaque Ultrasound Images,” in Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 29–32. doi: 10.1109/SSIAI59505.2024.10508692.

  43. Applying an Agent-based Distributed AI Framework to Forecast Power for the Mini-Grid Stability

    I. I. Ioannou, S. Javaid, V. Vassiliou, A. Pitsillides, and Y. Tan, “Applying an Agent-based Distributed AI Framework to Forecast Power for the Mini-Grid Stability,” in 11th IEEE International Conference on Consumer Electronics – Taiwan, ICCE-Taiwan 2024, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 255–256. doi: 10.1109/ICCE-Taiwan62264.2024.10674231.

  44. FacadeNet: Conditional Facade Synthesis via Selective Editing

    Y. Georgiou, M. Loizou, T. Kelly, and M. Averkiou, “FacadeNet: Conditional Facade Synthesis via Selective Editing,” in Proceedings – 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 5372–5381. doi: 10.1109/WACV57701.2024.00530.

  45. Smart Power Balancing with Machine Learning: Optimizing Storage and Managing System Stability Between Fluctuating and Controllable Devices

    I. I. Ioannou, M. Bezha, S. Javaid, N. Nagaoka, and V. Vassiliou, “Smart Power Balancing with Machine Learning: Optimizing Storage and Managing System Stability Between Fluctuating and Controllable Devices,” in IEEE Southern Power Electronics Conference, SPEC, Institute of Electrical and Electronics Engineers Inc., 2024. doi: 10.1109/SPEC62217.2024.10892888.

  46. Sensing Heritage: Exploring Creative Approaches for Capturing, Experiencing and Safeguarding the Sensorial Aspects of Cultural Heritage

    S. Ppali et al., “Sensing Heritage: Exploring Creative Approaches for Capturing, Experiencing and Safeguarding the Sensorial Aspects of Cultural Heritage,” in DIS 2024 – Proceedings of the 2024 ACM Designing Interactive Systems Conference, Association for Computing Machinery, Inc, 2024, pp. 445–448. doi: 10.1145/3656156.3658400.

  47. A case study of Voice Recognition Technology for Developing Programming Skills for Students with Motor Disabilities

    M. Flourentzou, E. C. Schiza, and C. Pattichis, “A case study of Voice Recognition Technology for Developing Programming Skills for Students with Motor Disabilities,” in ACM International Conference Proceeding Series, E. Karim, S. Nikanfar, and H. R. Pavel, Eds., Association for Computing Machinery, 2024, pp. 682–683. doi: 10.1145/3652037.3663901.

  48. Adaptive Strategies for Enhancing Quality of Experience in 360° Video Streaming

    I. Valiandi, M. S. Pattichis, E. Kyriacou, and A. S. Panayides, “Adaptive Strategies for Enhancing Quality of Experience in 360° Video Streaming,” in Conference Record – Asilomar Conference on Signals, Systems and Computers, M. B. Matthews, Ed., IEEE Computer Society, 2024, pp. 945–949. doi: 10.1109/IEEECONF60004.2024.10943003.

  49. Detecting multiple jammers using Fuzzy-Logic Intrusion Detection System (FLIDS)

    M. Savva, I. Ioannou, and V. Vassiliou, “Detecting multiple jammers using Fuzzy-Logic Intrusion Detection System (FLIDS),” in Proceedings – 2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2024, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 369–376. doi: 10.1109/DCOSS-IoT61029.2024.00062.

  50. Inception Time Model for Structural Damage Detection Using Vibration Measurements

    V. Singh et al., “Inception Time Model for Structural Damage Detection Using Vibration Measurements,” in Lecture Notes in Networks and Systems, S. Kumar, K. Balachandran, J. H. Kim, and J. C. Bansal, Eds., Springer Science and Business Media Deutschland GmbH, 2024, pp. 103–122. doi: 10.1007/978-981-99-9040-5_7.

  51. Visual Perception of Obstacles: Do Humans and Machines Focus on the Same Image Features?

    C. A. Kyriakides, M. Thoma, Z. Theodosiou, H. Partaourides, L. Michael, and A. Lanitis, “Visual Perception of Obstacles: Do Humans and Machines Focus on the Same Image Features?,” in Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, P. Radeva, A. Furnari, K. Bouatouch, and A. A. Sousa, Eds., Science and Technology Publications, Lda, 2024, pp. 357–364. doi: 10.5220/0012453500003660.

  52. Spools and Sparks: The Role of Materiality in Computational Making with E-textiles & BBC Micro:bit

    J. A. Rode, Y. Feng, A. Chandrashekar, S. Andreou, and A. Ioannou, “Spools and Sparks: The Role of Materiality in Computational Making with E-textiles & BBC Micro:bit,” in ACM International Conference Proceeding Series, Association for Computing Machinery, 2024. doi: 10.1145/3686169.3686182.

  53. An Overview of Explainable AI Studies in the Prediction of Sepsis Onset and Sepsis Mortality

    A. Nicolaou et al., “An Overview of Explainable AI Studies in the Prediction of Sepsis Onset and Sepsis Mortality,” in Studies in Health Technology and Informatics, J. Mantas, A. Hasman, G. Demiris, K. Saranto, M. Marschollek, T. N. Arvanitis, I. Ognjanovic, A. Benis, P. Gallos, E. Zoulias, and E. Andrikopoulou, Eds., IOS Press BV, 2024, pp. 808–812. doi: 10.3233/SHTI240534.

  54. Subjective and Objective VQA of Video Codecs for UHD Video Streaming

    I. Valiandi, M. Mahmoud, S. Rizou, and A. S. Panayides, “Subjective and Objective VQA of Video Codecs for UHD Video Streaming,” in 2024 9th International Conference on Frontiers of Signal Processing, ICFSP 2024, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 50–56. doi: 10.1109/ICFSP62546.2024.10785449.

  55. Optimizing Message Delivery in Opportunistic Networks with Replication-Based Forwarding

    M. Ashfaq, T. Ahmad, A. Anwar, A. Irshad, I. B. Benitez, and M. Murtaza, “Optimizing Message Delivery in Opportunistic Networks with Replication-Based Forwarding,” in Proceedings – 2024 International Conference on Engineering and Computing, ICECT 2024, Institute of Electrical and Electronics Engineers Inc., 2024. doi: 10.1109/ICECT61618.2024.10581130.

  56. Catalyzing Energy Balance: A Comparative Analysis of Optimization Algorithms in the DAI Framework

    S. Javaid, I. I. Ioannou, V. Vassiliou, A. Pitsillides, and Y. Tan, “Catalyzing Energy Balance: A Comparative Analysis of Optimization Algorithms in the DAI Framework,” in 11th IEEE International Conference on Consumer Electronics – Taiwan, ICCE-Taiwan 2024, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 257–258. doi: 10.1109/ICCE-Taiwan62264.2024.10674353.

2023
  1. Artificial Intelligence in Everyday Life 2.0: Educating University Students from Different Majors

    M. Kasinidou, S. Kleanthous, M. Busso, M. Rodas, J. Otterbacher, and F. Giunchiglia, “Artificial Intelligence in Everyday Life 2.0: Educating University Students from Different Majors,” in Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE, Association for Computing Machinery, 2024, pp. 24–30. doi: 10.1145/3649217.3653542.

  2. Workshop: Mixing Realities: Cross-Reality Visualization, Interaction, and Collaboration

    H.-N. Liang, L. Yu, and F. Liarokapis, “Workshop: Mixing Realities: Cross-Reality Visualization, Interaction, and Collaboration,” in Proceedings – 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023, Institute of Electrical and Electronics Engineers Inc., 2023, pp. 298–300. doi: 10.1109/VRW58643.2023.00069.

  3. Towards Outdoor Collaborative Mixed Reality: Lessons Learnt from a Prototype System

    N. Numan et al., “Towards Outdoor Collaborative Mixed Reality: Lessons Learnt from a Prototype System,” in Proceedings – 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023, Institute of Electrical and Electronics Engineers Inc., 2023, pp. 113–118. doi: 10.1109/VRW58643.2023.00029.

  4. Computational Argumentation & Cognitive AI

    E. Dietz, A. Kakas, and L. Michael, “Computational Argumentation & Cognitive AI,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), M. Chetouani, V. Dignum, P. Lukowicz, and C. Sierra, Eds., Springer Science and Business Media Deutschland GmbH, 2023, pp. 363–388. doi: 10.1007/978-3-031-24349-3_19.

  5. The Funneling Effect: A prototype implementation of an illusory sense of touch in virtual reality

    K. Apostolou, M. Charalambous, S. Makri, P. Charalambous, and F. Liarokapis, “The Funneling Effect: A prototype implementation of an illusory sense of touch in virtual reality,” in Proceedings – 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023, Institute of Electrical and Electronics Engineers Inc., 2023, pp. 338–345. doi: 10.1109/VRW58643.2023.00076.

  6. Fairness Issues in Algorithmic Digital Marketing: Marketers’ Perceptions

    V. Pavlidou, J. Otterbacher, and S. Kleanthous, “Fairness Issues in Algorithmic Digital Marketing: Marketers’ Perceptions,” in Lecture Notes in Business Information Processing, M. Papadaki, R. da C. P, M. Themistocleous, and K. Christodoulou, Eds., Springer Science and Business Media Deutschland GmbH, 2023, pp. 319–338. doi: 10.1007/978-3-031-30694-5_24.

  7. Cyclops: Looking beyond the single perspective in information access systems

    A. Ioannou, N. Ioannou, and S. Kleanthous, “Cyclops: Looking beyond the single perspective in information access systems,” in UMAP 2023 – Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, Association for Computing Machinery, Inc, 2023, pp. 34–37. doi: 10.1145/3563359.3597398.

  8. Diversity-Aware Hybrid Human-Artificial Intelligence

    L. Michael, F. Giunchiglia, and J. Heesen, “Diversity-Aware Hybrid Human-Artificial Intelligence,” in CEUR Workshop Proceedings, P. K. Murukannaiah and T. Hirzle, Eds., CEUR-WS, 2023, pp. 194–197. [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171157581&partnerID=40&md5=28eefe8319b16c6a3fc4fb5c52677222

  9. Auditing Machine Behaviors: Does a diverse crowd result in different social norms?

    E. Christoforou, K. Orphanou, N. Nicolaou, E. Stavrakis, and J. Otterbacher, “Auditing Machine Behaviors: Does a diverse crowd result in different social norms?,” in Proceedings of the 2023 IEEE International Conference on Behavioural and Social Computing, BESC 2023, Institute of Electrical and Electronics Engineers Inc., 2023. doi: 10.1109/BESC59560.2023.10386355.

  10. Towards Accurate Categorization of Network IP Traffic Using Deep Packet Inspection and Machine Learning

    W. A. Aziz, H. K. Qureshi, A. Iqbal, A. Al-Dulaimi, and S. Al-Rubaye, “Towards Accurate Categorization of Network IP Traffic Using Deep Packet Inspection and Machine Learning,” in Proceedings – IEEE Global Communications Conference, GLOBECOM, Institute of Electrical and Electronics Engineers Inc., 2023, pp. 273–278. doi: 10.1109/GLOBECOM54140.2023.10437078.

  11. 6th Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2023)

    B. Mobasher, S. Kleanthous, J. Otterbacher, R. Burke, and A. Shulner Tal, “6th Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2023),” in UMAP 2023 – Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, Association for Computing Machinery, Inc, 2023, pp. 239–240. doi: 10.1145/3563359.3595623.

  12. Intra-Organizational Communication 2.0

    S. Charalambides and L. Michael, “Intra-Organizational Communication 2.0,” in CEUR Workshop Proceedings, P. K. Murukannaiah and T. Hirzle, Eds., CEUR-WS, 2023, pp. 227–232. [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171138174&partnerID=40&md5=68f7fc6dd9907e6585a7dfa7fa1867b5

  13. AI-based solutions for predicting sepsis in ICUs

    C. Stylianides et al., “AI-based solutions for predicting sepsis in ICUs,” in 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023, Institute of Electrical and Electronics Engineers Inc., 2023, pp. 163–164. doi: 10.1109/IEEECONF58974.2023.10404309.

  14. An Empirical Exploration of Diversity Perception

    V. Markos and L. Michael, “An Empirical Exploration of Diversity Perception,” in CEUR Workshop Proceedings, P. K. Murukannaiah and T. Hirzle, Eds., CEUR-WS, 2023, pp. 198–207. [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171197266&partnerID=40&md5=58d063a969a697b05b0471e3561e3ce7

  15. A Systematic Approach for Automated Lecture Style Evaluation Using Biometric Features

    E. A. Dimitriadou and A. Lanitis, “A Systematic Approach for Automated Lecture Style Evaluation Using Biometric Features,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), N. Tsapatsoulis, E. Kyriacou, A. Lanitis, Z. Theodosiou, M. Pattichis, C. Pattichis, C. Kyrkou, and A. Panayides, Eds., Springer Science and Business Media Deutschland GmbH, 2023, pp. 3–12. doi: 10.1007/978-3-031-44240-7_1.

  16. Evaluation of Virtual Reality via 360° videos Reusable e-Resources Embedded in Healthcare Curricula

    E. Schiza, F. Frangoudes, C. Pattichis, M. Pears, S. Konstantinidis, and E. Gkougkoudi, “Evaluation of Virtual Reality via 360° videos Reusable e-Resources Embedded in Healthcare Curricula,” in International Conference on Digital Signal Processing, DSP, Institute of Electrical and Electronics Engineers Inc., 2023. doi: 10.1109/DSP58604.2023.10167929.

  17. Metacities Excellence Hub: Exploiting Digital Twins and Metaverse Technologies in South-Eastern Europe

    S. Denazis et al., “Metacities Excellence Hub: Exploiting Digital Twins and Metaverse Technologies in South-Eastern Europe,” in Proceedings of 2023 IEEE International Smart Cities Conference, ISC2 2023, Institute of Electrical and Electronics Engineers Inc., 2023. doi: 10.1109/ISC257844.2023.10293341.

  18. Dual-Step Transfer Learning-Based Prediction Model for Next-Generation Intelligent Cellular Networks

    W. A. Aziz, I. Ioannou, M. Lestas, and V. Vassiliou, “Dual-Step Transfer Learning-Based Prediction Model for Next-Generation Intelligent Cellular Networks,” in 2023 IEEE International Conference on Communications Workshops: Sustainable Communications for Renaissance, ICC Workshops 2023, Institute of Electrical and Electronics Engineers Inc., 2023, pp. 260–265. doi: 10.1109/ICCWorkshops57953.2023.10283745.

  19. Emergency Department Triage Hospitalization Prediction Based on Machine Learning and Rule Extraction

    W. A. Sulaiman et al., “Emergency Department Triage Hospitalization Prediction Based on Machine Learning and Rule Extraction,” in 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023, Institute of Electrical and Electronics Engineers Inc., 2023, pp. 147–148. doi: 10.1109/IEEECONF58974.2023.10405176.

  20. A Review of Deep Learning Solutions in 360° Video Streaming

    M. Mahmoud et al., “A Review of Deep Learning Solutions in 360° Video Streaming,” in 2023 12th International Conference on Modern Circuits and Systems Technologies, MOCAST 2023 – Proceedings, Institute of Electrical and Electronics Engineers Inc., 2023. doi: 10.1109/MOCAST57943.2023.10176729.

  21. Computational efficient deep learning based Super Resolution approach

    A. Jamil and A. Artusi, “Computational efficient deep learning based Super Resolution approach,” in Proceedings of SPIE – The International Society for Optical Engineering, M. F. Carlsohn, Ed., SPIE, 2023. doi: 10.1117/12.2665645.

  22. Performance Assessment of Fine-Tuned Barrier Recognition Models in Varying Conditions

    M. Thoma, H. Partaourides, I. Sreedharan, Z. Theodosiou, L. Michael, and A. Lanitis, “Performance Assessment of Fine-Tuned Barrier Recognition Models in Varying Conditions,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), N. Tsapatsoulis, E. Kyriacou, A. Lanitis, Z. Theodosiou, M. Pattichis, C. Pattichis, C. Kyrkou, and A. Panayides, Eds., Springer Science and Business Media Deutschland GmbH, 2023, pp. 172–181. doi: 10.1007/978-3-031-44240-7_17.

  23. ADROIT6G DAI-Driven Open and Programmable Architecture for 6G Networks

    C. Christophorou et al., “ADROIT6G DAI-Driven Open and Programmable Architecture for 6G Networks,” in 2023 IEEE Globecom Workshops, GC Wkshps 2023, Institute of Electrical and Electronics Engineers Inc., 2023, pp. 744–750. doi: 10.1109/GCWkshps58843.2023.10465217.

  24. Neural Sculpting: Uncovering hierarchically modular task structure in neural networks through pruning and network analysis

    S. M. Patil, L. Michael, and C. Dovrolis, “Neural Sculpting: Uncovering hierarchically modular task structure in neural networks through pruning and network analysis,” in Advances in Neural Information Processing Systems, A. Oh, T. Neumann, A. Globerson, K. Saenko, M. Hardt, and S. Levine, Eds., Neural information processing systems foundation, 2023. [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205691711&partnerID=40&md5=63706c18db8c77541accfc667652d582

  25. Safe vs Unsafe Crosswalks: Assessing the Factors Related to Pedestrian Safety

    Z. Theodosiou, M. C. Voutsa, C. Constantinou, and A. Lanitis, “Safe vs Unsafe Crosswalks: Assessing the Factors Related to Pedestrian Safety,” in 2023 18th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2023, Institute of Electrical and Electronics Engineers Inc., 2023. doi: 10.1109/SMAP59435.2023.10255205.

  26. A Blockchain-Based Transactive Energy Management Scheme for Nano-Grids using Power Flow Coloring

    A. B. Masood, S. Javaid, Y. Tan, V. Vassiliou, and M. Lestas, “A Blockchain-Based Transactive Energy Management Scheme for Nano-Grids using Power Flow Coloring,” in 2023 International Conference on Consumer Electronics – Taiwan, ICCE-Taiwan 2023 – Proceedings, Institute of Electrical and Electronics Engineers Inc., 2023, pp. 187–188. doi: 10.1109/ICCE-Taiwan58799.2023.10226681.

  27. Artificial Intelligence in Everyday Life: Educating the Public Through an Open, Distance-learning Course

    M. Kasinidou, S. Kleanthous, and J. Otterbacher, “Artificial Intelligence in Everyday Life: Educating the Public Through an Open, Distance-learning Course,” in Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE, Association for Computing Machinery, 2023, pp. 306–312. doi: 10.1145/3587102.3588784.

  28. Safe Robot Navigation in Indoor Healthcare Workspaces

    E. G. Vourkos et al., “Safe Robot Navigation in Indoor Healthcare Workspaces,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), N. Tsapatsoulis, E. Kyriacou, A. Lanitis, Z. Theodosiou, M. Pattichis, C. Pattichis, C. Kyrkou, and A. Panayides, Eds., Springer Science and Business Media Deutschland GmbH, 2023, pp. 56–64. doi: 10.1007/978-3-031-44237-7_6.

  29. Virtual Reality Health Education to Prevent Musculoskeletal Disorders and Chronic Low Back Pain in Formal and Informal Caregivers

    M. Matsangidou, T. Solomou, C. Høegh Langvad, K. Xynari, E. Papayianni, and C. S. Pattichis, “Virtual Reality Health Education to Prevent Musculoskeletal Disorders and Chronic Low Back Pain in Formal and Informal Caregivers.,” in UMAP 2023 – Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, Association for Computing Machinery, Inc, 2023, pp. 343–351. doi: 10.1145/3563359.3596991.

  30. Sensitive Content Recognition in Social Interaction Messages

    I. Perikos and L. Michael, “Sensitive Content Recognition in Social Interaction Messages,” in CEUR Workshop Proceedings, P. K. Murukannaiah and T. Hirzle, Eds., CEUR-WS, 2023, pp. 238–242. [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171135889&partnerID=40&md5=92da9d413557f12d8d6c261cd7c22068

  31. Versatile Video Coding Performance Evaluation for Tiled 360° Videos

    M. Mahmoud et al., “Versatile Video Coding Performance Evaluation for Tiled 360° Videos,” in 28th European Wireless Conference, EW 2023, VDE VERLAG GMBH, 2023, pp. 184–189. [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191247489&partnerID=40&md5=d974938303db5238387c60533efe70e3

  32. AI-Enabled Solutions, Explainability and Ethical Concerns for Predicting Sepsis in ICUs: A Systematic Review

    C.-A. Alexandropoulou et al., “AI-Enabled Solutions, Explainability and Ethical Concerns for Predicting Sepsis in ICUs: A Systematic Review,” in Proceedings 2023 IEEE 19th International Conference on e-Science, e-Science 2023, Institute of Electrical and Electronics Engineers Inc., 2023. doi: 10.1109/e-Science58273.2023.10254863.

  33. Perception of Personalization Processes: Awareness, Data Sharing and Transparency

    S. Kleanthous and C. Siklafidis, “Perception of Personalization Processes: Awareness, Data Sharing and Transparency,” in ACM International Conference Proceeding Series, Association for Computing Machinery, 2023. doi: 10.1145/3609987.3610026.

  34. Mobile and Multimodal HCI Design Approaches in Museums for People with Impairments

    C. Fidas et al., “Mobile and Multimodal HCI Design Approaches in Museums for People with Impairments,” in Proceedings of the 25th International Conference on Mobile Human-Computer Interaction, MobileHCI 2023 Companion, A. Komninos, C. Santoro, D. Gavalas, J. Schoening, M. Matera, and L. A. Leiva, Eds., Association for Computing Machinery, Inc, 2023. doi: 10.1145/3565066.3609509.

  35. A Comparative Performance Assessment of Different Video Codecs

    I. Valiandi, A. S. Panayides, E. Kyriacou, C. S. Pattichis, and M. S. Pattichis, “A Comparative Performance Assessment of Different Video Codecs,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), N. Tsapatsoulis, E. Kyriacou, A. Lanitis, Z. Theodosiou, M. Pattichis, C. Pattichis, C. Kyrkou, and A. Panayides, Eds., Springer Science and Business Media Deutschland GmbH, 2023, pp. 265–275. doi: 10.1007/978-3-031-44240-7_26.

  36. An Overview of Common Educational Robotics Competition Challenges

    E. G. Christoforou, S. Avgousti, P. Masouras, A. S. Panayides, and N. v Tsekos, “An Overview of Common Educational Robotics Competition Challenges,” in Lecture Notes in Networks and Systems, R. Balogh, D. Obdržálek, and E. Christoforou, Eds., Springer Science and Business Media Deutschland GmbH, 2023, pp. 405–411. doi: 10.1007/978-3-031-38454-7_33.

  37. Explainable Machine Learning via Argumentation

    N. Prentzas, C. Pattichis, and A. Kakas, “Explainable Machine Learning via Argumentation,” in Communications in Computer and Information Science, L. Longo, Ed., Springer Science and Business Media Deutschland GmbH, 2023, pp. 371–398. doi: 10.1007/978-3-031-44070-0_19.

  38. ML-Aided Dynamic Clustering and Classification of UEs as VBs in D2D Communication Networks

    I. Ioannou et al., “ML-Aided Dynamic Clustering and Classification of UEs as VBs in D2D Communication Networks,” in WiSPNET 2023 – International Conference on Wireless Communications, Signal Processing and Networking, Institute of Electrical and Electronics Engineers Inc., 2023. doi: 10.1109/WiSPNET57748.2023.10134336.

  39. Collaborative museum heist with reinforcement learning

    E. Evripidou, A. Aristidou, and P. Charalambous, “Collaborative museum heist with reinforcement learning,” in Computer Animation and Virtual Worlds, John Wiley and Sons Ltd, 2023. doi: 10.1002/cav.2158.

  40. Computer Vision, Human Likeness, and Problematic Behaviors: Distinguishing Stereotypes from Social Norms

    J. Otterbacher, “Computer Vision, Human Likeness, and Problematic Behaviors: Distinguishing Stereotypes from Social Norms,” in UMAP 2023 – Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, Association for Computing Machinery, Inc, 2023, pp. 206–214. doi: 10.1145/3563359.3597381.

  41. A Model-agnostic Approach for Generating Saliency Maps to Explain Inferred Decisions of Deep Learning Models

    S. Karatsiolis and A. Kamilaris, “A Model-agnostic Approach for Generating Saliency Maps to Explain Inferred Decisions of Deep Learning Models,” in Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, P. Radeva, G. M. Farinella, and K. Bouatouch, Eds., Science and Technology Publications, Lda, 2023, pp. 39–46. doi: 10.5220/0011612400003417.

  42. Performance evaluation of a Fuzzy Logic-based IDS (FLIDS) technique for the Detection of Different Types of Jamming Attacks in IoT Networks

    M. Savva, I. Ioannou, and V. Vassiliou, “Performance evaluation of a Fuzzy Logic-based IDS (FLIDS) technique for the Detection of Different Types of Jamming Attacks in IoT Networks,” in 2023 21st Mediterranean Communication and Computer Networking Conference, MedComNet 2023, Institute of Electrical and Electronics Engineers Inc., 2023, pp. 93–100. doi: 10.1109/MedComNet58619.2023.10168848.

  43. Quality Diversity optimization using the IsoLineDD operator: forward and backward directions are equally important

    K. Christou, C. Christodoulou, and V. Vassiliades, “Quality Diversity optimization using the IsoLineDD operator: forward and backward directions are equally important,” in GECCO 2023 Companion – Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, Inc, 2023, pp. 639–642. doi: 10.1145/3583133.3590737.

2022
  1. Utilizing Carriers for the Energy Node Placement Algorithm in WSNs and IoT Networks

    N. Temene, C. Sergiou, C. Georgiou, and V. Vassiliou, “Utilizing Carriers for the Energy Node Placement Algorithm in WSNs and IoT Networks,” in Proceedings – 18th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2022, Institute of Electrical and Electronics Engineers Inc., 2022, pp. 207–214. doi: 10.1109/DCOSS54816.2022.00044.

  2. Fuzzy-Logic Based IDS for Detecting Jamming Attacks in Wireless Mesh IoT Networks

    M. Savva, I. Ioannou, and V. Vassiliou, “Fuzzy-Logic Based IDS for Detecting Jamming Attacks in Wireless Mesh IoT Networks,” in 2022 20th Mediterranean Communication and Computer Networking Conference, MedComNet 2022, Institute of Electrical and Electronics Engineers Inc., 2022, pp. 54–63. doi: 10.1109/MedComNet55087.2022.9810363.

  3. Development of a Bespoke Chatbot Design Tool to Facilitate a Crowd-based Co-creation Process

    J. Henderson et al., “Development of a Bespoke Chatbot Design Tool to Facilitate a Crowd-based Co-creation Process,” in 2022 International Conference on Interactive Media, Smart Systems and Emerging Technologies, IMET 2022 – Proceedings, Institute of Electrical and Electronics Engineers Inc., 2022. doi: 10.1109/IMET54801.2022.9929752.

  4. How Does the Crowd Impact the Model? A Tool for Raising Awareness of Social Bias in Crowdsourced Training Data

    P. Perikleous et al., “How Does the Crowd Impact the Model? A Tool for Raising Awareness of Social Bias in Crowdsourced Training Data,” in International Conference on Information and Knowledge Management, Proceedings, Association for Computing Machinery, 2022, pp. 4951–4954. doi: 10.1145/3511808.3557178.

  5. System for Operational Technology Attack Detection in Industrial IoT

    C. Charilaou, C. I. Ioannou, and V. Vassiliou, “System for Operational Technology Attack Detection in Industrial IoT,” in 2022 20th Mediterranean Communication and Computer Networking Conference, MedComNet 2022, Institute of Electrical and Electronics Engineers Inc., 2022, pp. 84–93. doi: 10.1109/MedComNet55087.2022.9810446.

  6. A Survey on Tie Strength Estimation Methods in Online Social Networks

    I. Perikos and L. Michael, “A Survey on Tie Strength Estimation Methods in Online Social Networks,” in International Conference on Agents and Artificial Intelligence, A. Rocha, L. Steels, and van den H. J, Eds., Science and Technology Publications, Lda, 2022, pp. 484–491. doi: 10.5220/0010845100003116.

  7. 5th Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2022)

    S. Kleanthous et al., “5th Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2022),” in UMAP2022 – Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, Association for Computing Machinery, Inc, 2022, pp. 209–210. doi: 10.1145/3511047.3536348.

  8. The Role of Artificial Intelligence in Smart Classes: A survey

    E. Dimitriadou and A. Lanitis, “The Role of Artificial Intelligence in Smart Classes: A survey,” in MELECON 2022 – IEEE Mediterranean Electrotechnical Conference, Proceedings, Institute of Electrical and Electronics Engineers Inc., 2022, pp. 642–647. doi: 10.1109/MELECON53508.2022.9843020.

  9. Development and Evaluation of a Prototype VR Application for the Elderly, that can Help to Prevent Effects Related to Social Isolation

    Z. Anastasiadou and A. Lanitis, “Development and Evaluation of a Prototype VR Application for the Elderly, that can Help to Prevent Effects Related to Social Isolation,” in 2022 International Conference on Interactive Media, Smart Systems and Emerging Technologies, IMET 2022 – Proceedings, Institute of Electrical and Electronics Engineers Inc., 2022. doi: 10.1109/IMET54801.2022.9930049.

  10. Detection and Recognition of Barriers in Egocentric Images for Safe Urban Sidewalks

    Z. Theodosiou, H. Partaourides, S. Panayi, A. Kitsis, and A. Lanitis, “Detection and Recognition of Barriers in Egocentric Images for Safe Urban Sidewalks,” in Communications in Computer and Information Science, K. Bouatouch, de S. A. A, M. Chessa, A. Paljic, A. Kerren, C. Hurter, G. M. Farinella, P. Radeva, and J. Braz, Eds., Springer Science and Business Media Deutschland GmbH, 2022, pp. 530–543. doi: 10.1007/978-3-030-94893-1_25.

  11. Feasibility and Acceptance of Virtual Reality Reusable e- Resources Embedded in Healthcare Curricula

    M. Pears et al., “Feasibility and Acceptance of Virtual Reality Reusable e- Resources Embedded in Healthcare Curricula,” in 2022 International Conference on Interactive Media, Smart Systems and Emerging Technologies, IMET 2022 – Proceedings, Institute of Electrical and Electronics Engineers Inc., 2022. doi: 10.1109/IMET54801.2022.9929810.

  12. Digital Twins for Medieval Monuments: Requirements from Art Historians and Technical Challenges for Analysis and Restoration

    I. Munoz-Pandiella et al., “Digital Twins for Medieval Monuments: Requirements from Art Historians and Technical Challenges for Analysis and Restoration,” in 2022 International Conference on Interactive Media, Smart Systems and Emerging Technologies, IMET 2022 – Proceedings, Institute of Electrical and Electronics Engineers Inc., 2022. doi: 10.1109/IMET54801.2022.9929510.

  13. The Ledra Palace project: Using emerging technologies to communicate exhibition content-Evaluation of results

    A. Heraclidou et al., “The Ledra Palace project: Using emerging technologies to communicate exhibition content-Evaluation of results,” in 2022 International Conference on Interactive Media, Smart Systems and Emerging Technologies, IMET 2022 – Proceedings, Institute of Electrical and Electronics Engineers Inc., 2022. doi: 10.1109/IMET54801.2022.9929344.

  14. Multivariable Extremum Seeking Controllers for Multi-Beam Steering using Reconfigurable Metasurfaces

    A. B. Masood, V. Vassiliou, A. Pitsillides, C. Liaskos, and M. Lestas, “Multivariable Extremum Seeking Controllers for Multi-Beam Steering using Reconfigurable Metasurfaces,” in 2022 IEEE GLOBECOM Workshops, GC Wkshps 2022 – Proceedings, Institute of Electrical and Electronics Engineers Inc., 2022, pp. 49–54. doi: 10.1109/GCWkshps56602.2022.10008600.

  15. TExSS 22: Transparency and Explanations in Smart Systems

    T. Kuflik et al., “TExSS 22: Transparency and Explanations in Smart Systems,” in International Conference on Intelligent User Interfaces, Proceedings IUI, Association for Computing Machinery, 2022, pp. 16–17. doi: 10.1145/3490100.3511165.

  16. Free of Walls: Participatory Design of an Out-World Experience via Virtual Reality for Dementia In-patients

    M. Matsangidou, F. Frangoudes, T. Solomou, E. Papayianni, and C. Pattichis, “Free of Walls: Participatory Design of an Out-World Experience via Virtual Reality for Dementia In-patients,” in UMAP2022 – Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, Association for Computing Machinery, Inc, 2022, pp. 326–334. doi: 10.1145/3511047.3537651.

  17. A Centralized Node Placement Algorithm in WSNs and IoT Networks

    N. Temene, A. Naoum, C. Sergiou, C. Georgiou, and V. Vassiliou, “A Centralized Node Placement Algorithm in WSNs and IoT Networks,” in 2022 Global Information Infrastructure and Networking Symposium, GIIS 2022, Institute of Electrical and Electronics Engineers Inc., 2022, pp. 25–29. doi: 10.1109/GIIS56506.2022.9936924.

  18. The Virtual Touch Toolkit: An Interactive Media Mobile Application for Promoting Well-Being through Affective and Social Touch

    A. Najm, C. Hadjipanayi, D. Michael-Grigoriou, D. Banakou, F. McGlone, and M. Fairhurst, “The Virtual Touch Toolkit: An Interactive Media Mobile Application for Promoting Well-Being through Affective and Social Touch,” in 2022 International Conference on Interactive Media, Smart Systems and Emerging Technologies, IMET 2022 – Proceedings, Institute of Electrical and Electronics Engineers Inc., 2022. doi: 10.1109/IMET54801.2022.9929934.

  19. Privacy-Preserving Presence Tracing for Pandemics Via Machine-to-Machine Exposure Notifications

    C. Laoudias, M. Raspopoulos, S. Christoforou, and A. Kamilaris, “Privacy-Preserving Presence Tracing for Pandemics Via Machine-to-Machine Exposure Notifications,” in Proceedings – IEEE International Conference on Mobile Data Management, Institute of Electrical and Electronics Engineers Inc., 2022, pp. 355–360. doi: 10.1109/MDM55031.2022.00080.

  20. Technical Guidelines for the Creation and Deployment of 360° Video-Based Virtual Reality (VR) Reusable Learning Objects (RLOs)

    F. Frangoudes, E. C. Schiza, K. C. Neokleous, and C. S. Pattichis, “Technical Guidelines for the Creation and Deployment of 360° Video-Based Virtual Reality (VR) Reusable Learning Objects (RLOs),” in Lecture Notes in Networks and Systems, M. E. Auer, H. Hortsch, O. Michler, and T. Köhler, Eds., Springer Science and Business Media Deutschland GmbH, 2022, pp. 1073–1084. doi: 10.1007/978-3-030-93907-6_113.

  21. Towards Engaging Intangible Holographic Public Displays

    D. de Angeli, F. Frangoudes, S. Avraam, K. Neokleous, and E. O’Neill, “Towards Engaging Intangible Holographic Public Displays,” in 2022 International Conference on Interactive Media, Smart Systems and Emerging Technologies, IMET 2022 – Proceedings, Institute of Electrical and Electronics Engineers Inc., 2022. doi: 10.1109/IMET54801.2022.9929788.

  22. The Iterative Development of an Online Multiplayer Escape Room Game for Improving Social Interaction through Edutainment

    A. Najm, M. Christofi, C. Hadjipanayi, C. Kyrlitsias, and D. Michael-Grigoriou, “The Iterative Development of an Online Multiplayer Escape Room Game for Improving Social Interaction through Edutainment,” in Computer Science Research Notes, V. Skala, Ed., Vaclav Skala Union Agency, 2022, pp. 56–65. doi: 10.24132/CSRN.3201.8.

  23. Using Student Action Recognition to Enhance the Efficiency of Tele-education

    E. Dimitriadou and A. Lanitis, “Using Student Action Recognition to Enhance the Efficiency of Tele-education,” in Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, G. M. Farinella, P. Radeva, and K. Bouatouch, Eds., Science and Technology Publications, Lda, 2022, pp. 543–549. doi: 10.5220/0010868200003124.

  24. Socio-Economic Diversity in Human Annotations

    S. Fan, P. Barlas, E. Christoforou, J. Otterbacher, S. Sadiq, and G. Demartini, “Socio-Economic Diversity in Human Annotations,” in ACM International Conference Proceeding Series, Association for Computing Machinery, 2022, pp. 98–109. doi: 10.1145/3501247.3531588.

  25. Deep Learning-Based Segmentation of the Atherosclerotic Carotid Plaque in Ultrasonic Images

    G. D. Liapi, E. Kyriacou, C. P. Loizou, A. S. Panayides, C. S. Pattichis, and A. N. Nicolaides, “Deep Learning-Based Segmentation of the Atherosclerotic Carotid Plaque in Ultrasonic Images,” in IFIP Advances in Information and Communication Technology, I. Maglogiannis, L. Iliadis, J. Macintyre, and P. Cortez, Eds., Springer Science and Business Media Deutschland GmbH, 2022, pp. 187–198. doi: 10.1007/978-3-031-08341-9_16.

  26. Post-hoc Diversity-aware Curation of Rankings

    V. Markos and L. Michael, “Post-hoc Diversity-aware Curation of Rankings,” in International Conference on Agents and Artificial Intelligence, A. Rocha, L. Steels, and van den H. J, Eds., Science and Technology Publications, Lda, 2022, pp. 323–334. doi: 10.5220/0010839600003116.

  27. A Decentralized Node Placement Algorithm for WSNs and IoT Networks

    N. Temene, A. Naoum, C. Sergiou, C. Georgiou, and V. Vassiliou, “A Decentralized Node Placement Algorithm for WSNs and IoT Networks,” in 2022 IEEE 8th World Forum on Internet of Things, WF-IoT 2022, Institute of Electrical and Electronics Engineers Inc., 2022. doi: 10.1109/WF-IoT54382.2022.10152262.

  28. Accurate Detection of Illegal Dumping Sites Using High Resolution Aerial Photography and Deep Learning

    C. Padubidri, A. Kamilaris, and S. Karatsiolis, “Accurate Detection of Illegal Dumping Sites Using High Resolution Aerial Photography and Deep Learning,” in 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022, Institute of Electrical and Electronics Engineers Inc., 2022, pp. 451–456. doi: 10.1109/PerComWorkshops53856.2022.9767451.

  29. Bias in Face Image Classification Machine Learning Models: The Impact of Annotator’s Gender and Race

    A. Kafkalias, S. Herodotou, Z. Theodosiou, and A. Lanitis, “Bias in Face Image Classification Machine Learning Models: The Impact of Annotator’s Gender and Race,” in IFIP Advances in Information and Communication Technology, I. Maglogiannis, L. Iliadis, J. Macintyre, and P. Cortez, Eds., Springer Science and Business Media Deutschland GmbH, 2022, pp. 89–100. doi: 10.1007/978-3-031-08337-2_8.

  30. DgiStreamer: The Less You Code The More You Create

    M. Angelini, S. Panayi, and A. Artusi, “DgiStreamer: The Less You Code The More You Create,” in 2022 International Conference on Interactive Media, Smart Systems and Emerging Technologies, IMET 2022 – Proceedings, Institute of Electrical and Electronics Engineers Inc., 2022. doi: 10.1109/IMET54801.2022.9929715.

  31. Control over Blockchain for Data-Driven Fault Tolerant Control in Industry 4.0

    A. B. Masood, A. Hasan, V. Vassiliou, and M. Lestas, “Control over Blockchain for Data-Driven Fault Tolerant Control in Industry 4.0,” in 2022 20th Mediterranean Communication and Computer Networking Conference, MedComNet 2022, Institute of Electrical and Electronics Engineers Inc., 2022, pp. 131–139. doi: 10.1109/MedComNet55087.2022.9810433.

  32. Navigating a road network using Reinforcement Learning

    S. Makri and P. Charalambous, “Navigating a road network using Reinforcement Learning,” in 2022 International Conference on Interactive Media, Smart Systems and Emerging Technologies, IMET 2022 – Proceedings, Institute of Electrical and Electronics Engineers Inc., 2022. doi: 10.1109/IMET54801.2022.9929765.

  33. Virtual Painkillers: Designing Accessible Virtual Reality Experiences for Helping Cancer Patients Manage Pain at Home

    M. Matsangidou et al., “Virtual Painkillers: Designing Accessible Virtual Reality Experiences for Helping Cancer Patients Manage Pain at Home,” in Conference on Human Factors in Computing Systems – Proceedings, Association for Computing Machinery, 2022. doi: 10.1145/3491101.3503562.

  34. Virtual library in the concept of digital twin

    N. Iakovides, A. Lazarou, P. Kyriakou, and A. Aristidou, “Virtual library in the concept of digital twin,” in 2022 International Conference on Interactive Media, Smart Systems and Emerging Technologies, IMET 2022 – Proceedings, Institute of Electrical and Electronics Engineers Inc., 2022. doi: 10.1109/IMET54801.2022.9929598.

  35. Exploring the Role of Chatbots and Messaging Applications in Higher Education: A Teacher’s Perspective

    J. J. Merelo et al., “Exploring the Role of Chatbots and Messaging Applications in Higher Education: A Teacher’s Perspective,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), P. Zaphiris and A. Ioannou, Eds., Springer Science and Business Media Deutschland GmbH, 2022, pp. 205–223. doi: 10.1007/978-3-031-05675-8_16.

  36. Reducing Brain-computer Interaction Training Time with Embodied Virtual Avatar

    F. Škola and F. Liarokapis, “Reducing Brain-computer Interaction Training Time with Embodied Virtual Avatar,” in Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, de S. A. A, K. Debattista, and K. Bouatouch, Eds., Science and Technology Publications, Lda, 2022, pp. 7–17. doi: 10.5220/0011049100003124.

  37. User Perception of Algorithmic Digital Marketing in Conditions of Scarcity

    V. Pavlidou, J. Otterbacher, and S. Kleanthous, “User Perception of Algorithmic Digital Marketing in Conditions of Scarcity,” in Lecture Notes in Business Information Processing, M. Themistocleous and M. Papadaki, Eds., Springer Science and Business Media Deutschland GmbH, 2022, pp. 319–332. doi: 10.1007/978-3-030-95947-0_22.

  38. Diversity by design? balancing the inclusion and protection of users in an online social platform

    P. Helm, L. Michael, and L. Schelenz, “Diversity by design? balancing the inclusion and protection of users in an online social platform,” in AIES 2022 – Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, Association for Computing Machinery, Inc, 2022, pp. 324–334. doi: 10.1145/3514094.3534149.

  39. Machine Coaching with Proxy Coaches

    V. Markos, M. Thoma, and L. Michael, “Machine Coaching with Proxy Coaches,” in CEUR Workshop Proceedings, I. Kuhlmann, J. Mumford, and S. Sarkadi, Eds., CEUR-WS, 2022, pp. 45–64. [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138344565&partnerID=40&md5=23bfaabccbac0f0dd4c8a0f356f08763

  40. The Use of Storytelling in Virtual Reality for Studying Empathy: A Review

    M. Christofi, C. Hadjipanayi, and D. Michael-Grigoriou, “The Use of Storytelling in Virtual Reality for Studying Empathy: A Review,” in 2022 International Conference on Interactive Media, Smart Systems and Emerging Technologies, IMET 2022 – Proceedings, Institute of Electrical and Electronics Engineers Inc., 2022. doi: 10.1109/IMET54801.2022.9929546.

2021
  1. A Systematic Review: The Role of Multisensory Feedback in Virtual Reality

    K. Apostolou and F. Liarokapis, “A Systematic Review: The Role of Multisensory Feedback in Virtual Reality,” in Proceedings – 2022 IEEE 2nd International Conference on Intelligent Reality, ICIR 2022, Institute of Electrical and Electronics Engineers Inc., 2022, pp. 39–42. doi: 10.1109/ICIR55739.2022.00024.

  2. Prototype for Crowd-based Co-creation of Artificial Intelligence Natural Language Conversational Agents

    M. Pears et al., “Prototype for Crowd-based Co-creation of Artificial Intelligence Natural Language Conversational Agents,” in IEEE Global Engineering Education Conference, EDUCON, M. Jemni, I. Kallel, and A. Akkari, Eds., IEEE Computer Society, 2022, pp. 2013–2021. doi: 10.1109/EDUCON52537.2022.9766698.

  3. Energy Efficient Mechanism for Reusing Mobile Nodes in WSN and IoT Networks

    N. Temene, C. Sergiou, C. Ioannou, C. Georgiou, and V. Vassiliou, “Energy Efficient Mechanism for Reusing Mobile Nodes in WSN and IoT Networks,” in Proceedings – 17th Annual International Conference on Distributed Computing in Sensor Systems, DCOS 2021, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 287–294. doi: 10.1109/DCOSS52077.2021.00054.

  4. BuildingNet: Learning to Label 3D Buildings

    P. Selvaraju et al., “BuildingNet: Learning to Label 3D Buildings,” in Proceedings of the IEEE International Conference on Computer Vision, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 10377–10387. doi: 10.1109/ICCV48922.2021.01023.

  5. Towards a multi-agent non-player character road network: A Reinforcement Learning approach

    S. Makri and P. Charalambous, “Towards a multi-agent non-player character road network: A Reinforcement Learning approach,” in IEEE Conference on Computatonal Intelligence and Games, CIG, IEEE Computer Society, 2021. doi: 10.1109/CoG52621.2021.9619047.

  6. Emotion Recognition from 3D Motion Capture Data using Deep CNNs

    H. Zacharatos, C. Gatzoulis, P. Charalambous, and Y. Chrysanthou, “Emotion Recognition from 3D Motion Capture Data using Deep CNNs,” in IEEE Conference on Computatonal Intelligence and Games, CIG, IEEE Computer Society, 2021. doi: 10.1109/CoG52621.2021.9619065.

  7. Person, Human, Neither: The Dehumanization Potential of Automated Image Tagging

    P. Barlas, K. Kyriakou, S. Kleanthous, and J. Otterbacher, “Person, Human, Neither: The Dehumanization Potential of Automated Image Tagging,” in AIES 2021 – Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, Association for Computing Machinery, Inc, 2021, pp. 357–367. doi: 10.1145/3461702.3462567.

  8. Knowledge-based translation of natural language into symbolic form

    C. Ioannou and L. Michael, “Knowledge-based translation of natural language into symbolic form,” in CEUR Workshop Proceedings, R. Rzepka, J. Vallverdu, A. Wlodarczyk, M. Ptaszynski, and P. Dybala, Eds., CEUR-WS, 2021, pp. 24–32. [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113904274&partnerID=40&md5=524bd3c9af8ded0f202336a51eb1ac30

  9. Educating Computer Science Students about Algorithmic Fairness, Accountability, Transparency and Ethics

    M. Kasinidou, S. Kleanthous, K. Orphanou, and J. Otterbacher, “Educating Computer Science Students about Algorithmic Fairness, Accountability, Transparency and Ethics,” in Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE, Association for Computing Machinery, 2021, pp. 484–490. doi: 10.1145/3430665.3456311.

  10. Transparency Paths – Documenting the Diversity of User Perceptions

    F. Giunchiglia, S. Kleanthous, J. Otterbacher, and T. Draws, “Transparency Paths – Documenting the Diversity of User Perceptions,” in UMAP 2021 – Adjunct Publication of the 29th ACM Conference on User Modeling, Adaptation and Personalization, Association for Computing Machinery, Inc, 2021, pp. 415–420. doi: 10.1145/3450614.3463292.

  11. Artwork Identification in a Museum Environment: A Quantitative Evaluation of Factors Affecting Identification Accuracy

    A. Lanitis, Z. Theodosiou, and H. Partaourides, “Artwork Identification in a Museum Environment: A Quantitative Evaluation of Factors Affecting Identification Accuracy,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), M. Ioannides, E. Fink, L. Cantoni, and E. Champion, Eds., Springer Science and Business Media Deutschland GmbH, 2021, pp. 588–595. doi: 10.1007/978-3-030-73043-7_50.

  12. Augmented Reality Cultural Route at the Xeros River Valley, Larnaca, Cyprus

    E. Ioannou, A. Lanitis, A. K. Vionis, G. Papantoniou, and N. Savvides, “Augmented Reality Cultural Route at the Xeros River Valley, Larnaca, Cyprus,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), M. Ioannides, E. Fink, L. Cantoni, and E. Champion, Eds., Springer Science and Business Media Deutschland GmbH, 2021, pp. 695–702. doi: 10.1007/978-3-030-73043-7_61.

  13. Neural-Symbolic Integration: A Compositional Perspective

    E. Tsamoura, T. Hospedales, and L. Michael, “Neural-Symbolic Integration: A Compositional Perspective,” in 35th AAAI Conference on Artificial Intelligence, AAAI 2021, Association for the Advancement of Artificial Intelligence, 2021, pp. 5051–5060. doi: 10.1609/aaai.v35i6.16639.

  14. Expected Most of the Results, but Some Others..Surprised Me’: Personality Inference in Image Tagging Services

    M. Kasinidou, S. Kleanthous, and J. Otterbacher, “‘Expected Most of the Results, but Some Others..Surprised Me’: Personality Inference in Image Tagging Services,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), D. Fogli, D. Tetteroo, B. R. Barricelli, S. Borsci, P. Markopoulos, and G. A. Papadopoulos, Eds., Springer Science and Business Media Deutschland GmbH, 2021, pp. 187–195. doi: 10.1007/978-3-030-79840-6_12.

  15. CovTracer-EN: The Journey of Covid-19 Digital Contact Tracing in Cyprus

    P. Isaia, C. Laoudias, A. Kamilaris, and C. G. Panayiotou, “CovTracer-EN: The Journey of Covid-19 Digital Contact Tracing in Cyprus,” in 2021 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2021, Institute of Electrical and Electronics Engineers Inc., 2021. doi: 10.1109/IPIN51156.2021.9662621.

  16. EscapeWildFire: Assisting People to Escape Wildfires in Real-Time

    A. Kamilaris et al., “EscapeWildFire: Assisting People to Escape Wildfires in Real-Time,” in 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 129–134. doi: 10.1109/PerComWorkshops51409.2021.9431119.

  17. Land Use Change Detection Using Deep Siamese Neural Networks and Weakly Supervised Learning

    I. Kalita, S. Karatsiolis, and A. Kamilaris, “Land Use Change Detection Using Deep Siamese Neural Networks and Weakly Supervised Learning,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), N. Tsapatsoulis, A. Panayides, T. Theocharides, A. Lanitis, A. Lanitis, C. Pattichis, C. Pattichis, and M. Vento, Eds., Springer Science and Business Media Deutschland GmbH, 2021, pp. 24–35. doi: 10.1007/978-3-030-89131-2_3.

  18. Virtual-Reality Based Crisis Management Training for Teachers: An Overview of the VRTEACHER Project

    K. E. Stavroulia, I. Aedo, P. Diaz, and A. Lanitis, “Virtual-Reality Based Crisis Management Training for Teachers: An Overview of the VRTEACHER Project,” in SIIE 2021 – 2021 International Symposium on Computers in Education, A. Balderas, A. J. Mendes, and J. M. Dodero, Eds., Institute of Electrical and Electronics Engineers Inc., 2021. doi: 10.1109/SIIE53363.2021.9583628.

  19. A System for Efficient Path Planning and Target Assignment for Robotic Swarms in Agriculture

    J. Postmes, N. Botteghi, B. Sirmacek, and A. Kamilaris, “A System for Efficient Path Planning and Target Assignment for Robotic Swarms in Agriculture,” in ACM International Conference Proceeding Series, Association for Computing Machinery, 2021, pp. 158–164. doi: 10.1145/3494322.3494352.

  20. Do 3D Visual Illusions Work for Immersive Virtual Environments?

    F. Skola, R. Gluszny, and F. Liarokapis, “Do 3D Visual Illusions Work for Immersive Virtual Environments?,” in IEEE Conference on Computatonal Intelligence and Games, CIG, IEEE Computer Society, 2021. doi: 10.1109/CoG52621.2021.9619143.

  21. NoR-VDPNet++: Efficient training and architecture for deep no-reference image quality metrics

    F. Banterle, A. Artusi, A. Moreo, and F. Carrara, “NoR-VDPNet++: Efficient training and architecture for deep no-reference image quality metrics,” in ACM SIGGRAPH 2021 Talks, SIGGRAPH 2021, Association for Computing Machinery, Inc, 2021. doi: 10.1145/3450623.3464636.

  22. Hazing or Dehazing: The big dilemma for object detection

    S. Panayi and A. Artusi, “Hazing or Dehazing: The big dilemma for object detection,” in IEEE 23rd International Workshop on Multimedia Signal Processing, MMSP 2021, Institute of Electrical and Electronics Engineers Inc., 2021. doi: 10.1109/MMSP53017.2021.9733476.

  23. It’s about time: A view of crowdsourced data before and during the pandemic

    E. Christoforou, P. Barlas, and J. Otterbacher, “It’s about time: A view of crowdsourced data before and during the pandemic,” in Conference on Human Factors in Computing Systems – Proceedings, Association for Computing Machinery, 2021. doi: 10.1145/3411764.3445317.

  24. A Classification of Augmented Reality Approaches for Spatial Data Visualization

    K. Cheliotis et al., “A Classification of Augmented Reality Approaches for Spatial Data Visualization,” in Proceedings – 2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2021, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 367–372. doi: 10.1109/ISMAR-Adjunct54149.2021.00084.

  25. An Overview of the Use of Chatbots in Medical and Healthcare Education

    F. Frangoudes, M. Hadjiaros, E. C. Schiza, M. Matsangidou, O. Tsivitanidou, and K. Neokleous, “An Overview of the Use of Chatbots in Medical and Healthcare Education,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), P. Zaphiris and A. Ioannou, Eds., Springer Science and Business Media Deutschland GmbH, 2021, pp. 170–184. doi: 10.1007/978-3-030-77943-6_11.

  26. Blending NLP and Machine Learning for the Development of Winograd Schemas

    N. Isaak and L. Michael, “Blending NLP and Machine Learning for the Development of Winograd Schemas,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), A. P. Rocha, L. Steels, and van den H. J, Eds., Springer Science and Business Media Deutschland GmbH, 2021, pp. 188–214. doi: 10.1007/978-3-030-71158-0_9.

  27. HoneyGen: Generating Honeywords Using Representation Learning

    A. Dionysiou, V. Vassiliades, and E. Athanasopoulos, “HoneyGen: Generating Honeywords Using Representation Learning,” in ASIA CCS 2021 – Proceedings of the 2021 ACM Asia Conference on Computer and Communications Security, Association for Computing Machinery, Inc, 2021, pp. 265–279. doi: 10.1145/3433210.3453092.

  28. Novel Ultrasonographic Thickness and Strength Assessments of the Flexor Digitorum A Reliability Analysis

    C. I. Ioannou, F. L. Hodde-Chriske, M. N. Avraamides, and E. Altenmüller, “Novel Ultrasonographic Thickness and Strength Assessments of the Flexor Digitorum A Reliability Analysis,” in Medical Problems of Performing Artists, Science and Medicine Inc., 2021, pp. 269–278. doi: 10.21091/mppa.2021.4030.

  29. Envisioned Pedagogical Uses of Chatbots in Higher Education and Perceived Benefits and Challenges

    O. Tsivitanidou and A. Ioannou, “Envisioned Pedagogical Uses of Chatbots in Higher Education and Perceived Benefits and Challenges,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), P. Zaphiris and A. Ioannou, Eds., Springer Science and Business Media Deutschland GmbH, 2021, pp. 230–250. doi: 10.1007/978-3-030-77943-6_15.

  30. 5G D2D Transmission Mode Selection Performance Cluster Limits Evaluation of Distributed AI and ML Techniques

    I. Ioannou, C. Christophorou, V. Vassiliou, and A. Pitsillides, “5G D2D Transmission Mode Selection Performance Cluster Limits Evaluation of Distributed AI and ML Techniques,” in 10th IEEE International Conference on Communication, Networks and Satellite, Comnetsat 2021 – Proceedings, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 70–80. doi: 10.1109/COMNETSAT53002.2021.9530792.

  31. BCIManager: A library for development of brain-computer interfacing applications in Unity

    F. Skola and F. Liarokapis, “BCIManager: A library for development of brain-computer interfacing applications in Unity,” in IEEE Conference on Computatonal Intelligence and Games, CIG, IEEE Computer Society, 2021. doi: 10.1109/CoG52621.2021.9619123.

  32. Projective Urban Texturing

    Y. Georgiou, M. Averkiou, T. Kelly, and E. Kalogerakis, “Projective Urban Texturing,” in Proceedings – 2021 International Conference on 3D Vision, 3DV 2021, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 1034–1043. doi: 10.1109/3DV53792.2021.00111.

  33. A Game-Based Cognitive Assessment for Visuospatial Tasks: Evaluation in Healthy Adults

    M. Hadjiaros, K. Neokleous, E. Schiza, M. Matsangidou, M. N. Avraamides, and C. S. Pattichis, “A Game-Based Cognitive Assessment for Visuospatial Tasks: Evaluation in Healthy Adults,” in BIBE 2021 – 21st IEEE International Conference on BioInformatics and BioEngineering, Proceedings, Institute of Electrical and Electronics Engineers Inc., 2021. doi: 10.1109/BIBE52308.2021.9635507.

  34. Tracing El greco’s echoes of antiquity: Audience interaction with online art

    P. Pericleous, I. Assimakopoulou, A. Ioannou, C. Fidas, and N. Avouris, “Tracing El greco’s echoes of antiquity: Audience interaction with online art,” in ACM International Conference Proceeding Series, Association for Computing Machinery, 2021. doi: 10.1145/3489410.3489434.

  35. Evaluating local intrusion detection in the internet of things

    C. Ioannou and V. Vassiliou, “Evaluating local intrusion detection in the internet of things,” in 2021 19th Mediterranean Communication and Computer Networking Conference, MedComNet 2021, Institute of Electrical and Electronics Engineers Inc., 2021. doi: 10.1109/MEDCOMNET52149.2021.9501269.

  36. Dynamic Resource Allocation for SDN-based Virtual Fog-RAN 5G-and-Beyond Networks

    P. Rahimi, C. Chrysostomou, H. Pervaiz, V. Vassiliou, and Q. Ni, “Dynamic Resource Allocation for SDN-based Virtual Fog-RAN 5G-and-Beyond Networks,” in Proceedings – IEEE Global Communications Conference, GLOBECOM, 2021. doi: 10.1109/GLOBECOM46510.2021.9685458.

  37. Perceived realism of pedestrian crowds trajectories in VR

    D. Giunchi et al., “Perceived realism of pedestrian crowds trajectories in VR,” in Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST, S. N. Spencer, Ed., Association for Computing Machinery, 2021. doi: 10.1145/3489849.3489860.

  38. A Novel Lip Synchronization Approach for Games and Virtual Environments

    J. Krejsa and F. Liarokapis, “A Novel Lip Synchronization Approach for Games and Virtual Environments,” in IEEE Conference on Computatonal Intelligence and Games, CIG, IEEE Computer Society, 2021. doi: 10.1109/CoG52621.2021.9619128.

  39. A Smartphone Application Designed to Detect Obstacles for Pedestrians’ Safety

    M. Thoma, Z. Theodosiou, H. Partaourides, C. Tylliros, D. Antoniades, and A. Lanitis, “A Smartphone Application Designed to Detect Obstacles for Pedestrians’ Safety,” in Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, S. Paiva, S. I. Lopes, R. Zitouni, N. Gupta, S. F. Lopes, and T. Yonezawa, Eds., Springer Science and Business Media Deutschland GmbH, 2021, pp. 358–371. doi: 10.1007/978-3-030-76063-2_25.

  40. Look Behind You! – Using a Face Camera for Mobile Augmented Reality Odometry

    J. Čejka and F. Liarokapis, “Look Behind You! – Using a Face Camera for Mobile Augmented Reality Odometry,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), M. Ioannides, E. Fink, L. Cantoni, and E. Champion, Eds., Springer Science and Business Media Deutschland GmbH, 2021, pp. 215–227. doi: 10.1007/978-3-030-73043-7_18.

  41. Converting image labels to meaningful and information-rich embeddings

    S. Karatsiolis and A. Kamilaris, “Converting image labels to meaningful and information-rich embeddings,” in ICPRAM 2021 – Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, D. M. M, di B. G. S, and A. Fred, Eds., SciTePress, 2021, pp. 107–119. [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103832778&partnerID=40&md5=f23e6358af6022255fb55586596604e8

2020
  1. Emotion-based Stereotypes in Image Analysis Services

    K. Kyriakou, S. Kleanthous, J. Otterbacher, and G. A. Papadopoulos, “Emotion-based Stereotypes in Image Analysis Services,” in UMAP 2020 Adjunct – Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization, Association for Computing Machinery, Inc, 2020, pp. 252–259. doi: 10.1145/3386392.3399567.

  2. Cache-Property-Aware Features for DNS Tunneling Detection

    N. Ishikura, D. Kondo, I. Iordanov, V. Vassiliades, and H. Tode, “Cache-Property-Aware Features for DNS Tunneling Detection,” in 2020 23rd Conference on Innovation in Clouds, Internet and Networks and Workshops, ICIN 2020, Institute of Electrical and Electronics Engineers Inc., 2020, pp. 216–220. doi: 10.1109/ICIN48450.2020.9059472.

  3. Underwater Search and Discovery: From Serious Games to Virtual Reality

    F. Liarokapis, I. Vidová, S. Rizvić, S. Demesticha, and D. Skarlatos, “Underwater Search and Discovery: From Serious Games to Virtual Reality,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), C. Stephanidis, J. Y. C. Chen, and G. Fragomeni, Eds., Springer Science and Business Media Deutschland GmbH, 2020, pp. 178–197. doi: 10.1007/978-3-030-59990-4_15.

  4. Revisiting Authenticity in the Age of the Digital Transformation of Cultural Tourism

    M. Shehade and T. Stylianou-Lambert, “Revisiting Authenticity in the Age of the Digital Transformation of Cultural Tourism,” in Springer Proceedings in Business and Economics, V. Katsoni and T. Spyriadis, Eds., Springer Science and Business Media B.V., 2020, pp. 3–16. doi: 10.1007/978-3-030-36342-0_1.

  5. Assessing the Learning of Folk Dance Movements Using Immersive Virtual Reality,

    I. Kico, D. Zelnicek, and F. Liarokapis, “Assessing the Learning of Folk Dance Movements Using Immersive Virtual Reality,” in Proceedings of the International Conference on Information Visualisation, E. Banissi, F. Khosrow-Shahi, A. Ursyn, McK. B. M. W, J. M. Pires, N. Datia, K. Nazemi, B. Kovalerchuk, J. Counsell, A. Agapiou, Z. Vrcelj, C. H.-W., M. Li, G. Nagy, R. Laing, R. Francese, M. Sarfraz, F. Bouali, G. Venturin, M. Trutschl, U. Cvek, H. Muller, M. Nakayama, M. Temperini, D. M. T, F. S. v Rossano, R. Dorner, L. Caruccio, A. Vitiello, W. Huang, M. Risi, U. Erra, R. Andonie, M. A. Ahmad, A. Figueiras, and M. S. Mabakane, Eds., Institute of Electrical and Electronics Engineers Inc., 2020, pp. 587–592. doi: 10.1109/IV51561.2020.00100.

  6. An Overview of Assistive Robotics and Technologies for Elderly Care

    E.G. Christoforou, A. S. Panayides, S. Avgousti, P. Masouras, and C. S. Pattichis, “An Overview of Assistive Robotics and Technologies for Elderly Care,” in IFMBE Proceedings, J. Henriques, de C. P, and N. Neves, Eds., Springer, 2020, pp. 971–976. doi: 10.1007/978-3-030-31635-8_118.

2019
  1. Training deep learning models via synthetic data: Application in unmanned aerial vehicles

    A. Kamilaris, C. van den Brink, and S. Karatsiolis, “Training deep learning models via synthetic data: Application in unmanned aerial vehicles,” in Communications in Computer and Information Science, M. Vento, G. Percannella, S. Colantonio, D. Giorgi, B. J. Matuszewski, H. Kerdegari, and M. Razaak, Eds., Springer Verlag, 2019, pp. 81–90. doi: 10.1007/978-3-030-29930-9_8.

2018
  1. Geometrical Algorithms for Real Time Sound Rendering Using Intelligent Prioritization

    P. Charalampous and D. Michael-Grigoriou, “Geometrical Algorithms for Real Time Sound Rendering Using Intelligent Prioritization,” in ICAT-EGVE 2018 – 28th International Conference on Artificial Reality and Telexistence and 23rd Eurographics Symposium on Virtual Environments, G. Bruder, S. Cobb, S. Yoshimoto, D. W. Fellner, W. Hansmann, W. Purgathofer, and F. Sillion, Eds., The Eurographics Association, 2018, pp. 85–93. doi: 10.2312/egve.20181319 .

2024
  1. Preface,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

    P. Zaphiris and A. Ioannou, “Preface,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14724 LNCS, pp. xiii–xiv, 2024, [Online]. Available:

  2. Special Issue on Advanced Interaction in Cultural Heritage

    F. Liarokapis and A. Damala, “Special Issue on Advanced Interaction in Cultural Heritage,” International Journal of Human-Computer Interaction, vol. 40, no. 6, pp. 1339–1340, 2024, doi: 10.1080/10447318.2024.2302235.

  3. Editorial: Computational argumentation: a foundation for human-centric AI

    E. Dietz, A. Kakas, and L. Michael, “Editorial: Computational argumentation: a foundation for human-centric AI,” Frontiers in Artificial Intelligence, vol. 7, 2024, doi: 10.3389/frai.2024.1382426.

  4. Preface to the Workshop on Mobile and Multimodal HCI Design Approaches in Museums for People with Impairments

    C. Fidas et al., “Preface to the Workshop on Mobile and Multimodal HCI Design Approaches in Museums for People with Impairments,” CEUR Workshop Proceedings, vol. 3622, 2024, [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184332683&partnerID=40&md5=9cd0ecb55f5ba752c771d9995fdca02e

  5. Special issue on technologies and applications for ubiquitous interactive media,

    F. Liarokapis, S. von Mammen, and H.-N. Liang, “Special issue on technologies and applications for ubiquitous interactive media,” Personal and Ubiquitous Computing, vol. 28, no. 3–4, pp. 447–448, 2024, doi: 10.1007/s00779-024-01828-2.

  6. Preface,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

    P. Zaphiris and A. Ioannou, “Preface,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14723 LNCS, pp. xiii–xiv, 2024, [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196192957&partnerID=40&md5=6eaef7a4dfa4ede0a837fa75e39d0bf4

  7. Preface,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

    P. Zaphiris and A. Ioannou, “Preface,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14722 LNCS, pp. xii–xiv, 2024, [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197240563&partnerID=40&md5=b6584feef7b84e8925ee1887ec87918a

  8. Trends, tensions, and futures of maker education research: a 2025 vision for STEM+ disciplinary and transdisciplinary spaces for learning through making

    A. Ioannou and B. E. Gravel, “Trends, tensions, and futures of maker education research: a 2025 vision for STEM+ disciplinary and transdisciplinary spaces for learning through making,” Educational Technology Research and Development, vol. 72, no. 1, pp. 1–14, 2024, doi: 10.1007/s11423-023-10334-w.

2023
  1. Preface,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

    P. Zaphiris and A. Ioannou, “Preface,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14041 LNCS, pp. xiii–xiv, 2023, [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173043006&partnerID=40&md5=90a6354d5abe7f3cabcbd07459051467

  2. UMAP 2023 Chairs’ Welcome,” UMAP 2023 – Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization

    T. Kuflik, S. Kleanthous, J. Neidhardt, and M. S. Pera, “UMAP 2023 Chairs’ Welcome,” UMAP 2023 – Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, p. III–VI, 2023, [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163704597&partnerID=40&md5=5f11c28af67556df0c91e423c445dc64

  3. Guest Editorial Large-Scale Medical Image and Video Analytics for Clinical Decision Support

    M. S. Pattichis, S. T. Acton, C. S. Pattichis, and A. S. Panayides, “Guest Editorial Large-Scale Medical Image and Video Analytics for Clinical Decision Support,” IEEE Journal of Biomedical and Health Informatics, vol. 27, no. 1, pp. 4–6, 2023, doi: 10.1109/JBHI.2022.3227126.

  4. Preface,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

    N. Tsapatsoulis et al., “Preface,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14184 LNCS, pp. v–vi, 2023, [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174469272&partnerID=40&md5=43d699a770d869eb3416580c9a09460e

  5. Foreword to the special section on emerging computer graphics

    F. Liarokapis and Y. Chrysanthou, “Foreword to the special section on emerging computer graphics,” Computers and Graphics (Pergamon), vol. 116, pp. A4–A5, 2023, doi: 10.1016/j.cag.2023.10.024.

  6. UMAP 2023 Chairs’ Welcome,” UMAP 2023 – Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization

    T. Kuflik, S. Kleanthous, J. Neidhardt, and M. S. Pera, “UMAP 2023 Chairs’ Welcome,” UMAP 2023 – Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, pp. iii–vi, 2023, [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163799010&partnerID=40&md5=1eaabf92df5600f148eecfcbdd3d06be

  7. Preface,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

    N. Tsapatsoulis et al., “Preface,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14185 LNCS, pp. v–vi, 2023, [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174462671&partnerID=40&md5=8b990dc894a245e1021aab5a2f89f6c9

  8. Introduction,” Museums and Technologies of Presence

    M. Shehade and T. Stylianou-Lambert, “Introduction,” Museums and Technologies of Presence, pp. 1–8, 2023, doi: 10.4324/9781003334316-1.

2022
  1. AFTERWORD,” Emerging Technologies and Museums: Mediating Difficult Heritage

    A. Bounia, T. Stylianou-Lambert, and A. Heraclidou, “AFTERWORD,” Emerging Technologies and Museums: Mediating Difficult Heritage, pp. 233–238, 2022, [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134944076&partnerID=40&md5=dde7ad5426b7b07ea98fe672a42a7e32

  2. Message from the General Chairs

    V. Vassiliou and C.-F. Chiasserini, “Message from the General Chairs,” 2022 20th Mediterranean Communication and Computer Networking Conference, MedComNet 2022, 2022, doi: 10.1109/MedComNet55087.2022.9810420.

  3. Preface

    P. Zaphiris and A. Ioannou, “Preface,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13329 LNCS, p. xi, 2022, [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133158871&partnerID=40&md5=c69551b8aee9d763d02253ed7f84edde

  4. Preface

    P. Zaphiris and A. Ioannou, “Preface,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13328 LNCS, pp. xiii–xiv, 2022, [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133252882&partnerID=40&md5=13e8e3df815780301582d5fcb2befe56

2021
  1. Editorial: Connected Health: Status and Trends

    C. S. Pattichis, A. S. Panayides, and C. Nugent, “Editorial: Connected Health: Status and Trends,” Frontiers in Digital Health, vol. 3, 2021, doi: 10.3389/fdgth.2021.762270.

  2. Message from the ISIoT 2021 Workshop Chairs

    V. Vassiliou and Z. Zinonos, “Message from the ISIoT 2021 Workshop Chairs,” Proceedings – 17th Annual International Conference on Distributed Computing in Sensor Systems, DCOS 2021, p. xxii, 2021, doi: 10.1109/DCOSS52077.2021.00011.

  3. Preface

    M. Shehade and T. Stylianou-Lambert, “Preface,” Communications in Computer and Information Science, vol. 1432, pp. v–vii, 2021, [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113260996&partnerID=40&md5=fc15dcec699c317172a2333932595124

  4. Preface,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

    C. Pattichis, A. Lanitis, N. Tsapatsoulis, A. Panayides, T. Theocharides, and M. Vento, “Preface,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13053 LNCS, pp. v–vi, 2021, [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119490200&partnerID=40&md5=6f42e0a44c9105bf96b9b81b703007c6

  5. Advanced multimodal interaction techniques and user interfaces for serious games and virtual environments

    F. Liarokapis, S. von Mammen, and A. Vourvopoulos, “Advanced multimodal interaction techniques and user interfaces for serious games and virtual environments,” Journal on Multimodal User Interfaces, vol. 15, no. 3, pp. 255–256, 2021, doi: 10.1007/s12193-021-00380-0.

2025
  1. Crowdsourcing or AI Sourcing?

    E. Christoforou, G. Demartini, and J. Otterbacher, “Crowdsourcing or AI Sourcing?,” Communications of the ACM, vol. 68, no. 4, pp. 24–27, 2025, doi: 10.1145/3706101.

  2. CEDRL: Simulating Diverse Crowds with Example-Driven Deep Reinforcement Learning

    A. Panayiotou, A. Aristidou, and P. Charalambous, “CEDRL: Simulating Diverse Crowds with Example-Driven Deep Reinforcement Learning,” Computer Graphics Forum, 2025, doi: 10.1111/cgf.70015.

  3. Cypriot teachers’ digital skills and attitudes towards AI

    M. Kasinidou, S. Kleanthoys, and J. Otterbacher, “Cypriot teachers’ digital skills and attitudes towards AI,” Discover Education, vol. 4, no. 1, 2025, doi: 10.1007/s44217-024-00390-6.

  4. An accurate two-stage deep machine learning aided air quality estimation based on multiple gases from aerial images

    I. Ioannou et al., “An accurate two-stage deep machine learning aided air quality estimation based on multiple gases from aerial images,” Air Quality, Atmosphere and Health, 2025, doi: 10.1007/s11869-025-01710-x.

  5. Transported to a better place’: The influence of virtual reality on the behavioural and psychological symptoms of dementia

    M. Matsangidou, T. Solomou, F. Frangoudes, E. Papayianni, N. Kkeli, and C. S. Pattichi, “‘Transported to a better place’: The influence of virtual reality on the behavioural and psychological symptoms of dementia,” International Journal of Human Computer Studies, vol. 196, 2025, doi: 10.1016/j.ijhcs.2024.103413.

  6. Evaluating the impact of an automated body language assessment system

    E. Dimitriadou and A. Lanitis, “Evaluating the impact of an automated body language assessment system,” Education and Information Technologies, vol. 30, no. 3, pp. 3509–3539, 2025, doi: 10.1007/s10639-024-12931-5.

  7. AI and the economic divide: How Artificial Intelligence could widen the divide in the U.S.

    A. Septiandri, M. Constantinides, and D. Quercia, “AI and the economic divide: How Artificial Intelligence could widen the divide in the U.S.,” EPJ Data Science, vol. 14, no. 1, 2025, doi: 10.1140/epjds/s13688-025-00547-9.

  8. Fairness-Aware Graph Neural Networks for ICU Length of Stay Prediction in IoT-Enabled Environments

    A. Christos Maroudis, K. Karathanasopoulou, C. C. Stylianides, G. Dimitrakopoulos, and A. S. Panayides, “Fairness-Aware Graph Neural Networks for ICU Length of Stay Prediction in IoT-Enabled Environments,” IEEE Access, vol. 13, pp. 64516–64533, 2025, doi: 10.1109/ACCESS.2025.3560180.

  9. The experience of running: Recommending routes using sensory mapping in urban environments

    K. Hänsel et al., “The experience of running: Recommending routes using sensory mapping in urban environments,” International Journal of Human Computer Studies, vol. 201, 2025, doi: 10.1016/j.ijhcs.2025.103512.

  10. Learning design for short-duration e-textile workshops: outcomes on knowledge and skills

    A. Ioannou, O. Miliou, Y. Georgiou, S. Timotheou, L. Barkhuus, and J. Rode, “Learning design for short-duration e-textile workshops: outcomes on knowledge and skills,” Educational Technology Research and Development, vol. 73, no. 1, pp. 443–463, 2025, doi: 10.1007/s11423-024-10411-8.

  11. Building entrepreneurial self-efficacy in the EdTech sector: the impact of an entrepreneurship education program

    A. Ioannou and S. Retalis, “Building entrepreneurial self-efficacy in the EdTech sector: the impact of an entrepreneurship education program,” International Journal of Information and Learning Technology, 2025, doi: 10.1108/IJILT-12-2023-0234.

  12. Bridging language barriers in healthcare: a patient-centric mobile app for multilingual health record access and sharing

    T. Solomou et al., “Bridging language barriers in healthcare: a patient-centric mobile app for multilingual health record access and sharing,” Frontiers in Digital Health, vol. 7, 2025, doi: 10.3389/fdgth.2025.1542485.

  13. Multi-Modal Instrument Performances (MMIP): A Musical Database

    T. Kyriakou, A. Aristidou, and P. Charalambous, “Multi-Modal Instrument Performances (MMIP): A Musical Database,” Computer Graphics Forum, 2025, doi: 10.1111/cgf.70025.

  14. Deep convolutional generative adversarial networks in retinitis pigmentosa disease images augmentation and detection

    P. Powroznik, M. Skublewska-Paszkowska, K. Nowomiejska, A. Aristidou, A. Panayides, and R. Rejdak, “Deep convolutional generative adversarial networks in retinitis pigmentosa disease images augmentation and detection,” Advances in Science and Technology Research Journal, vol. 19, no. 2, pp. 321–340, 2025, doi: 10.12913/22998624/196179.

  15. Designing Assessmake21 for Self-Reflection in Maker Education: Insights from a Design Case

    A. Mavri, A. Ioannou, and A. Kitsis, “Designing Assessmake21 for Self-Reflection in Maker Education: Insights from a Design Case,” International Journal of Human-Computer Interaction, 2025, doi: 10.1080/10447318.2025.2482752.

  16. DSTL: A Dual-Step Transfer Learning-Based Prediction Model for Next-Generation Intelligent Cellular Networks

    W. A. Aziz, I. I. Ioannou, M. Lestas, and V. Vassiliou, “DSTL: A Dual-Step Transfer Learning-Based Prediction Model for Next-Generation Intelligent Cellular Networks,” Intelligent and Converged Networks, vol. 6, no. 1, pp. 82–101, 2025, doi: 10.23919/ICN.2025.0005.

  17. Hybrid-Segmentor: Hybrid approach for automated fine-grained crack segmentation in civil infrastructure

    J. M. Goo, X. Milidonis, A. Artusi, J. Boehm, and C. Ciliberto, “Hybrid-Segmentor: Hybrid approach for automated fine-grained crack segmentation in civil infrastructure,” Automation in Construction, vol. 170, 2025, doi: 10.1016/j.autcon.2024.105960.

  18. DragPoser: Motion Reconstruction from Variable Sparse Tracking Signals via Latent Space Optimization

    J. L. Ponton, E. Pujol, A. Aristidou, C. Andujar, and N. Pelechano, “DragPoser: Motion Reconstruction from Variable Sparse Tracking Signals via Latent Space Optimization,” Computer Graphics Forum, 2025, doi: 10.1111/cgf.70026.

  19. Understanding practicing and assessment of 21st-century skills for learners in makerspaces and FabLabs

    A. Ioannou, O. Miliou, M. Adamou, A. Kitsis, S. Timotheou, and A. Mavri, “Understanding practicing and assessment of 21st-century skills for learners in makerspaces and FabLabs,” Education and Information Technologies, vol. 30, no. 7, pp. 8829–8846, 2025, doi: 10.1007/s10639-024-13178-w.

  20. Estimation of above ground biomass of mangrove forest plot using terrestrial laser scanner

    Y. Kumar Adimoolam, N. D. Pillai, G. Lakshmanan, D. Mishra, and V. Kumar Dadhwal, “Estimation of above ground biomass of mangrove forest plot using terrestrial laser scanner,” Egyptian Journal of Remote Sensing and Space Science, vol. 28, no. 1, pp. 1–11, 2025, doi: 10.1016/j.ejrs.2024.11.002.

  21. LEAD: Latent Realignment for Human Motion Diffusion

    N. Andreou, X. Wang, V. F. Abrevaya, M.-P. Cani, Y. Chrysanthou, and V. Kalogeiton, “LEAD: Latent Realignment for Human Motion Diffusion,” Computer Graphics Forum, 2025, doi: 10.1111/cgf.70093.

  22. DeepSafe:Two-level deep learning approach for disaster victims detection

    A. Azizi, P. Charalambous, and Y. Chrysanthou, “DeepSafe:Two-level deep learning approach for disaster victims detection,” Virtual Reality and Intelligent Hardware, vol. 7, no. 2, pp. 139–154, 2025, doi: 10.1016/j.vrih.2024.08.005.

  23. Enhancing creativity and cognitive skills in healthcare curricula: Recommendations from a modified delphi study on virtual reality integration

    M. Pears et al., “Enhancing creativity and cognitive skills in healthcare curricula: Recommendations from a modified delphi study on virtual reality integration,” Thinking Skills and Creativity, vol. 57, 2025, doi: 10.1016/j.tsc.2025.101810.

  24. A Novel Multidisciplinary Approach for Reptile Movement and Behavior Analysis

    S. Zotos et al., “A Novel Multidisciplinary Approach for Reptile Movement and Behavior Analysis,” Integrative Zoology, 2025, doi: 10.1111/1749-4877.12960.

2024
  1. Two Types of Limitations in Modeling Chemical Processes at Elevated Pressures

    Y. K. Tovbin and E. v Votyakov, “Two Types of Limitations in Modeling Chemical Processes at Elevated Pressures,” Theoretical Foundations of Chemical Engineering, vol. 58, no. 5, pp. 1727–1744, 2024, doi: 10.1134/S0040579525600810.

  2. Music and speech time perception of musically trained individuals: The effects of audio type, duration of musical training, and rhythm perception

    M. N. Plastira, M. P. Michaelides, and M. N. Avraamides, “Music and speech time perception of musically trained individuals: The effects of audio type, duration of musical training, and rhythm perception,” Quarterly Journal of Experimental Psychology, vol. 77, no. 9, pp. 1835–1845, 2024, doi: 10.1177/17470218231205857.

  3. A novel automated approach for fish biomass estimation in turbid environments through deep learning, object detection, and regression

    S. v Jansi Rani, I. Ioannou, R. Swetha, R. M. Dhivya Lakshmi, and V. Vassiliou, “A novel automated approach for fish biomass estimation in turbid environments through deep learning, object detection, and regression,” Ecological Informatics, vol. 81, 2024, doi: 10.1016/j.ecoinf.2024.102663.

  4. A model for enhancing creativity, collaboration and pre-professional identities in technology-supported cross-organizational communities of practice

    A. Mavri, A. Ioannou, and F. Loizides, “A model for enhancing creativity, collaboration and pre-professional identities in technology-supported cross-organizational communities of practice,” Education and Information Technologies, vol. 29, no. 11, pp. 13325–13366, 2024, doi: 10.1007/s10639-023-12295-2.

  5. DeepRISBeam: Deep Learning-Based RIS Beam Management for Radio Channel Optimization

    I. I. Ioannou et al., “DeepRISBeam: Deep Learning-Based RIS Beam Management for Radio Channel Optimization,” IEEE Access, vol. 12, pp. 81646–81681, 2024, doi: 10.1109/ACCESS.2024.3411929.

  6. High-resolution free-breathing automated quantitative myocardial perfusion by cardiovascular magnetic resonance for the detection of functionally significant coronary artery disease

    R. Crawley et al., “High-resolution free-breathing automated quantitative myocardial perfusion by cardiovascular magnetic resonance for the detection of functionally significant coronary artery disease,” European Heart Journal Cardiovascular Imaging, vol. 25, no. 7, pp. 914–925, 2024, doi: 10.1093/ehjci/jeae084.

  7. GEMLIDS-MIOT: A Green Effective Machine Learning Intrusion Detection System based on Federated Learning for Medical IoT network security hardening

    I. Ioannou et al., “GEMLIDS-MIOT: A Green Effective Machine Learning Intrusion Detection System based on Federated Learning for Medical IoT network security hardening,” Computer Communications, vol. 218, pp. 209–239, 2024, doi: 10.1016/j.comcom.2024.02.023.

  8. Optimized Tile Quality Selection in Multi-user 360° Video Streaming

    M. Mahmoud et al., “Optimized Tile Quality Selection in Multi-user 360° Video Streaming,” IEEE Open Journal of the Communications Society, 2024, doi: 10.1109/OJCOMS.2024.3498334.

  9. Reshaping the peripersonal space in virtual reality

    I. Petrizzo, K. Mikellidou, S. Avraam, M. Avraamides, and R. Arrighi, “Reshaping the peripersonal space in virtual reality,” Scientific reports, vol. 14, no. 1, p. 2438, 2024, doi: 10.1038/s41598-024-52383-y.

  10. Effects of Indirect Correlations between Attracted Particles on the Adsorption and Desorption Rates during Physical Adsorption

    E. v Votyakov and Y. K. Tovbin, “Effects of Indirect Correlations between Attracted Particles on the Adsorption and Desorption Rates during Physical Adsorption,” Russian Journal of Physical Chemistry A, vol. 98, no. 6, pp. 1293–1300, 2024, doi: 10.1134/S0036024424700249.

  11. Optimized Tile Quality Selection in Multi-User 360° Video Streaming

    M. Mahmoud et al., “Optimized Tile Quality Selection in Multi-User 360° Video Streaming,” IEEE Open Journal of the Communications Society, vol. 5, pp. 7301–7316, 2024, doi: 10.1109/OJCOMS.2024.3498334.

  12. Secure and Fast Image Encryption Algorithm Based on Modified Logistic Map

    M. Riaz et al., “Secure and Fast Image Encryption Algorithm Based on Modified Logistic Map,” Information (Switzerland), vol. 15, no. 3, 2024, doi: 10.3390/info15030172.

  13. A Weakly Supervised Multimodal Deep Learning Approach for Large-Scale Tree Classification: A Case Study in Cyprus

    A. Amin, A. Kamilaris, and S. Karatsiolis, “A Weakly Supervised Multimodal Deep Learning Approach for Large-Scale Tree Classification: A Case Study in Cyprus,” Remote Sensing, vol. 16, no. 23, 2024, doi: 10.3390/rs16234611.

  14. Assessing the Health Impact of Disinfection Byproducts in Drinking Water

    I. Kalita, A. Kamilaris, P. Havinga, and I. Reva, “Assessing the Health Impact of Disinfection Byproducts in Drinking Water,” ACS ES and T Water, vol. 4, no. 4, pp. 1564–1578, 2024, doi: 10.1021/acsestwater.3c00664.

  15. XR4ED: An Extended Reality Platform for Education

    F. Liarokapis et al., “XR4ED: An Extended Reality Platform for Education,” IEEE Computer Graphics and Applications, vol. 44, no. 4, pp. 79–88, 2024, doi: 10.1109/MCG.2024.3406139.

  16. Virtual Reality Brain-Computer Interfacing and the Role of Cognitive Skills

    M. Hadjiaros, A. Shimi, M. N. Avraamides, K. Neokleous, and C. S. Pattichis, “Virtual Reality Brain-Computer Interfacing and the Role of Cognitive Skills,” IEEE Access, vol. 12, pp. 129240–129261, 2024, doi: 10.1109/ACCESS.2024.3426620.

  17. Virtual Instrument Performances (VIP): A Comprehensive Review

    T. Kyriakou, M. Á. de la Campa Crespo, A. Panayiotou, Y. Chrysanthou, P. Charalambous, and A. Aristidou, “Virtual Instrument Performances (VIP): A Comprehensive Review,” Computer Graphics Forum, vol. 43, no. 2, 2024, doi: 10.1111/cgf.15065.

  18. Scalable Retrieval of Similar Landscapes in Optical Satellite Imagery Using Unsupervised Representation Learning

    S. Karatsiolis, C. Padubidri, and A. Kamilaris, “Scalable Retrieval of Similar Landscapes in Optical Satellite Imagery Using Unsupervised Representation Learning,” Remote Sensing, vol. 16, no. 1, 2024, doi: 10.3390/rs16010142.

  19. Effects of Indirect Correlations between Interacting Particles on the Label, Mass, and Momentum Transfer Coefficients

    E. v Votyakov and Y. K. Tovbin, “Effects of Indirect Correlations between Interacting Particles on the Label, Mass, and Momentum Transfer Coefficients,” Russian Journal of Physical Chemistry A, vol. 98, no. 8, pp. 1687–1697, 2024, doi: 10.1134/S0036024424700730.

  20. Student Action Recognition for Improving Teacher Feedback During Tele-Education

    E. Dimitriadou and A. Lanitis, “Student Action Recognition for Improving Teacher Feedback During Tele-Education,” IEEE Transactions on Learning Technologies, vol. 17, pp. 569–584, 2024, doi: 10.1109/TLT.2023.3301094.

  21. Advancing pneumonia virus drug discovery with virtual screening: A cutting-edge fast and resource efficient machine learning framework for predictive analysis

    O. Sharma, G. S. P. Ghantasala, I. Ioannou, and V. Vassiliou, “Advancing pneumonia virus drug discovery with virtual screening: A cutting-edge fast and resource efficient machine learning framework for predictive analysis,” Informatics in Medicine Unlocked, vol. 47, 2024, doi: 10.1016/j.imu.2024.101471.

  22. Extended Reality Educational System with Virtual Teacher Interaction for Enhanced Learning

    F. Liarokapis, V. Milata, and F. Skola, “Extended Reality Educational System with Virtual Teacher Interaction for Enhanced Learning,” Multimodal Technologies and Interaction, vol. 8, no. 9, 2024, doi: 10.3390/mti8090083.

  23. A Distributed AI Framework for Nano-Grid Power Management and Control

    I. I. Ioannou, S. Javaid, C. Christophorou, V. Vassiliou, A. Pitsillides, and Y. Tan, “A Distributed AI Framework for Nano-Grid Power Management and Control,” IEEE Access, vol. 12, pp. 43350–43377, 2024, doi: 10.1109/ACCESS.2024.3377926.

  24. Mass Transfer and Fluctuations in the Root-Mean-Square Density of Molecules around the Critical Point

    E. v Votyakov and Y. K. Tovbin, “Mass Transfer and Fluctuations in the Root-Mean-Square Density of Molecules around the Critical Point,” Russian Journal of Physical Chemistry A, vol. 98, no. 12, pp. 2767–2777, 2024, doi: 10.1134/S0036024424702017.

  25. Leveraging machine learning and rule extraction for enhanced transparency in emergency department length of stay prediction

    W. A. Sulaiman et al., “Leveraging machine learning and rule extraction for enhanced transparency in emergency department length of stay prediction,” Frontiers in Digital Health, vol. 6, 2024, doi: 10.3389/fdgth.2024.1498939.

  26. A Study in Zucker: Insights on Interactions between Humans and Small Service Robots

    A. Day and I. Karamouzas, “A Study in Zucker: Insights on Interactions between Humans and Small Service Robots,” IEEE Robotics and Automation Letters, vol. 9, no. 3, pp. 2471–2478, 2024, doi: 10.1109/LRA.2024.3355641.

  27. Digital 3D models for medieval heritage: diachronic analysis and documentation of its architecture and paintings

    I. Munoz-Pandiella et al., “Digital 3D models for medieval heritage: diachronic analysis and documentation of its architecture and paintings,” Personal and Ubiquitous Computing, vol. 28, no. 3–4, pp. 521–547, 2024, doi: 10.1007/s00779-024-01816-6.

  28. Design and Evaluation of a Memory-Recalling Virtual Reality Application for Elderly Users

    Z. Anastasiadou, E. Dimitriadou, and A. Lanitis, “Design and Evaluation of a Memory-Recalling Virtual Reality Application for Elderly Users,” Multimodal Technologies and Interaction, vol. 8, no. 3, 2024, doi: 10.3390/mti8030024.

  29. Underwater virtual exploration of the ancient port of Amathus

    A. Alexandrou, F. Škola, D. Skarlatos, S. Demesticha, F. Liarokapis, and A. Aristidou, “Underwater virtual exploration of the ancient port of Amathus,” Journal of Cultural Heritage, vol. 70, pp. 181–193, 2024, doi: 10.1016/j.culher.2024.09.006.

  30. Beyond the echo chamber: modelling open-mindedness in citizens’ assemblies

    J. Barrett, K. Gal, L. Michael, and D. Vilenchik, “Beyond the echo chamber: modelling open-mindedness in citizens’ assemblies,” Autonomous Agents and Multi-Agent Systems, vol. 38, no. 2, 2024, doi: 10.1007/s10458-024-09655-8.

  31. Tracking Upper Limb Motion via Wearable Solutions: Systematic Review of Research From 2011 to 2023

    E. Karoulla, M. Matsangidou, F. Frangoudes, P. Paspalides, K. Neokleous, and C. S. Pattichis, “Tracking Upper Limb Motion via Wearable Solutions: Systematic Review of Research From 2011 to 2023,” Journal of Medical Internet Research, vol. 26, 2024, doi: 10.2196/51994.

  32. The impact of fine motor activities like playing musical instruments on the thickness and strength of the flexor digitorum muscle

    C. I. Ioannou, F. L. Hodde-Chriske, M. N. Avraamides, and E. Altenmüller, “The impact of fine motor activities like playing musical instruments on the thickness and strength of the flexor digitorum muscle,” Journal of Occupational Medicine and Toxicology, vol. 19, no. 1, 2024, doi: 10.1186/s12995-024-00430-9.

  33. An exploratory case study of the use of a digital self-assessment tool of 21st-century skills in makerspace contexts

    O. Miliou, M. Adamou, A. Mavri, and A. Ioannou, “An exploratory case study of the use of a digital self-assessment tool of 21st-century skills in makerspace contexts,” Educational Technology Research and Development, vol. 72, no. 1, pp. 239–260, 2024, doi: 10.1007/s11423-023-10314-0.

  34. Towards improving user awareness of search engine biases: A participatory design approach

    M. L. Paramita, M. Kasinidou, S. Kleanthous, P. Rosso, T. Kuflik, and F. Hopfgartner, “Towards improving user awareness of search engine biases: A participatory design approach,” Journal of the Association for Information Science and Technology, vol. 75, no. 5, pp. 581–599, 2024, doi: 10.1002/asi.24826.

  35. UnityGeoAR: A geolocation Augmented Reality package for Unity3D

    K. Cheliotis et al., “UnityGeoAR: A geolocation Augmented Reality package for Unity3D,” SoftwareX, vol. 27, 2024, doi: 10.1016/j.softx.2024.101774.

  36. VR/AR artworks in the museum: Redefining preservation through collaboration

    M. Aristidou and T. Stylianou-Lambert, “VR/AR artworks in the museum: Redefining preservation through collaboration,” Convergence, vol. 30, no. 5, pp. 1575–1595, 2024, doi: 10.1177/13548565241261995.

  37. Assessing User Experience and Cognitive Workload in Virtual Reality Digital Storytelling

    F. Škola, D. Boskovic, S. Rizvic, D. Skarlatos, and F. Liarokapis, “Assessing User Experience and Cognitive Workload in Virtual Reality Digital Storytelling,” International Journal of Human-Computer Interaction, vol. 40, no. 6, pp. 1479–1486, 2024, doi: 10.1080/10447318.2023.2247846.

  38. Effects of the Indirect Correlations of Interacting Particles on the Mono- and Bimolecular Adsorption and Desorption Rates during Chemisorption

    E. v Votyakov and Y. K. Tovbin, “Effects of the Indirect Correlations of Interacting Particles on the Mono- and Bimolecular Adsorption and Desorption Rates during Chemisorption,” Russian Journal of Physical Chemistry A, vol. 98, no. 4, pp. 720–728, 2024, doi: 10.1134/S0036024424040265.

  39. Digitizing traditional dances under extreme clothing: The case study of Eyo

    T. Ami-Williams, C.-G. Serghides, and A. Aristidou, “Digitizing traditional dances under extreme clothing: The case study of Eyo,” Journal of Cultural Heritage, vol. 67, pp. 145–157, 2024, doi: 10.1016/j.culher.2024.02.011.

  40. Accelerating Training of Convolutional Neural Networks with Hessian-Free Optimization for Detecting Alzheimer’s Disease in Brain MRI

    M. Pafitis, M. Constantinou, and C. Christodoulou, “Accelerating Training of Convolutional Neural Networks with Hessian-Free Optimization for Detecting Alzheimer’s Disease in Brain MRI,” IEEE Access, vol. 12, pp. 176184–176198, 2024, doi: 10.1109/ACCESS.2024.3487114.

  41. Virtual reality reusable e-resources for clinical skills training: a mixed-methods evaluation

    M. Pears et al., “Virtual reality reusable e-resources for clinical skills training: a mixed-methods evaluation,” Personal and Ubiquitous Computing, vol. 28, no. 3–4, pp. 643–654, 2024, doi: 10.1007/s00779-024-01805-9.

  42. Modular oversight methodology: A framework to aid ethical alignment of algorithmic creations

    K. Kyriakou and J. Otterbacher, “Modular oversight methodology: A framework to aid ethical alignment of algorithmic creations,” Design Science, vol. 10, 2024, doi: 10.1017/dsj.2024.23.

  43. Design and implementation of an interactive virtual library based on its physical counterpart

    C.-G. Serghides, G. Christoforides, N. Iakovides, and A. Aristidou, “Design and implementation of an interactive virtual library based on its physical counterpart,” Virtual Reality, vol. 28, no. 3, 2024, doi: 10.1007/s10055-024-01023-x.

  44. A Novel Self-Calibrated UWB-Based Indoor Localization Systems for Context-Aware Applications

    T. Ahmad et al., “A Novel Self-Calibrated UWB-Based Indoor Localization Systems for Context-Aware Applications,” IEEE Transactions on Consumer Electronics, vol. 70, no. 1, pp. 1672–1684, 2024, doi: 10.1109/TCE.2024.3369193.

  45. A fault tolerant node placement algorithm for WSNs and IoT networks

    N. Temene, A. Naoum, C. Sergiou, C. Georgiou, and V. Vassiliou, “A fault tolerant node placement algorithm for WSNs and IoT networks,” Computer Networks, vol. 254, 2024, doi: 10.1016/j.comnet.2024.110835.

  46. Identifying and Animating Movement of Zeibekiko Sequences by Spatial Temporal Graph Convolutional Network with Multi Attention Modules

    M. Skublewska-Paszkowska, P. Powroznik, M. Barszcz, K. Dziedzic, and A. Aristodou, “Identifying and Animating Movement of Zeibekiko Sequences by Spatial Temporal Graph Convolutional Network with Multi Attention Modules,” Advances in Science and Technology Research Journal, vol. 18, no. 8, pp. 217–227, 2024, doi: 10.12913/22998624/193180.

2023
  1. Multiple Sclerosis Disease Evolution Assessment in Brain MRI Lesions Based on Texture and Multi-Scale Amplitude Modulation-Frequency Modulation (AM-FM) Features

    C. P. Loizou, K. Fotso, A. Nicolaou, M. Pantzaris, M. S. Pattichis, and C. S. Pattichis, “Multiple Sclerosis Disease Evolution Assessment in Brain MRI Lesions Based on Texture and Multi-Scale Amplitude Modulation-Frequency Modulation (AM-FM) Features,” IEEE Access, vol. 11, pp. 29918–29933, 2023, doi: 10.1109/ACCESS.2023.3260982.

  2. A cross-sectional study of explainable machine learning in Alzheimer’s disease: diagnostic classification using MR radiomic features

    S. Leandrou et al., “A cross-sectional study of explainable machine learning in Alzheimer’s disease: diagnostic classification using MR radiomic features,” Frontiers in Aging Neuroscience, vol. 15, 2023, doi: 10.3389/fnagi.2023.1149871.


  3. F. Škola and F. Liarokapis, “Virtual Reality Embodiment in Motor Imagery Brain–Computer Interface Training,” SN Computer Science, vol. 4, no. 1, 2023, doi: 10.1007/s42979-022-01402-8.

  4. Virtual Reality Cognitive Gaming Based on Brain Computer Interfacing: A Narrative Review

    M. Hadjiaros, K. Neokleous, A. Shimi, M. N. Avraamides, and C. S. Pattichis, “Virtual Reality Cognitive Gaming Based on Brain Computer Interfacing: A Narrative Review,” IEEE Access, vol. 11, pp. 18399–18416, 2023, doi: 10.1109/ACCESS.2023.3247133.

  5. NoR-VDPNet++: Real-Time No-Reference Image Quality Metrics

    F. Banterle, A. Artusi, A. Moreo, F. Carrara, and P. Cignoni, “NoR-VDPNet++: Real-Time No-Reference Image Quality Metrics,” IEEE Access, vol. 11, pp. 34544–34553, 2023, doi: 10.1109/ACCESS.2023.3263496.

  6. An artificial neural network framework for classifying the style of cypriot hybrid examples of built heritage in 3D

    G. Artopoulos, M. I. Maslioukova, C. Zavou, M. Loizou, M. Deligiorgi, and M. Averkiou, “An artificial neural network framework for classifying the style of cypriot hybrid examples of built heritage in 3D,” Journal of Cultural Heritage, vol. 63, pp. 135–147, 2023, doi: 10.1016/j.culher.2023.07.016.


  7. K. Kyriakou and J. Otterbacher, “In humans, we trust: Multidisciplinary perspectives on the requirements for human oversight in algorithmic processes,” Discover Artificial Intelligence, vol. 3, no. 1, 2023, doi: 10.1007/s44163-023-00092-2.

  8. Long-Term Muscular Atrophy and Weakness Following Cessation of Botulinum Toxin Type A Injections in the Flexor Digitorum Muscle of Musicians with Focal Hand Dystonia

    C. I. Ioannou, F. L. Hodde-Chriske, and E. Altenmüller, “Long-Term Muscular Atrophy and Weakness Following Cessation of Botulinum Toxin Type A Injections in the Flexor Digitorum Muscle of Musicians with Focal Hand Dystonia,” Toxins, vol. 15, no. 4, 2023, doi: 10.3390/toxins15040296.

  9. Biases in object location estimation: The role of rotations and translation

    V. Segen, M. N. Avraamides, T. Slattery, and J. M. Wiener, “Biases in object location estimation: The role of rotations and translation,” Attention, Perception, and Psychophysics, vol. 85, no. 7, pp. 2307–2320, 2023, doi: 10.3758/s13414-023-02716-2.

  10. Mitigating Bias in Algorithmic Systems – A Fish-eye View

    K. Orphanou et al., “Mitigating Bias in Algorithmic Systems – A Fish-eye View,” ACM Computing Surveys, vol. 55, no. 5, 2023, doi: 10.1145/3527152.

  11. Development and Interrelation of Pain, Depression, and Anxiety in Music Students Does Successful Treatment of Pain Have an Impact on Mental Health?

    N. Kallusky et al., “Development and Interrelation of Pain, Depression, and Anxiety in Music Students Does Successful Treatment of Pain Have an Impact on Mental Health?,” Medical Problems of Performing Artists, vol. 38, no. 1, pp. 43–55, 2023, doi: 10.21091/mppa.2023.1006.

  12. Rates of Elementary Mono- and Bimolecular Stages in a Non-Ideal Reaction System, Allowing for Indirect Correlations in the Cluster Variation Model

    E. v Votyakov and Y. K. Tovbin, “Rates of Elementary Mono- and Bimolecular Stages in a Non-Ideal Reaction System, Allowing for Indirect Correlations in the Cluster Variation Model,” Russian Journal of Physical Chemistry A, vol. 97, no. 11, pp. 2415–2425, 2023, doi: 10.1134/S0036024423110341.

  13. A Blockchain-Based Data-Driven Fault-Tolerant Control System for Smart Factories in Industry 4.0

    A. B. Masood, A. Hasan, V. Vassiliou, and M. Lestas, “A Blockchain-Based Data-Driven Fault-Tolerant Control System for Smart Factories in Industry 4.0,” Computer Communications, vol. 204, pp. 158–171, 2023, doi: 10.1016/j.comcom.2023.03.017.

  14. Let’s all dance: Enhancing amateur dance motions

    Q. Zhou et al., “Let’s all dance: Enhancing amateur dance motions,” Computational Visual Media, vol. 9, no. 3, pp. 531–550, 2023, doi: 10.1007/s41095-022-0292-6.

  15. Offering Outworld Experiences to In-Patients With Dementia Through Virtual Reality: Mixed Methods Study

    M. Matsangidou, T. Solomou, F. Frangoudes, E. Papayianni, and C. S. Pattichis, “Offering Outworld Experiences to In-Patients With Dementia Through Virtual Reality: Mixed Methods Study,” JMIR Aging, vol. 6, 2023, doi: 10.2196/45799.

  16. Affective Out-World Experience via Virtual Reality for Older Adults Living with Mild Cognitive Impairments or Mild Dementia

    M. Matsangidou et al., “Affective Out-World Experience via Virtual Reality for Older Adults Living with Mild Cognitive Impairments or Mild Dementia,” International Journal of Environmental Research and Public Health, vol. 20, no. 4, 2023, doi: 10.3390/ijerph20042919.

  17. The role of perspective-taking on empowering the empathetic behavior of educators in VR-based training sessions: An experimental evaluation

    K. E. Stavroulia and A. Lanitis, “The role of perspective-taking on empowering the empathetic behavior of educators in VR-based training sessions: An experimental evaluation,” Computers and Education, vol. 197, 2023, doi: 10.1016/j.compedu.2023.104739.

  18. Rhythm is a Dancer: Music-Driven Motion Synthesis With Global Structure

    A. Aristidou, A. Yiannakidis, K. Aberman, D. Cohen-Or, A. Shamir, and Y. Chrysanthou, “Rhythm is a Dancer: Music-Driven Motion Synthesis With Global Structure,” IEEE Transactions on Visualization and Computer Graphics, vol. 29, no. 8, pp. 3519–3534, 2023, doi: 10.1109/TVCG.2022.3163676.

  19. GATEKEEPER’s Strategy for the Multinational Large-Scale Piloting of an eHealth Platform: Tutorial on How to Identify Relevant Settings and Use Cases

    J. de Batlle et al., “GATEKEEPER’s Strategy for the Multinational Large-Scale Piloting of an eHealth Platform: Tutorial on How to Identify Relevant Settings and Use Cases,” Journal of Medical Internet Research, vol. 25, 2023, doi: 10.2196/42187.

  20. Impacts of digital technologies on education and factors influencing schools

    S. Timotheou et al., “Impacts of digital technologies on education and factors influencing schools’ digital capacity and transformation: A literature review,” Education and Information Technologies, vol. 28, no. 6, pp. 6695–6726, 2023, doi: 10.1007/s10639-022-11431-8.

  21. Curriculum based Reinforcement Learning for traffic simulations

    S. Makri and P. Charalambous, “Curriculum based Reinforcement Learning for traffic simulations,” Computers and Graphics (Pergamon), vol. 113, pp. 32–42, 2023, doi: 10.1016/j.cag.2023.04.009.

  22. The effect of visually filled reproductions on the reproduced durations of auditory intervals

    M. N. Plastira and M. N. Avraamides, “The effect of visually filled reproductions on the reproduced durations of auditory intervals,” Attention, Perception, and Psychophysics, vol. 85, no. 6, pp. 2100–2110, 2023, doi: 10.3758/s13414-023-02755-9.

  23. Examining the potential of mobile applications to assist people to escape wildfires in real-time

    A. Kamilaris, J. B. Filippi, C. Padubidri, R. Koole, and S. Karatsiolis, “Examining the potential of mobile applications to assist people to escape wildfires in real-time,” Fire Safety Journal, vol. 136, 2023, doi: 10.1016/j.firesaf.2023.103747.

  24. SparsePoser: Real-time Full-body Motion Reconstruction from Sparse Data

    J. L. Ponton, H. Yun, A. Aristidou, C. Andujar, and N. Pelechano, “SparsePoser: Real-time Full-body Motion Reconstruction from Sparse Data,” ACM Transactions on Graphics, vol. 43, no. 1, 2023, doi: 10.1145/3625264.

  25. GREIL-Crowds: Crowd Simulation with Deep Reinforcement Learning and Examples

    P. Charalambous, J. Pettre, V. Vassiliades, Y. Chrysanthou, and N. Pelechano, “GREIL-Crowds: Crowd Simulation with Deep Reinforcement Learning and Examples,” ACM Transactions on Graphics, vol. 42, no. 4, 2023, doi: 10.1145/3592459.

  26. Cross-Shape Attention for Part Segmentation of 3D Point Clouds

    M. Loizou, S. Garg, D. Petrov, M. Averkiou, and E. Kalogerakis, “Cross-Shape Attention for Part Segmentation of 3D Point Clouds,” Computer Graphics Forum, vol. 42, no. 5, 2023, doi: 10.1111/cgf.14909.

  27. Enhancing Localization Performance with Extended Funneling Vibrotactile Feedback

    K. Apostolou, F. Škola, and F. Liarokapis, “Enhancing Localization Performance with Extended Funneling Vibrotactile Feedback,” Multimodal Technologies and Interaction, vol. 7, no. 12, 2023, doi: 10.3390/mti7120114.

  28. A Novel Deep Hierarchical Machine Learning Approach for Identification of Known and Unknown Multiple Security Attacks in a D2D Communications Network

    S. V. J. Rani et al., “A Novel Deep Hierarchical Machine Learning Approach for Identification of Known and Unknown Multiple Security Attacks in a D2D Communications Network,” IEEE Access, vol. 11, pp. 95161–95194, 2023, doi: 10.1109/ACCESS.2023.3308036.

  29. Participatory design and evaluation of virtual reality physical rehabilitation for people living with dementia

    M. Matsangidou et al., “Participatory design and evaluation of virtual reality physical rehabilitation for people living with dementia,” Virtual Reality, vol. 27, no. 1, pp. 421–438, 2023, doi: 10.1007/s10055-022-00639-1.

  30. Detection of DDoS attacks in D2D communications using machine learning approach

    S. V. J. Rani et al., “Detection of DDoS attacks in D2D communications using machine learning approach,” Computer Communications, vol. 198, pp. 32–51, 2023, doi: 10.1016/j.comcom.2022.11.013.

  31. Investigating the relationship between spatial skills and web mapping application performance among university students

    E. Tomai et al., “Investigating the relationship between spatial skills and web mapping application performance among university students,” Cartography and Geographic Information Science, vol. 50, no. 5, pp. 515–530, 2023, doi: 10.1080/15230406.2023.2224584.

  32. Cartographic perspectives on spatial and thematic levels of detail in augmented reality: a review of existing approaches

    N. Anastopoulou et al., “Cartographic perspectives on spatial and thematic levels of detail in augmented reality: a review of existing approaches,” International Journal of Cartography, vol. 9, no. 2, pp. 373–391, 2023, doi: 10.1080/23729333.2023.2228592.

  33. The Ledra Palace Hotel and the ‘difficult history’ of modern Cyprus

    A. Heraclidou and T. Stylianou-Lambert, “The Ledra Palace Hotel and the ‘difficult history’ of modern Cyprus,” Byzantine and Modern Greek Studies, vol. 47, no. 1, pp. 103–122, 2023, doi: 10.1017/byz.2022.22.

  34. Content-Aware Network Traffic Prediction Framework for Quality of Service-Aware Dynamic Network Resource Management

    W. A. Aziz, I. I. Ioannou, M. Lestas, H. K. Qureshi, A. Iqbal, and V. Vassiliou, “Content-Aware Network Traffic Prediction Framework for Quality of Service-Aware Dynamic Network Resource Management,” IEEE Access, vol. 11, pp. 99716–99733, 2023, doi: 10.1109/ACCESS.2023.3309002.

  35. A Survey on Optimizing Mobile Delivery of 360° Videos: Edge Caching and Multicasting

    M. Mahmoud et al., “A Survey on Optimizing Mobile Delivery of 360° Videos: Edge Caching and Multicasting,” IEEE Access, vol. 11, pp. 68925–68942, 2023, doi: 10.1109/ACCESS.2023.3292335.

  36. Intelligent Beam Steering for Wireless Communication Using Programmable Metasurfaces

    N. Ashraf et al., “Intelligent Beam Steering for Wireless Communication Using Programmable Metasurfaces,” IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 5, pp. 4848–4861, 2023, doi: 10.1109/TITS.2023.3241214.

2022
  1. Enhancing the learning process of folk dances using augmented reality and non-invasive brain stimulation

    I. Kico and F. Liarokapis, “Enhancing the learning process of folk dances using augmented reality and non-invasive brain stimulation,” Entertainment Computing, vol. 40, 2022, doi: 10.1016/j.entcom.2021.100455.

  2. Argumentation: A calculus for Human-Centric AI

    E. Dietz, A. Kakas, and L. Michael, “Argumentation: A calculus for Human-Centric AI,” Frontiers in Artificial Intelligence, vol. 5, 2022, doi: 10.3389/frai.2022.955579.

  3. Pose Representations for Deep Skeletal Animation

    N. Andreou, A. Aristidou, and Y. Chrysanthou, “Pose Representations for Deep Skeletal Animation,” Computer Graphics Forum, vol. 41, no. 8, pp. 155–167, 2022, doi: 10.1111/cgf.14632.

  4. Assessing Human Motion during Exercise Using Machine Learning: A Literature Review

    F. Frangoudes, M. Matsangidou, E. C. Schiza, K. Neokleous, and C. S. Pattichis, “Assessing Human Motion during Exercise Using Machine Learning: A Literature Review,” IEEE Access, vol. 10, pp. 86874–86903, 2022, doi: 10.1109/ACCESS.2022.3198935.

  5. The role of memory and perspective shifts in systematic biases during object location estimation

    V. Segen, G. Colombo, M. Avraamides, T. Slattery, and J. M. Wiener, “The role of memory and perspective shifts in systematic biases during object location estimation,” Attention, Perception, and Psychophysics, vol. 84, no. 4, pp. 1208–1219, 2022, doi: 10.3758/s13414-022-02445-y.

  6. Arousing a wide range of emotions within educational virtual reality simulation about major depressive disorder affects knowledge retention

    C. Hadjipanayi and D. Michael-Grigoriou, “Arousing a wide range of emotions within educational virtual reality simulation about major depressive disorder affects knowledge retention,” Virtual Reality, vol. 26, no. 1, pp. 343–359, 2022, doi: 10.1007/s10055-021-00568-5.

  7. Athletic Performance in Immersive Virtual Reality: the Effect of Training Intensity

    A. Shimi, A. Papantoniou, K. Neokleous, and M. N. Avraamides, “Athletic Performance in Immersive Virtual Reality: the Effect of Training Intensity,” European Journal of Psychology Open, vol. 81, no. 1, pp. 24–33, 2022, doi: 10.1024/2673-8627/a000021.

  8. A Node Placement Algorithm Utilizing Mobile Nodes in WSN and IoT Networks †

    N. Temene, C. Sergiou, C. Ioannou, C. Georgiou, and V. Vassiliou, “A Node Placement Algorithm Utilizing Mobile Nodes in WSN and IoT Networks †,” Telecom, vol. 3, no. 1, pp. 17–51, 2022, doi: 10.3390/telecom3010002.

  9. he Design of a Postgraduate Vocational Training Programme to Enhance Engineering Graduates’ Problem-Solving Skills Through PBL

    O. Miliou et al., “The Design of a Postgraduate Vocational Training Programme to Enhance Engineering Graduates’ Problem-Solving Skills Through PBL,” International Journal of Engineering Education, vol. 38, no. 5 A, pp. 1257–1273, 2022, doi: 10.5281/zenodo.7589566.

  10. Joint Radio Resource Allocation and Beamforming Optimization for Industrial Internet of Things in Software-Defined Networking-Based Virtual Fog-Radio Access Network 5G-and-Beyond Wireless Environments

    P. Rahimi, C. Chrysostomou, H. Pervaiz, V. Vassiliou, and Q. Ni, “Joint Radio Resource Allocation and Beamforming Optimization for Industrial Internet of Things in Software-Defined Networking-Based Virtual Fog-Radio Access Network 5G-and-Beyond Wireless Environments,” IEEE Transactions on Industrial Informatics, vol. 18, no. 6, pp. 4198–4209, 2022, doi: 10.1109/TII.2021.3126813.

  11. Age-related changes in visual encoding strategy preferences during a spatial memory task

    V. Segen, M. N. Avraamides, T. J. Slattery, and J. M. Wiener, “Age-related changes in visual encoding strategy preferences during a spatial memory task,” Psychological Research, vol. 86, no. 2, pp. 404–420, 2022, doi: 10.1007/s00426-021-01495-5.

  12. Utilizing Co-Creative Principles to Develop an E-Learning Platform for Interprofessional Training on Tinnitus: The Erasmus+ Project Tin-TRAC

    E. Paraskevopoulos et al., “Utilizing Co-Creative Principles to Develop an E-Learning Platform for Interprofessional Training on Tinnitus: The Erasmus+ Project Tin-TRAC,” International Journal of Environmental Research and Public Health, vol. 19, no. 14, 2022, doi: 10.3390/ijerph19148323.

  13. he Iterative Development of an Online Multiplayer Escape Room Game for Improving Social Interaction through Edutainment

    A. Najm, M. Christofi, C. Hadjipanayi, C. Kyrlitsias, and D. Michael-Grigoriou, “The Iterative Development of an Online Multiplayer Escape Room Game for Improving Social Interaction through Edutainment,” Journal of WSCG, vol. 2022, pp. 56–65, 2022, doi: 10.24132/CSRN.3201.8.

  14. Digitizing Wildlife: The Case of a Reptile 3-D Virtual Museum

    S. Zotos et al., “Digitizing Wildlife: The Case of a Reptile 3-D Virtual Museum,” IEEE Computer Graphics and Applications, vol. 42, no. 5, pp. 51–65, 2022, doi: 10.1109/MCG.2022.3189034.

  15. Grape Leaf Diseases Identification System Using Convolutional Neural Networks and LoRa Technology

    Z. Zinonos, S. Gkelios, A. F. Khalifeh, D. G. Hadjimitsis, Y. S. Boutalis, and S. A. Chatzichristofis, “Grape Leaf Diseases Identification System Using Convolutional Neural Networks and LoRa Technology,” IEEE Access, vol. 10, pp. 122–133, 2022, doi: 10.1109/ACCESS.2021.3138050.

  16. A Systematic Approach for Developing a Robust Artwork Recognition Framework Using Smartphone Cameras

    Z. Theodosiou, M. Thoma, H. Partaourides, and A. Lanitis, “A Systematic Approach for Developing a Robust Artwork Recognition Framework Using Smartphone Cameras,” Algorithms, vol. 15, no. 9, 2022, doi: 10.3390/a15090305.

  17. Perception of fairness in algorithmic decisions: Future developers’ perspective

    S. Kleanthous, M. Kasinidou, P. Barlas, and J. Otterbacher, “Perception of fairness in algorithmic decisions: Future developers’ perspective,” Patterns, vol. 3, no. 1, 2022, doi: 10.1016/j.patter.2021.100380.

  18. Free Flaps in Sternal Osteomyelitis after Median Sternotomy: A Center’s 12-Year Experience

    I. Georgiou et al., “Free Flaps in Sternal Osteomyelitis after Median Sternotomy: A Center’s 12-Year Experience,” Journal of Reconstructive Microsurgery, vol. 39, no. 8, pp. 601–615, 2022, doi: 10.1055/s-0043-1761208.

  19. Dynamic D2D Communication in 5G/6G Using a Distributed AI Framework

    I. I. Ioannou, C. Christophorou, V. Vassiliou, M. Lestas, and A. Pitsillides, “Dynamic D2D Communication in 5G/6G Using a Distributed AI Framework,” IEEE Access, vol. 10, pp. 62772–62799, 2022, doi: 10.1109/ACCESS.2022.3182388.

  20. Bring me sunshine, bring me (physical) strength’: The case of dementia. Designing and implementing a virtual reality system for physical training during the COVID-19 pandemic

    M. Matsangidou et al., “‘Bring me sunshine, bring me (physical) strength’: The case of dementia. Designing and implementing a virtual reality system for physical training during the COVID-19 pandemic,” International Journal of Human Computer Studies, vol. 165, 2022, doi: 10.1016/j.ijhcs.2022.102840.

  21. Evaluating the Impact of the Curriculum Structure on Group Metacognition During Collaborative Problem-solving Using Educational Robotics

    C. Socratous and A. Ioannou, “Evaluating the Impact of the Curriculum Structure on Group Metacognition During Collaborative Problem-solving Using Educational Robotics,” TechTrends, vol. 66, no. 5, pp. 771–783, 2022, doi: 10.1007/s11528-022-00738-5.

  22. Authoring Virtual Crowds: A Survey

    M. Lemonari et al., “Authoring Virtual Crowds: A Survey,” Computer Graphics Forum, vol. 41, no. 2, pp. 677–701, 2022, doi: 10.1111/cgf.14506.

  23. A novel Distributed AI framework with ML for D2D communication in 5G/6G networks

    I. Ioannou, C. Christophorou, V. Vassiliou, and A. Pitsillides, “A novel Distributed AI framework with ML for D2D communication in 5G/6G networks,” Computer Networks, vol. 211, 2022, doi: 10.1016/j.comnet.2022.108987.

  24. Exploiting Digital Surface Models for Inferring Super-Resolution for Remotely Sensed Images

    S. Karatsiolis, C. Padubidri, and A. Kamilaris, “Exploiting Digital Surface Models for Inferring Super-Resolution for Remotely Sensed Images,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, 2022, doi: 10.1109/TGRS.2022.3209340.

  25. Deep reinforcement learning for improving competitive cycling performance

    G. Demosthenous, M. Kyriakou, and V. Vassiliades, “Deep reinforcement learning for improving competitive cycling performance,” Expert Systems with Applications, vol. 203, 2022, doi: 10.1016/j.eswa.2022.117311.

  26. A security protocol for D2D communications in 5G networks using elliptic curve cryptography

    R. Kishore et al., “A security protocol for D2D communications in 5G networks using elliptic curve cryptography,” International Journal of Information Security, vol. 21, no. 6, pp. 1389–1408, 2022, doi: 10.1007/s10207-022-00620-8.

  27. A distributed AI/ML framework for D2D Transmission Mode Selection in 5G and beyond

    I. Ioannou, C. Christophorou, V. Vassiliou, and A. Pitsillides, “A distributed AI/ML framework for D2D Transmission Mode Selection in 5G and beyond,” Computer Networks, vol. 210, 2022, doi: 10.1016/j.comnet.2022.108964.

2021
  1. Structured or unstructured educational robotics curriculum? A study of debugging in block-based programming

    C. Socratous and A. Ioannou, “Structured or unstructured educational robotics curriculum? A study of debugging in block-based programming,” Educational Technology Research and Development, vol. 69, no. 6, pp. 3081–3100, 2021, doi: 10.1007/s11423-021-10056-x.

  2. An experimental characterization of workers

    E. Christoforou, A. F. Anta, and A. Sanchez, “An experimental characterization of workers’ behavior and accuracy in crowdsourced tasks,” PLoS ONE, vol. 16, no. 6 June, 2021, doi: 10.1371/journal.pone.0252604.

  3. Tracking the loving gaze

    T. Stylianou-Lambert and O. Panayides, “Tracking the loving gaze,” Leonardo, vol. 54, no. 5, pp. 493–499, 2021, doi: 10.1162/leon_a_02010.

  4. Firmware update using multiple gateways in lorawan networks

    C. Charilaou, S. Lavdas, A. Khalifeh, V. Vassiliou, and Z. Zinonos, “Firmware update using multiple gateways in lorawan networks,” Sensors, vol. 21, no. 19, 2021, doi: 10.3390/s21196488.

  5. Do you see what I see? Images of the COVID-19 pandemic through the lens of Google

    M. L. Paramita, K. Orphanou, E. Christoforou, J. Otterbacher, and F. Hopfgartner, “Do you see what I see? Images of the COVID-19 pandemic through the lens of Google,” Information Processing and Management, vol. 58, no. 5, 2021, doi: 10.1016/j.ipm.2021.102654.

  6. Color harmonization, deharmonization and balancing in augmented reality

    E. Marino, F. Bruno, and F. Liarokapis, “Color harmonization, deharmonization and balancing in augmented reality,” Applied Sciences (Switzerland), vol. 11, no. 9, 2021, doi: 10.3390/app11093915.

  7. Using UE-VBS for dynamic virtual small cells deployment and backhauling in 5G Ultra-Dense networks

    K. Venkateswararao, P. Swain, C. Christophorou, and A. Pitsillides, “Using UE-VBS for dynamic virtual small cells deployment and backhauling in 5G Ultra-Dense networks,” Computer Networks, vol. 189, 2021, doi: 10.1016/j.comnet.2021.107926.

  8. Learning experience design with immersive virtual reality in physics education

    Y. Georgiou, O. Tsivitanidou, and A. Ioannou, “Learning experience design with immersive virtual reality in physics education,” Educational Technology Research and Development, vol. 69, no. 6, pp. 3051–3080, 2021, doi: 10.1007/s11423-021-10055-y.

  9. A Framework for Objective Evaluation of Single Image De-Hazing Techniques

    A. Artusi and K. A. Raftopoulos, “A Framework for Objective Evaluation of Single Image De-Hazing Techniques,” IEEE Access, vol. 9, pp. 76564–76575, 2021, doi: 10.1109/ACCESS.2021.3082207.

  10. Learning and innovation skills in making contexts: a comprehensive analytical framework and coding scheme

    S. Timotheou and A. Ioannou, “Learning and innovation skills in making contexts: a comprehensive analytical framework and coding scheme,” Educational Technology Research and Development, vol. 69, no. 6, pp. 3179–3207, 2021, doi: 10.1007/s11423-021-10067-8.

  11. A Learning Experience in Inquiry-Based Physics with Immersive Virtual Reality: Student Perceptions and an Interaction Effect Between Conceptual Gains and Attitudinal Profiles

    O. E. Tsivitanidou, Y. Georgiou, and A. Ioannou, “A Learning Experience in Inquiry-Based Physics with Immersive Virtual Reality: Student Perceptions and an Interaction Effect Between Conceptual Gains and Attitudinal Profiles,” Journal of Science Education and Technology, vol. 30, no. 6, pp. 841–861, 2021, doi: 10.1007/s10956-021-09924-1.

  12. Background-Aware Colorization Technique for Augmented Reality Applications

    E. Marino, F. Bruno, L. Barbieri, M. Muzzupappa, and F. Liarokapis, “Background-Aware Colorization Technique for Augmented Reality Applications,” IEEE Access, vol. 9, pp. 161761–161772, 2021, doi: 10.1109/ACCESS.2021.3129076.

  13. Comparable performance on a spatial memory task in data collected in the lab and online

    V. Segen, M. Avraamides, T. Slattery, G. Colombo, and J. M. Wiener, “Comparable performance on a spatial memory task in data collected in the lab and online,” PLoS ONE, vol. 16, no. 11 November, 2021, doi: 10.1371/journal.pone.0259367.

  14. Attentional skills in soccer: Evaluating the involvement of attention in executing a goalkeeping task in virtual reality

    A. Shimi, V. Tsestou, M. Hadjiaros, K. Neokleous, and M. Avraamides, “Attentional skills in soccer: Evaluating the involvement of attention in executing a goalkeeping task in virtual reality,” Applied Sciences (Switzerland), vol. 11, no. 19, 2021, doi: 10.3390/app11199341.

  15. Music Tempo and Perception of Time: Musically Trained vs Nontrained Individuals

    M. N. Plastira and M. N. Avraamides, “Music Tempo and Perception of Time: Musically Trained vs Nontrained Individuals,” Timing and Time Perception, vol. 10, no. 2, pp. 142–157, 2021, doi: 10.1163/22134468-bja10042.

  16. Experience and prediction: a metric of hardness for a novel litmus test

    N. Isaak and L. Michael, “Experience and prediction: a metric of hardness for a novel litmus test,” Journal of Logic and Computation, vol. 31, no. 8, pp. 2028–2056, 2021, doi: 10.1093/logcom/exab005.

  17. Deep neural networks to detectweeds from crops in agricultural environments in real-time: A review

    I. Rakhmatuiln, A. Kamilaris, and C. Andreasen, “Deep neural networks to detectweeds from crops in agricultural environments in real-time: A review,” Remote Sensing, vol. 13, no. 21, 2021, doi: 10.3390/rs13214486.

  18. Network attack classification in iot using support vector machines

    C. Ioannou and V. Vassiliou, “Network attack classification in iot using support vector machines,” Journal of Sensor and Actuator Networks, vol. 10, no. 3, 2021, doi: 10.3390/jsan10030058.

  19. Perspective taking and systematic biases in object location memory

    V. Segen, G. Colombo, M. Avraamides, T. Slattery, and J. M. Wiener, “Perspective taking and systematic biases in object location memory,” Attention, Perception, and Psychophysics, vol. 83, no. 5, pp. 2033–2051, 2021, doi: 10.3758/s13414-021-02243-y.

  20. Counting sea lions and elephants from aerial photography using deep learning with density maps

    C. Padubidri, A. Kamilaris, S. Karatsiolis, and J. Kamminga, “Counting sea lions and elephants from aerial photography using deep learning with density maps,” Animal Biotelemetry, vol. 9, no. 1, 2021, doi: 10.1186/s40317-021-00247-x.

  21. A new paradigm for estimating the prevalence of plastic litter in the marine environment

    K. Kylili, A. Artusi, and C. Hadjistassou, “A new paradigm for estimating the prevalence of plastic litter in the marine environment,” Marine Pollution Bulletin, vol. 173, 2021, doi: 10.1016/j.marpolbul.2021.113127.

  22. DNS Tunneling Detection by Cache-Property-Aware Features

    N. Ishikura, D. Kondo, V. Vassiliades, I. Iordanov, and H. Tode, “DNS Tunneling Detection by Cache-Property-Aware Features,” IEEE Transactions on Network and Service Management, vol. 18, no. 2, pp. 1203–1217, 2021, doi: 10.1109/TNSM.2021.3078428.

  23. Alignment effects in spatial perspective taking from an external vantage point

    A. Hatzipanayioti and M. N. Avraamides, “Alignment effects in spatial perspective taking from an external vantage point,” Brain Sciences, vol. 11, no. 2, pp. 1–18, 2021, doi: 10.3390/brainsci11020204.

  24. Examining the perspectives of using manure from livestock farms as fertilizer to crop fields based on a realistic simulation

    A. Kamilaris and F. X. Prenafeta-Boldú, “Examining the perspectives of using manure from livestock farms as fertilizer to crop fields based on a realistic simulation,” Computers and Electronics in Agriculture, vol. 191, 2021, doi: 10.1016/j.compag.2021.106486.

  25. “Article img2ndsm: Height estimation from single airborne rgb images with deep learning

    S. Karatsiolis, A. Kamilaris, and I. Cole, “Article img2ndsm: Height estimation from single airborne rgb images with deep learning,” Remote Sensing, vol. 13, no. 12, 2021, doi: 10.3390/rs13122417.

  26. The impact of spectral variation on the thermodynamic limits to photovoltaic energy conversion

    P. J. M. Isherwood, I. R. Cole, A. Smith, and T. R. Betts, “The impact of spectral variation on the thermodynamic limits to photovoltaic energy conversion,” Solar Energy, vol. 221, pp. 131–139, 2021, doi: 10.1016/j.solener.2021.04.037.

  27. Study of Full-body Virtual Embodiment Using noninvasive Brain Stimulation and Imaging

    F. Škola and F. Liarokapis, “Study of Full-body Virtual Embodiment Using noninvasive Brain Stimulation and Imaging,” International Journal of Human-Computer Interaction, vol. 37, no. 12, pp. 1116–1129, 2021, doi: 10.1080/10447318.2020.1870827.

  28. Exploring tilting methods for typing under water

    J. Čejka, J. Chmelík, and F. Liarokapis, “Exploring tilting methods for typing under water,” Multimedia Tools and Applications, vol. 80, no. 20, pp. 31085–31103, 2021, doi: 10.1007/s11042-020-09305-7.

2020
  1. Are spatial memories for familiar environments orientation dependent?

    A. Hatzipanayioti, A. Galati, M. Pagkratidou, and M. N. Avraamides, “Are spatial memories for familiar environments orientation dependent?,” Journal of Cognition, vol. 4, no. 1, 2020, doi: 10.5334/joc.147.

  2. A Virtual Tour of a Hardly Accessible Archaeological Site: The Effect of Immersive Virtual Reality on User Experience, Learning and Attitude Change

    C. Kyrlitsias, M. Christofi, D. Michael-Grigoriou, D. Banakou, and A. Ioannou, “A Virtual Tour of a Hardly Accessible Archaeological Site: The Effect of Immersive Virtual Reality on User Experience, Learning and Attitude Change,” Frontiers in Computer Science, vol. 2, 2020, doi: 10.3389/fcomp.2020.00023.

  3. Transfer of manure as fertilizer from livestock farms to crop fields: The case of Catalonia

    A. Kamilaris, A. Engelbrecht, A. Pitsillides, and F. X. Prenafeta-Boldú, “Transfer of manure as fertilizer from livestock farms to crop fields: The case of Catalonia,” Computers and Electronics in Agriculture, vol. 175, 2020, doi: 10.1016/j.compag.2020.105550.

  4. Citizen Science, K-12 science education and use of technology: A synthesis of empirical research

    O. E. Tsivitanidou and A. Ioannou, “Citizen Science, K-12 science education and use of technology: A synthesis of empirical research,” Journal of Science Communication, vol. 19, no. 4, pp. 1–22, 2020, doi: 10.22323/2.19040901.

  5. Comparison of 1.5 T and 3 T MRI hippocampus texture features in the assessment of Alzheimer’s disease

    S. Leandrou, D. Lamnisos, P. A. Kyriacou, S. Constanti, and C. S. Pattichis, “Comparison of 1.5 T and 3 T MRI hippocampus texture features in the assessment of Alzheimer’s disease,” Biomedical Signal Processing and Control, vol. 62, 2020, doi: 10.1016/j.bspc.2020.102098.

  6. On Simulating Neural Damage in Connectionist Networks

    O. Guest, A. Caso, and R. P. Cooper, “On Simulating Neural Damage in Connectionist Networks,” Computational Brain and Behavior, vol. 3, no. 3, pp. 289–321, 2020, doi: 10.1007/s42113-020-00081-z.

  7. Normal appearing brain white matter changes in relapsing multiple sclerosis: Texture image and classification analysis in serial MRI scans

    C. P. Loizou, M. Pantzaris, and C. S. Pattichis, “Normal appearing brain white matter changes in relapsing multiple sclerosis: Texture image and classification analysis in serial MRI scans,” Magnetic Resonance Imaging, vol. 73, pp. 192–202, 2020, doi: 10.1016/j.mri.2020.08.022.

  8. Virtual reality with 360-video storytelling in cultural heritage: Study of presence, engagement, and immersion

    F. Škola et al., “Virtual reality with 360-video storytelling in cultural heritage: Study of presence, engagement, and immersion,” Sensors (Switzerland), vol. 20, no. 20, pp. 1–17, 2020, doi: 10.3390/s20205851.

2025
  1. AI Advances in ICU with an Emphasis on Sepsis Prediction: An Overview

    C. Stylianides et al., “AI Advances in ICU with an Emphasis on Sepsis Prediction: An Overview,” Machine Learning and Knowledge Extraction, vol. 7, no. 1, 2025, doi: 10.3390/make7010006.

2024
  1. A Systematic Review of Quantitative MRI Brain Analysis Studies in Multiple Sclerosis Disease

    A. Nicolaou, C. P. Loizou, M. Pantzaris, and C. S. Pattichis, “A Systematic Review of Quantitative MRI Brain Analysis Studies in Multiple Sclerosis Disease,” IEEE Access, vol. 12, pp. 162359–162391, 2024, doi: 10.1109/ACCESS.2024.3489798.

2023
  1. A critical evaluation, challenges, and future perspectives of using artificial intelligence and emerging technologies in smart classrooms

    E. Dimitriadou and A. Lanitis, “A critical evaluation, challenges, and future perspectives of using artificial intelligence and emerging technologies in smart classrooms,” Smart Learning Environments, vol. 10, no. 1, 2023, doi: 10.1186/s40561-023-00231-3.

  2. A systematic review of application development in augmented reality navigation research

    K. Cheliotis et al., “A systematic review of application development in augmented reality navigation research,” Cartography and Geographic Information Science, vol. 50, no. 3, pp. 249–271, 2023, doi: 10.1080/15230406.2023.2194032.

2021
  1. Machine Learning in Pain Medicine: An Up-To-Date Systematic Review

    M. Matsangidou, A. Liampas, M. Pittara, C. S. Pattichi, and P. Zis, “Machine Learning in Pain Medicine: An Up-To-Date Systematic Review,” Pain and Therapy, vol. 10, no. 2, pp. 1067–1084, 2021, doi: 10.1007/s40122-021-00324-2.

2024
  1. AI/ML-aided capacity maximization strategies for URLLC in 5G/6G wireless systems: A survey

    R. B. Shaik, P. Nagaradjane, I. Ioannou, V. Sittakul, V. Vasiliou, and A. Pitsillides, “AI/ML-aided capacity maximization strategies for URLLC in 5G/6G wireless systems: A survey,” Computer Networks, vol. 249, 2024, doi: 10.1016/j.comnet.2024.110506.

2022
  1. A Survey on Mobility in Wireless Sensor Networks

    N. Temene, C. Sergiou, C. Georgiou, and V. Vassiliou, “A Survey on Mobility in Wireless Sensor Networks,” Ad Hoc Networks, vol. 125, 2022, doi: 10.1016/j.adhoc.2021.102726.