Από ΜΦ (πρώτο/η συγγραφέα) της Θεματικής Περιοχής 1

  1. Asimina Dimara, Christos-Nikolaos Anagnostopoulos, Stelios Krinidis, Dimitrios Tzovaras, Personalized thermal comfort modeling through genetic algorithm, Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, DOI: https://doi.org/10.1080/15567036.2021.1937404
  2. Asimina Dimara, Christos-Nikolaos Anagnostopoulos, Konstantinos Kotis, Stelios Krinidis, Dimitrios Tzovaras BEMS in the Era of Internet of Energy: A Review, IFIP International Conference on Artificial Intelligence Applications and Innovations, pp. 465-476.
  3. Asimina Dimara, Christos-Nikolaos Anagnostopoulos, Stelios Krinidis & Dimitrios Tzovaras Benchmarking of Regression Algorithms for Simulating the Building’s Energy, ,2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC), DOI: 10.1109/CCWC51732.202.9375935
  4. Korres, M. Eid, C. Anagnostopoulos Benchmark based selection of point cloud registration algorithms for Cultural Heritage 3D digitization, Proc. of IEEE International Conference on Metrology for Archaeology and Cultural Heritage, Milano, 20-22 October 2021
  5. Korres, C. Anagnostopoulos, M. Eid, A proposed framework for affordable CAM replication in Cultural Heritage, Proc. of IEEE International Conference on Metrology for Archaeology and Cultural Heritage, Milano, 20-22 October 2021.
  6. Dimara A., Anagnostopoulos CN., Kotis K., Krinidis S., Tzovaras D., BEMS in the Era of Internet of Energy: A Review, n: Maglogiannis I., Macintyre J., Iliadis L. (eds) Artificial Intelligence Applications and Innovations. AIAI 2021. IFIP Advances in Information and Communication Technology, vol 627. Springer, Cham DOI: 10.1007/978-3-030-79150-6_37
  7. Zachos, C.N. Anagnostopoulos, “Digital modelling, documentation and promotion of Panagia Ekatontapyliani Holy Church using Mixed Reality methodologies”, Proceedings of the 4th Pan-hellenic Conference of Digitization of Cultural Heritage – Euromed 2021.
  8. Francesk Mulita, Georgios-Ioannis Verras, Christos-Nikolaos Anagnostopoulos, Konstantinos Kotis, A smarter health through the internet of surgical things, Sensors 22 (12), 4577, DOI: https://doi.org/10.3390/s22124577
  9. Mulita, C.N. Anagnostopoulos, Deep Learning for Colon Cancer: Our Experience and a review of the literature”, Proceedings of British Association of Surgical Oncology Annual Conference, 2022, London.
  10. Orfeas Eleftheriou, Asimina Dimara, Konstantinos Kotis and Christos-Nikolaos Anagnostopoulos Saving Energy with Comfort: A Semantic Digital Twin approach for Smart Buildings, Third International Workshop on Semantic Digital Twins (SeDiT 2022), co-located with the 19th European Semantic Web Conference (ESWC 2022), Hersonissos, Greece – 29 May 2022,
  11. Orfeas Theodoros Eleftheriou, Christos-Nikolaos Anagnostopoulos, Digital twins: A brief overview of applications, challenges and enabling technologies in the last decade, Digital Twin 2(2), 2022 DOI:https://doi.org/10.12688 /digitaltwin.17581.1
  12. Orfeas-Theodoros Eleftheriou, Radostin Mitkov, Vassilis Naserentin, Christos-Nikolaos Anagnostopoulos Computational Fluid Dynamics Simulation on cultural heritage sites: The case of the Medieval Castle of Mytilene, Proceedings of Digital Cultural Heritage Documentation, Preservation and Protection Conference 2022, November 2022, Limassol, Cyprus
  13. Koutros, E., Anagnostopoulos, CN. A Review of Heritage Building Information Modelling: Classification of HBIM through the Utilization of Different Dimensions (3D to 7D). In: Moropoulou, A., Georgopoulos, A., Ioannides, M., Doulamis, A., Lampropoulos, K., Ronchi, A. (eds) Transdisciplinary Multispectral Modeling and Cooperation for the Preservation of Cultural Heritage. TMM_CH 2023. Communications in Computer and Information Science, vol 1889. Springer, Cham, 2023, https://doi.org/10.1007/978-3-031-42300-0_25
  14. Tzouvaras, C. et al. (2023). A Guide to Visual Comfort: An Overview of Indices and Its Applications. In: Maglogiannis, I., Iliadis, L., Papaleonidas, A., Chochliouros, I. (eds) Artificial Intelligence Applications and Innovations. AIAI 2023 IFIP WG 12.5 International Workshops. AIAI 2023. IFIP Advances in Information and Communication Technology, vol 677. Springer, Cham. https://doi.org/10.1007/978-3-031-34171-7_14
  15. Tzouvaras, C. et al. (2023). Semantic Interoperability for Managing EnergyEfficiency and IEQ: A Short Review. In: Maglogiannis, I., Iliadis, L., Papaleonidas, A., Chochliouros, I. (eds) Artificial Intelligence Applications and Innovations. AIAI 2023 IFIP WG 12.5 International Workshops. AIAI 2023. IFIP Advances in Information and Communication Technology, vol 677. Springer, Cham. https://doi.org/10.1007/978-3-031-34171-7_19
  16. Tzitziou, G. Tzouvaras C. et al. (2023). Realtime Multi-factor Dynamic Thermal Comfort Estimation for Indoor Environments. In: Maglogiannis, I., Iliadis, L., Papaleonidas, A., Chochliouros, I. (eds) Artificial Intelligence Applications and Innovations. AIAI 2023 IFIP WG 12.5 International Workshops. AIAI 2023. IFIP Advances in Information and Communication Technology, vol 677. Springer, Cham. https://doi.org/10.1007/978-3-031-34171-7_17
  17. Tzitziou, G., Tzouvaras, C., Dimara, A., Papaioannou, A., Krinidis, S., Arvanitis, K., Anagnostopoulos, C., Ioannidis, D., Tzovaras, D. Real-time multi-factor thermal comfort assessment [not peer reviewed]. Peeref 2023 (poster). https://doi.org/10.54985/peeref.2304p8708798
  18. Tzouvaras, C.; Dimara, A.; Papaioannou, A.; Anagnostopoulos, C.-N.; Krinidis, S.; Arvanitis, K.; Ioannidis, D.; Tzovaras, D. A Novel Dynamic Approach for Determining Real-Time Interior Visual Comfort Exploiting Machine Learning Techniques. Appl. Sci. 2023, 13, 6975. https://doi.org/10.3390/app13126975
  19. Admir Mulita, Christos Nikolaos Anagnostopoulos, Francensk Mulita, “The role of Artificial Intelligence and Image Processing in the Diagnosis, Treatment and Prognosis of Liver Cancer”, Gastroenterology Review (accepted), 2024.
  20. Dimitrios Sidiropoulos, Christos-Nikolaos Anagnostopoulos, “Applications, challenges and early assessment of AI and ChatGPT in education”, Workshop on Breaking Barriers with Generative Intelligence (BBGI), 20th International Conference on Intelligent Tutoring Systems, 2024.

  21. Myrto Stogia, Vasilis Naserentin, Asimina Dimara, Orfeas Eleftheriou, Ioannis Tzitzios, Christoforos Papaioannou, Mariya Pantusheva, Alexios Papaioannou, George Spaias, Christos-Nikolaos Anagnostopoulos, Anders Logg, Stelios Krinidis, A Scalable and User-Friendly Framework Integrating IoT and Digital Twins for Home Energy Management Systems, Applied Sciences, vol. 14, no. 24

  22. A Mulita, F Mulita, GI Verras, K Kotis, CN Anagnostopoulos, Using Deep Learning to Predict
    Head-Neck and Lung Cancer Treatment Response from Serial Medical Imaging, European
    Journal of Surgical Oncology vol. 50, 2024.

  23. F Mulita, C
    Apostoloumi, A Mulita, GI Verras, M Pitiakoudis, K Kotis, C.N. Anagnostopoulos,
    The use of artificial intelligence in surgical oncology simulation, European
    Journal of Surgical Oncology 51, 2024.

Από ΜΦ (πρώτο/η συγγραφέα) της Θεματικής Περιοχής 2

  1. E Mavrikos, N Melissaris, G Tsekouras, A Hybrid Clustering-Based Approach to Color Modification of Art Paintings for Protanopes and Deuteranopes Cloud Computing and Data Science, 13-38,
  2. K Sikelis, GE Tsekouras, ITM Feature Selection with a Backtracking Search Optimization Algorithm, Web of Conferences 43, 01018, 2022
  3. Melissaris, G. E. Tsekouras, S. Chatzistamatis, J. Tsimikas, A Legendre polynomial neural network and its application in predicting data center temperature, In the Proceedings of the 29th IEEE International Conference on Software, Telecommunications, and Computer Networks (SoftCom 21).
  4. K Sikelis, GE Tsekouras, K Kotis, Ontology-based feature selection: A survey, Future Internet 13 (6), 158, 2021.
  5. Konstantinos Filippou, George Aifantis, Emmanouil Mavrikos, G Tsekouras, Deep feedforward neural network classifier with polynomial layer and shared weights Proceedings of the 4th International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI 2022), Corfu, Greece.
  6. Filippou, K.; Aifantis, G.; Papakostas, G.A.; Tsekouras, G.E. Structure Learning and Hyperparameter Optimization Using an Automated Machine Learning (AutoML) Pipeline. Information 2023, 14, 232. https://doi.org/10.3390/info14040232
  7. Eftichia Angeli, Christos Cholevas, Emmanouil Mavrikos, Stamatis Chatzistamatis, George E Tsekouras, Computational Creativity Under the Framework of Recoloring Art Paintings for Color-Blindness, 2023 14th International Conference on Information, Intelligence, Systems & Applications (IISA), pp. 1-6, IEEE.
  8. C Cholevas, E Angeli, Z Sereti, E Mavrikos, GE Tsekouras, Anomaly Detection in Blockchain Networks Using Unsupervised Learning: A Survey, Algorithms 17 (5), 201.

  9. S Bentos, E
    Bailis, F Oikonomou, S Spirou, E Mavrikos, S Chatzistamatis, G. Tsekouras, Evaluation
    of Fairness in Machine Learning-Based Recidivism Predictions: the Case of Greek
    Female Prison System, 2024 4th International Conference on Innovative Research
    in Applied Science, 2024

Από ΜΦ (πρώτο/η συγγραφέα) της Θεματικής Περιοχής 3

  1. Antonios Ntagiantas, G. Caridakis, Augmented Reality children’s book for intangible cultural heritage through participatory content creation and promotion. Case study: the pastoral life of Psiloritis as a UNESCO World Geopark
  2. Zoi Karageorgiou, G. Caridakis, Smart escape rooms for cultural heritage: a systematic review, submitted to MDPI Heritage, 2021.
  3. A Ntagiantas, M Konstantakis, J Aliprantis, D Manousos, L Koumakis, An Augmented Reality Children’s Book Edutainment through Participatory Content Creation and Promotion Based on the Pastoral Life of Psiloritis Applied Sciences 12 (3), 1339.
  4. Georgios Roussos, John Aliprantis, Georgios Alexandridis, George Caridakis, “Augmented Reality in Primary Education: Adopting the new normal in learning by easily using AR-based applications”, PCI2022 26th Pan-Hellenic Conference on Informatics with International Participation, 25 – 27 November 2022, Athens, Greece
  5. V Ballas, K Michalakis, G Alexandridis, G Caridakis, Automating Mobile App Review User Feedback with Aspect-Based Sentiment Analysis, International Conference on Human-Computer Interaction, 179-193

  6. Nikos
    Fragakis, Georgios Trichopoulos, George Caridakis, Embodied and Intelligent
    Approaches to Cultural Information Retrieval, 2024 19th International Workshop
    on Semantic and Social Media Adaptation & Personalization (SMAP), pp. 78-181,
    IEEE

Από ΜΦ (πρώτο/η συγγραφέα) της Θεματικής Περιοχής 4

  1. Zachila K., Kotis K., Dimara A., et al., “Semantic modeling of trustworthy IoT entities in energy-efficient cultural spaces”, 17th International Conference on Artificial Intelligence Applications and Innovations (AIAI 2021), Crete, Springer, 2021
  2. Kotis, K., Zachila, K. and Paparidis, E. “Machine Learning Meets the Semantic Web”, Artificial Intelligence Advances, vol. 3, issue 1, 2021.
  3. Stavros Stavrinos, Konstantinos Kotis, Christos Kalloniatis, Towards Semantic Modeling and Simulation of Cybersecurity on the Internet of Underwater Things, ,18th International Conference on Artificial Intelligence Applications and Innovations (AIAI 2022).
  4. Andreas Soularidis and Konstantinos Kotis, Semantic modeling and reconstruction of drones’ trajectories, ,19th European Semantic Web Conference (ESWC 2022), Hersonissos, Greece – 29 May 2022
  5. E Paparidis, K Kotis, Towards Engineering Fair Ontologies: Unbiasing a Surveillance Ontology, IEEE International Conference on Progress in Informatics and Computing (PIC-2021)
  6. K Zachila, K Kotis, E Paparidis, S Ladikou, D Spiliotopoulos, Facilitating Semantic Interoperability of Trustworthy IoT Entities in Cultural Spaces: The Smart Museum Ontology, Internet of Things 2 (4), 741-760
  7. Kotis, K., K. Zachila, and E. Paparidis, Machine Learning Meets the Semantic Web, Artificial Intelligence Advances, vol. 3, issue 1, 2021., DOI:10.30564/aia.v3i1. 3178
  8. Kotis, K.; Stavrinos, S.; Kalloniatis, C. Review on Semantic Modeling and Simulation of Cybersecurity and Interoperability on the Internet of Underwater Things. Future Internet 2023, 15, 11. https://doi.org/10.3390/fi15010011
  9. Kotis, K.; Soularidis, A. ReconTraj4Drones: A Framework for the Reconstruction and Semantic Modeling of UAVs’ Trajectories on MovingPandas. Sci. 2023, 13, 670. https://doi.org/10.3390/app13010670
  10. Kotis, K.; Soularidis, A. ReconTraj4Drones: A Framework for the reconstruction and Semantic Modeling of UAVs’ Trajectories on MovingPandas. Appl. Sci. 2023, 13, 670. https://doi.org/10.3390/app13010670
  11. Koletis, A.; Bitilis, P.; Zafeiropoulos, N.; Kotis, K. Can Semantics Uncover Hidden Relations between Neurodegenerative Diseases and Artistic Behaviors? Appl. Sci. 2023, 13, 4287. https://doi.org/10.3390/app13074287.
  12. Pavlos Bitilis, Nikolaos Zafeiropoulos, Adam Koletis, Konstantinos Kotis Uncovering the semantics of PD patients’ movement data collected via off-the-shelf wearables, The 14th International Conference on Information, Intelligence, Systems and Applications (IISA), Volos, 2023.
  13. Alexandros Karakikes, Panagiotis Alexiadis, Theocharis Theocharopoulos, Nikolaos Skoulidas, Konstantinos Kotis, Understanding bias in Twitter-based intelligence analysis, 2023 14th International Conference on Information, Intelligence, Systems & Applications (IISA), pp. 1-4, IEEE
  14. Karakikes, P. Alexiadis, T. Theocharopoulos, N. Skoulidas, D. Spiliotopoulos and K. Kotis, “Towards Handling Bias in Intelligence Analysis with Twitter,” 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA), Thessaloniki, Greece, 2023, pp. 1-10, doi: 10.1109/DSAA60987.2023.10302618.
  15. Nikolaos Zafeiropoulos, Pavlos Bitilis, Konstantinos Kotis, Wear4PDmove: an ontology for knowledge-based personalized health monitoring of PD patients, The 22nd International Semantic Web Conference (ISWC).
  16. Zafeiropoulos, N.; Bitilis, P.; Tsekouras, G.E.; Kotis, K. Graph Neural Networks for Parkinson’s Disease Monitoring and Alerting. Sensors 2023, 23, 8936. https://doi.org/10.3390/s23218936
  17. Zafeiropoulos, N.; Bitilis, P.; Tsekouras, G.E.; Kotis, K. Evaluating Ontology-Based PD Monitoring and Alerting in Personal Health Knowledge Graphs and Graph Neural Networks. Information 2024, 15, 100. https://doi.org/10.3390/info15020100.
  18. Doumanas D., Soularidis A., Kotis K., Vouros G., “Integrating LLMs in the enginnering of a SAR ontology”, 20th International Conference on Artificial Intelligence Applications and Innovations, AIAI 2024, Corfu 27 – 30 June 2024 (accepted for publication).
  19. A Karakikes, P Alexiadis, K Kotis, Bias in X (Twitter) and Telegram Based Intelligence Analysis: Exploring Challenges and Potential Mitigating Roles of AI, SN Computer Science 5 (5), 574.
  20.  Tania Litaina, Andreas Soularidis, Georgios Bouchouras, Konstantinos Kotis and Evangelia Kavakli, Towards LLM-based semantic analysis of historical legal documents, First International Workshop of Semantic Digital Humanities, co-located with ESWC 2024, Hersonissos, Crete, May, 2024.
  21. Georgios Bouchouras, Pavlos Bitilis, Konstantinos Kotis, and George A. Vouros, LLMs for the Engineering of a Parkinson Disease Monitoring and Alerting Ontology, First International Workshop on Generative Neuro-Symbolic AI, co-located with ESWC 2024, Hersonissos, Crete, May, 2024.

  22. D Doumanas, A Soularidis, D Spiliotopoulos, C Vassilakis, K Kotis, Fine-Tuning Large Language Models for Ontology Engineering: A Comparative Analysis of GPT-4 and Mistral, Applied Sciences 15 (4), 2146, 2025

  23. D Doumanas, A Soularidis, D Spiliotopoulos, C Vassilakis, K Kotis, Fine-Tuning Large Language Models for Ontology Engineering: A Comparative Analysis of GPT-4 and Mistral, Applied Sciences 15 (4), 2146, 2025

  24. G Bouchouras, G Sofianidis, K Kotis, Predicting Freezing of Gait in Parkinson’s
    Disease: A Machine Learning-Based Approach in ON and OFF Medication States, 2025

  25. G Bouchouras, G Sofianidis, K Kotis, Predicting Freezing of Gait in Parkinson’s
    Disease: A Machine Learning-Based Approach in ON and OFF Medication States, 2025

  26. G Bouchouras, G Sofianidis, K Kotis, Temporal Anomaly Detection in Attention-Deficit/Hyperactivity Disorder Using Recurrent Neural Networks, Cureus 16 (12)