Από ΜΦ (πρώτο/η συγγραφέα) της Θεματικής Περιοχής 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
- 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.
- 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
- 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
- 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.
- 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
- 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.
- 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
- 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.
- 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,
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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.
- 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.
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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
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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. -
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
- 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,
- K Sikelis, GE Tsekouras, ITM Feature Selection with a Backtracking Search Optimization Algorithm, Web of Conferences 43, 01018, 2022
- 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).
- K Sikelis, GE Tsekouras, K Kotis, Ontology-based feature selection: A survey, Future Internet 13 (6), 158, 2021.
- 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.
- 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
- 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.
- C Cholevas, E Angeli, Z Sereti, E Mavrikos, GE Tsekouras, Anomaly Detection in Blockchain Networks Using Unsupervised Learning: A Survey, Algorithms 17 (5), 201.
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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
- 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
- Zoi Karageorgiou, G. Caridakis, Smart escape rooms for cultural heritage: a systematic review, submitted to MDPI Heritage, 2021.
- 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.
- 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
- 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
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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
- 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
- Kotis, K., Zachila, K. and Paparidis, E. “Machine Learning Meets the Semantic Web”, Artificial Intelligence Advances, vol. 3, issue 1, 2021.
- 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).
- Andreas Soularidis and Konstantinos Kotis, Semantic modeling and reconstruction of drones’ trajectories, ,19th European Semantic Web Conference (ESWC 2022), Hersonissos, Greece – 29 May 2022
- E Paparidis, K Kotis, Towards Engineering Fair Ontologies: Unbiasing a Surveillance Ontology, IEEE International Conference on Progress in Informatics and Computing (PIC-2021)
- 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
- 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
- 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
- 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
- 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
- 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.
- 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.
- 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
- 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.
- 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).
- 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
- 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.
- 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).
- 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.
- 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.
- 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.
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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
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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
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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 -
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 -
G Bouchouras, G Sofianidis, K Kotis, Temporal Anomaly Detection in Attention-Deficit/Hyperactivity Disorder Using Recurrent Neural Networks, Cureus 16 (12)