School of Informatics AUTh
Mylonas, N., Karlos, S., & Tsoumakas, G. (2023). WeakMeSH: Leveraging provenance information for weakly supervised classification of biomedical articles with emerging MeSH descriptors. Artificial Intelligence in Medicine, 137, 102505. doi:10.1016/j.artmed.2023.102505
N. Mylonas, I. Mollas and G. Tsoumakas, "Beyond Annual Revisions: A Multi-Label Concept Drift Analysis of MeSH", 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), L'Aquila, Italy, 2023, pp. 157-162, doi: 10.1109/CBMS58004.2023.00209.
Samaras, A., Bekiaridou, A., Papazoglou, A., Moysidis, D., Tsoumakas, G., Bamidis, P., Tsigkas, G, Lazaros, G., Kassimis, G., Fragakia, N., Vassilikos, V., Zarifis, I., Tziakas, D., Tsioufis, K., Davlouros, P., Giannakoulas, G. (2023) Artificial Intelligence-based Mining of Electronic Health Record Data to Accelerate the Digital Transformation of the National Cardiovascular Ecosystem: Design Protocol of the CardioMining study. BMJ Open.
Nikos Tsolakis, Christoniki Maga-Nteve, Georgios Meditskos, Stefanos Vrochidis, Ioannis Kompatsiaris, “Ince-PD model for Parkinson’s Disease Prediction using MDS-UPDRS I & II and PDQ-8 Score”, 19th International Conference on Artificial Intelligence Applications and Innovations (AIAI), 2023
Nikos Tsolakis, Nikolaos Vryzas, Charalampos Dimoulas, Christoniki Maga-Nteve, Georgios Meditskos, Stefanos Vrochidis, “An Ontology-based Framework for Sports Media Data Interpretation”, 14th International Conference on Information, Intelligence, Systems and Applications (IISA2023), 10–12 July 2023, Volos, Greece
Nikos Avgerinos, Salvatore D'Antonio, Irene Kamara, Christos Kotselidis, Ioannis Lazarou, Teresa Mannarino, Georgios Meditskos, Konstantina Papachristopoulou, Angelos Papoutsis, Paolo Roccetti, Martin Zuber, “A Practical and Scalable Privacy-preserving Framework”, IEEE International Conference on Cyber Security and Resilience (CSR), Venice, Italy, 2023, pp. 598-603
Amalia Georgoudi, Georgios Meditskos, Thanassis Mavropoulos, Stefanos Vrochidis, “DYNAMO: Dynamic Ontology Extension for Augmenting Chatbot Intelligence through BabelNet”, 17th International Conference on Advances in Semantic Processing (SEMAPRO 2023), September, 2023, Porto, Portugal.
Sofia Karamintziou, Dimos Ntioudis, Thanassis Mavropoulos, Georgios Meditskos, Stefanos Vrochidis, and Ioannis Kompatsiaris, “Neural Crystals”, IEEE Big Data Workshop IEEE Big Data Workshop on Multimodal AI, 2023
Dimitris Dimoudis, Nikos Tsolakis, Christoniki Magga-Nteve, Georgios Meditskos, Stefanos Vrochidis, and Ioannis Kompatsiaris. “InSEption: A Robust Mechanism for Predicting FoG Episodes in PD Patients", Electronics 2023, 12, 2088
E. Rigas, M. Papoutsoglou, G. Kapitsaki, N. Bassiliades, “Mining Software Repositories to identify Electric Vehicle Trends: The Case of GitHub”, Proc. of the 10th International Conference on Behavioural and Social Computing (BESC 2023), 30 Oct - 1 Nov 2023, Larnaca, Cyprus, IEEE, pp. 1-6.
K. Serderidis, I. Konstantinidis, G. Meditskos, V. Peristeras, N. Bassiliades, “d2kg: An Integrated Ontology for Knowledge Graph-based Representation of Government Decisions and Acts”, Semantic Web Journal, accepted, December 2023.
A. Vassiliades, G. Stathopoulos-Kampilis, G. Antzoulatos, S. Symeonidis, S. Diplaris, S. Vrochidis, N. Bassiliades, I. Kompatsiaris, “XR4DRAMA a knowledge-based system for disaster management and media planning”, The Knowledge Engineering Review, accepted, December 2023.
C. Antoniou, N. Bassiliades, “Α tool for Requirements Engineering using Ontologies and Boilerplates”, Automated Software Engineering, Vol. 31, No. 5, 2024.
Nentidis, A., Chatzopoulos, T., Krithara, A., et al. Large-scale investigation of weakly-supervised deep learning for the fine-grained semantic indexing of biomedical literature. Journal of Biomedical Informatics, Volume 146, 2023.
G. Liapis,K. Zacharia, K. Rrasa, I. Vlahavas, “Serious Escape Room Game for Personality Assessment”, Accepted in 12th Games and Learning Alliance Conference, November 2023
I. Mollas, N. Bassiliades, G. Tsoumakas, "Truthful meta-explanations for local interpretability of machine learning models", Applied Intelligence, 53, pp. 26927–26948, 2023.
D. Vrakas, A. Molohidis, I. Lefkos, A. Taramopoulos, E. Kontopoulos, E. Hatzikraniotis, I. Vlahavas, D. Psillos, “Open, Internet- Based, Virtual Laboratories for Physics”, 9th Panhellenic Conference on Sciences and New Technologies in Education (Enefet), Thessaloniki, Greece, pp. 387-395, 2015
Symeonidis, Moysis & Giouroukis, Dimitris & Vrakas, Dimitris. (2016). A planning problem validator based on reachability analysis. 1-7. 10.1145/2903220.2903237.
Gaitanis, A.; Lentzas, A.; Tsoumakas, G.; Vrakas, D. Route Planning for Emergency Evacuation Using Graph Traversal Algorithms. Smart Cities 2023, 6, 1814-1831. https://doi.org/10.3390/smartcities6040084
N. Bassiliades, “EvdoGraph: A Knowledge Graph for the EVDOXUS Textbook Management Service for Greek Universities”, accepted for presentation at, 15th International Conference on Knowledge Engineering and Ontology Development (KEOD 2023), 13-15 Nov 2023, Rome, Italy.