Intelligent Systems Lab

Virtsionis Gkalinikis, Nikolaos, Christoforos Nalmpantis, and Dimitris Vrakas. 2022. "Torch-NILM: An Effective Deep Learning Toolkit for Non-Intrusive Load Monitoring in Pytorch" Energies 15, no. 7: 2647. https://doi.org/10.3390/en15072647

Nalmpantis, Christoforos, Nikolaos Virtsionis Gkalinikis, and Dimitris Vrakas. 2022. "Neural Fourier Energy Disaggregation" Sensors 22, no. 2: 473. https://doi.org/10.3390/s22020473

Lentzas, A.; Dalagdi, E.; Vrakas, D. Multilabel Classification Methods for Human Activity Recognition: A Comparison of Algorithms. Sensors 2022, 22, 2353.

Lentzas A. , and Vrakas D. (2022). Machine learning approaches for non-intrusive home absence detection based on appliance electrical use. Expert Systems with Applications, 210:118454.

A. Vassiliades, G. Flouris, Th. Patkos, A. Bikakis, N. Bassiliades, D. Plexousakis, "Argumentation Frameworks with Attack Classification", Journal of Logic and Computation, Vol. 33, No. 2, March 2023, pp. 192–229.

Niki Pandria, Vasileia Petronikolou, Aristotelis Lazaridis, Christos Karapiperis, Eleftherios Kouloumpris, Dimitrios Spachos, Anestis Fachantidis, Dimitrios Vasileiou, Ioannis Vlahavas and Panagiotis Bamidis. “Information System for Symptom Diagnosis and Improvement of Attention Deficit Hyperactivity Disorder: Protocol for a Nonrandomized Controlled Pilot Study”. JMIR Research Protocols, JMIR Publications, 2022, https://doi.org/10.2196/40189.

I. Pierros, I. Vlahavas. “Architecture-Agnostic Time-Step Boosting: A Case Study in Short-Term Load Forecasting”, in Proceedings of the Artificial Neural Networks and Machine Learning (ICANN 2022), Bristol, UK, 6-9 Sept 2022. LNCS, vol. 13531, pp. 556–568, Springer, 2022, https://doi.org/10.1007/978-3-031-15934-3_46/

D. Zaikis, S. Kokkas, I. Vlahavas, "Transforming Drug-Drug Interaction Extraction from Biomedical Literature", In Proceedings of the 12th Hellenic Conference on Artificial Intelligence (SETN '22), Corfu, Greece, 7-9 Sep 2022, Article 12, pp. 1–8, Association for Computing Machinery, 2022

A. Vassiliades, N. Bassiliades, G. Meditskos, K. Spiliopoulos, "Building Eurostat’s Knowledge Graph", Proceedings of the 14th International Conference on Knowledge Engineering and Ontology Development (KEOD 2022), Oct 24-26, 2022, Valetta, Malta, SciTePress, pp. 128-135, 2022.

A. Vassiliades, N. Bassiliades, Th. Patkos, D. Vrakas, "An Open-Ended Web Knowledge Retrieval Framework for the Household Domain With Explanation and Learning Through Argumentation", International Journal on Semantic Web and Information Systems, Volume 18, no. 1, Article 21, pp.1-34, 2022.

Aristotelis Lazaridis, Christos Perchanidis, Doxakis Chovardas and Ioannis Vlahavas. “AlphaBluff: An AI-Powered Heads-Up No-Limit Texas Hold’em Poker Video Game”. 16th International Conference on Innovations in Intelligent Systems and Applications (INISTA), Biarritz, France, 8-10 August, 2022.

Kochliaridis, V., Kouloumpris, E., Vlahavas, I. (2022). TraderNet-CR: Cryptocurrency Trading with Deep Reinforcement Learning. In: Maglogiannis, I., Iliadis, L., Macintyre, J., Cortez, P. (eds) Artificial Intelligence Applications and Innovations. AIAI 2022 https://doi.org/10.1007/978-3-031-08333-4_25

Ioannis Mollas, Nick Bassiliades, & Grigorios Tsoumakas, Conclusive local interpretation rules for random forests. Data Mining and Knowledge Discovery, Vol. 36, pp. 1521-1574, 2022.

Aristotelis Lazaridis, and Ioannis Vlahavas. “REIN-2: Giving Birth to Prepared Reinforcement Learning Agents Using Reinforcement Learning Agents”. Neurocomputing, vol. 497, Elsevier, 2022, https://doi.org/10.1016/j.neucom.2022.05.004.

I. Mollas, N. Bassiliades, G. Tsoumakas, LioNets: a neural-specific local interpretation technique exploiting penultimate layer information. Applied Intelligence, Vol. 53, pp. 2538-2563, 2023.

E. Rigas, E. H. Gerding, S. Stein, S. D. Ramchurn, N. Bassiliades, “Mechanism Design for Efficient Offline and Online Allocation of Electric Vehicles to Charging Stations”, Energies, 15(5):1660, 2022

Maga-Nteve, C., Kontopoulos, E., Tsolakis, N., Mitzias, P., Katakis, I., Mathioudis, E., Avgerinakis, K., Meditskos G., Karakostas A., Vrochidis S., and I. Kompatsiaris. (2021). A Semantic Technologies Toolkit for Bridging Early Diagnosis and Treatment in Brain Diseases – Report from the Ongoing EU-funded Research Project ALAMEDA. Proceedings of Metadata and Semantics Research Conference, Springer, Madrid.

Maga-Nteve, C., Tsolakis, N., Meditskos, G., Karakostas, A., Vrochidis, S., and I. Kompatsiaris. (2021). Ontology-based semantic model for health data interpretation. Proceedings of Fourth International Workshop on Semantic Web Meets Health Data Management (SWH), the 20th International Semantic Web Conference (ISWC), Springer, Virtual Conference 24 - 28 October 2021

Feidakis, M., Chatzigeorgiou, C., Karamperi, C., Giannakos, L., Xefteris, V.-R., Ntioudis, D., Tsanousa, A., Kogias, D.G., Patrikakis, C., Meditskos, G., Gorgogetas, G., Vrochidis, S., Kompatsiaris, I. Smart Interconnected Infrastructures for Security and Protection: The DESMOS Project. Computers 2021, 10, 116.

Stavropoulos, T.G., Meditskos, G., Lazarou, I., Mpaltadoros, L., Papagiannopoulos, S., Tsolaki, M., Kompatsiaris, I. Detection of Health-Related Events and Behaviours from Wearable Sensor Lifestyle Data Using Symbolic Intelligence: A Proof-of-Concept Application in the Care of Multiple Sclerosis. Sensors 2021, 21, 6230.