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A. Bardos, I. Mollas, N. Bassiliades, G. Tsoumakas, "Local Explanation of Dimensionality Reduction", 12th Hellenic Conference on Artificial Intelligence (SETN 2022), Sep 7-9, 2022, Corfu, Greece. ACM, New York, NY, USA, Article 29, 1–9.
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I. Mollas, N. Bassiliades, G. Tsoumakas, "Altruist: Argumentative Explanations through Local Interpretations of Predictive Models", 12th Hellenic Conference on Artificial Intelligence (SETN 2022), Sep 7-9, 2022, Corfu, Greece. ACM, New York, NY, USA, Article 21, 1–10.
E. Karagianni, E. Rigas, N. Bassiliades, "Scheduling drones to recharge electric vehicles", 12th Hellenic Conference on Artificial Intelligence (SETN 2022), Sep 7-9, 2022, Corfu, Greece. ACM, New York, NY, USA, Article 22, 1–4.
Z. Vasileiou, G. Meditskos, S. Vrochidis, N. Bassiliades, "An Explainable Multimodal Fusion Approach for Mass Casualty Incidents", 4th International Workshop on Machine Learning and Knowledge Graphs (MLKgraphs 2022), Workshop of the 33rd DEXA Conference, 22 Aug 2022, Vienna, Austria, in: G. Kotsis et al., Database and Expert Systems Applications - DEXA 2022 Workshops. DEXA 2022. Communications in Computer and Information Science, vol 1633, pp. 375–379, Springer, Cham, 2022.
I. Gocev, G. Meditskos, N. Bassiliades, "Towards Explaining DL Non-entailments by Utilizing Subtree Isomorphisms", Proc. 24th International Conference on Information Integration and Web Intelligence (iiWAS2022), 28-30 Nov 2022, virtual conference, LNCS, vol 13635, Springer, pp. 385–390, 2022.
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K. Mokos, Th. Nestoridis, P. Katsaros, N. Bassiliades, "Semantic Modeling and Analysis of Natural Language System Requirements", IEEE Access, vol. 10, pp. 84094-84119, 2022.
N. V. Gkalinikis and D. Vrakas, "Efficient Deep Learning Techniques for Water Disaggregation," 2022 2nd International Conference on Energy Transition in the Mediterranean Area (SyNERGY MED), Thessaloniki, Greece, 2022, pp. 1-6, doi: 10.1109/SyNERGYMED55767.2022.9941424.
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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.
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