Enhancing IoT botnet attack detection in SOCs with an explainable active learning frameworkKalakoti, Rajesh; Nõmm, Sven; Bahsi, Hayretdin2024 IEEE World AI IoT Congress (AIIoT)2024 / p. 265 - 272 https://doi.org/10.1109/AIIoT61789.2024.10578957 Article at Scopus Article at WOS

Evaluating model performance through a user-centric explainable framework for probabilistic load forecasting modelsRobin, Rebecca; Heistrene, Leena; Belikov, Juri; Baimel, Dmitry; Levron, Yoash2024 Third International Conference on Power, Control and Computing Technologies (ICPC2T)2024 / p. 427 - 432 https://doi.org/10.1109/ICPC2T60072.2024.10474692 Article at Scopus

Explainability and transparency of classifiers for air-handling unit faults using explainable artificial intelligence (XAI)Meas, Molika; Machlev, Ram; Köse, Ahmet; Tepljakov, Aleksei; Loo, Lauri; Levron, Yoash; Petlenkov, Eduard; Belikov, JuriSensors2022 / art. 6338 : ill https://doi.org/10.3390/s22176338 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Explainability-based trust algorithm for electricity price forecasting modelsHeistrene, Leena; Machlev, Ram; Perl, Michael; Belikov, Juri; Baimel, Dmitry; Levy, Kfir; Mannor, Shie; Levron, YoashEnergy and AI2023 / art 100259, 18 p https://doi.org/10.1016/j.egyai.2023.100259 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Explainable federated learning for Botnet Detection in IoT networksKalakoti, Rajesh; Bahsi, Hayretdin; Nõmm, SvenProceedings of the 2024 IEEE International Conference on Cyber Security and Resilience (CSR), September 2-4, 2024, London, UK2024 / p. 22-29 https://doi.org/10.1109/CSR61664.2024.10679348 Article at Scopus Article at WOS

Interpretable machine learning for heterogeneous treatment effect estimators with Double ML: a case of access to credit for SMEsMedianovskyi, Kyrylo; Malakauskas, Aidas; Lakstutiene, Ausrine; Ben Yahia, SadokProcedia computer science2023 / p. 2163-2172 : ill https://doi.org/10.1016/j.procs.2023.10.207 Conference proceeding at Scopus Article at Scopus

Interpretable machine learning for SME financial distress predictionMedianovskyi, Kyrylo; Malakauskas, Aidas; Lakstutiene, Ausrine; Ben Yahia, Sadok12th International Conference on Information Systems and Advanced Technologies "ICISAT 2022" : Intelligent Information, Data Science and Decision Support System2023 / p. 454 - 464 https://doi.org/10.1007/978-3-031-25344-7_42 Article collection metrics at Scopus Article at Scopus