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Uncertainty Quantification for Efficient and Risk-Sensitive Reinforcement Learning., , , и . SSCI, стр. 1429-1434. IEEE, (2023)New MCDM methods under uncertainty applied to integrated natural risks management., , , , и . CIVEMSA, стр. 193-198. IEEE, (2017)Coupling Geographic Information System (GIS) and Multi-Criteria Analysis (MCA) for Modelling the Ecological Continuum in Participative Territorial Planning., , , , и . Int. J. Agric. Environ. Inf. Syst., 2 (2): 29-51 (2011)Explainable Abnormal Time Series Subsequence Detection Using Random Convolutional Kernels., и . DeLTA, том 1875 из Communications in Computer and Information Science, стр. 280-294. Springer, (2023)Evaluation of efficiency of torrential protective structures with new BF-TOPSIS methods., , , , и . FUSION, стр. 2267-2274. IEEE, (2016)Vertical Vector Fields and Neural Networks: An Application in Atmospheric Pollution Forecasting., , и . ICANNGA, стр. 91-94. Springer, (2003)Energy Efficient Message Scheduling with Redundancy Control for Massive IoT Monitoring., , , и . WCNC, стр. 1-6. IEEE, (2023)NLP based on GCVAE for intelligent Fault Analysis in Semiconductor industry., , , , и . ETFA, стр. 1-8. IEEE, (2022)Computer Vision based welding defect detection using YOLOv3., , и . ETFA, стр. 1-6. IEEE, (2022)Applying ER-MCDA and BF-TOPSIS to Decide on Effectiveness of Torrent Protection., , , , и . BELIEF, том 9861 из Lecture Notes in Computer Science, стр. 56-65. Springer, (2016)