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The emergence of explainability of intelligent systems: Delivering explainable and personalized recommendations for energy efficiency., , , , , , , и . Int. J. Intell. Syst., 36 (2): 656-680 (2021)A driving profile recommender system for autonomous driving using sensor data and reinforcement learning., , , , и . PCI, стр. 33-38. ACM, (2021)A Survey on the use of Federated Learning in Privacy-Preserving Recommender Systems., , , , , , , и . IEEE Open J. Comput. Soc., (2024)The emergence of Explainability of Intelligent Systems: Delivering Explainable and Personalised Recommendations for Energy Efficiency., , , , , , , и . CoRR, (2020)Development and evaluation of Reinforcement Learning models for the FOSSBot Open-Source educational robot., , , и . PCI, стр. 26-35. ACM, (2023)A Holistic Approach to Use Educational Robots for Supporting Computer Science Courses., , , , и . Comput., 13 (4): 102 (апреля 2024)Reshaping consumption habits by exploiting energy-related micro-moment recommendations: A case study., , , , , , , и . CoRR, (2020)Dynamic Navigation in Unconstrained Environments Using Reinforcement Learning Algorithms., , , , и . IEEE Access, (2023)A Micro-Moment System for Domestic Energy Efficiency Analysis., , , , , , , и . IEEE Syst. J., 15 (1): 1256-1263 (2021)Using big data and federated learning for generating energy efficiency recommendations., , , , , , , и . Int. J. Data Sci. Anal., 16 (3): 353-369 (сентября 2023)