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The emergence of explainability of intelligent systems: Delivering explainable and personalized recommendations for energy efficiency., , , , , , , and . Int. J. Intell. Syst., 36 (2): 656-680 (2021)REHAB-C: Recommendations for Energy HABits Change., , , , , , , and . Future Gener. Comput. Syst., (2020)A driving profile recommender system for autonomous driving using sensor data and reinforcement learning., , , , and . PCI, page 33-38. ACM, (2021)Boosting Domestic Energy Efficiency Through Accurate Consumption Data Collection., , , , , , and . SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, page 1468-1472. IEEE, (2019)Current Challenges and Future Research Directions in Multimodal Explainable Artificial Intelligence., , and . ERCIM News, (2023)The emergence of Explainability of Intelligent Systems: Delivering Explainable and Personalised Recommendations for Energy Efficiency., , , , , , , and . CoRR, (2020)Blockchain-based Recommender Systems: Applications, Challenges and Future Opportunities., , , , , , , , and . CoRR, (2021)Multimodal Explainable Artificial Intelligence: A Comprehensive Review of Methodological Advances and Future Research Directions., , , , , and . CoRR, (2023)Extracting User Habits from Google Maps History Logs., , and . ASONAM, page 690-697. IEEE Computer Society, (2018)TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence., , , , , , , , , and 25 other author(s). COINS, page 1-6. IEEE, (2021)