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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)A Framework for the Detection of Search and Rescue Patterns Using Shapelet Classification., , , and . Future Internet, 11 (9): 192 (2019)Stop-and-move sequence expressions over semantic trajectories., , , , , , , and . Int. J. Geogr. Inf. Sci., 35 (4): 793-818 (2021)Reshaping consumption habits by exploiting energy-related micro-moment recommendations: A case study., , , , , , , and . CoRR, (2020)A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects., , , , , , , and . Inf. Fusion, (2021)"I Want to ... Change": Micro-moment based Recommendations can Change Users' Energy Habits., , , , , , and . SMARTGREENS, page 30-39. SciTePress, (2019)Detecting Search and Rescue Missions from AIS Data., , and . ICDE Workshops, page 60-65. IEEE Computer Society, (2018)