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A privacy-friendly hybrid data-driven algorithm for modeling the local flexibility of the EVs.

, , and . ISGT-Europe, page 1-6. IEEE, (2022)

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Bootless Application of Greedy Re-ranking Algorithms in Fair Neural Team Formation., and . BIAS, volume 1840 of Communications in Computer and Information Science, page 108-118. Springer, (2023)Extracting, Mining and Predicting Users' Interests from Social Networks., , and . SIGIR, page 1407-1408. ACM, (2019)Causal Dependencies for Future Interest Prediction on Twitter., , , , and . CIKM, page 1511-1514. ACM, (2018)Learning to Form Skill-based Teams of Experts., , , , and . CIKM, page 2049-2052. ACM, (2020)Finding Diachronic Like-Minded Users., , , , and . Comput. Intell., 34 (1): 124-144 (2018)Effective Neural Team Formation via Negative Samples., , and . CIKM, page 3908-3912. ACM, (2022)OpeNTF: A Benchmark Library for Neural Team Formation., , , and . CIKM, page 3913-3917. ACM, (2022)Time-Sensitive Topic-Based Communities on Twitter., , , and . Canadian AI, volume 9673 of Lecture Notes in Computer Science, page 192-204. Springer, (2016)A Streaming Approach to Neural Team Formation Training., , , and . ECIR (1), volume 14608 of Lecture Notes in Computer Science, page 325-340. Springer, (2024)Predicting users' future interests on social networks: A reference framework., , , , and . Inf. Process. Manag., 61 (5): 103765 (2024)