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Why Are You Weird? Infusing Interpretability in Isolation Forest for Anomaly Detection., , and . CoRR, (2021)Human-Machine Collaboration for Democratizing Data Science., , , , , and . Human-Like Machine Intelligence, Oxford University Press, (2022)Multi-Plant Photovoltaic Energy Forecasting Challenge: Second Place Solution., , and . DC@PKDD/ECML, volume 1972 of CEUR Workshop Proceedings, CEUR-WS.org, (2017)Democratizing Constraint Satisfaction Problems through Machine Learning., , , and . AAAI, page 16057-16059. AAAI Press, (2021)SynthLog: A Language for Synthesising Inductive Data Models (Extended Abstract)., , , , , , , , , and . PKDD/ECML Workshops (1), volume 1167 of Communications in Computer and Information Science, page 102-110. Springer, (2019)Signatures: detecting and characterizing complex recurrent behavior in sequential data. (Détection et caractérisation de comportements complexes récurrents dans des données séquentielles).. University of Rennes 1, France, (2018)Predicting Pass Receiver in Football Using Distance Based Features., and . MLSA@PKDD/ECML, volume 2284 of CEUR Workshop Proceedings, page 145-151. CEUR-WS.org, (2018)Detecting Strategic Moves in HearthStone Matches., , and . MLSA@PKDD/ECML, volume 1842 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)Topic Signatures in Political Campaign Speeches., , , and . EMNLP, page 2342-2347. Association for Computational Linguistics, (2017)Sky-signatures: detecting and characterizing recurrent behavior in sequential data., , , , and . Data Min. Knowl. Discov., 38 (2): 372-419 (2024)