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Understanding Customer Attrition at an Individual Level: a New Model in Grocery Retail Context.

, , , , and . EDBT, page 686-687. OpenProceedings.org, (2016)

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Why Are You Weird? Infusing Interpretability in Isolation Forest for Anomaly Detection., , and . CoRR, (2021)Multi-Plant Photovoltaic Energy Forecasting Challenge: Second Place Solution., , and . DC@PKDD/ECML, volume 1972 of CEUR Workshop Proceedings, CEUR-WS.org, (2017)Human-Machine Collaboration for Democratizing Data Science., , , , , and . Human-Like Machine Intelligence, Oxford University Press, (2022)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)VisualSynth: Democratizing Data Science in Spreadsheets., , , , , , , , and . ECML/PKDD (5), volume 12461 of Lecture Notes in Computer Science, page 550-554. Springer, (2020)