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Maximize What Matters: Predicting Customer Churn With Decision-Centric Ensemble Selection., , , and . ECIS, (2015)Ensemble classification based on generalized additive models., , and . Comput. Stat. Data Anal., 54 (6): 1535-1546 (2010)Leveraging fine-grained transaction data for customer life event predictions., , and . Decis. Support Syst., (2020)Targeting customers for profit: An ensemble learning framework to support marketing decision-making., , , and . Inf. Sci., (2021)CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation., , , , and . EMNLP, page 11792-11806. Association for Computational Linguistics, (2023)Multi-label classification of member participation in online innovation communities., , and . Eur. J. Oper. Res., 270 (2): 761-774 (2018)Predicting student dropout in subscription-based online learning environments: The beneficial impact of the logit leaf model., , , , and . Decis. Support Syst., (2020)Interpretable data science for decision making., and . Decis. Support Syst., (2021)Reducing inferior member community participation using uplift modeling: Evidence from a field experiment., , , , , and . Decis. Support Syst., (2019)Churn Prediction with Sequential Data and Deep Neural Networks. A Comparative Analysis., , , , and . CoRR, (2019)