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A GAN-based hybrid sampling method for imbalanced customer classification.

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Gernot Seppel

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Michael Seppelt

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Advances in Process Mining: Artificial negative events and othertechniques.. Katholieke Universiteit Leuven, Belgium, (2014)base-search.net (ftunivleuven:oai:lirias.kuleuven.be:123456789/459143).Toward Data Protection by Design: Assessing the Current State of GDPR Disclosure in Web Applications., , и . REW, стр. 218-223. IEEE, (2023)Supervised Conformance Checking Using Recurrent Neural Network Classifiers., , и . ICPM Workshops, том 406 из Lecture Notes in Business Information Processing, стр. 175-187. Springer, (2020)Investigating Organizational Factors Associated with GDPR Noncompliance using Privacy Policies: A Machine Learning Approach., , и . TPS-ISA, стр. 107-113. IEEE, (2022)Discovering high-quality process models despite data scarcity., , , , , , , , и . ER (Companion), том 3618 из CEUR Workshop Proceedings, CEUR-WS.org, (2023)A framework for encoding the multi-location load state of a business process., , и . PMAI@IJCAI, том 3310 из CEUR Workshop Proceedings, стр. 13-24. CEUR-WS.org, (2022)LS-ICE: A Load State Intercase Encoding framework for improved predictive monitoring of business processes., , и . Inf. Syst., (2024)Closing the Gap Between Experts and Novices Using Analytics-as-a-Service: An Experimental Study., , , , , , и . Bus. Inf. Syst. Eng., 61 (6): 679-693 (2019)The Hidden Cost of Fraud: An Instance-Dependent Cost-Sensitive Approach for Positive and Unlabeled Learning., , и . LIDTA, том 183 из Proceedings of Machine Learning Research, стр. 53-67. PMLR, (2022)Outcome-Oriented Predictive Process Monitoring on Positive and Unlabelled Event Logs., , , , , и . ICPM Workshops, том 468 из Lecture Notes in Business Information Processing, стр. 255-268. Springer, (2022)