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Discovering high-quality process models despite data scarcity., , , , , , , , and . ER (Companion), volume 3618 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)Explainable concept drift in process mining., , , and . Inf. Syst., (March 2023)OPerA: Object-Centric Performance Analysis., , and . ER, volume 13607 of Lecture Notes in Computer Science, page 281-292. Springer, (2022)Addressing Convergence, Divergence, and Deficiency Issues., and . Business Process Management Workshops, volume 492 of Lecture Notes in Business Information Processing, page 496-507. Springer, (2023)A Framework for Explainable Concept Drift Detection in Process Mining., , , , , and . BPM, volume 12875 of Lecture Notes in Computer Science, page 400-416. Springer, (2021)A Framework for Extracting and Encoding Features from Object-Centric Event Data., , , , and . ICSOC, volume 13740 of Lecture Notes in Computer Science, page 36-53. Springer, (2022)OCπ: Object-Centric Process Insights., and . Petri Nets, volume 13288 of Lecture Notes in Computer Science, page 139-150. Springer, (2022)Preserving complex object-centric graph structures to improve machine learning tasks in process mining., , and . Eng. Appl. Artif. Intell., (2023)Precision and Fitness in Object-Centric Process Mining., and . ICPM, page 128-135. IEEE, (2021)Defining Cases and Variants for Object-Centric Event Data., , , , and . ICPM, page 128-135. IEEE, (2022)