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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)

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Supervised Conformance Checking Using Recurrent Neural Network Classifiers., , and . ICPM Workshops, volume 406 of Lecture Notes in Business Information Processing, page 175-187. Springer, (2020)Discovering high-quality process models despite data scarcity., , , , , , , , and . ER (Companion), volume 3618 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)Can recurrent neural networks learn process model structure?, , and . J. Intell. Inf. Syst., 61 (1): 27-51 (August 2023)Validation set sampling strategies for predictive process monitoring., , and . Inf. Syst., (March 2024)Vector Representation for Business Process: Graph Embedding for Domain Knowledge Integration., , , , and . ICMLA, page 588-594. IEEE, (2023)Enhancing Stochastic Petri Net-based Remaining Time Prediction using k-Nearest Neighbors., , , and . ATAED@Petri Nets, volume 3167 of CEUR Workshop Proceedings, page 9-24. CEUR-WS.org, (2022)Can deep neural networks learn process model structure? An assessment framework and analysis., , and . CoRR, (2022)Global conformance checking measures using shallow representation and deep learning., , and . Eng. Appl. Artif. Intell., 123 (Part): 106393 (2023)Outcome-Oriented Predictive Process Monitoring on Positive and Unlabelled Event Logs., , , , , and . ICPM Workshops, volume 468 of Lecture Notes in Business Information Processing, page 255-268. Springer, (2022)Can Deep Neural Networks Learn Process Model Structure? An Assessment Framework and Analysis., , and . ICPM Workshops, volume 433 of Lecture Notes in Business Information Processing, page 127-139. Springer, (2021)