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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)

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Jari Pakkanen

Jari Veijalainen

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Jari Ylioinas

Jari Veijalainen

 

Другие публикации лиц с тем же именем

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)Discovering high-quality process models despite data scarcity., , , , , , , , и . ER (Companion), том 3618 из CEUR Workshop Proceedings, CEUR-WS.org, (2023)Can recurrent neural networks learn process model structure?, , и . J. Intell. Inf. Syst., 61 (1): 27-51 (августа 2023)Vector Representation for Business Process: Graph Embedding for Domain Knowledge Integration., , , , и . ICMLA, стр. 588-594. IEEE, (2023)Enhancing Stochastic Petri Net-based Remaining Time Prediction using k-Nearest Neighbors., , , и . ATAED@Petri Nets, том 3167 из CEUR Workshop Proceedings, стр. 9-24. CEUR-WS.org, (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)Can Deep Neural Networks Learn Process Model Structure? An Assessment Framework and Analysis., , и . ICPM Workshops, том 433 из Lecture Notes in Business Information Processing, стр. 127-139. Springer, (2021)Conformance Checking Using Activity and Trace Embeddings., , и . BPM (Forum), том 392 из Lecture Notes in Business Information Processing, стр. 105-121. Springer, (2020)Quantifying Explainability in Outcome-Oriented Predictive Process Monitoring., , и . ICPM Workshops, том 433 из Lecture Notes in Business Information Processing, стр. 194-206. Springer, (2021)Assessing the Robustness in Predictive Process Monitoring through Adversarial Attacks., , , и . ICPM, стр. 56-63. IEEE, (2022)