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Assessing the Robustness in Predictive Process Monitoring through Adversarial Attacks.

A. Stevens, J. Smedt, J. Peeperkorn, and J. Weerdt. ICPM, page 56-63. IEEE, (2022)

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Jari Pakkanen

Jari Veijalainen

Jari Hannuksela

Jari Ylioinas

Jari Veijalainen

Other publications of authors with the same name

Supervised Conformance Checking Using Recurrent Neural Network Classifiers.J. Peeperkorn, S. vanden Broucke, and J. Weerdt. ICPM Workshops, volume 406 of Lecture Notes in Business Information Processing, page 175-187. Springer, (2020)Discovering high-quality process models despite data scarcity.J. Adams, J. Peeperkorn, T. Brockhoff, I. Terrier, H. Göhner, M. Uysal, S. vanden Broucke, J. Weerdt, and W. van der Aalst. ER (Companion), volume 3618 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)Can recurrent neural networks learn process model structure?J. Peeperkorn, S. vanden Broucke, and J. Weerdt. J. Intell. Inf. Syst., 61 (1): 27-51 (August 2023)Vector Representation for Business Process: Graph Embedding for Domain Knowledge Integration.T. Neubauer, J. Peeperkorn, S. Peres, J. Weerdt, and M. Fantinato. ICMLA, page 588-594. IEEE, (2023)Enhancing Stochastic Petri Net-based Remaining Time Prediction using k-Nearest Neighbors.J. Vandenabeele, G. Vermaut, J. Peeperkorn, and J. Weerdt. ATAED@Petri Nets, volume 3167 of CEUR Workshop Proceedings, page 9-24. CEUR-WS.org, (2022)Outcome-Oriented Predictive Process Monitoring on Positive and Unlabelled Event Logs.J. Peeperkorn, C. Vázquez, A. Stevens, J. Smedt, S. vanden Broucke, and J. Weerdt. 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.J. Peeperkorn, S. vanden Broucke, and J. Weerdt. ICPM Workshops, volume 433 of Lecture Notes in Business Information Processing, page 127-139. Springer, (2021)Conformance Checking Using Activity and Trace Embeddings.J. Peeperkorn, S. vanden Broucke, and J. Weerdt. BPM (Forum), volume 392 of Lecture Notes in Business Information Processing, page 105-121. Springer, (2020)Assessing the Robustness in Predictive Process Monitoring through Adversarial Attacks.A. Stevens, J. Smedt, J. Peeperkorn, and J. Weerdt. ICPM, page 56-63. IEEE, (2022)Quantifying Explainability in Outcome-Oriented Predictive Process Monitoring.A. Stevens, J. Smedt, and J. Peeperkorn. ICPM Workshops, volume 433 of Lecture Notes in Business Information Processing, page 194-206. Springer, (2021)

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Disambiguation of "Peeperkorn, Jari"

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Assessing the Robustness in Predictive Process Monitoring through Adversarial Attacks.

Please choose a person to relate this publication to

Jari Pakkanen

Jari Veijalainen

Jari Hannuksela

Jari Ylioinas

Jari Veijalainen

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Peeperkorn, Jari"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Assessing the Robustness in Predictive Process Monitoring through Adversarial Attacks.

Please choose a person to relate this publication to

Jari Pakkanen

Jari Veijalainen

Jari Hannuksela

Jari Ylioinas

Jari Veijalainen

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Assessing the Robustness in Predictive Process Monitoring through Adversarial Attacks.