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Peeperkorn, Jari
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1

Validation set sampling strategies for predictive process m..:

Peeperkorn, Jari ; vanden Broucke, Seppe ; De Weerdt, Jochen
Information Systems.  121 (2024)  - p. 102330 , 2024
Link: https://doi.org/10.1016/..
 
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2

Outcome-Oriented Predictive Process Monitoring on Positive ..:

, In: Lecture Notes in Business Information Processing; Process Mining Workshops,
Peeperkorn, Jari ; Ortega Vázquez, Carlos ; Stevens, Alexander... - p. 255-268 , 2023
Link: https://doi.org/10.1007/..
 
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3

Manifold Learning for Adversarial Robustness in Predictive ..:

, In: 2023 5th International Conference on Process Mining (ICPM),
Stevens, Alexander ; Peeperkorn, Jari ; De Smedt, Johannes. - p. 17-24 , 2023
Link: https://doi.org/10.1109/..
 
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4

Vector Representation for Business Process: Graph Embedding..:

, In: 2023 International Conference on Machine Learning and Applications (ICMLA),
Neubauer, Thais Rodrigues ; Peeperkorn, Jari ; Peres, Sarajane Marques.. - p. 588-594 , 2023
Link: https://doi.org/10.1109/..
 
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5

Global conformance checking measures using shallow represen..:

Peeperkorn, Jari ; vanden Broucke, Seppe ; De Weerdt, Jochen
Engineering Applications of Artificial Intelligence.  123 (2023)  - p. 106393 , 2023
Link: https://doi.org/10.1016/..
 
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6

Assessing the Robustness in Predictive Process Monitoring t..:

, In: 2022 4th International Conference on Process Mining (ICPM),
Stevens, Alexander ; De Smedt, Johannes ; Peeperkorn, Jari. - p. 56-63 , 2022
Link: https://doi.org/10.1109/..
 
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7

Can Deep Neural Networks Learn Process Model Structure? An ..:

, In: Lecture Notes in Business Information Processing; Process Mining Workshops,
Peeperkorn, Jari ; vanden Broucke, Seppe ; De Weerdt, Jochen - p. 127-139 , 2022
Link: https://doi.org/10.1007/..
 
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8

Can recurrent neural networks learn process model structure:

Peeperkorn, Jari ; Broucke, Seppe vanden ; De Weerdt, Jochen
Journal of Intelligent Information Systems.  , 2022
Link: https://doi.org/10.1007/..
 
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9

Quantifying Explainability in Outcome-Oriented Predictive P..:

, In: Lecture Notes in Business Information Processing; Process Mining Workshops,
Stevens, Alexander ; De Smedt, Johannes ; Peeperkorn, Jari - p. 194-206 , 2022
Link: https://doi.org/10.1007/..
 
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10

Supervised Conformance Checking Using Recurrent Neural Netw..:

, In: Lecture Notes in Business Information Processing; Process Mining Workshops,
Peeperkorn, Jari ; vanden Broucke, Seppe ; De Weerdt, Jochen - p. 175-187 , 2021
Link: https://doi.org/10.1007/..
 
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11

Conformance Checking Using Activity and Trace Embeddings:

, In: Lecture Notes in Business Information Processing; Business Process Management Forum,
Peeperkorn, Jari ; vanden Broucke, Seppe ; De Weerdt, Jochen - p. 105-121 , 2020
Link: https://doi.org/10.1007/..
 
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12

Discovering High-Quality Process Models Despite Data Scarci..:

Adams, Jan Niklas ; Peeperkorn, Jari ; Brockhoff, Tobias...
http://arxiv.org/abs/2310.11332.  , 2023
Link: http://arxiv.org/abs/231..
 
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13

Can deep neural networks learn process model structure? An ..:

Peeperkorn, Jari ; Broucke, Seppe vanden ; De Weerdt, Jochen
http://arxiv.org/abs/2202.11985.  , 2022
Link: http://arxiv.org/abs/220..
 
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14

Enhancing Stochastic Petri Net-based Remaining Time Predict..:

Vandenabeele, Jarne ; Vermaut, Gilles ; Peeperkorn, Jari.
http://arxiv.org/abs/2206.13109.  , 2022
Link: http://arxiv.org/abs/220..
 
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15

Can recurrent neural networks learn process model structure:

Peeperkorn, Jari ; Broucke, Seppe vanden ; De Weerdt, Jochen
http://arxiv.org/abs/2212.06430.  , 2022
Link: http://arxiv.org/abs/221..
 
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