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Peeperkorn, L.
42  Ergebnisse:
Personensuche X
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1

Piezosurgery: Application in endoscopic otorhinolaryngology:

Walsh, M. ; Quinn, A. ; Peeperkorn, L..
Advances in Oral and Maxillofacial Surgery.  7 (2022)  - p. 100302 , 2022
Link: https://doi.org/10.1016/..
 
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2

Article 102 TFEU: Exclusive Dealing and Rebates:

Peeperkorn, L. ; Rousseva, E.
Journal of European Competition Law & Practice.  2 (2010)  1 - p. 36-38 , 2010
Link: https://doi.org/10.1093/..
 
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3

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

Proactive Innovation in a Prolonged Conflict Setting: Facin..:

Sabateen, Ali ; Khalil, Merette ; Abu El Hawa, Munia...
Frontiers in Public Health.  10 (2022)  - p. , 2022
Link: https://doi.org/10.3389/..
 
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12

Artificial Creative Societies: Adaption, Intention, and Eva..:

, In: Creativity and Cognition,
Peeperkorn, Max - p. 704-707 , 2022
Link: https://dl.acm.org/doi/1..
 
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13

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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14

Competition Policy is not a Stopgap!:

Peeperkorn, Luc
Journal of European Competition Law & Practice.  12 (2021)  6 - p. 415-418 , 2021
Link: https://doi.org/10.1093/..
 
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15

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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