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Counterfactual Explanations for Predictive Business Process Monitoring

Counterfactual Explanations for Predictive Business Process Monitoring

24 February 2022
Tsung-Hao Huang
Andreas Metzger
Klaus Pohl
ArXivPDFHTML

Papers citing "Counterfactual Explanations for Predictive Business Process Monitoring"

10 / 10 papers shown
Title
Counterfactual Strategies for Markov Decision Processes
Counterfactual Strategies for Markov Decision Processes
Paul Kobialka
Lina Gerlach
Francesco Leofante
E. Ábrahám
S. L. T. Tarifa
E. Johnsen
18
0
0
14 May 2025
Generating Counterfactual Explanations Under Temporal Constraints
A. Buliga
Chiara Di Francescomarino
Chiara Ghidini
Marco Montali
M. Ronzani
66
1
0
03 Mar 2025
Guiding the generation of counterfactual explanations through temporal
  background knowledge for Predictive Process Monitoring
Guiding the generation of counterfactual explanations through temporal background knowledge for Predictive Process Monitoring
A. Buliga
Chiara Di Francescomarino
Chiara Ghidini
Ivan Donadello
F. Maggi
19
1
0
18 Mar 2024
Generating Feasible and Plausible Counterfactual Explanations for
  Outcome Prediction of Business Processes
Generating Feasible and Plausible Counterfactual Explanations for Outcome Prediction of Business Processes
Alexander Stevens
Chun Ouyang
Johannes De Smedt
Catarina Moreira
CML
19
1
0
14 Mar 2024
Automatically Reconciling the Trade-off between Prediction Accuracy and
  Earliness in Prescriptive Business Process Monitoring
Automatically Reconciling the Trade-off between Prediction Accuracy and Earliness in Prescriptive Business Process Monitoring
Andreas Metzger
Tristan Kley
Aristide Rothweiler
Klaus Pohl
12
2
0
12 Jul 2023
CREATED: Generating Viable Counterfactual Sequences for Predictive
  Process Analytics
CREATED: Generating Viable Counterfactual Sequences for Predictive Process Analytics
Olusanmi A. Hundogan
Xixi Lu
Yupei Du
H. Reijers
AI4TS
17
7
0
28 Mar 2023
Explain, Adapt and Retrain: How to improve the accuracy of a PPM
  classifier through different explanation styles
Explain, Adapt and Retrain: How to improve the accuracy of a PPM classifier through different explanation styles
Williams Rizzi
Chiara Di Francescomarino
Chiara Ghidini
F. Maggi
11
0
0
27 Mar 2023
A Framework for Extracting and Encoding Features from Object-Centric
  Event Data
A Framework for Extracting and Encoding Features from Object-Centric Event Data
Jan Niklas Adams
Gyunam Park
Sergej Levich
Daniel Schuster
Wil M.P. van der Aalst
23
17
0
02 Sep 2022
An Explainable Decision Support System for Predictive Process Analytics
An Explainable Decision Support System for Predictive Process Analytics
Riccardo Galanti
M. Leoni
M. Monaro
Nicoló Navarin
Alan Marazzi
Brigida Di Stasi
Stéphanie Maldera
19
23
0
26 Jul 2022
Counterfactual Explanations and Algorithmic Recourses for Machine
  Learning: A Review
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review
Sahil Verma
Varich Boonsanong
Minh Hoang
Keegan E. Hines
John P. Dickerson
Chirag Shah
CML
24
106
0
20 Oct 2020
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