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DiCE4EL: Interpreting Process Predictions using a Milestone-Aware
  Counterfactual Approach

DiCE4EL: Interpreting Process Predictions using a Milestone-Aware Counterfactual Approach

19 July 2021
Chih-Jou Hsieh
Catarina Moreira
Chun Ouyang
ArXivPDFHTML

Papers citing "DiCE4EL: Interpreting Process Predictions using a Milestone-Aware Counterfactual Approach"

6 / 6 papers shown
Title
Counterfactual Explanations for Multivariate Time-Series without
  Training Datasets
Counterfactual Explanations for Multivariate Time-Series without Training Datasets
Xiangyu Sun
Raquel Aoki
Kevin H. Wilson
32
1
0
28 May 2024
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
26
0
0
27 Mar 2023
Explainable Artificial Intelligence for Improved Modeling of Processes
Explainable Artificial Intelligence for Improved Modeling of Processes
Riza Velioglu
Jan Philip Göpfert
André Artelt
Barbara Hammer
AI4TS
22
4
0
01 Dec 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
34
24
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
28
164
0
20 Oct 2020
An Interpretable Probabilistic Approach for Demystifying Black-box
  Predictive Models
An Interpretable Probabilistic Approach for Demystifying Black-box Predictive Models
Catarina Moreira
Yu-Liang Chou
M. Velmurugan
Chun Ouyang
Renuka Sindhgatta
P. Bruza
38
57
0
21 Jul 2020
1