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CREATED: Generating Viable Counterfactual Sequences for Predictive
  Process Analytics

CREATED: Generating Viable Counterfactual Sequences for Predictive Process Analytics

28 March 2023
Olusanmi A. Hundogan
Xixi Lu
Yupei Du
H. Reijers
    AI4TS
ArXivPDFHTML

Papers citing "CREATED: Generating Viable Counterfactual Sequences for Predictive Process Analytics"

5 / 5 papers shown
Title
DiCE4EL: Interpreting Process Predictions using a Milestone-Aware
  Counterfactual Approach
DiCE4EL: Interpreting Process Predictions using a Milestone-Aware Counterfactual Approach
Chih-Jou Hsieh
Catarina Moreira
Chun Ouyang
38
28
0
19 Jul 2021
Long-term series forecasting with Query Selector -- efficient model of
  sparse attention
Long-term series forecasting with Query Selector -- efficient model of sparse attention
J. Klimek
Jakub Klímek
W. Kraskiewicz
Mateusz Topolewski
AI4TS
73
6
0
19 Jul 2021
Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal
  Models
Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models
Michael Oberst
David Sontag
CML
OffRL
47
170
0
14 May 2019
Counterfactual Explanations without Opening the Black Box: Automated
  Decisions and the GDPR
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR
Sandra Wachter
Brent Mittelstadt
Chris Russell
MLAU
86
2,332
0
01 Nov 2017
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNN
AI4CE
356
18,300
0
27 May 2016
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