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Counterfactual Explanation Algorithms for Behavioral and Textual Data

Counterfactual Explanation Algorithms for Behavioral and Textual Data

4 December 2019
Yanou Ramon
David Martens
F. Provost
Theodoros Evgeniou
    FAtt
ArXivPDFHTML

Papers citing "Counterfactual Explanation Algorithms for Behavioral and Textual Data"

11 / 11 papers shown
Title
Interactive Diabetes Risk Prediction Using Explainable Machine Learning: A Dash-Based Approach with SHAP, LIME, and Comorbidity Insights
Interactive Diabetes Risk Prediction Using Explainable Machine Learning: A Dash-Based Approach with SHAP, LIME, and Comorbidity Insights
Udaya Allani
FAtt
35
0
0
08 May 2025
ComplAI: Theory of A Unified Framework for Multi-factor Assessment of
  Black-Box Supervised Machine Learning Models
ComplAI: Theory of A Unified Framework for Multi-factor Assessment of Black-Box Supervised Machine Learning Models
Arkadipta De
Satya Swaroop Gudipudi
Sourab Panchanan
M. Desarkar
FaML
13
0
0
30 Dec 2022
Making the black-box brighter: interpreting machine learning algorithm
  for forecasting drilling accidents
Making the black-box brighter: interpreting machine learning algorithm for forecasting drilling accidents
E. Gurina
Nikita Klyuchnikov
Ksenia Antipova
D. Koroteev
FAtt
25
8
0
06 Sep 2022
Explainable AI for Psychological Profiling from Digital Footprints: A
  Case Study of Big Five Personality Predictions from Spending Data
Explainable AI for Psychological Profiling from Digital Footprints: A Case Study of Big Five Personality Predictions from Spending Data
Yanou Ramon
S. Matz
R. Farrokhnia
David Martens
27
17
0
12 Nov 2021
Counterfactual Shapley Additive Explanations
Counterfactual Shapley Additive Explanations
Emanuele Albini
Jason Long
Danial Dervovic
Daniele Magazzeni
26
49
0
27 Oct 2021
A Framework and Benchmarking Study for Counterfactual Generating Methods
  on Tabular Data
A Framework and Benchmarking Study for Counterfactual Generating Methods on Tabular Data
Raphael Mazzine
David Martens
34
33
0
09 Jul 2021
Understanding Consumer Preferences for Explanations Generated by XAI
  Algorithms
Understanding Consumer Preferences for Explanations Generated by XAI Algorithms
Yanou Ramon
T. Vermeire
Olivier Toubia
David Martens
Theodoros Evgeniou
26
10
0
06 Jul 2021
A Framework for Evaluating Post Hoc Feature-Additive Explainers
A Framework for Evaluating Post Hoc Feature-Additive Explainers
Zachariah Carmichael
Walter J. Scheirer
FAtt
46
4
0
15 Jun 2021
Counterfactuals and Causability in Explainable Artificial Intelligence:
  Theory, Algorithms, and Applications
Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications
Yu-Liang Chou
Catarina Moreira
P. Bruza
Chun Ouyang
Joaquim A. Jorge
CML
47
176
0
07 Mar 2021
Counterfactual explanation of machine learning survival models
Counterfactual explanation of machine learning survival models
M. Kovalev
Lev V. Utkin
CML
OffRL
27
19
0
26 Jun 2020
Explaining Data-Driven Decisions made by AI Systems: The Counterfactual
  Approach
Explaining Data-Driven Decisions made by AI Systems: The Counterfactual Approach
Carlos Fernandez
F. Provost
Xintian Han
CML
11
69
0
21 Jan 2020
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