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Optimal Counterfactual Explanations for Scorecard modelling

Optimal Counterfactual Explanations for Scorecard modelling

17 April 2021
Guillermo Navas-Palencia
ArXivPDFHTML

Papers citing "Optimal Counterfactual Explanations for Scorecard modelling"

6 / 6 papers shown
Title
GlyTwin: Digital Twin for Glucose Control in Type 1 Diabetes Through Optimal Behavioral Modifications Using Patient-Centric Counterfactuals
GlyTwin: Digital Twin for Glucose Control in Type 1 Diabetes Through Optimal Behavioral Modifications Using Patient-Centric Counterfactuals
Asiful Arefeen
Saman Khamesian
Maria Adela Grando
Bithika Thompson
Hassan Ghasemzadeh
51
0
0
14 Apr 2025
Generating collective counterfactual explanations in score-based
  classification via mathematical optimization
Generating collective counterfactual explanations in score-based classification via mathematical optimization
E. Carrizosa
Jasone Ramírez-Ayerbe
Dolores Romero Morales
44
18
0
19 Oct 2023
Designing User-Centric Behavioral Interventions to Prevent Dysglycemia
  with Novel Counterfactual Explanations
Designing User-Centric Behavioral Interventions to Prevent Dysglycemia with Novel Counterfactual Explanations
Asiful Arefeen
Hassan Ghasemzadeh
41
3
0
02 Oct 2023
Achieving Diversity in Counterfactual Explanations: a Review and
  Discussion
Achieving Diversity in Counterfactual Explanations: a Review and Discussion
Thibault Laugel
Adulam Jeyasothy
Marie-Jeanne Lesot
Christophe Marsala
Marcin Detyniecki
CML
29
10
0
10 May 2023
Counterfactual Explanations Using Optimization With Constraint Learning
Counterfactual Explanations Using Optimization With Constraint Learning
Donato Maragno
Tabea E. Rober
Ilker Birbil
CML
63
10
0
22 Sep 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
26
164
0
20 Oct 2020
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