Counterfactual Explanation of Machine Learning Survival Models

Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review

Sahil Verma, Varich Boonsanong, Minh Hoang, Keegan Hines, John Dickerson, Chirag Shah

Journal ACM Computing Surveys Volume 56, Issue 12 (2024), p. 1

Counterfactual explanations and how to find them: literature review and benchmarking

Riccardo Guidotti

Journal Data Mining and Knowledge Discovery Volume 38, Issue 5 (2024), p. 2770

JointLIME: An interpretation method for machine learning survival models with endogenous time‐varying covariates in credit scoring

Yujia Chen, Raffaella Calabrese, Belen Martin‐Barragan

Journal Risk Analysis (2024)

MS-CPFI: A model-agnostic Counterfactual Perturbation Feature Importance algorithm for interpreting black-box Multi-State models

Aziliz Cottin, Marine Zulian, Nicolas Pécuchet, Agathe Guilloux, Sandrine Katsahian

Journal Artificial Intelligence in Medicine Volume 147 (2024), p. 102741

Model‐agnostic explanations for survival prediction models

Krithika Suresh, Carsten Görg, Debashis Ghosh

Journal Statistics in Medicine Volume 43, Issue 11 (2024), p. 2161

Note on the bi-risk discrete time risk model with income rate two

Andrius Grigutis, Artur Nakliuda

Journal Modern Stochastics: Theory and Applications (2022), p. 401

Recommendation Algorithm Based on Survival Action Rules

Marek Hermansa, Marek Sikora, Beata Sikora, Łukasz Wróbel

Journal Applied Sciences Volume 14, Issue 7 (2024), p. 2939

SDA-Vis: A Visualization System for Student Dropout Analysis Based on Counterfactual Exploration

Germain Garcia-Zanabria, Daniel A. Gutierrez-Pachas, Guillermo Camara-Chavez, Jorge Poco, Erick Gomez-Nieto

Journal Applied Sciences Volume 12, Issue 12 (2022), p. 5785

SurvSHAP(t): Time-dependent explanations of machine learning survival models

Mateusz Krzyziński, Mikołaj Spytek, Hubert Baniecki, Przemysław Biecek

Journal Knowledge-Based Systems Volume 262 (2023), p. 110234

Understanding Survival Models Through Counterfactual Explanations

Abdallah Alabdallah, Jakub Jakubowski, Sepideh Pashami, Szymon Bobek, Mattias Ohlsson, Thorsteinn Rögnvaldsson, Grzegorz J. Nalepa

Book Lecture Notes in Computer Science (Computational Science – ICCS 2024) Volume 14835 (2024), p. 310

survex: an R package for explaining machine learning survival models

Mikołaj Spytek, Mateusz Krzyziński, Sophie Hanna Langbein, Hubert Baniecki, Marvin N Wright, Przemysław Biecek, Jonathan Wren

Journal Bioinformatics Volume 39, Issue 12 (2023)