IMLI: An Incremental Framework for MaxSAT-Based Learning of Interpretable Classification Rules

7 January 2020

Papers citing "IMLI: An Incremental Framework for MaxSAT-Based Learning of Interpretable Classification Rules"

6 / 6 papers shown

Title
An Incremental MaxSAT-based Model to Learn Interpretable and Balanced Classification Rules Antônio Carlos Souza Ferreira Júnior Thiago Alves Rocha 18 0 0 25 Mar 2024
Logic-Based Explainability in Machine Learning Sasha Rubin LRM XAI 57 39 0 24 Oct 2022
Eliminating The Impossible, Whatever Remains Must Be True Jinqiang Yu Alexey Ignatiev Peter J. Stuckey Nina Narodytska Sasha Rubin 32 23 0 20 Jun 2022
Rule Generation for Classification: Scalability, Interpretability, and Fairness Tabea E. Rober Adia C. Lumadjeng M. Akyuz cS. .Ilker Birbil 43 2 0 21 Apr 2021
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges Cynthia Rudin Chaofan Chen Zhi Chen Haiyang Huang Lesia Semenova Chudi Zhong FaML AI4CE LRM 59 655 0 20 Mar 2021
Computing Optimal Decision Sets with SAT Jinqiang Yu Alexey Ignatiev Peter J. Stuckey P. L. Bodic FAtt 22 26 0 29 Jul 2020