Efficient Learning of Interpretable Classification Rules

14 May 2022

Papers citing "Efficient Learning of Interpretable Classification Rules"

8 / 8 papers shown

Title
Lightweight Deepfake Detection Based on Multi-Feature Fusion Siddiqui Muhammad Yasir Hyun Kim 58 2 0 17 Feb 2025
Logic-Based Explainability in Machine Learning João Marques-Silva LRM XAI 31 39 0 24 Oct 2022
Concise and interpretable multi-label rule sets Martino Ciaperoni Han Xiao A. Gionis 17 1 0 04 Oct 2022
Rule Induction in Knowledge Graphs Using Linear Programming S. Dash Joao Goncalves 24 5 0 15 Oct 2021
Post-hoc explanation of black-box classifiers using confident itemsets M. Moradi Matthias Samwald 45 97 0 05 May 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 294 4,187 0 23 Aug 2019
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 192 739 0 13 Dec 2018
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 225 3,672 0 28 Feb 2017