AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data Jul 13, 2021 Decision Making Interpretable Machine Learning
Code Code Available MLIC: A MaxSAT-Based framework for learning interpretable classification rules Dec 5, 2018 BIG-bench Machine Learning Classification
Code Code Available Supersparse Linear Integer Models for Optimized Medical Scoring Systems Feb 15, 2015 Interpretable Machine Learning
Code Code Available Quantifying and Learning Linear Symmetry-Based Disentanglement Nov 11, 2020 Disentanglement Interpretable Machine Learning
Code Code Available Modelling wildland fire burn severity in California using a spatial Super Learner approach Nov 25, 2023 Fire Detection Interpretable Machine Learning
Code Code Available Climate Change Impact on Agricultural Land Suitability: An Interpretable Machine Learning-Based Eurasia Case Study Oct 24, 2023 Feature Importance Humanitarian
Code Code Available ProtoAttend: Attention-Based Prototypical Learning Feb 17, 2019 Decision Making General Classification
Code Code Available Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks Aug 20, 2019 BIG-bench Machine Learning General Classification
Code Code Available System Design for a Data-driven and Explainable Customer Sentiment Monitor Jan 11, 2021 Interpretable Machine Learning Management
Code Code Available Explaining How Deep Neural Networks Forget by Deep Visualization May 3, 2020 Continual Learning Explainable artificial intelligence
Code Code Available Classifying the Stoichiometry of Virus-like Particles with Interpretable Machine Learning Feb 17, 2025 Interpretable Machine Learning
Code Code Available A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models Apr 8, 2020 BIG-bench Machine Learning Clustering
Code Code Available Interpretable Explanations of Black Boxes by Meaningful Perturbation Apr 11, 2017 Interpretable Machine Learning
Code Code Available A Human-Grounded Evaluation Benchmark for Local Explanations of Machine Learning Jan 16, 2018 BIG-bench Machine Learning Decision Making
Code Code Available Verifying Properties of Tsetlin Machines Mar 25, 2023 Adversarial Robustness Interpretable Machine Learning
Code Code Available [Re] Explaining Groups of Points in Low-Dimensional Representations Jan 31, 2021 Dimensionality Reduction Interpretable Machine Learning
Code Code Available [Re] Explaining Groups of Points in Low-Dimensional Representations Jan 31, 2021 Clustering Interpretable Machine Learning
Code Code Available Explaining Groups of Points in Low-Dimensional Representations Mar 3, 2020 compressed sensing counterfactual
Code Code Available An Interpretable Approach to Load Profile Forecasting in Power Grids using Galerkin-Approximated Koopman Pseudospectra Apr 16, 2023 Computational Efficiency Interpretable Machine Learning
Code Code Available Signed iterative random forests to identify enhancer-associated transcription factor binding Oct 16, 2018 Interpretable Machine Learning
Code Code Available Challenging the Performance-Interpretability Trade-off: An Evaluation of Interpretable Machine Learning Models Sep 22, 2024 Additive models Interpretable Machine Learning
Code Code Available Explaining a black-box using Deep Variational Information Bottleneck Approach Feb 19, 2019 BIG-bench Machine Learning Interpretable Machine Learning
Code Code Available Neural Network Pruning by Gradient Descent Nov 21, 2023 Computational Efficiency Deep Learning
Code Code Available Challenging common interpretability assumptions in feature attribution explanations Dec 4, 2020 Decision Making Explainable Artificial Intelligence (XAI)
Code Code Available Regularizing Black-box Models for Improved Interpretability Feb 18, 2019 BIG-bench Machine Learning Interpretable Machine Learning
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