| Joint Shapley values: a measure of joint feature importance | Jul 23, 2021 | Feature Importance | CodeCode Available | 1 | 5 |
| Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task | Sep 30, 2020 | BIG-bench Machine LearningFeature Importance | CodeCode Available | 1 | 5 |
| A Unified Approach to Interpreting Model Predictions | May 22, 2017 | Feature ImportanceImage Attribution | CodeCode Available | 1 | 5 |
| Feature Importance and Explainability in Quantum Machine Learning | May 14, 2024 | Feature ImportanceQuantum Machine Learning | CodeCode Available | 0 | 5 |
| Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal Forecasting | Nov 29, 2022 | Feature Importancequantile regression | CodeCode Available | 0 | 5 |
| FAT-DeepFFM: Field Attentive Deep Field-aware Factorization Machine | May 15, 2019 | Click-Through Rate PredictionFeature Importance | CodeCode Available | 0 | 5 |
| Benchmarking the Fidelity and Utility of Synthetic Relational Data | Oct 4, 2024 | BenchmarkingFeature Importance | CodeCode Available | 0 | 5 |
| Benchmarking Perturbation-based Saliency Maps for Explaining Atari Agents | Jan 18, 2021 | Atari GamesBenchmarking | CodeCode Available | 0 | 5 |
| Explanation by Progressive Exaggeration | Nov 1, 2019 | Feature ImportanceGeneral Classification | CodeCode Available | 0 | 5 |
| Extensive Evaluation of Transformer-based Architectures for Adverse Drug Events Extraction | Jun 8, 2023 | Feature ImportancePharmacovigilance | CodeCode Available | 0 | 5 |
| Explaining word embeddings with perfect fidelity: Case study in research impact prediction | Sep 24, 2024 | ArticlesFeature Importance | CodeCode Available | 0 | 5 |
| A Detailed Study of Interpretability of Deep Neural Network based Top Taggers | Oct 9, 2022 | Explainable Artificial Intelligence (XAI)Feature Importance | CodeCode Available | 0 | 5 |
| Explain to Fix: A Framework to Interpret and Correct DNN Object Detector Predictions | Nov 19, 2018 | Computational EfficiencyFeature Importance | CodeCode Available | 0 | 5 |
| Towards Automatic Concept-based Explanations | Feb 7, 2019 | Feature Importance | CodeCode Available | 0 | 5 |
| A Multilinear Sampling Algorithm to Estimate Shapley Values | Oct 22, 2020 | BIG-bench Machine LearningFeature Importance | CodeCode Available | 0 | 5 |
| Explainable Post hoc Portfolio Management Financial Policy of a Deep Reinforcement Learning agent | Jul 19, 2024 | Deep Reinforcement LearningFeature Importance | CodeCode Available | 0 | 5 |
| Bayesian hierarchical models can infer interpretable predictions of leaf area index from heterogeneous datasets | Sep 23, 2021 | Feature Importance | CodeCode Available | 0 | 5 |
| A Debiased MDI Feature Importance Measure for Random Forests | Jun 26, 2019 | Feature Importancefeature selection | CodeCode Available | 0 | 5 |
| Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features | Apr 1, 2021 | Feature ImportancePrediction | CodeCode Available | 0 | 5 |
| Feature Importance Measure for Non-linear Learning Algorithms | Nov 22, 2016 | Feature ImportancePrediction | CodeCode Available | 0 | 5 |
| Automated Dynamic Bayesian Networks for Predicting Acute Kidney Injury Before Onset | Apr 20, 2023 | Feature Importance | CodeCode Available | 0 | 5 |
| Automated discovery of symbolic laws governing skill acquisition from naturally occurring data | Apr 8, 2024 | Feature ImportanceSymbolic Regression | CodeCode Available | 0 | 5 |
| AmorProt: Amino Acid Molecular Fingerprints Repurposing based Protein Fingerprint | Mar 27, 2023 | Feature Importance | CodeCode Available | 0 | 5 |
| Nonparametric IPSS: Fast, flexible feature selection with false discovery control | Oct 3, 2024 | Feature Importancefeature selection | CodeCode Available | 0 | 5 |
| An Annotated Corpus of Textual Explanations for Clinical Decision Support | Jun 1, 2022 | Explainable Artificial Intelligence (XAI)Feature Importance | CodeCode Available | 0 | 5 |
| Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation | Feb 13, 2024 | counterfactualCounterfactual Reasoning | CodeCode Available | 0 | 5 |
| Automated Clustering of High-dimensional Data with a Feature Weighted Mean Shift Algorithm | Dec 20, 2020 | ClusteringDenoising | CodeCode Available | 0 | 5 |
| Explaining and visualizing black-box models through counterfactual paths | Jul 15, 2023 | counterfactualExplainable Artificial Intelligence (XAI) | CodeCode Available | 0 | 5 |
| Explainable Data-driven Modeling of Adsorption Energy in Heterogeneous Catalysis | May 30, 2024 | Feature ImportanceSymbolic Regression | CodeCode Available | 0 | 5 |
| AutoLearn - Automated Feature Generation and Selection | Nov 17, 2017 | Automated Feature EngineeringFeature Engineering | CodeCode Available | 0 | 5 |
| Auto-Gait: Automatic Ataxia Risk Assessment with Computer Vision on Gait Task Videos | Mar 15, 2022 | Clinical KnowledgeFeature Importance | CodeCode Available | 0 | 5 |
| AutoAtlas: Neural Network for 3D Unsupervised Partitioning and Representation Learning | Oct 29, 2020 | Feature ImportanceRepresentation Learning | CodeCode Available | 0 | 5 |
| Explainability of Machine Learning Models under Missing Data | Jun 29, 2024 | Explainable artificial intelligenceFeature Importance | CodeCode Available | 0 | 5 |
| Explainable AI through a Democratic Lens: DhondtXAI for Proportional Feature Importance Using the D'Hondt Method | Nov 7, 2024 | Diabetes PredictionFeature Importance | CodeCode Available | 0 | 5 |
| Explainable Debugger for Black-box Machine Learning Models | Jul 18, 2021 | Anomaly DetectionBIG-bench Machine Learning | CodeCode Available | 0 | 5 |
| Altruist: Argumentative Explanations through Local Interpretations of Predictive Models | Oct 15, 2020 | BIG-bench Machine LearningFeature Importance | CodeCode Available | 0 | 5 |
| Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for Transformers | May 22, 2024 | Additive modelsFeature Importance | CodeCode Available | 0 | 5 |
| Exclusion and Inclusion -- A model agnostic approach to feature importance in DNNs | Jul 13, 2020 | Feature Importanceregression | CodeCode Available | 0 | 5 |
| Enhancing Interpretability and Generalizability in Extended Isolation Forests | Oct 9, 2023 | Anomaly DetectionFeature Importance | CodeCode Available | 0 | 5 |
| A tree-based varying coefficient model | Jan 11, 2024 | Feature Importancefeature selection | CodeCode Available | 0 | 5 |
| FairSHAP: Preprocessing for Fairness Through Attribution-Based Data Augmentation | May 16, 2025 | Data AugmentationFairness | CodeCode Available | 0 | 5 |
| A Benchmark for Interpretability Methods in Deep Neural Networks | Jun 28, 2018 | Feature Importanceimage-classification | CodeCode Available | 0 | 5 |
| Allowing humans to interactively guide machines where to look does not always improve human-AI team's classification accuracy | Apr 8, 2024 | Feature Importanceimage-classification | CodeCode Available | 0 | 5 |
| Evaluating Explainable Methods for Predictive Process Analytics: A Functionally-Grounded Approach | Dec 8, 2020 | BIG-bench Machine LearningFeature Importance | CodeCode Available | 0 | 5 |
| Evaluating Model Explanations without Ground Truth | May 15, 2025 | Feature Importancemodel | CodeCode Available | 0 | 5 |
| Explainable Deep-Learning Based Potentially Hazardous Asteroids Classification Using Graph Neural Networks | Apr 25, 2025 | Autonomous NavigationFeature Importance | CodeCode Available | 0 | 5 |
| Feature Importance Measurement based on Decision Tree Sampling | Jul 25, 2023 | Feature Importance | CodeCode Available | 0 | 5 |
| EFI: A Toolbox for Feature Importance Fusion and Interpretation in Python | Aug 8, 2022 | Feature Importance | CodeCode Available | 0 | 5 |
| Elastic Net based Feature Ranking and Selection | Dec 30, 2020 | Feature Importancefeature selection | CodeCode Available | 0 | 5 |
| A copula-based visualization technique for a neural network | Mar 27, 2020 | Decision MakingFeature Importance | CodeCode Available | 0 | 5 |
