| 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 |
| Catalog of quasars from the Kilo-Degree Survey Data Release 3 | Dec 7, 2018 | Feature 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 |
| Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses | Jan 8, 2025 | Binary ClassificationFeature Importance | CodeCode Available | 0 | 5 |
| Captum: A unified and generic model interpretability library for PyTorch | Sep 16, 2020 | Feature Importance | CodeCode Available | 0 | 5 |
| Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction | Jan 11, 2021 | Click-Through Rate PredictionComputational Efficiency | CodeCode Available | 0 | 5 |
| Explainability of Machine Learning Models under Missing Data | Jun 29, 2024 | Explainable artificial intelligenceFeature Importance | CodeCode Available | 0 | 5 |
| Distributed and parallel time series feature extraction for industrial big data applications | Oct 25, 2016 | Binary ClassificationClassification | CodeCode Available | 0 | 5 |
| Explaining and visualizing black-box models through counterfactual paths | Jul 15, 2023 | counterfactualExplainable Artificial Intelligence (XAI) | CodeCode Available | 0 | 5 |
| Can local explanation techniques explain linear additive models? | Sep 19, 2023 | Additive modelsExplanation Fidelity Evaluation | CodeCode Available | 0 | 5 |
