| Augmented Functional Random Forests: Classifier Construction and Unbiased Functional Principal Components Importance through Ad-Hoc Conditional Permutations | Aug 23, 2024 | ClassificationFeature Importance | —Unverified | 0 | 0 |
| Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis | Dec 14, 2023 | Dimensionality ReductionFeature Importance | —Unverified | 0 | 0 |
| Automated Speech Scoring System Under The Lens: Evaluating and interpreting the linguistic cues for language proficiency | Nov 30, 2021 | Feature Importanceregression | —Unverified | 0 | 0 |
| Automatic Componentwise Boosting: An Interpretable AutoML System | Sep 12, 2021 | AutoMLFeature Importance | —Unverified | 0 | 0 |
| Automatic prediction of mortality in patients with mental illness using electronic health records | Oct 18, 2023 | Feature Importance | —Unverified | 0 | 0 |
| A XGBoost risk model via feature selection and Bayesian hyper-parameter optimization | Jan 24, 2019 | ClusteringFeature Importance | —Unverified | 0 | 0 |
| Axiomatic Aggregations of Abductive Explanations | Sep 29, 2023 | Feature Importancevalid | —Unverified | 0 | 0 |
| Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability | Jun 16, 2022 | BenchmarkingFeature Importance | —Unverified | 0 | 0 |
| Benchmarking the Fidelity and Utility of Synthetic Relational Data | Oct 4, 2024 | BenchmarkingFeature Importance | —Unverified | 0 | 0 |
| Better Model Selection with a new Definition of Feature Importance | Sep 16, 2020 | Explainable artificial intelligenceExplainable Artificial Intelligence (XAI) | —Unverified | 0 | 0 |
