| IGANN Sparse: Bridging Sparsity and Interpretability with Non-linear Insight | Mar 17, 2024 | Additive modelsfeature selection | CodeCode Available | 1 |
| Implicit Regularization via Neural Feature Alignment | Aug 3, 2020 | feature selectionModel Compression | CodeCode Available | 1 |
| Improving Sample and Feature Selection with Principal Covariates Regression | Dec 22, 2020 | feature selectionregression | CodeCode Available | 1 |
| Infinite Feature Selection: A Graph-based Feature Filtering Approach | Jun 15, 2020 | feature selection | CodeCode Available | 1 |
| Interpretable Deep Clustering for Tabular Data | Jun 7, 2023 | ClusteringDeep Clustering | CodeCode Available | 1 |
| Interpretable Time Series Classification using All-Subsequence Learning and Symbolic Representations in Time and Frequency Domains | Aug 12, 2018 | AllClassification | CodeCode Available | 1 |
| AudioMNIST: Exploring Explainable Artificial Intelligence for Audio Analysis on a Simple Benchmark | Jul 9, 2018 | Audio ClassificationDecision Making | CodeCode Available | 1 |
| IoTDevID: A Behavior-Based Device Identification Method for the IoT | Feb 17, 2021 | Data Augmentationfeature selection | CodeCode Available | 1 |
| Lightweight Attentional Feature Fusion: A New Baseline for Text-to-Video Retrieval | Dec 3, 2021 | Ad-hoc video searchfeature selection | CodeCode Available | 1 |
| An Effective Way for Cross-Market Recommendation with Hybrid Pre-Ranking and Ranking Models | Mar 2, 2022 | feature selectionRecommendation Systems | CodeCode Available | 1 |
