| Do We Really Need Imputation in AutoML Predictive Modeling? | Apr 12, 2024 | Automatic Machine Learning Model SelectionAutoML | CodeCode Available | 0 | 5 |
| Decoding Cognitive Health Using Machine Learning: A Comprehensive Evaluation for Diagnosis of Significant Memory Concern | May 11, 2024 | Alzheimer's Disease Detectionfeature selection | CodeCode Available | 0 | 5 |
| D-Cube: Exploiting Hyper-Features of Diffusion Model for Robust Medical Classification | Nov 17, 2024 | Contrastive LearningDiagnostic | CodeCode Available | 0 | 5 |
| DebiNet: Debiasing Linear Models with Nonlinear Overparameterized Neural Networks | Nov 1, 2020 | feature selectionvalid | CodeCode Available | 0 | 5 |
| DeepChess: End-to-End Deep Neural Network for Automatic Learning in Chess | Nov 27, 2017 | feature selectionGame of Chess | CodeCode Available | 0 | 5 |
| From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection | May 9, 2025 | Decision Makingfeature selection | CodeCode Available | 0 | 5 |
| Adversarial Feature Selection against Evasion Attacks | May 25, 2020 | feature selectionMalware Detection | CodeCode Available | 0 | 5 |
| Fully Bayesian Logistic Regression with Hyper-Lasso Priors for High-dimensional Feature Selection | May 13, 2014 | feature selectionregression | CodeCode Available | 0 | 5 |
| A novel evaluation methodology for supervised Feature Ranking algorithms | Jul 9, 2022 | BenchmarkingFeature Importance | CodeCode Available | 0 | 5 |
| A novel embedded min-max approach for feature selection in nonlinear support vector machine classification | Apr 21, 2020 | Classificationfeature selection | CodeCode Available | 0 | 5 |
