| Pruning Deep Neural Networks using Partial Least Squares | Oct 17, 2018 | feature selection | CodeCode Available | 0 |
| Selecting Robust Features for Machine Learning Applications using Multidata Causal Discovery | Apr 11, 2023 | Causal DiscoveryDimensionality Reduction | CodeCode Available | 0 |
| GA-PARSIMONY: A GA-SVR approach with feature selection and parameter optimization to obtain parsimonious solutions for predicting temperature settings in a continuous annealing furnace | Oct 1, 2015 | feature selectionModel Selection | CodeCode Available | 0 |
| DeepLINK-T: deep learning inference for time series data using knockoffs and LSTM | Apr 5, 2024 | Deep Learningfeature selection | CodeCode Available | 0 |
| Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem | Jun 29, 2020 | feature selection | CodeCode Available | 0 |
| Fighting Spurious Correlations in Text Classification via a Causal Learning Perspective | Nov 1, 2024 | counterfactualCounterfactual Reasoning | CodeCode Available | 0 |
| Auto-WEKA: Combined Selection and Hyperparameter Optimization of Classification Algorithms | Aug 18, 2012 | Bayesian OptimizationBIG-bench Machine Learning | CodeCode Available | 0 |
| AutoSUM: Automating Feature Extraction and Multi-user Preference Simulation for Entity Summarization | May 25, 2020 | feature selectionWord Embeddings | CodeCode Available | 0 |
| PSO-PARSIMONY: A method for finding parsimonious and accurate machine learning models with particle swarm optimization. Application for predicting force–displacement curves in T-stub steel connections | Sep 1, 2023 | feature selectionHyperparameter Optimization | CodeCode Available | 0 |
| Classification of COVID-19 in Chest X-ray Images Using Fusion of Deep Features and LightGBM | Jun 9, 2022 | feature selection | CodeCode Available | 0 |
