| Evolutionary Computation in Action: Feature Selection for Deep Embedding Spaces of Gigapixel Pathology Images | Mar 2, 2023 | Decision MakingEvolutionary Algorithms | —Unverified | 0 |
| Evolutionary Dynamic Optimization and Machine Learning | Oct 12, 2023 | DiversityEvolutionary Algorithms | —Unverified | 0 |
| Evolutionary quantum feature selection | Mar 13, 2023 | feature selection | —Unverified | 0 |
| Evolving Context-Aware Recommender Systems With Users in Mind | Jul 30, 2020 | feature selectionRecommendation Systems | —Unverified | 0 |
| Evolving Ensemble Fuzzy Classifier | May 18, 2017 | Drift DetectionEnsemble Learning | —Unverified | 0 |
| Evolving Fuzzy Image Segmentation with Self-Configuration | Apr 23, 2015 | feature selectionImage Segmentation | —Unverified | 0 |
| Examining stability of machine learning methods for predicting dementia at early phases of the disease | Sep 10, 2022 | feature selection | —Unverified | 0 |
| Examining the Classification Accuracy of TSVMs with ?Feature Selection in Comparison with the GLAD Algorithm | Jul 4, 2013 | ClassificationDiagnostic | —Unverified | 0 |
| Exclusive Feature Learning on Arbitrary Structures via _1,2-norm | Dec 1, 2014 | feature selection | —Unverified | 0 |
| Exclusive Sparsity Norm Minimization with Random Groups via Cone Projection | Oct 27, 2015 | feature selectionMulti-Task Learning | —Unverified | 0 |
| Expectation propagation on the diluted Bayesian classifier | Sep 20, 2020 | Binary Classificationfeature selection | —Unverified | 0 |
| Expected Divergence Based Feature Selection for Learning to Rank | Dec 1, 2012 | feature selectionLearning-To-Rank | —Unverified | 0 |
| Experimental Identification of Hard Data Sets for Classification and Feature Selection Methods with Insights on Method Selection | Mar 24, 2017 | Classificationfeature selection | —Unverified | 0 |
| Experimental Insights Towards Explainable and Interpretable Pedestrian Crossing Prediction | Dec 5, 2023 | Autonomous Drivingfeature selection | —Unverified | 0 |
| Expert System Based On Neural-Fuzzy Rules for Thyroid Diseases Diagnosis | Mar 3, 2014 | Classificationfeature selection | —Unverified | 0 |
| Explainable AI-aided Feature Selection and Model Reduction for DRL-based V2X Resource Allocation | Jan 23, 2025 | Deep Reinforcement LearningFeature Importance | —Unverified | 0 |
| Explainable AI for Enhancing Efficiency of DL-based Channel Estimation | Jul 9, 2024 | Autonomous Drivingfeature selection | —Unverified | 0 |
| Explainable AI for Suicide Risk Assessment Using Eye Activities and Head Gestures | Jun 10, 2022 | feature selection | —Unverified | 0 |
| Explainable Multi-class Classification of Medical Data | Dec 26, 2020 | BIG-bench Machine LearningClassification | —Unverified | 0 |
| Explainable Predictive Modeling for Limited Spectral Data | Feb 9, 2022 | feature selection | —Unverified | 0 |
| Exploiting the potential of deep reinforcement learning for classification tasks in high-dimensional and unstructured data | Dec 20, 2019 | Deep Reinforcement Learningfeature selection | —Unverified | 0 |
| Exploiting user-frequency information for mining regionalisms from Social Media texts | Jul 10, 2019 | feature selection | —Unverified | 0 |
| Explorative Data Analysis of Time Series based AlgorithmFeatures of CMA-ES Variants | Apr 16, 2021 | Clusteringfeature selection | —Unverified | 0 |
| Exploring and Learning in Sparse Linear MDPs without Computationally Intractable Oracles | Sep 18, 2023 | feature selectionLearning Theory | —Unverified | 0 |
| Exploring Coreference Features in Heterogeneous Data | Nov 1, 2020 | coreference-resolutionCoreference Resolution | —Unverified | 0 |
