| An Autoencoder and Generative Adversarial Networks Approach for Multi-Omics Data Imbalanced Class Handling and Classification | May 16, 2024 | Dimensionality Reductionfeature selection | —Unverified | 0 |
| An Automated Machine Learning (AutoML) Method for Driving Distraction Detection Based on Lane-Keeping Performance | Mar 10, 2021 | AutoMLBayesian Optimization | —Unverified | 0 |
| An Effective Entropy-assisted Mind-wandering Detection System with EEG Signals based on MM-SART Database | May 25, 2020 | channel selectionEEG | —Unverified | 0 |
| An Effective Feature Selection Method Based on Pair-Wise Feature Proximity for High Dimensional Low Sample Size Data | Aug 8, 2017 | feature selection | —Unverified | 0 |
| An Investigation of Feature Selection and Transfer Learning for Writer-Independent Offline Handwritten Signature Verification | Oct 19, 2020 | feature selectionPlaying the Game of 2048 | —Unverified | 0 |
| An Efficient and Accurate Rough Set for Feature Selection, Classification and Knowledge Representation | Dec 29, 2021 | Attributefeature selection | —Unverified | 0 |
| An Efficient Binary Harris Hawks Optimization based on Quantum SVM for Cancer Classification Tasks | Feb 24, 2022 | Cancer Classificationfeature selection | —Unverified | 0 |
| An Efficient Feature Selection in Classification of Audio Files | Mar 24, 2014 | AttributeClassification | —Unverified | 0 |
| An Efficient Framework for Automated Screening of Clinically Significant Macular Edema | Jan 20, 2020 | feature selectionSegmentation | —Unverified | 0 |
| An Efficient High-Dimensional Gene Selection Approach based on Binary Horse Herd Optimization Algorithm for Biological Data Classification | Aug 18, 2023 | feature selection | —Unverified | 0 |
| An efficient hybrid classification approach for COVID-19 based on Harris Hawks Optimization and Salp Swarm Optimization | Dec 25, 2022 | feature selection | —Unverified | 0 |
| An efficient hybrid deep learning approach for internet security | Aug 20, 2019 | Deep Learningfeature selection | —Unverified | 0 |
| An Efficient Multi-Step Framework for Malware Packing Identification | Aug 17, 2022 | feature selectionMalware Analysis | —Unverified | 0 |
| Building an Efficient Intrusion Detection System Based on Feature Selection and Ensemble Classifier | Apr 2, 2019 | Anomaly DetectionDimensionality Reduction | —Unverified | 0 |
| Anomaly Detection Based on Indicators Aggregation | Sep 16, 2014 | Anomaly Detectionfeature selection | —Unverified | 0 |
| Active Sampler: Light-weight Accelerator for Complex Data Analytics at Scale | Dec 12, 2015 | feature selection | —Unverified | 0 |
| An Efficient Real Time DDoS Detection Model Using Machine Learning Algorithms | Jan 24, 2025 | feature selection | —Unverified | 0 |
| Adaptability of Improved NEAT in Variable Environments | Oct 22, 2021 | feature selection | —Unverified | 0 |
| An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training | Jun 7, 2022 | Computational EfficiencyData Augmentation | —Unverified | 0 |
| A fuzzy adaptive evolutionary-based feature selection and machine learning framework for single and multi-objective body fat prediction | Mar 20, 2023 | feature selectionHybrid Machine Learning | —Unverified | 0 |
| An empirical evaluation for the intrusion detection features based on machine learning and feature selection methods | Dec 27, 2017 | BIG-bench Machine Learningfeature selection | —Unverified | 0 |
| An Empirical Study on Predictability of Software Code Smell Using Deep Learning Models | Aug 8, 2021 | Deep Learningfeature selection | —Unverified | 0 |
| An Empirical Study on the Joint Impact of Feature Selection and Data Re-sampling on Imbalance Classification | Sep 1, 2021 | ClassificationDimensionality Reduction | —Unverified | 0 |
| An enhanced computational feature selection method for medical synonym identification via bilingualism and multi-corpus training | Dec 5, 2018 | feature selection | —Unverified | 0 |
| An Amalgamation of Classical and Quantum Machine Learning For the Classification of Adenocarcinoma and Squamous Cell Carcinoma Patients | Oct 29, 2018 | BIG-bench Machine Learningfeature selection | —Unverified | 0 |