{"total":21,"rows":[{"id":"2212.12343","title":"The choice of scaling technique matters for classification performance","created":"2022-12-23","cited_by_count":25,"area":null},{"id":"2211.11281","title":"Intelligent Computing: The Latest Advances, Challenges and Future","created":"2022-11-21","cited_by_count":6,"area":null},{"id":"2202.05685","title":"SuperCon: Supervised Contrastive Learning for Imbalanced Skin Lesion Classification","created":"2022-02-11","cited_by_count":4,"area":null},{"id":"2201.06721","title":"Selecting and combining complementary feature representations and classifiers for hate speech detection","created":"2022-01-18","cited_by_count":3,"area":null},{"id":"2509.16893","title":"DRES: Fake news detection by dynamic representation and ensemble selection","created":"2025-09-21","cited_by_count":3,"area":null},{"id":"2309.14307","title":"A post-selection algorithm for improving dynamic ensemble selection methods","created":"2023-09-25","cited_by_count":2,"area":null},{"id":"2506.20814","title":"Divide, Specialize, and Route: A New Approach to Efficient Ensemble Learning","created":"2025-06-25","cited_by_count":2,"area":null},{"id":"2211.16884","title":"Context-Aware Ensemble Learning for Time Series","created":"2022-11-30","cited_by_count":1,"area":null},{"id":"2410.04520","title":"Regularized Neural Ensemblers","created":"2024-10-06","cited_by_count":1,"area":null},{"id":"2602.21766","title":"RAMSeS: Robust and Adaptive Model Selection for Time-Series Anomaly Detection Algorithms","created":"2026-02-25","cited_by_count":1,"area":null},{"id":"2205.10438","title":"Dynamic Ensemble Selection Using Fuzzy Hyperboxes","created":"2022-05-20","cited_by_count":0,"area":null},{"id":"2206.08455","title":"Local overlap reduction procedure for dynamic ensemble selection","created":"2022-06-16","cited_by_count":0,"area":null},{"id":"2304.10284","title":"A Meta-heuristic Approach to Estimate and Explain Classifier Uncertainty","created":"2023-04-20","cited_by_count":0,"area":null},{"id":"2309.10553","title":"Hybrid State Space-based Learning for Sequential Data Prediction with Joint Optimization","created":"2023-09-19","cited_by_count":0,"area":null},{"id":"2311.12686","title":"Continuous Management of Machine Learning-Based Application Behavior","created":"2023-11-21","cited_by_count":0,"area":null},{"id":"2407.07528","title":"MLRS-PDS: A Meta-learning recommendation of dynamic ensemble selection pipelines","created":"2024-07-10","cited_by_count":0,"area":null},{"id":"2601.10024","title":"BPE: Behavioral Profiling Ensemble","created":"2026-01-15","cited_by_count":0,"area":null},{"id":"2605.20892","title":"FruitEnsemble: MLLM-Guided Arbitration for Heterogeneous ensemble in Fine-Grained Fruit Recognition","created":"2026-05-20","cited_by_count":0,"area":null},{"id":"2606.04161","title":"When Offline Selectors Cannot Beat the Best Single Model: A Diagnostic Study on edX Dropout Prediction","created":"2026-06-02","cited_by_count":0,"area":null},{"id":"2607.20151","title":"Multi-stage Dynamic Selection for Cross-Project Defect Prediction","created":"2026-07-22","cited_by_count":0,"area":null},{"id":"2609.31031","title":"Metacognitive Selective Ensemble for Mobile Systems","created":"2026-09-25","cited_by_count":0,"area":null}],"next_cursor":null}