{"total":14,"rows":[{"id":"2104.02395","title":"Ensemble deep learning: A review","created":"2021-04-06","cited_by_count":284,"area":null},{"id":"2102.01623","title":"Adversarial Tracking Control via Strongly Adaptive Online Learning with Memory","created":"2021-02-02","cited_by_count":14,"area":null},{"id":"2102.09305","title":"Boosting for Online Convex Optimization","created":"2021-02-18","cited_by_count":11,"area":null},{"id":"2106.13539","title":"Dealing with Expert Bias in Collective Decision-Making","created":"2021-06-25","cited_by_count":4,"area":null},{"id":"2205.15113","title":"Online Agnostic Multiclass Boosting","created":"2022-05-30","cited_by_count":3,"area":null},{"id":"2112.03723","title":"Shrub Ensembles for Online Classification","created":"2021-12-07","cited_by_count":1,"area":null},{"id":"2409.04069","title":"Online Residual Learning from Offline Experts for Pedestrian Tracking","created":"2024-09-06","cited_by_count":1,"area":null},{"id":"2410.03363","title":"Minimax-optimal and Locally-adaptive Online Nonparametric Regression","created":"2024-10-04","cited_by_count":1,"area":null},{"id":"2509.18962","title":"Lift What You Can: Green Online Learning with Heterogeneous Ensembles","created":"2025-09-23","cited_by_count":1,"area":null},{"id":"2207.06025","title":"URANUS: Radio Frequency Tracking, Classification and Identification of Unmanned Aircraft Vehicles","created":"2022-07-13","cited_by_count":0,"area":null},{"id":"2408.07897","title":"The Nah Bandit: Modeling User Non-compliance in Recommendation Systems","created":"2024-08-15","cited_by_count":0,"area":null},{"id":"2509.18013","title":"Fr\\'echet Geodesic Boosting","created":"2025-09-22","cited_by_count":0,"area":null},{"id":"2603.17548","title":"CLeAN: Continual Learning Adaptive Normalization in Dynamic Environments","created":"2026-03-18","cited_by_count":0,"area":null},{"id":"2608.13554","title":"Defensive Boosting for Online Probabilistic Forecasting","created":"2026-08-13","cited_by_count":0,"area":null}],"next_cursor":null}