Treffer 1 - 20
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Learning Contrastive Evolving Micro-Clusters for Robust Semi-Supervised Data Stream Classification
Wang, H. ; Wu, Z. ; Guo, J. ; et al.
IEEE Transactions on Cybernetics IEEE Trans. Cybern. Cybernetics, IEEE Transactions on. 56(1):334-346 Jan, 2026
Online Transient Stability Assessment Under Concept Drift: An ARF-Method-Assisted Federated Learning for Data Streams
Massaoudi, M. ; Ez Eddin, M. ; Abu-Rub, H. ; et al.
IEEE Internet of Things Journal IEEE Internet Things J. Internet of Things Journal, IEEE. 12(18):37777-37789 Sep, 2025
Combining Active Learning and Self-Labeling for Deep Learning from Data Streams
Wasilewski, Jan ; Wozniak, Michal ; Krawczyk, Bartosz
2024 IEEE International Conference on Data Mining Workshops (ICDMW) ICDMW Data Mining Workshops (ICDMW), 2024 IEEE International Conference on. :842-849 Dec, 2024
MAcPNN: Mutual Assisted Learning on Data Streams with Temporal Dependence
Giannini, Federico ; Valle, Emanuele Della
2024 IEEE International Conference on Big Data (BigData) Big Data (BigData), 2024 IEEE International Conference on. :890-899 Dec, 2024
Adaptive Learning in Imbalanced Data Streams With Unpredictable Feature Evolution
Tu, J. ; Tang, X. ; Gu, S. ; et al.
IEEE Transactions on Knowledge and Data Engineering IEEE Trans. Knowl. Data Eng. Knowledge and Data Engineering, IEEE Transactions on. 37(4):1527-1541 Apr, 2025
ℓ1,2-Norm and CUR Decomposition based Sparse Online Active Learning for Data Streams with Streaming Features
Chen, Zhong ; He, Yi ; Wu, Di ; et al.
2024 IEEE International Conference on Big Data (BigData) Big Data (BigData), 2024 IEEE International Conference on. :384-393 Dec, 2024
A Study of Virtual Concept Drift in Federated Data Stream Learning
Chen, Xiaoting ; Zhang, Tengsen ; Yang, Guanhui ; et al.
2024 20th International Conference on Mobility, Sensing and Networking (MSN) MSN Mobility, Sensing and Networking (MSN), 2024 20th International Conference on. :1082-1087 Dec, 2024
Fairness Aware Swarm-based Machine Learning for Data Streams
35th Artificial intelligence Australasian joint conference, AI
Pham, Diem ; Tran, Binh ; Nguyen, Su ; et al.
Lecture notes in computer science. 13728:205-219
Dynamic Forest for Learning from Data Streams with Varying Feature Spaces
29th International conference on cooperative informative systems
Schreckenberger, Christian ; Bartelt, Christian ; Stuckenschmidt, Heiner
Lecture notes in computer science. 13591:95-111
A Semi-Supervised Active Learning Neural Network for Data Streams With Concept Drift
Jiao, B. ; Gomes, H.M. ; Xue, B. ; et al.
IEEE Computational Intelligence Magazine IEEE Comput. Intell. Mag. Computational Intelligence Magazine, IEEE. 20(1):18-33 Feb, 2025