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Keyword

data stream learning

Description: Machine-learning methods that incrementally learn from continuously arriving data, adapting models to changing patterns while processing observations over time.
OpenAlex ID: keywords/data-stream-learning
iCaRL: Incremental Classifier and Representation Learning
2017 · Sylvestre-Alvise Rebuffi, Alexander Kolesnikov, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 3,978
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Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy
2017 · Andrea Dal Pozzolo, Giacomo Boracchi, et al. · IEEE Transactions on Neural Networks and Learning Systems · 688
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Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: A Survey
2019 · Igor Škrjanc, Jose Antonio Iglesias, et al. · Information Sciences · 330
Machine learning for streaming data
2019 · Heitor Murilo Gomes, Jesse Read, et al. · ACM SIGKDD Explorations Newsletter · 268
Incremental Learning From Stream Data
2011 · Haibo He, Sheng Chen, et al. · IEEE Transactions on Neural Networks · 191
A survey on machine learning for recurring concept drifting data streams
2022 · Andrés L. Suárez-Cetrulo, David Quintana, et al. · Expert Systems with Applications · 157
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Ensemble of subset online sequential extreme learning machine for class imbalance and concept drift
2014 · Bilal Mirza, Zhiping Lin, et al. · Neurocomputing · 154
The hybrid technique for DDoS detection with supervised learning algorithms
2019 · Soodeh Hosseini, Mehrdad Azizi · Computer Networks · 132
DEVDAN: deep evolving denoising autoencoder
2020 · Ashfahani, A., Pratama, M., et al. · UniSA Research Outputs Repository (University of South Australia) · 119
ElStream: An Ensemble Learning Approach for Concept Drift Detection in Dynamic Social Big Data Stream Learning
2021 · Ahmad Abbasi, Abdul Rehman Javed, et al. · IEEE Access · 118
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Online Extra Trees Regressor
2022 · Saulo Martiello Mastelini, Felipe Kenji Nakano, et al. · IEEE Transactions on Neural Networks and Learning Systems · 101
Online reliable semi-supervised learning on evolving data streams
2020 · Salah Ud Din, Junming Shao, et al. · Information Sciences · 97
A dynamic split-and-merge approach for evolving cluster models
2012 · Edwin Lughofer · Evolving Systems · 85
PCR: Proxy-Based Contrastive Replay for Online Class-Incremental Continual Learning
2023 · Huiwei Lin, Baoquan Zhang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 83
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Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency
2022 · Yanan Gu, Xu Yang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 81
Learning With Feature Evolvable Streams
2019 · Bo-Jian Hou, Lijun Zhang, et al. · IEEE Transactions on Knowledge and Data Engineering · 80
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ScaIL: Classifier Weights Scaling for Class Incremental Learning
2020 · Eden Belouadah, Adrian Popescu · IEEE Winter Conference on Applications of Computer Vision · 75
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Selection-based resampling ensemble algorithm for nonstationary imbalanced stream data learning
2018 · Siqi Ren, Wen Zhu, et al. · Knowledge-Based Systems · 71
Detecting cyberattacks in industrial control systems using online learning algorithms
2019 · Guangxia Li, Yulong Shen, et al. · Neurocomputing · 70
Uninorm based evolving neural networks and approximation capabilities
2013 · Fernando Bordignon, Fernando Gomide · Neurocomputing · 69
Online Prototype Learning for Online Continual Learning
2023 · Yujie Wei, Jiaxin Ye, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 66
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Learning data streams online — An evolving fuzzy system approach with self-learning/adaptive thresholds
2019 · Dongjiao Ge, Xiao-Jun Zeng · Information Sciences · 63
Adaptive Cost-Sensitive Online Classification
2018 · Peilin Zhao, Yifan Zhang, et al. · IEEE Transactions on Knowledge and Data Engineering · 63
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Similarity-Preserving Linkage Hashing for Online Image Retrieval
2020 · Mingbao Lin, Rongrong Ji, et al. · IEEE Transactions on Image Processing · 61
Multi-label classification via label correlation and first order feature dependance in a data stream
2019 · Tien Thanh Nguyen, Thi Thu Thuy Nguyen, et al. · Pattern Recognition · 60
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Works count: 375
Citation count: 9,509
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