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A Survey on Semi-supervised Learning for Delayed Partially Labelled Data Streams
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Delayed labelling evaluation for data streams
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A survey on semi-supervised learning
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Statistical Learning Theory: Models, Concepts, and Results
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A Framework for Clustering Evolving Data Streams
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Online Transfer Learning
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Online reliable semi-supervised learning on evolving data streams
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Learning from concept drifting data streams with unlabeled data
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Probabilistic regressor chains with Monte Carlo methods
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Continual lifelong learning with neural networks: A review
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Incremental semi-supervised learning on streaming data
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Advances in neural information processing systems 7
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Evaluating Learning Algorithms
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The Nature of Statistical Learning Theory
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Cross recurrence quantification for cover song identification
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Clarifying missing at random and related definitions, and implications when coupled with exchangeability: Table 1.
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inferredcites →https://doi.org/10.1109/bigdata.2017.8257930openalex-snapshot
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C-SMOTE: Continuous Synthetic Minority Oversampling for Evolving Data Streams
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00534openalex-snapshot
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inferredcites →https://doi.org/10.1109/hpcc-smartcity-dss50907.2020.00018openalex-snapshot
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inferredcites →https://doi.org/10.1109/icdm.2001.989572openalex-snapshot
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inferredcites →https://doi.org/10.1109/icdm.2007.101openalex-snapshot
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inferredcites →https://doi.org/10.1109/icdm.2008.152openalex-snapshot
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inferredcites →https://doi.org/10.1109/icdm.2009.76openalex-snapshot
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inferredcites →https://doi.org/10.1109/icsmc.2005.1571498openalex-snapshot
Online Bagging and Boosting
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Performance measures for evolving predictions under delayed labelling classification
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Learning in Nonstationary Environments: A Survey
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Representation Learning: A Review and New Perspectives
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Fast Unsupervised Online Drift Detection Using Incremental Kolmogorov-Smirnov Test
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Nonlinear Time Series Analysis
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Entropy Regularization
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Supervised Learning from Data Streams: An Overview and Update
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Data-Centric Dual-Layer Adversarial Learning for Fraud Detection under Label Delay and Concept Drift
inferred← citeshttps://doi.org/10.1145/3770855.3817951openalex-snapshot
Online Learning for Wild Streaming Data with Delayed Feedback
inferred← citeshttps://doi.org/10.1145/3829441.3829618openalex-snapshot
SlessTrain: Adaptive Serverless-Orchestrated Distributed Training and Inference for Online Machine Learning Workloads
inferred← citeshttps://doi.org/10.11606/t.55.2023.tde-30082023-135843openalex-snapshot
Efficient online tree, rule-based and distance-based algorithms
inferred← citeshttps://doi.org/10.21203/rs.3.rs-9763598/v1openalex-snapshot
A Systematic Literature Review on Multi-label Data Stream Classification
inferred← citeshttps://doi.org/10.2139/ssrn.6839366openalex-snapshot
Adaptive Online Credit Scoring under Delayed and Selective Labels: A Dual-Engine Streaming Architecture for BNPL/POS Lending
inferred← citeshttps://doi.org/10.24963/ijcai.2023/743openalex-snapshot
Survey on Online Streaming Continual Learning
inferred← citeshttps://doi.org/10.33077/uw.24511617.sm.2024.1.761openalex-snapshot
Identification of Vortex Information. Detection of fake news eruption time
inferred← citeshttps://doi.org/10.3390/app122312163openalex-snapshot
Learning Deep Representations of Cardiac Structures for 4D Cine MRI Image Segmentation through Semi-Supervised Learning
inferred← citeshttps://doi.org/10.3390/electronics14061110openalex-snapshot
The Role of Machine Learning in AR/VR-Based Cognitive Therapies: A Systematic Review for Mental Health Disorders
inferred← citeshttps://doi.org/10.3390/foods14244255openalex-snapshot
Prediction of Esterification and Antioxidant Properties of Food-Derived Fatty Acids and Ascorbic Acid Based on Machine Learning: A Review
inferred← citeshttps://doi.org/10.3390/informatics13010015openalex-snapshot
Sensor-Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation
inferred← citeshttps://doi.org/10.3390/machines13040304openalex-snapshot
A Cyber Manufacturing IoT System for Adaptive Machine Learning Model Deployment by Interactive Causality-Enabled Self-Labeling
inferred← citeshttps://doi.org/10.3390/math11020355openalex-snapshot
A Semisupervised Concept Drift Adaptation via Prototype-Based Manifold Regularization Approach with Knowledge Transfer
inferred← citeshttps://doi.org/10.34768/amcs-2023-0030openalex-snapshot
Semi-supervised vs. supervised learning for mental health monitoring: A case study on bipolar disorder
inferred← citeshttps://doi.org/10.5753/eniac.2025.13905openalex-snapshot
A Robust Pseudo-label Reevaluation Strategy for the Self-training Algorithm
inferred← citeshttps://doi.org/10.70675/173d7e4fz2dcdz49d1z846cz5fe2ba50424aopenalex-snapshot
Online machine learning-based predictive maintenance for the railway industry
inferred← citeshttps://doi.org/10.70675/bee40239z04e9z4bedz9dafz562ce0fcc4c1openalex-snapshot
Intelligence Artificielle Responsable : Conception de Cadres pour des Pratiques Éthiques, Durables et Conscientes des Risques
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.