Learn++: an incremental learning algorithm for supervised neural networks

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Gaussian ARTMAP: A Neural Network for Fast Incremental Learning of Noisy Multidimensional Maps

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Combinations of weak classifiers

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Incremental backpropagation learning networks

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Life-long learning Cell Structures—continuously learning without catastrophic interference

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An Incremental Adaptive Network for On-line Supervised Learning and Probability Estimation

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Incremental learning methods with retrieving of interfered patterns

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An effective neuro-fuzzy paradigm for machinery condition health monitoring

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Ellipsoid ART and ARTMAP for incremental clustering and classification

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Convergent on-line algorithms for supervised learning in neural networks

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Performance and efficiency: recent advances in supervised learning

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An incremental learning algorithm that optimizes network size and sample size in one trial

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INSS: A hybrid system for constructive machine learning

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RKHS-based functional analysis for exact incremental learning

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Incremental knowledge acquisition in supervised learning networks

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Rademacher penalization applied to fuzzy ARTMAP and boosted ARTMAP

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A clustering approach to incremental learning for feedforward neural networks

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A smart algorithm for incremental learning

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An heuristic pattern correction scheme for GRNNs and its application to speech recognition

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Incremental learning using the time delay neural network

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Incremental learning with rule-based neural networks

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Algorithms for enhancing pattern separability, feature selection and incremental learning with applications to gas sensing electronic nose systems

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Robust learning and identification of patterns in statistical process control charts using a hybrid RBF fuzzy ARTMAP neural network

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On-line learning using hierarchical mixtures of experts

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A training approach based on linear separability analysis for layered perceptrons

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iCaRL: Incremental Classifier and Representation Learning

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A survey on concept drift adaptation

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Continual lifelong learning with neural networks: A review

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Trojaning Attack on Neural Networks

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Ensemble learning for data stream analysis: A survey

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A Survey on Ensemble Learning for Data Stream Classification

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Measuring Catastrophic Forgetting in Neural Networks

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Incremental Learning of Object Detectors without Catastrophic Forgetting

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Incremental on-line learning: A review and comparison of state of the art algorithms

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An Appraisal of Incremental Learning Methods

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Federated Learning Empowered Real-Time Medical Data Processing Method for Smart Healthcare

Guo, K., Chen, T., Ren, S., Li, N., Hu, M., & Kang, J. (2024) · IEEE/ACM Transactions on Computational Biology and Bioinformatics · doi:10.1109/tcbb.2022.3185395 · Cited by 63 · see citing works

Incremental Reinforcement Learning in Continuous Spaces via Policy Relaxation and Importance Weighting

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Incremental supervised learning: Algorithms and applications in pattern recognition

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A Strategy for an Uncompromising Incremental Learner

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Incremental learning of concept drift in Multiple Instance Learning for industrial visual inspection

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Turning majority voting classifiers into a single decision tree

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Palmprint recognition with an efficient data driven ensemble classifier

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Experimental evaluation of two new GEP-based ensemble classifiers

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A Theoretical Analysis of the Limits of Majority Voting Errors for Multiple Classifier Systems

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A Theoretical Framework on the Ideal Number of Classifiers for Online Ensembles in Data Streams

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