Few-Shot Class-Incremental Learning with Dynamic Prototype Refinement for Brain Activity Classification.
Sign Up to like & getrecommendations! Published in 2025 at "IEEE journal of biomedical and health informatics"
DOI: 10.1109/jbhi.2025.3605108
Abstract: The brain-computer interface (BCI) system facilitates efficient communication and control, with Electroencephalography (EEG) signals as a vital component. Traditional EEG signal classification, based on static deep-learning models, presents a challenge when new classes of the… read more here.
Keywords: brain activity; shot class; brain; activity classification ... See more keywords
Adaptive-Prompt-Driven Few-Shot Class-Incremental Learning for Human Activity Recognition With Radar Modality
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2025.3600386
Abstract: Human activity recognition (HAR) has attracted growing interest due to its wide ranging applications in healthcare, security, and smart surveillance. In particular, radar-based HAR offers a robust, noncontact alternative to conventional sensor based methods. Despite… read more here.
Keywords: human activity; shot class; class incremental; radar ... See more keywords
Class-Aware Prompting for Federated Few-Shot Class-Incremental Learning
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2025.3551612
Abstract: Few-Shot Class-Incremental Learning (FSCIL) aims to continuously learn new classes from limited samples while preventing catastrophic forgetting. With the increasing distribution of learning data across different clients and privacy concerns, FSCIL faces a more realistic… read more here.
Keywords: shot class; class incremental; federated shot; class ... See more keywords
Few-Shot Class-Incremental SAR Target Recognition Based on Hierarchical Embedding and Incremental Evolutionary Network
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3248040
Abstract: It is difficult to realize effective synthetic aperture radar (SAR) automatic target recognition (ATR) in open scenarios because the ATR model cannot continuously learn from new classes with limited training samples. When adding new classes… read more here.
Keywords: incremental sar; class incremental; hierarchical embedding; sar ... See more keywords
Memorizing Complementation Network for Few-Shot Class-Incremental Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2023.3236160
Abstract: Few-shot Class-Incremental Learning (FSCIL) aims at learning new concepts continually with only a few samples, which is prone to suffer the catastrophic forgetting and overfitting problems. The inaccessibility of old classes and the scarcity of… read more here.
Keywords: shot class; memorizing complementation; incremental learning; class incremental ... See more keywords
Bias to Balance: New-Knowledge-Preferred Few-Shot Class-Incremental Learning via Transition Calibration
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2025.3550429
Abstract: Humans can quickly learn new concepts with limited experience, while not forgetting learned knowledge. Such ability in machine learning is referred to as few-shot class-incremental learning (FSCIL). Although some methods try to solve this problem… read more here.
Keywords: shot class; class incremental; knowledge; transition ... See more keywords
A Few-Shot Class-Incremental Learning Method for Network Intrusion Detection
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Network and Service Management"
DOI: 10.1109/tnsm.2023.3332284
Abstract: With the rapid development of information technologies, the security of cyberspace has become increasingly serious. Network intrusion detection is a practical scheme to protect network systems from cyber attacks. However, as new vulnerabilities and unknown… read more here.
Keywords: detection; shot class; intrusion detection; network intrusion ... See more keywords
Dynamic Support Network for Few-Shot Class Incremental Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2022.3175849
Abstract: Few-shot class-incremental learning (FSCIL) is challenged by catastrophically forgetting old classes and over-fitting new classes. Revealed by our analyses, the problems are caused by feature distribution crumbling, which leads to class confusion when continuously embedding… read more here.
Keywords: network; class; incremental learning; class incremental ... See more keywords
A single fast Hebbian-like process enabling one-shot class addition in deep neural networks without backbone modification
Sign Up to like & getrecommendations! Published in 2024 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2024.1344114
Abstract: One-shot learning, the ability to learn a new concept from a single instance, is a distinctive brain function that has garnered substantial interest in machine learning. While modeling physiological mechanisms poses challenges, advancements in artificial… read more here.
Keywords: neuroscience; shot class; one shot; class addition ... See more keywords