LwF-ECG: Learning-without-forgetting approach for electrocardiogram heartbeat classification based on memory with task selector
Sign Up to like & getrecommendations! Published in 2021 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2021.104807
Abstract: Most existing Electrocardiogram (ECG) classification methods assume that all arrhythmia classes are known during the training phase. In this paper, the problem of learning several successive tasks is addressed, where, in each new task, there… read more here.
Keywords: classification; task; new task; without forgetting ... See more keywords
Multiple Types of Cancer Classification Using CT/MRI Images Based on Learning Without Forgetting Powered Deep Learning Models
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3240443
Abstract: Cancer is the second biggest cause of death worldwide, accounting for one of every six deaths. On the other hand, early detection of the disease significantly improves the chances of survival. The use of Artificial… read more here.
Keywords: learning without; learning models; deep learning; without forgetting ... See more keywords
Novel Category Discovery Without Forgetting for Automatic Target Recognition
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2024.3358449
Abstract: In this article, we explore a cutting-edge concept known as class incremental learning (CIL) in novel category discovery for synthetic aperture radar (SAR) targets (CNTs). This innovative task involves the challenge of identifying categories within… read more here.
Keywords: category; category discovery; discovery without; novel category ... See more keywords