A joint autoencoder and classifier deep neural network for AD and MCI classification
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.23054
Abstract: In this article, we present a new approach to distinguish progressive mild cognitively impaired (pMCI) subjects, who eventually develop Alzheimer's disease (AD) from stable MCI (sMCI) subjects whose situation does not deteriorate into AD. The… read more here.
Keywords: classification; jacdnn; classifier deep; autoencoder classifier ... See more keywords
Learning Output Relevant Features by Joint Autoencoder.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2022.3185588
Abstract: Classical regression is a supervised task that uses target output to guide the modeling. Generally, the original input contains both output relevant and irrelevant information, whereas the latter may decrease the predictive performance to a… read more here.
Keywords: predictive performance; output; joint autoencoder; output relevant ... See more keywords