Deep multiple instance selection
Sign Up to like & getrecommendations! Published in 2021 at "Science China Information Sciences"
DOI: 10.1007/s11432-020-3117-3
Abstract: Multiple instance learning (MIL) assigns a single class label to a bag of instances tailored for some real-world applications such as drug activity prediction. Classical MIL methods focus on figuring out interested instances, that is,… read more here.
Keywords: selection deep; multiple instance; selection; instance selection ... See more keywords
Surrogate-Assisted and Filter-Based Multiobjective Evolutionary Feature Selection for Deep Learning.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3234629
Abstract: Feature selection (FS) for deep learning prediction models is a difficult topic for researchers to tackle. Most of the approaches proposed in the literature consist of embedded methods through the use of hidden layers added… read more here.
Keywords: selection deep; surrogate assisted; deep learning; feature selection ... See more keywords