Learning features while learning to classify: a cognitive model for autonomous systems
Sign Up to like & getrecommendations! Published in 2020 at "Computational and Mathematical Organization Theory"
DOI: 10.1007/s10588-018-9279-3
Abstract: We describe a computational cognitive model intended to be a generalizable classifier that can provide context-based feedback to semantic perception in robotic applications. Many classifiers (including cognitive models of categorization) perform well at the task… read more here.
Keywords: learning features; cognitive model; features learning; learning classify ... See more keywords
Can deep learning classify stroke subtypes from chest X-rays?
Sign Up to like & getrecommendations! Published in 2021 at "EBioMedicine"
DOI: 10.1016/j.ebiom.2021.103517
Abstract: Deep neural networks have been shown to diagnose and predict risk of disease based on medical imaging [1]. Chest radiographs (x-ray or CXR) present a tremendous opportunity for deep learning algorithms. They are one of… read more here.
Keywords: learning classify; cardioembolic stroke; classify stroke; deep learning ... See more keywords
Learning to classify from impure samples with high-dimensional data
Sign Up to like & getrecommendations! Published in 2018 at "Physical Review D"
DOI: 10.1103/physrevd.98.011502
Abstract: A persistent challenge in practical classification tasks is that labeled training sets are not always available. In particle physics, this challenge is surmounted by the use of simulations. These simulations accurately reproduce most features of… read more here.
Keywords: impure; high dimensional; learning classify; impure samples ... See more keywords
Learning to Classify DWDM Optical Channels from Tiny and Imbalanced Data
Sign Up to like & getrecommendations! Published in 2021 at "Entropy"
DOI: 10.3390/e23111504
Abstract: Applying machine learning algorithms for assessing the transmission quality in optical networks is associated with substantial challenges. Datasets that could provide training instances tend to be small and heavily imbalanced. This requires applying imbalanced compensation… read more here.
Keywords: class; one class; learning classify; classification algorithms ... See more keywords