Ensemble classification from deep predictions with test data augmentation
Sign Up to like & getrecommendations! Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-019-03976-7
Abstract: Data augmentation has become a standard step to improve the predictive power and robustness of convolutional neural networks by means of the synthetic generation of new samples depicting different deformations. This step has been traditionally… read more here.
Keywords: augmentation; data augmentation; deep predictions; classification deep ... See more keywords
Detecting Human Emotions in a Large Size of Database by Using Ensemble Classification Model
Sign Up to like & getrecommendations! Published in 2018 at "Mobile Networks and Applications"
DOI: 10.1007/s11036-018-1074-3
Abstract: One of the most challenging researches in the field of Human-Computer Interaction (HCI) is Speech Emotion Recognition (SER). Several factors affect to the classification result. For example, the accuracy of detecting emotion depends on type… read more here.
Keywords: classification; ensemble classification; speech; model ... See more keywords
An Ensemble Classification Algorithm Based on Information Entropy for Data Streams
Sign Up to like & getrecommendations! Published in 2019 at "Neural Processing Letters"
DOI: 10.1007/s11063-019-09995-7
Abstract: Data stream mining has attracted much attention from scholars. In recent researches, ensemble classification has been wide aplied in concept drift detection; however, most of them regard classification accuracy as a criterion for judging whether… read more here.
Keywords: based information; information entropy; ensemble classification; classification ... See more keywords
A novel adaptive ensemble classification framework for ADME prediction
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DOI: 10.1039/c8ra01206g
Abstract: It has now become clear that in silico prediction of ADME (absorption, distribution, metabolism, and elimination) characteristics is an important component of the drug discovery process. Therefore, there has been considerable interest in the development… read more here.
Keywords: ensemble classification; adme prediction; adme; novel adaptive ... See more keywords
Ensemble classification combining ResNet and handcrafted features with three-steps training
Sign Up to like & getrecommendations! Published in 2022 at "Physiological Measurement"
DOI: 10.1088/1361-6579/ac8f12
Abstract: Objective. This work presents an ECG classifier for variable leads as a contribution to the Computing in Cardiology Challenge/CinC Challenge 2021. It aims to integrate deep and classic machine learning features into a single model,… read more here.
Keywords: handcrafted features; classification; resnet; ensemble classification ... See more keywords
A storage-efficient ensemble classification using filter sharing on binarized convolutional neural networks
Sign Up to like & getrecommendations! Published in 2022 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.924
Abstract: This paper proposes a storage-efficient ensemble classification to overcome the low inference accuracy of binary neural networks (BNNs). When external power is enough in a dynamic powered system, classification results can be enhanced by aggregating… read more here.
Keywords: neural networks; classification; ensemble classification; storage efficient ... See more keywords