A Deep Convolutional Neural Network Model for Classification of Emotions from Electroencephalography Data
Version 2 2024-06-06, 01:39Version 2 2024-06-06, 01:39
Version 1 2022-01-11, 10:58Version 1 2022-01-11, 10:58
conference contribution
posted on 2024-06-06, 01:39 authored by Rakesh Veerabhadrappa, Imali HettiarachchiImali Hettiarachchi, My Algumaei, Asim BhattiAsim BhattiA Deep Convolutional Neural Network Model for Classification of Emotions from Electroencephalography Data
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Pagination
1-6Location
Melbourne, Vic.Start date
2021-10-17End date
2021-10-20ISSN
1062-922XeISSN
2577-1655ISBN-13
9781665442084Language
engPublication classification
E1 Full written paper - refereedTitle of proceedings
SMC 2021 : Proceedings of the 2021 IEEE International Conference on Systems, Man, and CyberneticsEvent
Systems, Man, and Cybernetics. Conference (2021 : Melbourne, Vic.)Publisher
IEEEPlace of publication
Piscataway, N.J.Usage metrics
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170205 Neurocognitive Patterns and Neural Networks090609 Signal Processing080602 Computer-Human Interaction170203 Knowledge Representation and Machine Learning970108 Expanding Knowledge in the Information and Computing Sciences970109 Expanding Knowledge in Engineering970110 Expanding Knowledge in Technology970117 Expanding Knowledge in Psychology and Cognitive Sciences080199 Artificial Intelligence and Image Processing not elsewhere classified4608 Human-centred computing4006 Communications engineering4602 Artificial intelligence
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