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2020 – today
- 2023
[j3]Lorène Jeantet, Emmanuel Dufourq:
Improving deep learning acoustic classifiers with contextual information for wildlife monitoring. Ecol. Informatics 77: 102256 (2023)- [j2]Guilherme Frainer
, Emmanuel Dufourq, Jack Fearey, Sasha Dines, Rachel Probert, Simon Elwen, Tess Gridley:
Automatic detection and taxonomic identification of dolphin vocalisations using convolutional neural networks for passive acoustic monitoring. Ecol. Informatics 78: 102291 (2023) - 2022
- [j1]Emmanuel Dufourq, Carly Batist, Ruben Foquet, Ian N. Durbach:
Passive acoustic monitoring of animal populations with transfer learning. Ecol. Informatics 70: 101688 (2022) - 2020
- [c5]Emmanuel Dufourq:
A Survey on Factors Affecting Facial Expression Recognition based on Convolutional Neural Networks. SAICSIT 2020: 168-179 - [c4]Emmanuel Dufourq, Bruce A. Bassett:
Evolutionary Facial Expression Recognition. SAICSIT 2020: 227-236 - [i5]Emmanuel Dufourq, Bruce A. Bassett:
Deep Evolution for Facial Emotion Recognition. CoRR abs/2009.14194 (2020)
2010 – 2019
- 2018
- [i4]Emmanuel Dufourq, Bruce A. Bassett:
Automated Classification of Text Sentiment. CoRR abs/1804.01963 (2018) - 2017
- [c3]Emmanuel Dufourq, Bruce A. Bassett:
Automated classification of text sentiment. SAICSIT 2017: 11:1-11:10 - [c2]Emmanuel Dufourq, Bruce A. Bassett:
Automated problem identification: regression vs classification via evolutionary deep networks. SAICSIT 2017: 12:1-12:9 - [i3]Emmanuel Dufourq, Bruce A. Bassett:
Automated Problem Identification: Regression vs Classification via Evolutionary Deep Networks. CoRR abs/1707.00703 (2017) - [i2]Emmanuel Dufourq, Bruce A. Bassett:
Text Compression for Sentiment Analysis via Evolutionary Algorithms. CoRR abs/1709.06990 (2017) - [i1]Emmanuel Dufourq, Bruce A. Bassett:
EDEN: Evolutionary Deep Networks for Efficient Machine Learning. CoRR abs/1709.09161 (2017) - 2014
- [c1]Emmanuel Dufourq, Nelishia Pillay:
Hybridizing evolutionary algorithms for creating classifier ensembles. NaBIC 2014: 84-90
Coauthor Index
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