2 citations · 2 across the 1 of their papers we have counts for
5 papers
Deep Evolution for Facial Emotion Recognition
Emmanuel Dufourq, Bruce A. Bassett
Deep facial expression recognition faces two challenges that both stem from the large number of trainable parameters: long training times and a lack of interpretability. We propose…
Automated Classification of Text Sentiment
Emmanuel Dufourq, Bruce A. Bassett
The ability to identify sentiment in text, referred to as sentiment analysis, is one which is natural to adult humans. This task is, however, not one which a computer can perform b…
EDEN: Evolutionary Deep Networks for Efficient Machine Learning
Emmanuel Dufourq, Bruce A. Bassett
Deep neural networks continue to show improved performance with increasing depth, an encouraging trend that implies an explosion in the possible permutations of network architectur…
Text Compression for Sentiment Analysis via Evolutionary Algorithms
Emmanuel Dufourq, Bruce A. Bassett
Can textual data be compressed intelligently without losing accuracy in evaluating sentiment? In this study, we propose a novel evolutionary compression algorithm, PARSEC (PARts-of…
Automated Problem Identification: Regression vs Classification via Evolutionary Deep Networks
Emmanuel Dufourq, Bruce A. Bassett
Regression or classification? This is perhaps the most basic question faced when tackling a new supervised learning problem. We present an Evolutionary Deep Learning (EDL) algorith…