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Improving the Stability of a Convolutional Neural Network Time-Series Classifier Using SeLU and Tanh
Autor:
Jessica Sharmin Rahman, Melanie Renkin
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030638221
ICONIP (5)
ICONIP (5)
Emotion recognition by machine learning methods has been a topic of interest for many years. This paper presents an analysis in stabilising a time-series, emotional response classifier. The network uses six convolutional layers to perform feature ext
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8193b05477e420155346f70c76958529
https://doi.org/10.1007/978-3-030-63823-8_89
https://doi.org/10.1007/978-3-030-63823-8_89
Autor:
Peter S. Solomon, Andrew Milgate, Beverley Orchard, Melanie Renkin, Daniel Croll, Megan C. McDonald, Merrin Spackman
Publikováno v:
Applied and Environmental Microbiology. 85
Zymoseptoria tritici is a globally distributed fungal pathogen which causes Septoria tritici blotch on wheat. Management of the disease is attempted through the deployment of resistant wheat cultivars and the application of fungicides. However, fungi
Autor:
Megan C, McDonald, Melanie, Renkin, Merrin, Spackman, Beverley, Orchard, Daniel, Croll, Peter S, Solomon, Andrew, Milgate
Publikováno v:
Applied and environmental microbiology. 85(4)
Zymoseptoria tritici is a globally distributed fungal pathogen which causes Septoria tritici blotch on wheat. Management of the disease is attempted through the deployment of resistant wheat cultivars and the application of fungicides. However, fungi