Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Francisco J. Moreno-Barea"'
Publikováno v:
2022 IEEE Symposium Series on Computational Intelligence (SSCI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3888743dbb69dea4a6bead95d51409c4
https://doi.org/10.1109/ssci51031.2022.10022209
https://doi.org/10.1109/ssci51031.2022.10022209
Publikováno v:
RIUMA. Repositorio Institucional de la Universidad de Málaga
instname
instname
Niemann–Pick Class 1 (NPC1) disease is a rare and debilitating neurodegenerative lysosomal storage disease (LSD). Metabolomics datasets of NPC1 patients available to perform this type of analysis are often limited in the number of samples and sever
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d3832d548234f88bf9ee51fb46e6e9a
https://pubmed.ncbi.nlm.nih.gov/35961091
https://pubmed.ncbi.nlm.nih.gov/35961091
Publikováno v:
Computational Science – ICCS 2022 ISBN: 9783031087561
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98b0ae789f5393a6c301b61b1ab2ac76
https://doi.org/10.1007/978-3-031-08757-8_3
https://doi.org/10.1007/978-3-031-08757-8_3
Publikováno v:
Computational Science – ICCS 2022 ISBN: 9783031087561
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4abd8e0230dbc4ade619d24c46ce336d
https://doi.org/10.1007/978-3-031-08757-8_8
https://doi.org/10.1007/978-3-031-08757-8_8
Publikováno v:
Expert Systems with Applications. 161:113696
Data augmentation (DA) is a key element in the success of Deep Learning (DL) models, as its use can lead to better prediction accuracy values when large size data sets are used. DA was not very much used with earlier neural network models before 2012
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4cb70232fd7f806f5a221f09bbe70cc3
https://doi.org/10.1016/j.eswa.2020.113696
https://doi.org/10.1016/j.eswa.2020.113696
Publikováno v:
SSCI
Data augmentation has been proven particularly effective for image classification tasks where a significant boost of prediction accuracy can be obtained when the technique is combined with the use of Deep Learning architectures. Unfortunately, for no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b8ba5dbfdce655edb3b98adb20d870c
https://doi.org/10.1109/ssci.2018.8628917
https://doi.org/10.1109/ssci.2018.8628917