Zobrazeno 1 - 10
of 80
pro vyhledávání: '"LOUIS, Fabrice"'
Autor:
Del Pup, Federico, Zanola, Andrea, Tshimanga, Louis Fabrice, Bertoldo, Alessandra, Atzori, Manfredo
The last decade has witnessed a notable surge in deep learning applications for the analysis of electroencephalography (EEG) data, thanks to its demonstrated superiority over conventional statistical techniques. However, even deep learning models can
Externí odkaz:
http://arxiv.org/abs/2411.18392
Autor:
Del Pup, Federico, Zanola, Andrea, Tshimanga, Louis Fabrice, Mazzon, Paolo Emilio, Atzori, Manfredo
Publikováno v:
Journal of Open Source Software (2024), 9(95), 6224
SelfEEG is an open-source Python library developed to assist researchers in conducting Self-Supervised Learning (SSL) experiments on electroencephalography (EEG) data. Its primary objective is to offer a user-friendly but highly customizable environm
Externí odkaz:
http://arxiv.org/abs/2401.05405
In recent years, deep learning revolutionized machine learning and its applications, producing results comparable to human experts in several domains, including neuroscience. Each year, hundreds of scientific publications present applications of deep
Externí odkaz:
http://arxiv.org/abs/2301.05057
Autor:
Noldus, J. W. H. J. M.
Publikováno v:
Bulletin van het Rijksmuseum, 1985 Jan 01. 33(4), 226-232.
Externí odkaz:
https://www.jstor.org/stable/40382295
Publikováno v:
Market Watch; Oct2022, Vol. 41 Issue 9, p106-106, 1/6p
Publikováno v:
Applied Sciences, Vol 13, Iss 9, p 5472 (2023)
In recent years, deep learning has revolutionized machine learning and its applications, producing results comparable to human experts in several domains, including neuroscience. Each year, hundreds of scientific publications present applications of
Externí odkaz:
https://doaj.org/article/0e2faf4081f84e4b99f7fe270d05a3c0
Autor:
J. W. H. J. M. Noldus
Publikováno v:
The Rijksmuseum Bulletin, Vol 33, Iss 4 (1985)
Externí odkaz:
https://doaj.org/article/3383ecba2eb34dfaae0840c90e18f9e9
Cet article aborde la question du sens des apprentissages en Théorie de l’Action Conjointe en Didactique (TACD). Nous analysons un dispositif qui améliore la co-construction de sens entre les élèves et un professeur pour l’apprentissage du ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=openedition_::564adc758542e8ee63f5a84f0802ff9c
https://journals.openedition.org/ejrieps/8614
https://journals.openedition.org/ejrieps/8614
Publikováno v:
Applied Sciences (2076-3417); May2023, Vol. 13 Issue 9, p5472, 27p