Red neuronal convolucional (Spanish Wikipedia)

Analysis of information sources in references of the Wikipedia article "Red neuronal convolucional" in Spanish language version.

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3nih.gov

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3doi.org

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2issn.org

57^th place

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1frontiersin.org

4,679^th place

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1springeropen.com

low place

1princeton.edu

741^st place

1,126^th place

1lecun.com

low place

1idsia.ch

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1uni-bonn.de

6,912^th place

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doi.org

dx.doi.org

Celeghin, Alessia; Borriero, Alessio; Orsenigo, Davide; Diano, Matteo; Méndez Guerrero, Carlos Andrés; Perotti, Alan; Petri, Giovanni; Tamietto, Marco (6 de julio de 2023). «Convolutional neural networks for vision neuroscience: significance, developments, and outstanding issues». Frontiers in Computational Neuroscience 17. ISSN 1662-5188. PMC 10359983. PMID 37485400. doi:10.3389/fncom.2023.1153572. Consultado el 31 de octubre de 2024.
Yamashita, Rikiya; Nishio, Mizuho; Do, Richard Kinh Gian; Togashi, Kaori (2018-08). «Convolutional neural networks: an overview and application in radiology». Insights into Imaging (en inglés) 9 (4): 611-629. ISSN 1869-4101. PMC 6108980. PMID 29934920. doi:10.1007/s13244-018-0639-9. Consultado el 31 de octubre de 2024.
Cruz, Y.J.; Rivas, M.; Quiza, R.; Villalonga, A.; Haber, R.E.; Beruvides, G. (December 2021). «Ensemble of convolutional neural networks based on an evolutionary algorithm applied to an industrial welding process». Computers in Industry. 133. doi:10.1016/j.compind.2021.103530.

frontiersin.org

Celeghin, Alessia; Borriero, Alessio; Orsenigo, Davide; Diano, Matteo; Méndez Guerrero, Carlos Andrés; Perotti, Alan; Petri, Giovanni; Tamietto, Marco (6 de julio de 2023). «Convolutional neural networks for vision neuroscience: significance, developments, and outstanding issues». Frontiers in Computational Neuroscience 17. ISSN 1662-5188. PMC 10359983. PMID 37485400. doi:10.3389/fncom.2023.1153572. Consultado el 31 de octubre de 2024.

idsia.ch

Ciresan, Dan; Ueli Meier; Jonathan Masci; Luca M. Gambardella; Jurgen Schmidhuber (2011). "Flexible, High Performance Convolutional Neural Networks for Image Classiﬁcation". Proceedings of the Twenty-Second international joint conference on Artificial Intelligence-Volume Volume Two 2: 1237–1242.

issn.org

portal.issn.org

Celeghin, Alessia; Borriero, Alessio; Orsenigo, Davide; Diano, Matteo; Méndez Guerrero, Carlos Andrés; Perotti, Alan; Petri, Giovanni; Tamietto, Marco (6 de julio de 2023). «Convolutional neural networks for vision neuroscience: significance, developments, and outstanding issues». Frontiers in Computational Neuroscience 17. ISSN 1662-5188. PMC 10359983. PMID 37485400. doi:10.3389/fncom.2023.1153572. Consultado el 31 de octubre de 2024.
Yamashita, Rikiya; Nishio, Mizuho; Do, Richard Kinh Gian; Togashi, Kaori (2018-08). «Convolutional neural networks: an overview and application in radiology». Insights into Imaging (en inglés) 9 (4): 611-629. ISSN 1869-4101. PMC 6108980. PMID 29934920. doi:10.1007/s13244-018-0639-9. Consultado el 31 de octubre de 2024.

lecun.com

yann.lecun.com

LeCun, Yann; Léon Bottou; Yoshua Bengio; Patrick Haffner (1998). "Gradient-based learning applied to document recognition". Proceedings of the IEEE 86 (11): 2278–2324.

nih.gov

ncbi.nlm.nih.gov

Celeghin, Alessia; Borriero, Alessio; Orsenigo, Davide; Diano, Matteo; Méndez Guerrero, Carlos Andrés; Perotti, Alan; Petri, Giovanni; Tamietto, Marco (6 de julio de 2023). «Convolutional neural networks for vision neuroscience: significance, developments, and outstanding issues». Frontiers in Computational Neuroscience 17. ISSN 1662-5188. PMC 10359983. PMID 37485400. doi:10.3389/fncom.2023.1153572. Consultado el 31 de octubre de 2024.
Yamashita, Rikiya; Nishio, Mizuho; Do, Richard Kinh Gian; Togashi, Kaori (2018-08). «Convolutional neural networks: an overview and application in radiology». Insights into Imaging (en inglés) 9 (4): 611-629. ISSN 1869-4101. PMC 6108980. PMID 29934920. doi:10.1007/s13244-018-0639-9. Consultado el 31 de octubre de 2024.
Hubel, D. H.; Wiesel, T. N. (1959). "Receptive fields of single neurones in the cat's striate cortex". The Journal of physiology 148 (3): 574–591.

princeton.edu

cs.princeton.edu

Fukushima, Kunihiko (1980). "Neocognitron: A Self-organizing Neural Network Model for a Mechanism of Pattern Recognition Unaffected by Shift in Position". Biological Cybernetics 36 (4): 193–202.

springeropen.com

insightsimaging.springeropen.com

Yamashita, Rikiya; Nishio, Mizuho; Do, Richard Kinh Gian; Togashi, Kaori (2018-08). «Convolutional neural networks: an overview and application in radiology». Insights into Imaging (en inglés) 9 (4): 611-629. ISSN 1869-4101. PMC 6108980. PMID 29934920. doi:10.1007/s13244-018-0639-9. Consultado el 31 de octubre de 2024.

uni-bonn.de

ais.uni-bonn.de

Scherer, Dominik; Müller, Andreas C.; Behnke, Sven (2010). «Evaluation of Pooling Operations in Convolutional Architectures for Object Recognition». Artificial Neural Networks (ICANN), 20th International Conference on. Thessaloniki, Greece: Springer. pp. 92-101.