AlexNet (French Wikipedia)

Analysis of information sources in references of the Wikipedia article "AlexNet" in French language version.

Last modified: 21:20:07, 21 March 2026 (UTC)

Ref.Un. Ref.Website

Global rank French rank

128doi.org

2^nd place

3^rd place

106semanticscholar.org

15^th place

155^th place

52issn.org

33^rd place

4^th place

43psu.edu

299^th place

919^th place

41nips.cc

low place

32nih.gov

5^th place

11^th place

22worldcat.org

4^th place

15^th place

22arxiv.org

49^th place

128^th place

22lecun.com

low place

22idsia.ch

low place

21scholarpedia.org

low place

11qz.com

1,740^th place

2,956^th place

11image-net.org

low place

11hal.science

2,005^th place

258^th place

11ini.rub.de

low place

11adsabs.harvard.edu

14^th place

54^th place

11princeton.edu

802^nd place

1,282^nd place

11adeshpande3.github.io

low place

11scholar.google.com

1,418^th place

3,088^th place

adeshpande3.github.io (Global: low place; French: low place)

(en) Adit Deshpande, « The 9 Deep Learning Papers You Need To Know About (Understanding CNNs Part 3) », adeshpande3.github.io (consulté le 4 décembre 2018)

adsabs.harvard.edu (Global: 14^th place; French: 54^th place)

ui.adsabs.harvard.edu

(en) Kunihiko Fukushima, « Neocognitron », Scholarpedia, vol. 2, n^o 1,‎ 2007, p. 1717 (DOI 10.4249/scholarpedia.1717, Bibcode 2007SchpJ...2.1717F)

arxiv.org (Global: 49^th place; French: 128^th place)

Dan Cireșan, Ueli Meier et Jürgen Schmidhuber, 2012 IEEE Conference on Computer Vision and Pattern Recognition, New York, NY, Institute of Electrical and Electronics Engineers (IEEE), juin 2012, 3642–3649 p. (ISBN 978-1-4673-1226-4, OCLC 812295155, DOI 10.1109/CVPR.2012.6248110, arXiv 1202.2745, S2CID 2161592, CiteSeer^x 10.1.1.300.3283), « Multi-column deep neural networks for image classification »
Kaiming He, Xiangyu Zhang, Shaoqing Ren et Jian Sun, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, 770–778 p. (ISBN 978-1-4673-8851-1, DOI 10.1109/CVPR.2016.90, arXiv 1512.03385, S2CID 206594692), « Deep Residual Learning for Image Recognition »

doi.org (Global: 2^nd place; French: 3^rd place)

dx.doi.org

(en) Alex Krizhevsky, Ilya Sutskever et Geoffrey E. Hinton, « ImageNet classification with deep convolutional neural networks », Communications of the ACM, vol. 60, n^o 6,‎ 24 mai 2017, p. 84–90 (ISSN 0001-0782, DOI 10.1145/3065386, S2CID 195908774, lire en ligne).
(en) Jürgen Schmidhuber, « Deep Learning », Scholarpedia, vol. 10, n^o 11,‎ 2015, p. 1527–54 (PMID 16764513, DOI 10.1162/neco.2006.18.7.1527, S2CID 2309950, CiteSeer^x 10.1.1.76.1541, lire en ligne)
Dan Cireșan, Ueli Meier et Jürgen Schmidhuber, 2012 IEEE Conference on Computer Vision and Pattern Recognition, New York, NY, Institute of Electrical and Electronics Engineers (IEEE), juin 2012, 3642–3649 p. (ISBN 978-1-4673-1226-4, OCLC 812295155, DOI 10.1109/CVPR.2012.6248110, arXiv 1202.2745, S2CID 2161592, CiteSeer^x 10.1.1.300.3283), « Multi-column deep neural networks for image classification »
(en) « Backpropagation Applied to Handwritten Zip Code Recognition », Neural Computation, MIT Press - Journals, vol. 1, n^o 4,‎ 1989, p. 541–551 (ISSN 0899-7667, OCLC 364746139, DOI 10.1162/neco.1989.1.4.541, lire en ligne)
(en) Yann Le Cun, Léon Bottou, Yoshua Bengio et Patrick Haffner, « Gradient-based learning applied to document recognition », Proceedings of the IEEE, vol. 86, n^o 11,‎ 1998, p. 2278–2324 (DOI 10.1109/5.726791, S2CID 14542261, CiteSeer^x 10.1.1.32.9552, lire en ligne, consulté le 7 octobre 2016)
(en) Kunihiko Fukushima, « Neocognitron », Scholarpedia, vol. 2, n^o 1,‎ 2007, p. 1717 (DOI 10.4249/scholarpedia.1717, Bibcode 2007SchpJ...2.1717F)
(en) Kunihiko Fukushima, « Neocognitron: A Self-organizing Neural Network Model for a Mechanism of Pattern Recognition Unaffected by Shift in Position », Biological Cybernetics, vol. 36, n^o 4,‎ 1980, p. 193–202 (PMID 7370364, DOI 10.1007/BF00344251, S2CID 206775608, lire en ligne, consulté le 16 novembre 2013)
Kaiming He, Xiangyu Zhang, Shaoqing Ren et Jian Sun, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, 770–778 p. (ISBN 978-1-4673-8851-1, DOI 10.1109/CVPR.2016.90, arXiv 1512.03385, S2CID 206594692), « Deep Residual Learning for Image Recognition »

hal.science (Global: 2,005^th place; French: 258^th place)

inria.hal.science

(en) Kumar Chellapilla, Sidd Puri et Patrice Simard, Tenth International Workshop on Frontiers in Handwriting Recognition, Suvisoft, 2006 (lire en ligne), « High Performance Convolutional Neural Networks for Document Processing »

idsia.ch (Global: low place; French: low place)

idsia.ch

(en) Dan Cireșan, Ueli Meier, Jonathan Masci, Luca M. Gambardella et Jürgen Schmidhuber, « Flexible, High Performance Convolutional Neural Networks for Image Classification », Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence-Volume Volume Two, vol. 2,‎ 2011, p. 1237–1242 (lire en ligne, consulté le 17 novembre 2013)

people.idsia.ch

(en) Jürgen Schmidhuber, « History of computer vision contests won by deep CNNs on GPU », sur IDSIA, 17 mars 2017 (consulté le 14 janvier 2019)

image-net.org (Global: low place; French: low place)

« ImageNet Large Scale Visual Recognition Competition 2012 (ILSVRC2012) », sur Image-net (consulté le 12 mars 2024).

ini.rub.de (Global: low place; French: low place)

benchmark.ini.rub.de

(en) « IJCNN 2011 Competition result table », OFFICIAL IJCNN2011 COMPETITION, 2010 (consulté le 14 janvier 2019)

issn.org (Global: 33^rd place; French: 4^th place)

portal.issn.org

(en) Alex Krizhevsky, Ilya Sutskever et Geoffrey E. Hinton, « ImageNet classification with deep convolutional neural networks », Communications of the ACM, vol. 60, n^o 6,‎ 24 mai 2017, p. 84–90 (ISSN 0001-0782, DOI 10.1145/3065386, S2CID 195908774, lire en ligne).
(en) « Backpropagation Applied to Handwritten Zip Code Recognition », Neural Computation, MIT Press - Journals, vol. 1, n^o 4,‎ 1989, p. 541–551 (ISSN 0899-7667, OCLC 364746139, DOI 10.1162/neco.1989.1.4.541, lire en ligne)

lecun.com (Global: low place; French: low place)

yann.lecun.com

(en) « Backpropagation Applied to Handwritten Zip Code Recognition », Neural Computation, MIT Press - Journals, vol. 1, n^o 4,‎ 1989, p. 541–551 (ISSN 0899-7667, OCLC 364746139, DOI 10.1162/neco.1989.1.4.541, lire en ligne)
(en) Yann Le Cun, Léon Bottou, Yoshua Bengio et Patrick Haffner, « Gradient-based learning applied to document recognition », Proceedings of the IEEE, vol. 86, n^o 11,‎ 1998, p. 2278–2324 (DOI 10.1109/5.726791, S2CID 14542261, CiteSeer^x 10.1.1.32.9552, lire en ligne, consulté le 7 octobre 2016)

nih.gov (Global: 5^th place; French: 11^th place)

ncbi.nlm.nih.gov

(en) Jürgen Schmidhuber, « Deep Learning », Scholarpedia, vol. 10, n^o 11,‎ 2015, p. 1527–54 (PMID 16764513, DOI 10.1162/neco.2006.18.7.1527, S2CID 2309950, CiteSeer^x 10.1.1.76.1541, lire en ligne)
(en) Kunihiko Fukushima, « Neocognitron: A Self-organizing Neural Network Model for a Mechanism of Pattern Recognition Unaffected by Shift in Position », Biological Cybernetics, vol. 36, n^o 4,‎ 1980, p. 193–202 (PMID 7370364, DOI 10.1007/BF00344251, S2CID 206775608, lire en ligne, consulté le 16 novembre 2013)

nips.cc (Global: low place; French: low place)

papers.nips.cc

(en) Alex Krizhevsky, Ilya Sutskever et Geoffrey E. Hinton, « ImageNet classification with deep convolutional neural networks », Communications of the ACM, vol. 60, n^o 6,‎ 24 mai 2017, p. 84–90 (ISSN 0001-0782, DOI 10.1145/3065386, S2CID 195908774, lire en ligne).

princeton.edu (Global: 802^nd place; French: 1,282^nd place)

cs.princeton.edu

(en) Kunihiko Fukushima, « Neocognitron: A Self-organizing Neural Network Model for a Mechanism of Pattern Recognition Unaffected by Shift in Position », Biological Cybernetics, vol. 36, n^o 4,‎ 1980, p. 193–202 (PMID 7370364, DOI 10.1007/BF00344251, S2CID 206775608, lire en ligne, consulté le 16 novembre 2013)

psu.edu (Global: 299^th place; French: 919^th place)

citeseerx.ist.psu.edu

(en) Jürgen Schmidhuber, « Deep Learning », Scholarpedia, vol. 10, n^o 11,‎ 2015, p. 1527–54 (PMID 16764513, DOI 10.1162/neco.2006.18.7.1527, S2CID 2309950, CiteSeer^x 10.1.1.76.1541, lire en ligne)
Dan Cireșan, Ueli Meier et Jürgen Schmidhuber, 2012 IEEE Conference on Computer Vision and Pattern Recognition, New York, NY, Institute of Electrical and Electronics Engineers (IEEE), juin 2012, 3642–3649 p. (ISBN 978-1-4673-1226-4, OCLC 812295155, DOI 10.1109/CVPR.2012.6248110, arXiv 1202.2745, S2CID 2161592, CiteSeer^x 10.1.1.300.3283), « Multi-column deep neural networks for image classification »
(en) Yann Le Cun, Léon Bottou, Yoshua Bengio et Patrick Haffner, « Gradient-based learning applied to document recognition », Proceedings of the IEEE, vol. 86, n^o 11,‎ 1998, p. 2278–2324 (DOI 10.1109/5.726791, S2CID 14542261, CiteSeer^x 10.1.1.32.9552, lire en ligne, consulté le 7 octobre 2016)

qz.com (Global: 1,740^th place; French: 2,956^th place)

(en) Gershgorn, « The data that transformed AI research—and possibly the world », Quartz, 26 juillet 2017.

scholar.google.com (Global: 1,418^th place; French: 3,088^th place)

(en) « Imagenet classification with deep convolutional neural networks », sur Google Scholar

scholarpedia.org (Global: low place; French: low place)

(en) Jürgen Schmidhuber, « Deep Learning », Scholarpedia, vol. 10, n^o 11,‎ 2015, p. 1527–54 (PMID 16764513, DOI 10.1162/neco.2006.18.7.1527, S2CID 2309950, CiteSeer^x 10.1.1.76.1541, lire en ligne)

semanticscholar.org (Global: 15^th place; French: 155^th place)

api.semanticscholar.org

(en) Alex Krizhevsky, Ilya Sutskever et Geoffrey E. Hinton, « ImageNet classification with deep convolutional neural networks », Communications of the ACM, vol. 60, n^o 6,‎ 24 mai 2017, p. 84–90 (ISSN 0001-0782, DOI 10.1145/3065386, S2CID 195908774, lire en ligne).
(en) Jürgen Schmidhuber, « Deep Learning », Scholarpedia, vol. 10, n^o 11,‎ 2015, p. 1527–54 (PMID 16764513, DOI 10.1162/neco.2006.18.7.1527, S2CID 2309950, CiteSeer^x 10.1.1.76.1541, lire en ligne)
Dan Cireșan, Ueli Meier et Jürgen Schmidhuber, 2012 IEEE Conference on Computer Vision and Pattern Recognition, New York, NY, Institute of Electrical and Electronics Engineers (IEEE), juin 2012, 3642–3649 p. (ISBN 978-1-4673-1226-4, OCLC 812295155, DOI 10.1109/CVPR.2012.6248110, arXiv 1202.2745, S2CID 2161592, CiteSeer^x 10.1.1.300.3283), « Multi-column deep neural networks for image classification »
(en) Yann Le Cun, Léon Bottou, Yoshua Bengio et Patrick Haffner, « Gradient-based learning applied to document recognition », Proceedings of the IEEE, vol. 86, n^o 11,‎ 1998, p. 2278–2324 (DOI 10.1109/5.726791, S2CID 14542261, CiteSeer^x 10.1.1.32.9552, lire en ligne, consulté le 7 octobre 2016)
(en) Kunihiko Fukushima, « Neocognitron: A Self-organizing Neural Network Model for a Mechanism of Pattern Recognition Unaffected by Shift in Position », Biological Cybernetics, vol. 36, n^o 4,‎ 1980, p. 193–202 (PMID 7370364, DOI 10.1007/BF00344251, S2CID 206775608, lire en ligne, consulté le 16 novembre 2013)
Kaiming He, Xiangyu Zhang, Shaoqing Ren et Jian Sun, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, 770–778 p. (ISBN 978-1-4673-8851-1, DOI 10.1109/CVPR.2016.90, arXiv 1512.03385, S2CID 206594692), « Deep Residual Learning for Image Recognition »

worldcat.org (Global: 4^th place; French: 15^th place)

Dan Cireșan, Ueli Meier et Jürgen Schmidhuber, 2012 IEEE Conference on Computer Vision and Pattern Recognition, New York, NY, Institute of Electrical and Electronics Engineers (IEEE), juin 2012, 3642–3649 p. (ISBN 978-1-4673-1226-4, OCLC 812295155, DOI 10.1109/CVPR.2012.6248110, arXiv 1202.2745, S2CID 2161592, CiteSeer^x 10.1.1.300.3283), « Multi-column deep neural networks for image classification »
(en) « Backpropagation Applied to Handwritten Zip Code Recognition », Neural Computation, MIT Press - Journals, vol. 1, n^o 4,‎ 1989, p. 541–551 (ISSN 0899-7667, OCLC 364746139, DOI 10.1162/neco.1989.1.4.541, lire en ligne)

AlexNet (French Wikipedia)

adeshpande3.github.io (Global: low place; French: low place)

adsabs.harvard.edu (Global: 14th place; French: 54th place)

ui.adsabs.harvard.edu

arxiv.org (Global: 49th place; French: 128th place)

doi.org (Global: 2nd place; French: 3rd place)

dx.doi.org

hal.science (Global: 2,005th place; French: 258th place)

inria.hal.science

idsia.ch (Global: low place; French: low place)

idsia.ch

people.idsia.ch

image-net.org (Global: low place; French: low place)

ini.rub.de (Global: low place; French: low place)

benchmark.ini.rub.de

issn.org (Global: 33rd place; French: 4th place)

portal.issn.org

lecun.com (Global: low place; French: low place)

yann.lecun.com

nih.gov (Global: 5th place; French: 11th place)

ncbi.nlm.nih.gov

nips.cc (Global: low place; French: low place)

papers.nips.cc

princeton.edu (Global: 802nd place; French: 1,282nd place)

cs.princeton.edu

psu.edu (Global: 299th place; French: 919th place)

citeseerx.ist.psu.edu

qz.com (Global: 1,740th place; French: 2,956th place)

scholar.google.com (Global: 1,418th place; French: 3,088th place)

scholarpedia.org (Global: low place; French: low place)

semanticscholar.org (Global: 15th place; French: 155th place)

api.semanticscholar.org

worldcat.org (Global: 4th place; French: 15th place)

adsabs.harvard.edu (Global: 14^th place; French: 54^th place)

arxiv.org (Global: 49^th place; French: 128^th place)

doi.org (Global: 2^nd place; French: 3^rd place)

hal.science (Global: 2,005^th place; French: 258^th place)

issn.org (Global: 33^rd place; French: 4^th place)

nih.gov (Global: 5^th place; French: 11^th place)

princeton.edu (Global: 802^nd place; French: 1,282^nd place)

psu.edu (Global: 299^th place; French: 919^th place)

qz.com (Global: 1,740^th place; French: 2,956^th place)

scholar.google.com (Global: 1,418^th place; French: 3,088^th place)

semanticscholar.org (Global: 15^th place; French: 155^th place)

worldcat.org (Global: 4^th place; French: 15^th place)