数据增强 (Chinese Wikipedia)

Analysis of information sources in references of the Wikipedia article "数据增强" in Chinese language version.

refsWebsite

Global rank Chinese rank

6doi.org

2^nd place

23^rd place

2web.archive.org

1^st place

2semanticscholar.org

11^th place

332^nd place

2wiley.com

222^nd place

216^th place

1jstor.org

26^th place

113^th place

1nyu.edu

1,174^th place

1,668^th place

1arxiv.org

69^th place

254^th place

1zenodo.org

621^st place

1,608^th place

1worldcat.org

5^th place

12^th place

arxiv.org (Global: 69^th place; Chinese: 254^th place)

Hinton, Geoffrey E.; Srivastava, Nitish; Krizhevsky, Alex; Sutskever, Ilya; Salakhutdinov, Ruslan R. Improving neural networks by preventing co-adaptation of feature detectors. 2012. arXiv:1207.0580  [cs.NE].

doi.org (Global: 2^nd place; Chinese: 23^rd place)

Dempster, A.P.; Laird, N.M.; Rubin, D.B. Maximum Likelihood from Incomplete Data Via the EM Algorithm. Journal of the Royal Statistical Society. Series B (Methodological). 1977, 39 (1): 1–22 [2024-08-07]. doi:10.1111/j.2517-6161.1977.tb01600.x. （原始内容存档于2022-10-10）.
Rubin, Donald. Comment: The Calculation of Posterior Distributions by Data Augmentation. Journal of the American Statistical Association. 1987, 82 (398) [2024-08-07]. JSTOR 2289460. doi:10.2307/2289460. （原始内容存档于2024-08-07）.
Shorten, Connor; Khoshgoftaar, Taghi M. A survey on Image Data Augmentation for Deep Learning. Mathematics and Computers in Simulation (springer). 2019, 6: 60. doi:10.1186/s40537-019-0197-0 .
Simard, P.Y.; Steinkraus, D.; Platt, J.C. Best practices for convolutional neural networks applied to visual document analysis. Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings. 1. 2003: 958–963. ISBN 0-7695-1960-1. S2CID 4659176. doi:10.1109/ICDAR.2003.1227801.
Cagli, Eleonora; Dumas, Cécile; Prouff, Emmanuel. Convolutional Neural Networks with Data Augmentation Against Jitter-Based Countermeasures: Profiling Attacks Without Pre-processing. Fischer, Wieland; Homma, Naofumi (编). Cryptographic Hardware and Embedded Systems – CHES 2017. Lecture Notes in Computer Science 10529. Cham: Springer International Publishing. 2017: 45–68. ISBN 978-3-319-66787-4. S2CID 54088207. doi:10.1007/978-3-319-66787-4_3 （英语）.
Shorten, Connor; Khoshgoftaar, Taghi M. A survey on Image Data Augmentation for Deep Learning. Journal of Big Data. 2019-07-06, 6 (1): 60. ISSN 2196-1115. doi:10.1186/s40537-019-0197-0 .

jstor.org (Global: 26^th place; Chinese: 113^th place)

Rubin, Donald. Comment: The Calculation of Posterior Distributions by Data Augmentation. Journal of the American Statistical Association. 1987, 82 (398) [2024-08-07]. JSTOR 2289460. doi:10.2307/2289460. （原始内容存档于2024-08-07）.

nyu.edu (Global: 1,174^th place; Chinese: 1,668^th place)

nyuscholars.nyu.edu

Yann Lecun; et al. Learning algorithms for classification: A comparison on handwritten digit recognition (Conference paper). nyuscholars.nyu.edu (World Scientific). 1995: 261–276 [2023-05-14].

semanticscholar.org (Global: 11^th place; Chinese: 332^nd place)

api.semanticscholar.org

Simard, P.Y.; Steinkraus, D.; Platt, J.C. Best practices for convolutional neural networks applied to visual document analysis. Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings. 1. 2003: 958–963. ISBN 0-7695-1960-1. S2CID 4659176. doi:10.1109/ICDAR.2003.1227801.
Cagli, Eleonora; Dumas, Cécile; Prouff, Emmanuel. Convolutional Neural Networks with Data Augmentation Against Jitter-Based Countermeasures: Profiling Attacks Without Pre-processing. Fischer, Wieland; Homma, Naofumi (编). Cryptographic Hardware and Embedded Systems – CHES 2017. Lecture Notes in Computer Science 10529. Cham: Springer International Publishing. 2017: 45–68. ISBN 978-3-319-66787-4. S2CID 54088207. doi:10.1007/978-3-319-66787-4_3 （英语）.

web.archive.org (Global: 1^st place; Chinese: 1^st place)

Dempster, A.P.; Laird, N.M.; Rubin, D.B. Maximum Likelihood from Incomplete Data Via the EM Algorithm. Journal of the Royal Statistical Society. Series B (Methodological). 1977, 39 (1): 1–22 [2024-08-07]. doi:10.1111/j.2517-6161.1977.tb01600.x. （原始内容存档于2022-10-10）.
Rubin, Donald. Comment: The Calculation of Posterior Distributions by Data Augmentation. Journal of the American Statistical Association. 1987, 82 (398) [2024-08-07]. JSTOR 2289460. doi:10.2307/2289460. （原始内容存档于2024-08-07）.

wiley.com (Global: 222^nd place; Chinese: 216^th place)

rss.onlinelibrary.wiley.com

Dempster, A.P.; Laird, N.M.; Rubin, D.B. Maximum Likelihood from Incomplete Data Via the EM Algorithm. Journal of the Royal Statistical Society. Series B (Methodological). 1977, 39 (1): 1–22 [2024-08-07]. doi:10.1111/j.2517-6161.1977.tb01600.x. （原始内容存档于2022-10-10）.

wiley.com

Jackman, Simon. Bayesian Analysis for the Social Sciences. John Wiley & Sons. 2009: 236. ISBN 978-0-470-01154-6.

worldcat.org (Global: 5^th place; Chinese: 12^th place)

Shorten, Connor; Khoshgoftaar, Taghi M. A survey on Image Data Augmentation for Deep Learning. Journal of Big Data. 2019-07-06, 6 (1): 60. ISSN 2196-1115. doi:10.1186/s40537-019-0197-0 .

zenodo.org (Global: 621^st place; Chinese: 1,608^th place)

Cagli, Eleonora; Dumas, Cécile; Prouff, Emmanuel. Convolutional Neural Networks with Data Augmentation Against Jitter-Based Countermeasures: Profiling Attacks Without Pre-processing. Fischer, Wieland; Homma, Naofumi (编). Cryptographic Hardware and Embedded Systems – CHES 2017. Lecture Notes in Computer Science 10529. Cham: Springer International Publishing. 2017: 45–68. ISBN 978-3-319-66787-4. S2CID 54088207. doi:10.1007/978-3-319-66787-4_3 （英语）.

数据增强 (Chinese Wikipedia)

arxiv.org (Global: 69th place; Chinese: 254th place)

doi.org (Global: 2nd place; Chinese: 23rd place)

jstor.org (Global: 26th place; Chinese: 113th place)

nyu.edu (Global: 1,174th place; Chinese: 1,668th place)