Article

SexNet: A neural network identifies sex from human faces

Authors:

B. A. Golomb,

D. T. Lawrence,

T. J. SejnowskiAuthors Info & Claims

NIPS-3: Proceedings of the 1990 conference on Advances in neural information processing systems 3

Pages 572 - 577

Published: 01 October 1990 Publication History

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Madhu PKosti RMührenberg LBell PMaier AChristlein VGouet-Brunet VKhokhlova MChen LMünster S(2019)Recognizing Characters in Art History Using Deep LearningProceedings of the 1st Workshop on Structuring and Understanding of Multimedia heritAge Contents10.1145/3347317.3357242(15-22)Online publication date: 15-Oct-2019
https://dl.acm.org/doi/10.1145/3347317.3357242
Nie YLiang BHuang PRen WDai J(2019)A Study on Image Based Gender Classification Using Convolutional Neural NetworkProceedings of the 2019 3rd International Conference on Deep Learning Technologies10.1145/3342999.3343011(81-84)Online publication date: 5-Jul-2019
https://dl.acm.org/doi/10.1145/3342999.3343011
Bhattacharyya ASaini RRoy PDogra DKar S(2019)Recognizing gender from human facial regions using genetic algorithmSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-018-3446-923:17(8085-8100)Online publication date: 1-Sep-2019
https://dl.acm.org/doi/10.1007/s00500-018-3446-9
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SexNet: A neural network identifies sex from human faces

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SEXNET: a neural network identifies sex from human faces
NIPS'90: Proceedings of the 3rd International Conference on Neural Information Processing Systems

Sex identification in animals has biological importance. Humans are good at making this determination visually, but machines have not matched this ability. A neural network was trained to discriminate sex in human faces, and performed as well as humans ...
Pathological narcissism, cyberbullying victimization and offending among homosexual and heterosexual participants in online dating websites

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Homophobia is online: Sexual victimization and risks on the internet and mental health among bisexual, homosexual, pansexual, asexual, and queer adolescents
Abstract
The first aim of this study was to analyze the prevalence and frequency of different forms of online sexual victimization and risks among sexual minorities, including sexting, sexual orientation- and gender-based victimization, ...
Highlights
- Sexual minorities are frequently sexually victimized online.
- Forty percent of ...

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Published In

NIPS-3: Proceedings of the 1990 conference on Advances in neural information processing systems 3

October 1990

1060 pages

ISBN:1558601848

Publisher

Morgan Kaufmann Publishers Inc.

San Francisco, CA, United States

Publication History

Published: 01 October 1990

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Madhu PKosti RMührenberg LBell PMaier AChristlein VGouet-Brunet VKhokhlova MChen LMünster S(2019)Recognizing Characters in Art History Using Deep LearningProceedings of the 1st Workshop on Structuring and Understanding of Multimedia heritAge Contents10.1145/3347317.3357242(15-22)Online publication date: 15-Oct-2019
https://dl.acm.org/doi/10.1145/3347317.3357242
Nie YLiang BHuang PRen WDai J(2019)A Study on Image Based Gender Classification Using Convolutional Neural NetworkProceedings of the 2019 3rd International Conference on Deep Learning Technologies10.1145/3342999.3343011(81-84)Online publication date: 5-Jul-2019
https://dl.acm.org/doi/10.1145/3342999.3343011
Bhattacharyya ASaini RRoy PDogra DKar S(2019)Recognizing gender from human facial regions using genetic algorithmSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-018-3446-923:17(8085-8100)Online publication date: 1-Sep-2019
https://dl.acm.org/doi/10.1007/s00500-018-3446-9
Keyes O(2018)The Misgendering MachinesProceedings of the ACM on Human-Computer Interaction10.1145/32743572:CSCW(1-22)Online publication date: 1-Nov-2018
https://dl.acm.org/doi/10.1145/3274357
Du BGuo XChen Y(2018)Research on Face Recognition System based on Embedded Processor and Deep Neural NetworkProceedings of the 2018 International Conference on Artificial Intelligence and Pattern Recognition10.1145/3268866.3268880(11-14)Online publication date: 18-Aug-2018
https://dl.acm.org/doi/10.1145/3268866.3268880
Hamidi FScheuerman MBranham SMandryk RHancock MPerry MCox A(2018)Gender Recognition or Gender Reductionism?Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3173582(1-13)Online publication date: 21-Apr-2018
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Hu J(2018)An approach to EEG-based gender recognition using entropy measurement methodsKnowledge-Based Systems10.1016/j.knosys.2017.10.032140:C(134-141)Online publication date: 15-Jan-2018
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Sang DCuong LVan Thieu VThang HHu ZBui MSikdar BIDE IBinh HEngchuan WSang DOanh N(2017)Multi-task learning for smile detection, emotion recognition and gender classificationProceedings of the 8th International Symposium on Information and Communication Technology10.1145/3155133.3155207(340-347)Online publication date: 7-Dec-2017
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Yang WSun CZheng WRicanek K(2017)Gender classification using 3D statistical modelsMultimedia Tools and Applications10.1007/s11042-016-3446-776:3(4491-4503)Online publication date: 1-Feb-2017
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(2016)Human gender classificationInternational Journal of Biometrics10.5555/3059195.30592018:3-4(275-300)Online publication date: 1-Jan-2016
https://dl.acm.org/doi/10.5555/3059195.3059201
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SEXNET: a neural network identifies sex from human faces

Pathological narcissism, cyberbullying victimization and offending among homosexual and heterosexual participants in online dating websites

Homophobia is online: Sexual victimization and risks on the internet and mental health among bisexual, homosexual, pansexual, asexual, and queer adolescents

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