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Publications about 'Loss'
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Articles in journal or book chapters
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Adrien Deliège,
Anthony Cioppa,
and Marc Van Droogenbroeck.
Ghost Loss to Question the Reliability of Training Data.
IEEE Access,
8:44774-44782,
March 2020.
Keyword(s): Deep learning,
Machine learning,
Ghost,
Artificial Intelligence,
Training data,
DeepSport.
[bibtex-entry]
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Anthony Cioppa,
Adrien Deliège,
Silvio Giancola,
Bernard Ghanem,
Marc Van Droogenbroeck,
Rikke Gade,
and Thomas B. Moeslund.
A Context-Aware Loss Function for Action Spotting in Soccer Videos.
In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR),
Seattle, Washington, USA,
pages 13123-13133,
June 2020.
Keyword(s): Action spotting,
Artificial Intelligence,
Soccer,
Deep learning,
Loss,
DeepSport.
[bibtex-entry]
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Adrien Deliège,
Anthony Cioppa,
and Marc Van Droogenbroeck.
An Effective Hit-or-Miss Layer Favoring Feature Interpretation as Learned Prototypes Deformations.
In AAAI Conference on Artificial Intelligence, Workshop on Network Interpretability for Deep Learning,
Honolulu, Hawaii, USA,
pages 1-8,
January 2019.
Keyword(s): Deep learning,
Machine learning,
Artificial intelligence,
Neural network,
Classification,
Capsule,
HitNet,
Hit-or-miss layer,
Feature interpretation,
Centripetal loss,
Prototype,
DeepSport.
[bibtex-entry]
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Philippe Latour and Marc Van Droogenbroeck.
New PVT Metrics with Improved Sensitivity to Sleep Loss: Analysis from Short to Long Time Intervals.
In Managing Fatigue,
San Diego, California, USA,
March 2017.
Keyword(s): PVT metrics,
Fatigue,
Sleep,
Sleep deprivation,
Drowsiness,
Sleepiness.
[bibtex-entry]
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