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Publications about 'Loss'
Articles in journal or book chapters
  1. A. Deliège, A. Cioppa, and M. 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]


Conference articles
  1. A. Cioppa, A. Deliège, S. Giancola, B. Ghanem, M. Van Droogenbroeck, R. Gade, and T. 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]


  2. A. Deliège, A. Cioppa, and M. 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]


  3. P. Latour and M. 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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Last modified: Fri Oct 2 15:41:54 2020