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Publication date Communities Collections Article title Author(s) Journal/Conference
13 Oct 2019 SERC Institute for Infocomm Research Towards Practical Unsupervised Anomaly Detection on Retinal Images Khalil Ouardini Ouardini, Huijuan Yang, Balagopal Unnikrishnan, Manon Romain, Camille Garcin, Houssam Zenati, J. Peter Campbell, Michael F. Chiang, Jayashree Kalpathy-Cramer, Vijay Chandrasekhar, Pavitra Krishnaswamy, Chuan-Sheng Foo DART 2019, MIL3ID 2019: Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data
1 May 2019 SERC Institute for Infocomm Research Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile Mertikopoulos Panayotis, Bruno Lecouat, Houssam Zenati, Chuan-Sheng Foo, Vijay Chandrasekhar, Georgios Piliouras International Conference on Learning Representations (2019)
8 Dec 2018 SERC Institute for Infocomm Research Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images Bruno Lecouat, Ken Chang, Chuan-Sheng Foo, Balagopal Unnikrishnan, James M. Brown, Houssam Zenati, Andrew Beers, Vijay Chandrasekhar, Jayashree Kalpathy-Cramer, Pavitra Krishnaswamy Machine Learning for Health (ML4H) Workshop at NeurIPS 2018
17 Nov 2018 SERC Institute for Infocomm Research Adversarially Learned Anomaly Detection Houssam Zenati, Manon Romain, Chuan-Sheng Foo, Bruno Lecouat, Vijay Chandrasekhar IEEE International Conference on Data Mining 2018
30 Apr 2018 SERC Institute for Infocomm Research Semi-Supervised Learning With GANs: Revisiting Manifold Regularization Chuan Sheng Foo, Houssam Zenati, Bruno Lecouat, Vijay Chandrasekhar ICLR 2018