| Supervised principal component analysis: Visualization, classification and regression on subspaces and submanifolds E Barshan, A Ghodsi, Z Azimifar, MZ Jahromi Pattern Recognition 44 (7), 1357-1371, 2011 | 405 | 2011 |
| Relatif: Identifying explanatory training samples via relative influence E Barshan, ME Brunet, GK Dziugaite International Conference on Artificial Intelligence and Statistics, 1899-1909, 2020 | 109 | 2020 |
| Stage-wise training: An improved feature learning strategy for deep models E Barshan, P Fieguth Feature extraction: Modern questions and challenges, 49-59, 2015 | 38 | 2015 |
| 35.3: Resolution enhancement based on shifted superposition E Barshan, M Lamm, C Scharfenberger, P Fieguth SID Symposium Digest of Technical Papers 46 (1), 514-517, 2015 | 18 | 2015 |
| Evolution in groups: a deeper look at synaptic cluster driven evolution of deep neural networks MJ Shafiee, E Barshan, A Wong arXiv preprint arXiv:1704.02081, 2017 | 13 | 2017 |
| Leca: A learned approach for efficient cover-agnostic watermarking X Luo, M Goebel, E Barshan, F Yang arXiv preprint arXiv:2206.10813, 2022 | 11 | 2022 |
| Learning efficient deep feature representations via transgenerational genetic transmission of environmental information during evolutionary synthesis of deep neural networks MJ Shafiee, E Barshan, F Li, B Chwyl, M Karg, C Scharfenberger, A Wong Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 5 | 2017 |
| Semantics Preserving Adversarial Learning OA Dia, E Barshan, R Babanezhad arXiv preprint arXiv:1903.03905, 2019 | 4 | 2019 |
| Scalable learning for restricted Boltzmann machines E Barshan, P Fieguth 2014 IEEE international conference on image processing (ICIP), 2754-2758, 2014 | 2 | 2014 |
| Scalable multi-neighborhood learning for convolutional networks E Barshan, P Fieguth, A Wong 2015 IEEE 25th International Workshop on Machine Learning for Signal …, 2015 | 1 | 2015 |
| Systems and methods for identifying influential training data points E Barshan, M Brunet US Patent 11,593,673, 2023 | | 2023 |
| Semantics Preserving Adversarial Attacks OA Dia, E Barshan, R Babanezhad stat 1050, 21, 2019 | | 2019 |
| Regularizing Deep Models for Visual Recognition E Barshan Tashnizi University of Waterloo, 2016 | | 2016 |
| Multi-Neighborhood Convolutional Networks E Barshan, P Fieguth, A Wong Journal of Computational Vision and Imaging Systems 1 (1), 2015 | | 2015 |
| Learning an Efficient Texture Model by Supervised Nonlinear Dimensionality Reduction Methods E Barshan, M Behravan, Z Azimifar Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2009 | | 2009 |
| An, Jungkwuen, SAIT, Samsung Electronics Co., 130, Samsungro, Maetandong, Youngtonggu, Suwon 443-803, South Korea; Email: jungkwuen. an@ samsung. com Arai, Toshiaki, JOLED, Inc … M Ayama, G Baasantseren, B Balaganesan, M Banks, Z Bao, E Barshan, ... | | |
