| Linear regression for face recognition I Naseem, R Togneri, M Bennamoun IEEE transactions on pattern analysis and machine intelligence 32 (11), 2106 …, 2010 | 1194 | 2010 |
| Cost-sensitive learning of deep feature representations from imbalanced data SH Khan, M Hayat, M Bennamoun, FA Sohel, R Togneri IEEE transactions on neural networks and learning systems 29 (8), 3573-3587, 2017 | 1080 | 2017 |
| An overview of speaker identification: Accuracy and robustness issues R Togneri, D Pullella IEEE circuits and systems magazine 11 (2), 23-61, 2011 | 393 | 2011 |
| Automatic shadow detection and removal from a single image SH Khan, M Bennamoun, F Sohel, R Togneri IEEE transactions on pattern analysis and machine intelligence 38 (3), 431-446, 2015 | 278 | 2015 |
| Statistical voice activity detection using low-variance spectrum estimation and an adaptive threshold A Davis, S Nordholm, R Togneri IEEE transactions on audio, speech, and language processing 14 (2), 412-424, 2006 | 234 | 2006 |
| Robust regression for face recognition I Naseem, R Togneri, M Bennamoun Pattern Recognition 45 (1), 104-118, 2012 | 175 | 2012 |
| Automatic feature learning for robust shadow detection SH Khan, M Bennamoun, F Sohel, R Togneri 2014 IEEE conference on computer vision and pattern recognition, 1939-1946, 2014 | 164 | 2014 |
| A discriminative representation of convolutional features for indoor scene recognition SH Khan, M Hayat, M Bennamoun, R Togneri, FA Sohel IEEE Transactions on Image Processing 25 (7), 3372-3383, 2016 | 108 | 2016 |
| Fundamentals of information theory and coding design R Togneri, JS Christopher Chapman and Hall/CRC, 2003 | 106 | 2003 |
| Spectral entropy as speech features for speech recognition AM Toh, R Togneri, S Nordholm Proceedings of PEECS 1, 92, 2005 | 105 | 2005 |
| Sparse representation for speaker identification I Naseem, R Togneri, M Bennamoun 2010 20th International Conference on Pattern Recognition, 4460-4463, 2010 | 92 | 2010 |
| Speaker verification using sparse representation classification JMK Kua, E Ambikairajah, J Epps, R Togneri 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011 | 85 | 2011 |
| Convolutive blind signal separation with post-processing SY Low, S Nordholm, R Togneri IEEE Transactions on Speech and Audio Processing 12 (5), 539-548, 2004 | 84 | 2004 |
| Building an audio-visual corpus of Australian English: large corpus collection with an economical portable and replicable Black Box D Burnham, D Estival, S Fazio, J Viethen, F Cox, R Dale, S Cassidy, ... Twelfth Annual Conference of the International Speech Communication Association, 2011 | 78 | 2011 |
| Geometry driven semantic labeling of indoor scenes SH Khan, M Bennamoun, F Sohel, R Togneri Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 77 | 2014 |
| How well sentence embeddings capture meaning L White, R Togneri, W Liu, M Bennamoun Proceedings of the 20th Australasian document computing symposium, 1-8, 2015 | 76 | 2015 |
| Beyond the 50-minute hour: increasing control, choice, and connections in the lives of low-income women. LA Goodman, KF Smyth, V Banyard American Journal of Orthopsychiatry 80 (1), 3, 2010 | 76 | 2010 |
| A fractional gradient descent-based rbf neural network S Khan, I Naseem, MA Malik, R Togneri, M Bennamoun Circuits, Systems, and Signal Processing 37, 5311-5332, 2018 | 67 | 2018 |
| Learning deep structured network for weakly supervised change detection SH Khan, X He, F Porikli, M Bennamoun, F Sohel, R Togneri arXiv preprint arXiv:1606.02009, 2016 | 65* | 2016 |
| A novel adaptive kernel for the rbf neural networks S Khan, I Naseem, R Togneri, M Bennamoun Circuits, Systems, and Signal Processing 36, 1639-1653, 2017 | 64 | 2017 |
