| Fixed point quantization of deep convolutional networks D Lin, S Talathi, S Annapureddy International conference on machine learning, 2849-2858, 2016 | 981 | 2016 |
| Improving performance of recurrent neural network with relu nonlinearity SS Talathi, A Vartak arXiv preprint arXiv:1511.03771, 2015 | 111 | 2015 |
| Adaptive selection of artificial neural networks D Lin, VSR Annapureddy, SS Talathi, M Staskauskas, A Vartak, RB Towal, ... US Patent App. 14/878,689, 2016 | 89 | 2016 |
| Computational models of epilepsy RA Stefanescu, RG Shivakeshavan, SS Talathi Seizure 21 (10), 748-759, 2012 | 88 | 2012 |
| Openeds: Open eye dataset SJ Garbin, Y Shen, I Schuetz, R Cavin, G Hughes, SS Talathi arXiv preprint arXiv:1905.03702, 2019 | 79 | 2019 |
| Fast SVM training using approximate extreme points M Nandan, PP Khargonekar, SS Talathi The Journal of Machine Learning Research 15 (1), 59-98, 2014 | 69 | 2014 |
| Support vector machines for seizure detection in an animal model of chronic epilepsy M Nandan, SS Talathi, S Myers, WL Ditto, PP Khargonekar, PR Carney Journal of Neural Engineering 7 (3), 036001, 2010 | 62 | 2010 |
| Deep recurrent neural networks for seizure detection and early seizure detection systems SS Talathi arXiv preprint arXiv:1706.03283, 2017 | 61 | 2017 |
| Granger causality relationships between local field potentials in an animal model of temporal lobe epilepsy AJ Cadotte, TB DeMarse, TH Mareci, MB Parekh, SS Talathi, DU Hwang, ... Journal of neuroscience methods 189 (1), 121-129, 2010 | 56 | 2010 |
| Overcoming challenges in fixed point training of deep convolutional networks DD Lin, SS Talathi arXiv preprint arXiv:1607.02241, 2016 | 53 | 2016 |
| Method for improving performance of a trained machine learning model SS Talathi, A Vartak US Patent 10,332,028, 2019 | 52 | 2019 |
| Hyper-parameter selection for deep convolutional networks SS Talathi, DJ Julian US Patent 10,275,719, 2019 | 45 | 2019 |
| Circadian control of neural excitability in an animal model of temporal lobe epilepsy SS Talathi, DU Hwang, WL Ditto, T Mareci, H Sepulveda, M Spano, ... Neuroscience letters 455 (2), 145-149, 2009 | 44 | 2009 |
| Neural network for image processing SS Talathi US Patent 10,510,146, 2019 | 40 | 2019 |
| Spike timing dependent plasticity promotes synchrony of inhibitory networks in the presence of heterogeneity SS Talathi, DU Hwang, WL Ditto Journal of Computational Neuroscience 25, 262-281, 2008 | 38 | 2008 |
| Method and system for detecting epileptogenesis SS Talathi, DU Hwang, WL Ditto, PR Carney, M Spano US Patent 8,447,407, 2013 | 36 | 2013 |
| Non-parametric early seizure detection in an animal model of temporal lobe epilepsy SS Talathi, DU Hwang, ML Spano, J Simonotto, MD Furman, SM Myers, ... Journal of Neural Engineering 5 (1), 85, 2008 | 34 | 2008 |
| Hyper-parameter optimization of deep convolutional networks for object recognition SS Talathi 2015 IEEE international conference on image processing (ICIP), 3982-3986, 2015 | 32 | 2015 |
| Temporal lobe epilepsy: anatomical and effective connectivity AJ Cadotte, TH Mareci, TB DeMarse, MB Parekh, R Rajagovindan, ... IEEE Transactions on neural systems and rehabilitation engineering 17 (3 …, 2008 | 32 | 2008 |
| Synaptic plasticity with discrete state synapses HDI Abarbanel, SS Talathi, L Gibb, MI Rabinovich Physical Review E 72 (3), 031914, 2005 | 32 | 2005 |
Paul CarneyUniversity North Carolina at Chapel HillVerified email at unc.edu
