| Comparative study of deep learning software frameworks S Bahrampour, N Ramakrishnan, L Schott, M Shah arXiv preprint arXiv:1511.06435, 2015 | 222 | 2015 |
| Comparative study of caffe, neon, theano, and torch for deep learning S Bahrampour, N Ramakrishnan, L Schott, M Shah | 140 | 2016 |
| A fast proximal method for convolutional sparse coding R Chalasani, JC Principe, N Ramakrishnan The 2013 International Joint Conference on Neural Networks (IJCNN), 1-5, 2013 | 110 | 2013 |
| System and method for detection of high-interest events in video data N Ramakrishnan, I Naim US Patent 9,589,190, 2017 | 45 | 2017 |
| Enhancement of coupled multichannel images using sparsity constraints N Ramakrishnan, E Ertin, RL Moses IEEE Transactions on Image Processing 19 (8), 2115-2126, 2010 | 37 | 2010 |
| Admm based scalable machine learning on spark S Dhar, C Yi, N Ramakrishnan, M Shah 2015 IEEE International Conference on Big Data (Big Data), 1174-1182, 2015 | 28 | 2015 |
| Deep learning on symbolic representations for large-scale heterogeneous time-series event prediction S Zhang, S Bahrampour, N Ramakrishnan, L Schott, M Shah 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 26 | 2017 |
| Gossip-based algorithm for joint signature estimation and node calibration in sensor networks N Ramakrishnan, E Ertin, RL Moses IEEE Journal of Selected Topics in Signal Processing 5 (4), 665-673, 2011 | 23 | 2011 |
| Pseudoprop: Robust pseudo-label generation for semi-supervised object detection in autonomous driving systems S Hu, CH Liu, J Dutta, MC Chang, S Lyu, N Ramakrishnan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 12 | 2022 |
| Distributed NoSQL data stores: Performance analysis and a case study A Hendawi, J Gupta, L Jiayi, A Teredesai, R Naveen, S Mohak, M Ali 2018 IEEE International Conference on Big Data (Big Data), 1937-1944, 2018 | 12 | 2018 |
| Benchmarking large-scale data management for Internet of Things A Hendawi, J Gupta, J Liu, A Teredesai, N Ramakrishnan, M Shah, ... The Journal of Supercomputing 75, 8207-8230, 2019 | 11 | 2019 |
| Minutiae-guided fingerprint embeddings via vision transformers SA Grosz, JJ Engelsma, R Ranjan, N Ramakrishnan, M Aggarwal, ... arXiv preprint arXiv:2210.13994, 2022 | 10 | 2022 |
| Comparative study of deep learning software frameworks B Soheil, R Naveen, S Lukas, S Mohak arXiv preprint arXiv:1511.06435, 2016 | 10 | 2016 |
| Personal emergency response system by nonintrusive load monitoring R Klinnert, N Ramakrishnan, M Dambier, F Maus, D Benitez US Patent App. 14/133,715, 2014 | 9 | 2014 |
| System and method for distributed parking area map generation and parking area service using in-vehicle sensors G Wunder, F Brockmann, N Ramakrishnan, M Maier, R Kapoor, ... US Patent 10,839,686, 2020 | 7 | 2020 |
| Universum learning for multiclass SVM S Dhar, N Ramakrishnan, V Cherkassky, M Shah arXiv preprint arXiv:1609.09162, 2016 | 7 | 2016 |
| Assumed density filtering for learning Gaussian process models N Ramakrishnan, E Ertin, RL Moses 2011 IEEE Statistical Signal Processing Workshop (SSP), 257-260, 2011 | 7 | 2011 |
| Joint enhancement of multichannel SAR data N Ramakrishnan, E Ertin, RL Moses Algorithms for Synthetic Aperture Radar Imagery XIV 6568, 88-96, 2007 | 7 | 2007 |
| Comparative study of Caffe S Bahrampour, N Ramakrishnan, L Schott, M Shah Neon, Theano, and Torch for Deep Learning. arXiv 1511, 2015 | 6 | 2015 |
| Disease characteristics, care-seeking behavior, and outcomes associated with the use of AYUSH-64 in COVID-19 patients in home isolation in India: A community-based cross … N Srikanth, A Kumar, B Chandrasekhararao, R Singhal, B Yadav, ... Frontiers in public health 10, 904279, 2022 | 5 | 2022 |
Soheil BahrampourGoogleVerified email at google.com
