| Attend and diagnose: Clinical time series analysis using attention models H Song, D Rajan, J Thiagarajan, A Spanias Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 332 | 2018 |
| Sparse representations for automatic target classification in SAR images JJ Thiagarajan, KN Ramamurthy, P Knee, A Spanias, V Berisha 2010 4th international symposium on communications, control and signal …, 2010 | 202 | 2010 |
| Lung nodule detection using 3D convolutional neural networks trained on weakly labeled data R Anirudh, JJ Thiagarajan, T Bremer, H Kim Medical Imaging 2016: Computer-Aided Diagnosis 9785, 791-796, 2016 | 119 | 2016 |
| Bootstrapping graph convolutional neural networks for autism spectrum disorder classification R Anirudh, JJ Thiagarajan ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 96 | 2019 |
| Visual exploration of semantic relationships in neural word embeddings S Liu, PT Bremer, JJ Thiagarajan, V Srikumar, B Wang, Y Livnat, ... IEEE transactions on visualization and computer graphics 24 (1), 553-562, 2017 | 91 | 2017 |
| Lose the views: Limited angle CT reconstruction via implicit sinogram completion R Anirudh, H Kim, JJ Thiagarajan, KA Mohan, K Champley, T Bremer Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 80 | 2018 |
| Multiple kernel sparse representations for supervised and unsupervised learning JJ Thiagarajan, KN Ramamurthy, A Spanias IEEE transactions on Image Processing 23 (7), 2905-2915, 2014 | 78 | 2014 |
| Mixing matrix estimation using discriminative clustering for blind source separation JJ Thiagarajan, KN Ramamurthy, A Spanias Digital Signal Processing 23 (1), 9-18, 2013 | 69 | 2013 |
| Deep learning: A guide for practitioners in the physical sciences BK Spears, J Brase, PT Bremer, B Chen, J Field, J Gaffney, M Kruse, ... Physics of Plasmas 25 (8), 080901, 2018 | 56 | 2018 |
| Optimizing kernel machines using deep learning H Song, JJ Thiagarajan, P Sattigeri, A Spanias IEEE transactions on neural networks and learning systems 29 (11), 5528-5540, 2018 | 54 | 2018 |
| Kernel sparse models for automated tumor segmentation JJ Thiagarajan, K Ramamurthy, A Spanias, D Frakes US Patent 9,710,916, 2017 | 51 | 2017 |
| Performance modeling under resource constraints using deep transfer learning A Marathe, R Anirudh, N Jain, A Bhatele, J Thiagarajan, B Kailkhura, ... Proceedings of the International Conference for High Performance Computing …, 2017 | 50 | 2017 |
| Identifying the culprits behind network congestion A Bhatele, AR Titus, JJ Thiagarajan, N Jain, T Gamblin, PT Bremer, ... 2015 IEEE International Parallel and Distributed Processing Symposium, 113-122, 2015 | 50 | 2015 |
| Treeview: Peeking into deep neural networks via feature-space partitioning JJ Thiagarajan, B Kailkhura, P Sattigeri, KN Ramamurthy arXiv preprint arXiv:1611.07429, 2016 | 49 | 2016 |
| Visual Exploration of High‐Dimensional Data through Subspace Analysis and Dynamic Projections S Liu, B Wang, JJ Thiagarajan, PT Bremer, V Pascucci Computer Graphics Forum 34 (3), 271-280, 2015 | 49 | 2015 |
| Multilevel dictionary learning for sparse representation of images JJ Thiagarajan, KN Ramamurthy, A Spanias 2011 Digital Signal Processing and Signal Processing Education Meeting (DSP …, 2011 | 45 | 2011 |
| Learning stable multilevel dictionaries for sparse representations JJ Thiagarajan, KN Ramamurthy, A Spanias IEEE transactions on neural networks and learning systems 26 (9), 1913-1926, 2014 | 38 | 2014 |
| A generative modeling approach to limited channel ECG classification D Rajan, JJ Thiagarajan 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 37 | 2018 |
| Mimicgan: Robust projection onto image manifolds with corruption mimicking R Anirudh, JJ Thiagarajan, B Kailkhura, PT Bremer International Journal of Computer Vision 128, 2459-2477, 2020 | 36 | 2020 |
| Shift-invariant sparse representation of images using learned dictionaries JJ Thiagarajan, KN Ramamurthy, A Spanias 2008 IEEE Workshop on Machine Learning for Signal Processing, 145-150, 2008 | 35 | 2008 |
Andreas SpaniasArizona State UniversityVerified email at asu.edu
