Jayaraman J. Thiagarajan

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Andreas SpaniasArizona State UniversityVerified email at asu.edu
Karthikeyan Natesan RamamurthyResearch Staff Member, IBM Thomas J Watson Research Center, Yorktown Heights, NYVerified email at us.ibm.com
Peer-Timo BremerLawrence Livermore National LaboratoryVerified email at llnl.gov
Rushil AnirudhLawrence Livermore National LaboratoryVerified email at llnl.gov
Prasanna SattigeriIBM Research AI, MIT-IBM Watson AI LabVerified email at us.ibm.com
Huan SongBosch ResearchVerified email at asu.edu
Bhavya KailkhuraResearch Staff, Lawrence Livermore National LaboratoryVerified email at syr.edu
Deepta RajanIBM Research AIVerified email at asu.edu
Abhinav BhateleAssistant Professor of Computer Science, University of Maryland, College ParkVerified email at cs.umd.edu
刘树森 Shusen LiuResearch Scientist, Lawrence Livermore National LaboratoryVerified email at sci.utah.edu
Brian SpearsPhysicist, Lawrence Livermore National LaboratoryVerified email at llnl.gov
Mahesh BanavarClarkson UniversityVerified email at clarkson.edu
Valerio PascucciEndowed Chair professor and Director of the Center for Extreme Data Management Analysis andVerified email at sci.utah.edu
Todd GamblinLawrence Livermore National LaboratoryVerified email at llnl.gov
Nikhil JainNvidiaVerified email at nvidia.com
Visar BerishaAssociate Professor, School of ECEE and College of Health Solutions, Arizona State UniversityVerified email at asu.edu
Pavan TuragaGeometric Media Lab, Arizona State UniversityVerified email at asu.edu
Jae-Seung YeomLawrence Livermore National LaboratoryVerified email at llnl.gov
David FrakesAssociate Professor of Biomedical and Electrical Engineering, Georgia Institute of TechnologyVerified email at gatech.edu
Pramod VarshneyDistinguished Professor of EECS, Syracuse UniversityVerified email at syr.edu

Jayaraman J. Thiagarajan

Machine Learning Researcher, Lawrence Livermore National Labs

Verified email at asu.edu - Homepage

Machine Learning Deep Learning Computer Vision Healthcare AI Scientific Machine Learning


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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	152	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	144	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, 978532, 2016	85	2016
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	67	2014
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	64	2017
Mixing matrix estimation using discriminative clustering for blind source separation JJ Thiagarajan, KN Ramamurthy, A Spanias Digital Signal Processing 23 (1), 9-18, 2013	60	2013
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	44	2011
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	42	2018
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	42	2015
Kernel sparse models for automated tumor segmentation JJ Thiagarajan, K Ramamurthy, A Spanias, D Frakes US Patent 9,710,916, 2017	40	2017
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
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	37	2015
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	36	2019
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	36	2018
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	34	2008
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	33	2017
Optimality and stability of the K-hyperline clustering algorithm JJ Thiagarajan, KN Ramamurthy, A Spanias Pattern Recognition Letters 32 (9), 1299-1304, 2011	29	2011
Interactive DSP laboratories on mobile phones and tablets J Liu, S Hu, JJ Thiagarajan, X Zhang, S Ranganath, MK Banavar, ... 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012	27	2012
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	26	2018
Analysis of the MPEG-1 Layer III (MP3) algorithm using MATLAB JJ Thiagarajan, A Spanias Synthesis Lectures on Algorithms and Software in Engineering 3 (3), 1-129, 2011	25	2011

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