Frustratingly easy semi-supervised domain adaptation H Daumé III, A Kumar, A Saha Proceedings of the 2010 Workshop on Domain Adaptation for Natural Language …, 2010 | 239 | 2010 |
Co-regularization based semi-supervised domain adaptation A Kumar, A Saha, H Daume Advances in neural information processing systems 23, 2010 | 213 | 2010 |
Domain adaptation meets active learning P Rai, A Saha, H Daumé III, S Venkatasubramanian Proceedings of the NAACL HLT 2010 Workshop on Active Learning for Natural …, 2010 | 176 | 2010 |
Sequential dependencies L Golab, H Karloff, F Korn, A Saha, D Srivastava Proceedings of the VLDB Endowment 2 (1), 574-585, 2009 | 146 | 2009 |
Online Learning of Multiple Tasks and Their Relationships A Saha, P Rai, H Daumé III, S Venkatasubramanian update 1 (1), 2, 0 | 132* | |
Metric functional dependencies N Koudas, A Saha, D Srivastava, S Venkatasubramanian 2009 IEEE 25th International Conference on Data Engineering, 1275-1278, 2009 | 125 | 2009 |
Active supervised domain adaptation A Saha, P Rai, H Daumé, S Venkatasubramanian, SL DuVall Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011 | 104 | 2011 |
Ultra high-dimensional nonlinear feature selection for big biological data M Yamada, J Tang, J Lugo-Martinez, E Hodzic, R Shrestha, A Saha, ... IEEE Transactions on Knowledge and Data Engineering 30 (7), 1352-1365, 2018 | 84 | 2018 |
New pixel-decimation patterns for block matching in motion estimation A Saha, J Mukherjee, S Sural Signal Processing: Image Communication 23 (10), 725-738, 2008 | 60 | 2008 |
A neighborhood elimination approach for block matching in motion estimation A Saha, J Mukherjee, S Sural Signal Processing: Image Communication 26 (8-9), 438-454, 2011 | 47 | 2011 |
Efficient protocols for distributed classification and optimization H Daumé, JM Phillips, A Saha, S Venkatasubramanian Algorithmic Learning Theory: 23rd International Conference, ALT 2012, Lyon …, 2012 | 45 | 2012 |
Characterization and Modeling of PIDX Parallel I/O for Performance Optimization S Kumar, A Saha, V Vishwanath Conference on High Performance Computing Networking, Storage and Analysis, 2013 | 39 | 2013 |
Protocols for learning classifiers on distributed data H Daume III, J Phillips, A Saha, S Venkatasubramanian Artificial Intelligence and Statistics, 282-290, 2012 | 32 | 2012 |
SKIP prediction for fast rate distortion optimization in H. 264 A Saha, K Mallick, J Mukherjee, S Sural IEEE Transactions on Consumer Electronics 53 (3), 1153-1160, 2007 | 29 | 2007 |
HD III, and S. Venkatasubramanian A Saha, P Rai Online learning of multiple tasks and their relationships. In AISTATS, 2011 | 12 | 2011 |
: N-dimensional data analysis and visualization analysis for the National Ignition Campaign PT Bremer, D Maljovec, A Saha, B Wang, J Gaffney, BK Spears, ... Computing and Visualization in Science 17, 1-18, 2015 | 11 | 2015 |
A comparative study of morse complex approximation using different neighborhood graphs D Maljovec, A Saha, P Lindstrom, PT Bremer, B Wang, C Correa, ... Workshop on Topological Methods in Data Analysis and Visualization (accepted), 2013 | 11 | 2013 |
Modeling 4D changes in pathological anatomy using domain adaptation: Analysis of TBI imaging using a tumor database B Wang, M Prastawa, A Saha, SP Awate, A Irimia, MC Chambers, ... Multimodal Brain Image Analysis: Third International Workshop, MBIA 2013 …, 2013 | 11 | 2013 |
Active online multitask learning A Saha, P Rai, H Daumé III, S Venkatasubramanian ICML 2010 Workshop on Budget Learning, 2010 | 10 | 2010 |
Processing data using sequential dependencies L Golab, H Karloff, P Korn, D Srivastava, A Saha US Patent 8,645,309, 2014 | 9 | 2014 |