| Supervised and semi-supervised separation of sounds from single-channel mixtures P Smaragdis, B Raj, M Shashanka International Conference on Independent Component Analysis and Signal …, 2007 | 325 | 2007 |
| A probabilistic latent variable model for acoustic modeling P Smaragdis, B Raj, M Shashanka Advances in models for acoustic processing, NIPS 148, 8-1, 2006 | 201 | 2006 |
| Probabilistic latent variable models as nonnegative factorizations M Shashanka, B Raj, P Smaragdis Computational intelligence and neuroscience 2008, 2008 | 162 | 2008 |
| Probabilistic latent variable models as nonnegative factorizations M Shashanka, B Raj, P Smaragdis Computational intelligence and neuroscience 2008, 2008 | 162 | 2008 |
| Collective spammer detection in evolving multi-relational social networks S Fakhraei, J Foulds, M Shashanka, L Getoor Proceedings of the 21th acm sigkdd international conference on knowledge …, 2015 | 140 | 2015 |
| Sparse and shift-invariant feature extraction from non-negative data P Smaragdis, B Raj, M Shashanka 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 113 | 2008 |
| User and entity behavior analytics for enterprise security M Shashanka, MY Shen, J Wang 2016 IEEE International Conference on Big Data (Big Data), 1867-1874, 2016 | 106 | 2016 |
| A framework for secure speech recognition P Smaragdis, M Shashanka IEEE Transactions on Audio, Speech, and Language Processing 15 (4), 1404-1413, 2007 | 102 | 2007 |
| A framework for secure speech recognition P Smaragdis, M Shashanka Acoustics, Speech and Signal Processing, IEEE Conference on, IV-969 - IV-972, 2007 | 102 | 2007 |
| A sparse non-parametric approach for single channel separation of known sounds P Smaragdis, M Shashanka, B Raj Advances in neural information processing systems 22, 2009 | 95 | 2009 |
| Model-based real-time whole building energy performance monitoring and diagnostics Z O'Neill, X Pang, M Shashanka, P Haves, T Bailey Journal of Building Performance Simulation 7 (2), 83-99, 2014 | 94 | 2014 |
| Sparse overcomplete latent variable decomposition of counts data M Shashanka, B Raj, P Smaragdis Advances in neural information processing systems 20, 2007 | 87 | 2007 |
| Optimal skewed data allocation on multiple channels with flat broadcast per channel E Ardizzoni, AA Bertossi, MC Pinotti, S Ramaprasad, R Rizzi, ... Computers, IEEE Transactions on 54 (5), 558-572, 2005 | 72 | 2005 |
| Missing data imputation for spectral audio signals P Smaragdis, B Raj, M Shashanka 2009 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2009 | 66 | 2009 |
| Detection of exfiltration and tunneling over DNS A Das, MY Shen, M Shashanka, J Wang 2017 16th IEEE International Conference on Machine Learning and Applications …, 2017 | 57 | 2017 |
| Missing data imputation for time-frequency representations of audio signals P Smaragdis, B Raj, M Shashanka Journal of signal processing systems 65, 361-370, 2011 | 56 | 2011 |
| Separating a foreground singer from background music B Raj, P Smaragdis, M Shashanka, R Singh Proc. Int. Symp. Frontiers Res. Speech Music, 8-9, 2007 | 48 | 2007 |
| Sparse overcomplete decomposition for single channel speaker separation MVS Shashanka, B Raj, P Smaragdis 2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007 | 47 | 2007 |
| Real Time Model-based Energy Diagnostics in Buildings Z O'Neill, M Shashanka, X Pang, P Bhattacharya, T Bailey, P Haves Proc. Building Simulation’11, 2011 | 41 | 2011 |
| System and method for recognizing speech securely using a secure multi-party computation protocol P Smaragdis, M Shashanka US Patent 7,937,270, 2011 | 40 | 2011 |
Paris SmaragdisUniversity of Illinois at Urbana-Champaign / Adobe ResearchVerified email at illinois.edu
