| PROSPECT: a system for screening candidates for recruitment A Singh, C Rose, K Visweswariah, V Chenthamarakshan, N Kambhatla Proceedings of the 19th ACM international conference on Information and …, 2010 | 114 | 2010 |
| Fairness GAN: Generating datasets with fairness properties using a generative adversarial network P Sattigeri, SC Hoffman, V Chenthamarakshan, KR Varshney Proc. ICLR Workshop Safe Mach. Learn 2, 2019 | 68 | 2019 |
| Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulations P Das, T Sercu, K Wadhawan, I Padhi, S Gehrmann, F Cipcigan, ... Nature Biomedical Engineering, 1-11, 2021 | 61 | 2021 |
| Cogmol: Target-specific and selective drug design for covid-19 using deep generative models V Chenthamarakshan, P Das, S Hoffman, H Strobelt, I Padhi, KW Lim, ... Advances in Neural Information Processing Systems 33, 2020 | 54* | 2020 |
| Syntax based reordering with automatically derived rules for improved statistical machine translation K Visweswariah, J Navrátil, J Sorensen, V Chenthamarakshan, ... Proceedings of the 23rd International Conference on Computational …, 2010 | 46 | 2010 |
| Predicting employee expertise for talent management in the enterprise KR Varshney, V Chenthamarakshan, SW Fancher, J Wang, D Fang, ... Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 41 | 2014 |
| Method for an efficient electronic messaging system SO Agrawal, VE Chenthamarakshan, EWB Dlas US Patent 7,890,591, 2011 | 37 | 2011 |
| Fairness GAN P Sattigeri, SC Hoffman, V Chenthamarakshan, KR Varshney arXiv preprint arXiv:1805.09910, 2018 | 36 | 2018 |
| Rule based synonyms for entity extraction from noisy text R Ananthanarayanan, V Chenthamarakshan, PM Deshpande, ... Proceedings of the second workshop on Analytics for noisy unstructured text …, 2008 | 36 | 2008 |
| PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences P Das, K Wadhawan, O Chang, T Sercu, CD Santos, M Riemer, I Padhi, ... arXiv preprint arXiv:1810.07743, 2018 | 32 | 2018 |
| Concept labeling: Building text classifiers with minimal supervision V Chenthamarakshan, P Melville, V Sindhwani, RD Lawrence Proceedings of the Twenty-Second international joint conference on …, 2011 | 31 | 2011 |
| System and method for domain adaption with partial observation VE Chenthamarakshan, RD Lawrence, Y Liu, D Zhang US Patent 8,856,052, 2014 | 29 | 2014 |
| Matching candidates with positions based on historical assignment data VE Chenthamarakshan, N Kambhatla, RC Kanjiranthinkal, AKR Singh, ... US Patent App. 13/596,817, 2012 | 22* | 2012 |
| System and method for domain adaption with partial observation VE Chenthamarakshan, RD Lawrence, Y Liu, D Zhang US Patent 8,856,050, 2014 | 20 | 2014 |
| System and method for domain adaption with partial observation VE Chenthamarakshan, RD Lawrence, Y Liu, D Zhang US Patent 8,856,050, 2014 | 20 | 2014 |
| Amplifying the voice of youth in Africa via text analytics P Melville, V Chenthamarakshan, RD Lawrence, J Powell, M Mugisha, ... Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 20 | 2013 |
| SYSTEMS AND METHODS FOR MATCHING CANDIDATES WITH POSITIONS BASED ON HISTORICAL ASSIGNMENT DATA VE Chenthamarakshan, N Kambhatla, RC Kanjiranthinkal, AKR Singh, ... US Patent App. 12/944,868, 2010 | 20 | 2010 |
| Transfer latent semantic learning: Microblog mining with less supervision D Zhang, Y Liu, R Lawrence, V Chenthamarakshan Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 2011 | 15 | 2011 |
| Leveraging social networks for corporate staffing and expert recommendation V Chenthamarakshan, K Dey, J Hu, A Mojsilovic, W Riddle, V Sindhwani IBM Journal of Research and Development 53 (6), 11: 1-11: 10, 2009 | 11 | 2009 |
| System and method for domain adaption with partial observation VE Chenthamarakshan, RD Lawrence, Y Liu, D Zhang US Patent App. 13/618,603, 2013 | 10 | 2013 |
Aleksandra MojsilovicIBM ResearchVerified email at us.ibm.com
