| Interpretable machine learning in healthcare MA Ahmad, C Eckert, A Teredesai Proceedings of the 2018 ACM international conference on bioinformatics …, 2018 | 194 | 2018 |
| Ranking approaches for microblog search R Nagmoti, A Teredesai, M De Cock 2010 IEEE/WIC/ACM International Conference on Web Intelligence and …, 2010 | 188 | 2010 |
| Trust-and distrust-based recommendations for controversial reviews P Victor, C Cornelis, M De Cock, A Teredesai Web Science Conference (WebSci'09: Society On-Line), 2009 | 155 | 2009 |
| Age and gender identification in social media J Marquardt, G Farnadi, G Vasudevan, MF Moens, S Davalos, ... Proceedings of CLEF 2014 Evaluation Labs 1180, 1129-1136, 2014 | 93 | 2014 |
| Big data solutions for predicting risk-of-readmission for congestive heart failure patients K Zolfaghar, N Meadem, A Teredesai, SB Roy, SC Chin, B Muckian 2013 IEEE International Conference on Big Data, 64-71, 2013 | 83 | 2013 |
| ‘The good old days’: An examination of nostalgia in Facebook posts S Davalos, A Merchant, GM Rose, BJ Lessley, AM Teredesai International Journal of Human-Computer Studies 83, 83-93, 2015 | 60 | 2015 |
| Extracting social networks from instant messaging populations J Resig, S Dawara, CM Homan, A Teredesai Proc. of ACM SIGKDD, 22-25, 2004 | 56 | 2004 |
| Whom should I trust? The impact of key figures on cold start recommendations P Victor, C Cornelis, AM Teredesai, M De Cock Proceedings of the 2008 ACM symposium on Applied computing, 2014-2018, 2008 | 52 | 2008 |
| Key figure impact in trust-enhanced recommender systems P Victor, C Cornelis, M De Cock, AM Teredesai Ai Communications 21 (2-3), 127-143, 2008 | 52 | 2008 |
| Dynamic hierarchical classification for patient risk-of-readmission S Basu Roy, A Teredesai, K Zolfaghar, R Liu, D Hazel, S Newman, ... Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015 | 49 | 2015 |
| Minimizing makespan and total completion time in mapreduce-like systems Y Zhu, Y Jiang, W Wu, L Ding, A Teredesai, D Li, W Lee IEEE INFOCOM 2014-IEEE Conference on Computer Communications, 2166-2174, 2014 | 49 | 2014 |
| A comparative analysis of trust-enhanced recommenders for controversial items P Victor, C Cornelis, M De Cock, AM Teredesai Third International AAAI Conference on Weblogs and Social Media, 2009 | 47 | 2009 |
| Population cost prediction on public healthcare datasets S Sushmita, S Newman, J Marquardt, P Ram, V Prasad, MD Cock, ... Proceedings of the 5th International Conference on Digital Health 2015, 87-94, 2015 | 44 | 2015 |
| Acm sigspatial gis cup 2012 M Ali, J Krumm, T Rautman, A Teredesai Proceedings of the 20th International Conference on Advances in Geographic …, 2012 | 39 | 2012 |
| A framework for mining instant messaging services J Resig, A Teredesai In Proceedings of the 2004 SIAM DM Conference, 2004 | 34 | 2004 |
| Issues in evolving GP based classifiers for a pattern recognition task AM Teredesai, V Govindaraju Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No …, 2004 | 32 | 2004 |
| Modeling spread of ideas in online social networks MA Ahmad, A Teredesai Proceedings of the fifth Australasian conference on Data mining and …, 2006 | 31 | 2006 |
| Predicting 30-day risk and cost of" All-Cause" hospital readmissions S Sushmita, G Khulbe, A Hasan, S Newman, P Ravindra, SB Roy, ... Workshops at the thirtieth AAAI conference on artificial intelligence, 2016 | 30 | 2016 |
| A pervasive dietary data recording system J Shang, K Sundara-Rajan, L Lindsey, A Mamishev, E Johnson, ... 2011 IEEE International Conference on Pervasive Computing and Communications …, 2011 | 30 | 2011 |
| VENUS: A System for Novelty Detection in Video Streams with Learning. RS Gaborski, VS Vaingankar, V Chaoji, A Teredesai, A Tentler FLAIRS Conference, 232-238, 2004 | 27 | 2004 |
