| Interpretable machine learning in healthcare MA Ahmad, C Eckert, A Teredesai Proceedings of the 2018 ACM international conference on bioinformatics …, 2018 | 516 | 2018 |
| Ranking approaches for microblog search R Nagmoti, A Teredesai, M De Cock 2010 IEEE/WIC/ACM International Conference on Web Intelligence and …, 2010 | 194 | 2010 |
| Trust-and distrust-based recommendations for controversial reviews P Victor, C Cornelis, M De Cock, AM Teredesai IEEE Intelligent Systems 26 (1), 48-55, 2011 | 160 | 2011 |
| 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 | 108 | 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 | 97 | 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 | 86 | 2015 |
| 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 | 71 | 2015 |
| 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 | 64 | 2015 |
| 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 | 54 | 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 | 54 | 2008 |
| Extracting social networks from instant messaging populations J Resig, S Dawara, CM Homan, A Teredesai Proc. of ACM SIGKDD, 22-25, 2004 | 54 | 2004 |
| Fairness in machine learning for healthcare MA Ahmad, A Patel, C Eckert, V Kumar, A Teredesai Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 50 | 2020 |
| 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 | 50 | 2014 |
| A comparative analysis of trust-enhanced recommenders for controversial items P Victor, C Cornelis, M De Cock, A Teredesai Proceedings of the International AAAI Conference on Web and Social Media 3 …, 2009 | 48 | 2009 |
| 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 | 41 | 2016 |
| Acm sigspatial gis cup 2012 M Ali, J Krumm, T Rautman, A Teredesai Proceedings of the 20th International Conference on Advances in Geographic …, 2012 | 40 | 2012 |
| A framework for mining instant messaging services J Resig, A Teredesai In Proceedings of the 2004 SIAM DM Conference, 2004 | 35 | 2004 |
| Survey of explainable machine learning with visual and granular methods beyond quasi-explanations B Kovalerchuk, MA Ahmad, A Teredesai Interpretable artificial intelligence: A perspective of granular computing …, 2021 | 34 | 2021 |
| What is the accuracy of three different machine learning techniques to predict clinical outcomes after shoulder arthroplasty? V Kumar, C Roche, S Overman, R Simovitch, PH Flurin, T Wright, ... Clinical Orthopaedics and Related Research 478 (10), 2020 | 34 | 2020 |
| 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 | 33 | 2004 |
