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Ankur Teredesai
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Year
Optuna: A next-generation hyperparameter optimization framework
T Akiba, S Sano, T Yanase, T Ohta, M Koyama
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
50342019
Interpretable machine learning in healthcare
MA Ahmad, C Eckert, A Teredesai
Proceedings of the 2018 ACM international conference on bioinformatics …, 2018
7412018
Ranking approaches for microblog search
R Nagmoti, A Teredesai, M De Cock
2010 IEEE/WIC/ACM International Conference on Web Intelligence and …, 2010
1942010
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
1672011
Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining
A Teredesai
Association for Computing Machinery, 2019
1192019
Age and Gender Identification in Social Media.
J Marquardt, G Farnadi, G Vasudevan, MF Moens, S Davalos, ...
CLEF (Working Notes), 1129-1136, 2014
1122014
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
1092013
‘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
962015
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
852020
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
812015
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
692015
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), 2351-2363, 2020
612020
Validation of a machine learning–derived clinical metric to quantify outcomes after total shoulder arthroplasty
C Roche, V Kumar, S Overman, R Simovitch, PH Flurin, T Wright, ...
Journal of Shoulder and Elbow Surgery 30 (10), 2211-2224, 2021
572021
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
572021
Using machine learning to predict clinical outcomes after shoulder arthroplasty with a minimal feature set
V Kumar, C Roche, S Overman, R Simovitch, PH Flurin, T Wright, ...
Journal of shoulder and elbow surgery 30 (5), e225-e236, 2021
562021
Extracting social networks from instant messaging populations
J Resig, S Dawara, CM Homan, A Teredesai
Proc. of ACM SIGKDD, 22-25, 2004
552004
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
542014
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
532008
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
532008
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
502009
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