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Teredesai, Ankur M.
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1

From Innovation to Scale (I2S) - Discuss and Learn How to S..:

, In: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
Teredesai, Ankur M. ; Zeller, Michael ; Bao, Shenghua.. - p. 5888-5889 , 2023
Link: https://dl.acm.org/doi/1..
 
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2

'The good old days': An examination of nostalgia in Faceboo..:

Davalos, Sergio ; Merchant, Altaf ; Rose, Gregory M...
International Journal of Human-Computer Studies.  83 (2015)  - p. 83-93 , 2015
Link: https://doi.org/10.1016/..
 
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3

Trust- and Distrust-Based Recommendations for Controversial..:

Victor, Patricia ; Cornelis, Chris ; Cock, Martine De.
IEEE Intelligent Systems.  26 (2011)  1 - p. 48-55 , 2011
Link: https://doi.org/10.1109/..
 
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4

Whom should I trust? : the impact of key figures on cold..:

, In: Proceedings of the 2008 ACM symposium on Applied computing,
Victor, Patricia ; Cornelis, Chris ; Teredesai, Ankur M.. - p. 2014-2018 , 2008
Link: https://dl.acm.org/doi/1..
 
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5

CoMMA: a framework for integrated multimedia mining using m..:

Teredesai, Ankur M. ; Ahmad, Muhammad A. ; Kanodia, Juveria.
Knowledge and Information Systems.  10 (2005)  2 - p. 135-162 , 2005
Link: https://doi.org/10.1007/..
 
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6

Routing service with real world severe weather:

, In: Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems,
Li, YiRu ; George, Sarah ; Apfelbeck, Craig... - p. 585-588 , 2014
Link: https://dl.acm.org/doi/1..
 
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7

Blockchain Based Cloud Management Architecture for Maximum ..:

Alberto Arias Maestro ; Oscar Sanjuan-Martinez ; Ankur M. Teredesai.
https://www.ijimai.org/journal/bibcite/reference/3259.  , 2023
Link: https://doi.org/10.9781/..
 
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8

Emergency Department Optimization and Load Prediction in Ho..:

Padthe, Karthik K ; Kumar, Vikas ; Eckert, Carly M...
http://arxiv.org/abs/2102.03672.  , 2021
Link: http://arxiv.org/abs/210..
 
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9

Social Public Health Infrastructure for a Smart City Citize..:

, In: Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining,
Teredesai, Ankur - p. 1297-1298 , 2023
Link: https://dl.acm.org/doi/1..
 
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10

Multi-Subset Approach to Early Sepsis Prediction:

, In: 2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE),
Ewig, Kevin ; Lin, Xiangwen ; Stewart, Tucker... - p. 1335-1341 , 2023
Link: https://doi.org/10.1109/..
 
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11

NPRL: Nightly Profile Representation Learning for Early Sep..:

, In: 2023 IEEE International Conference on Big Data (BigData),
Stewart, Tucker ; Stern, Katherine ; O'Keefe, Grant.. - p. 1843-1852 , 2023
Link: https://doi.org/10.1109/..
 
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12

Development of a predictive model for a machine learning–de..:

Kumar, Vikas ; Allen, Christine ; Overman, Steven...
Seminars in Arthroplasty: JSES.  32 (2022)  2 - p. 226-237 , 2022
Link: https://doi.org/10.1053/..
 
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13

Using machine learning to predict internal rotation after a..:

Kumar, Vikas ; Schoch, Bradley S. ; Allen, Christine...
Journal of Shoulder and Elbow Surgery.  31 (2022)  5 - p. e234-e245 , 2022
Link: https://doi.org/10.1016/..
 
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14

Sub-Sequence Graph Representation Learning on High Variabil..:

, In: 2022 IEEE International Conference on Big Data (Big Data),
Teredesai, Ankur ; Huang, Sijin ; Stewart, Tucker... - p. 2082-2092 , 2022
Link: https://doi.org/10.1109/..
 
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15

Survey of Explainable Machine Learning with Visual and Gran..:

, In: Studies in Computational Intelligence; Interpretable Artificial Intelligence: A Perspective of Granular Computing,
Kovalerchuk, Boris ; Ahmad, Muhammad Aurangzeb ; Teredesai, Ankur - p. 217-267 , 2021
Link: https://doi.org/10.1007/..
 
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