Pranjul Yadav
Pranjul Yadav
Machine Learning, Google
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Cited by
Cited by
Mining electronic health records (EHRs) A survey
P Yadav, M Steinbach, V Kumar, G Simon
ACM Computing Surveys (CSUR) 50 (6), 1-40, 2018
Delay within the 3-hour surviving sepsis campaign guideline on mortality for patients with severe sepsis and septic shock
L Pruinelli, BL Westra, P Yadav, A Hoff, M Steinbach, V Kumar, ...
Critical care medicine 46 (4), 500-505, 2018
Regression with conditional GAN
K Aggarwal, M Kirchmeyer, P Yadav, SS Keerthi, P Gallinari
arXiv preprint arXiv:1905.12868, 2019
Reacting to variations in product demand: An application for conversion rate (cr) prediction in sponsored search
M Tallis, P Yadav
2018 IEEE International Conference on Big Data (Big Data), 1856-1864, 2018
Secondary analysis of an electronic surveillance system combined with multi-focal interventions for early detection of sepsis
BL Westra, S Landman, P Yadav, M Steinbach
Applied clinical informatics 26 (01), 47-66, 2017
Adversarial factorization autoencoder for look-alike modeling
KD Doan, P Yadav, CK Reddy
Proceedings of the 28th ACM International Conference on Information and …, 2019
Detection of precursors to aviation safety incidents due to human factors
I Melnyk, P Yadav, M Steinbach, J Srivastava, V Kumar, A Banerjee
2013 IEEE 13th International Conference on Data Mining Workshops, 407-412, 2013
Visualizing infection surveillance data for policymaking using open source dashboarding
MM Wahi, N Dukach
Applied clinical informatics 10 (03), 534-542, 2019
A data mining approach to determine sepsis guideline impact on inpatient mortality and complications
L Pruinelli, P Yadav, A Hangsleben, J Johnson, S Dey, M McCarty, ...
AMIA Summits on Translational Science Proceedings 2016, 194, 2016
Design, implementation, and validation of a pediatric ICU sepsis prediction tool as clinical decision support
M Dewan, R Vidrine, M Zackoff, Z Paff, B Seger, S Pfeiffer, P Hagedorn, ...
Applied Clinical Informatics 11 (02), 218-225, 2020
Domain adaptation in display advertising: an application for partner cold-start
K Aggarwal, P Yadav, SS Keerthi
Proceedings of the 13th ACM conference on recommender systems, 178-186, 2019
Causal inference in observational data
P Yadav, L Prunelli, A Hoff, M Steinbach, B Westra, V Kumar, G Simon
arXiv preprint arXiv:1611.04660, 2016
Forensic style analysis with survival trajectories
P Yadav, M Steinbach, L Pruinelli, B Westra, C Delaney, V Kumar, ...
2015 IEEE International Conference on Data Mining, 1069-1074, 2015
Frequent Causal Pattern Mining: A Computationally Efficient Framework for Estimating Bias-Corrected Effects
P Yadav, M Steinbach, MR Castro, PJ Caraballo, V Kumar, G Simon
Modelling trajectories for diabetes complications
P Yadav, L Pruinelli, A Hangsleben, S Dey, K Hauwiller, BL Westra, ...
Proceedings of the 4th Workshop on Data Mining for Medicine and Healthcare …, 2015
Angular momentum guided motion concatenation
HPH Shum, T Komura, P Yadav
Computer Animation and Virtual Worlds 20 (2‐3), 385-394, 2009
Regression via implicit models and optimal transport cost minimization
S Manchanda, K Doan, P Yadav, SS Keerthi
arXiv preprint arXiv:2003.01296, 2020
Structured causal inference for rare events: An industrial application to analyze heating-cooling device failure
P Yadav, U Kurup, M Shah
2017 16th IEEE International Conference on Machine Learning and Applications …, 2017
Estimating Disease Onset Time by Modeling Lab Result Trajectories via Bayes Networks
W Oh, P Yadav, V Kumar, PJ Caraballo, MR Castro, MS Steinbach, ...
2017 IEEE International Conference on Healthcare Informatics (ICHI), 374-379, 2017
Causal pattern mining in highly heterogeneous and temporal ehrs data
P Yadav
University of Minnesota, 2017
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