Prithwish Chakraborty  Prithwish Chakraborty photo         

contact information

Research Staff Member
Thomas J. Watson Research Center, Yorktown Heights, NY USA


Professional Associations

Professional Associations:  ACM SIGKDD  |  AMIA


Results from the second year of a collaborative effort to forecast influenza seasons in the United States
Matthew Biggerstaff, Michael Johansson, David Alper, Logan C. Brooks, Prithwish Chakraborty, David C. Farrow, Sangwon Hyun, Sasikiran Kandula, Craig McGowan, Naren Ramakrishnan, Roni Rosenfeld, Jeffrey Shaman, Rob Tibshirani, Ryan J. Tibshirani, Alessandr
Epidemics, 2018


Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks
Saurav Ghosh, Prithwish Chakraborty, Elaine O Nsoesie, Emily Cohn, Sumiko R Mekaru, John S Brownstein, Naren Ramakrishnan
Scientific reports7, 40841, Nature Publishing Group, 2017

A framework for evaluating epidemic forecasts
Farzaneh Sadat Tabataba, Prithwish Chakraborty, Naren Ramakrishnan, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan Lewis, Madhav Marathe
BMC infectious diseases 17(1), 345, BioMed Central, 2017

GELL: Automatic Extraction of Epidemiological Line Lists from Open Sources
Saurav Ghosh, Prithwish Chakraborty, Bryan L Lewis, Maimuna S Majumder, Emily Cohn, John S Brownstein, Madhav V Marathe, Naren Ramakrishnan
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1477--1485, 2017

A Novel Data-Driven Framework for Risk Characterization and Prediction from Electronic Medical Records: A Case Study of Renal Failure
Prithwish Chakraborty, Vishrawas Gopalakrishnan, Sharon MH Alford, Faisal Farooq
Unpublished, 2017
arXiv preprint arXiv:1711.11022, accepted in NIPS ML4H 2017 workshop. Early draft presented to AMIA 2017


Characterizing Diseases from Unstructured Text: A Vocabulary Driven Word2vec Approach
Saurav Ghosh, Prithwish Chakraborty, Emily Cohn, John S Brownstein, Naren Ramakrishnan
Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, pp. 1129--1138, 2016

Generating Realistic Synthetic Population Datasets
Hao Wu, Yue Ning, Prithwish Chakraborty, Jilles Vreeken, Nikolaj Tatti, Naren Ramakrishnan
Unpublished, 2016
arXiv preprint arXiv:1602.06844, to appear in Transactions on Knowledge Discovery from Data


Dynamic Poisson Autoregression for Influenza-Like-Illness Case Count Prediction
Zheng Wang, Prithwish Chakraborty, Sumiko R. Mekaru, John S. Brownstein, Jieping Ye, Naren Ramakrishnan
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1285--1294, ACM, 2015


Forecasting a Moving Target: Ensemble Models for ILI Case Count Predictions
Prithwish Chakraborty, Pejman Khadivi, Bryan Lewis, Aravindan Mahendiran, Jiangzhuo Chen, Patrick Butler, Elaine O. Nsoesie, Sumiko R. Mekaru, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan
Proceedings of the 2014 SIAM International Conference on Data Mining, Philadelphia, Pennsylvania, USA, April 24-26, 2014, pp. 262--270


Discrete harmony search based expert model for epileptic seizure detection in electroencephalography
Tapan Kumar Gandhi, Prithwish Chakraborty, Gourab Ghosh Roy, Bijay Ketan Panigrahi
Expert Systems with Applications 39(4), 4055--4062, Pergamon, 2012

Fine-Grained Photovoltaic Output Prediction Using a Bayesian Ensemble
Prithwish Chakraborty, Manish Marwah, Martin Arlitt, Naren Ramakrishnan
Twenty-Sixth AAAI Conference on Artificial Intelligence, pp. online, 2012

The Deshredder: A visual analytic approach to reconstructing shredded documents
Patrick Butler, Prithwish Chakraborty, Naren Ramakrishan
Visual Analytics Science and Technology (VAST), 2012 IEEE Conference on, pp. 113--122


On convergence of the multi-objective particle swarm optimizers
Prithwish Chakraborty, Swagatam Das, Gourab Ghosh Roy, Ajith Abraham
Information Sciences 181(8), 1411--1425, Elsevier, 2011


On population variance and explorative power of invasive weed optimization algorithm
P Chakraborty, G Ghosh Roy, S Das, BK Panigrahi
Nature \& Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on, pp. 227--232