Jason Alan Fries
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Snorkel: Rapid training data creation with weak supervision
A Ratner, SH Bach, H Ehrenberg, J Fries, S Wu, C Ré
Proceedings of the VLDB Endowment. International Conference on Very Large …, 2017
Monitoring hand hygiene via human observers: how should we be sampling?
J Fries, AM Segre, G Thomas, T Herman, K Ellingson, PM Polgreen
Infection control and hospital epidemiology: the official journal of the …, 2012
Brundlefly at SemEval-2016 Task 12: Recurrent neural networks vs. joint inference for clinical temporal information extraction
JA Fries
arXiv preprint arXiv:1606.01433, 2016
Swellshark: A generative model for biomedical named entity recognition without labeled data
J Fries, S Wu, A Ratner, C Ré
arXiv preprint arXiv:1704.06360, 2017
Weakly supervised classification of aortic valve malformations using unlabeled cardiac MRI sequences
JA Fries, P Varma, VS Chen, K Xiao, H Tejeda, P Saha, J Dunnmon, ...
Nature communications 10 (1), 1-10, 2019
Shortfuse: Biomedical time series representations in the presence of structured information
M Fiterau, S Bhooshan, J Fries, C Bournhonesque, J Hicks, E Halilaj, ...
Proceedings of machine learning research 68, 59, 2017
Data programming with DDLite: Putting humans in a different part of the loop
HR Ehrenberg, J Shin, AJ Ratner, JA Fries, C Ré
Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 1-6, 2016
Wireless applications for hospital epidemiology
T Herman, SV Pemmaraju, AM Segre, PM Polgreen, DE Curtis, J Fries, ...
Proceedings of the 1st ACM international workshop on Medical-grade wireless …, 2009
A low-cost non-RFID based method for automated monitoring of hand hygiene compliance
J Fries, C Hlady, T Herman, PM Polgreen, AM Segre
Program and abstracts of the 19th Annual Scientific Meeting of the Society …, 2009
Multi-resolution weak supervision for sequential data
P Varma, F Sala, S Sagawa, J Fries, D Fu, S Khattar, A Ramamoorthy, ...
Advances in Neural Information Processing Systems, 192-203, 2019
A near-real-time method for discovering healthcare worker social networks via wireless devices
C Hlady, D Curtis, M Severson, J Fries, S Pemmaraju, A Segre, T Herman, ...
47th Annual Meeting of the Infectious Disease Society of America, 2009
Similarity-based lstms for time series representation learning in the presence of structured covariates
M Fiterau, J Fries, E Halilaj, N Siranart, S Bhooshan, C Re
29th Conference on Neural Information Processing Systems 3, 2016
Using Craigslist messages for syphilis surveillance
JA Fries, TY Ho, AM Segre, PM Polgreen
Int. Meeting on Emerg. Diseases and Surveil, 2011
Medical device surveillance with electronic health records
A Callahan, JA Fries, C Ré, JI Huddleston, NJ Giori, S Delp, NH Shah
NPJ digital medicine 2 (1), 1-10, 2019
Using online classified ads to identify the geographic footprints of anonymous, casual sex-seeking individuals
JA Fries, AM Segre, PM Polgreen
2012 International Conference on Privacy, Security, Risk and Trust (PASSAT …, 2012
Measure what matters: counts of hospitalized patients are a better metric for health system capacity planning for a reopening
S Kashyap, S Gombar, S Yadlowsky, A Callahan, J Fries, BA Pinsky, ...
medRxiv, 2020
Machine learning for health (ML4H) workshop at NeurIPS 2018
N Antropova, AL Beam, BK Beaulieu-Jones, I Chen, C Chivers, A Dalca, ...
arXiv preprint arXiv:1811.07216, 2018
Mining the demographics of Craigslist casual sex ads to inform public health policy
JA Fries, PM Polgreen, AM Segre
2014 IEEE International Conference on Healthcare Informatics, 61-70, 2014
The use of Craigslist posts for risk behavior and STI surveillance
JA Fries, A Segre, L Polgreen, P Polgreen
Using administrative databases to identify cases of chronic kidney disease …, 2011
Vaccination strategies for healthcare workers based on social networks
D Curtis, S Pemmaraju, C Hlady, J Fries, T Herman, A Segre, P Polgreen
Proceedings of the International Meeting on Emerging Diseases and …, 2009
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