Jason Alan Fries
TitleCited byYear
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 11 (3), 269-282, 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 & Hospital Epidemiology 33 (7), 689-695, 2012
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
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
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, 13, 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
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
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, ...
BioRxiv, 339630, 2019
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
Using Craigslist messages for syphilis surveillance
JA Fries, A Ho, AM Segre, PM Polgreen
International Meeting on Emerging Diseases and Surveillance (IMED), 2011
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, 2016
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 and 2012 …, 2012
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
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
Machine Learning for Health (ML4H) Workshop at NeurIPS 2018
N Antropova, A Bream, BK Beaulieu-Jones, I Chen, C Chivers, A Dalca, ...
arXiv preprint arXiv:1811.07216, 2018
iScrub: a pilot intervention with feedback from a companion website
CS Hlady, DE Curtis, JA Fries, AM Segre, PM Polgreen
21st Annual Scientific Meeting of the Society for Healthcare Epidemiology of …, 2011
Multi-frame weak supervision to label wearable sensor data
S Khattar, H O'Day, P Varma, J Fries, J Hicks, S Delp, H Bronte-Stewart, ...
Proceedings of the Time Series Workshop at ICML 2019, 2019
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