Jason Alan Fries
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
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
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
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
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
Shortfuse: Biomedical time series representations in the presence of structured information
M Fiterau, S Bhooshan, J Fries, C Bournhonesque, J Hicks, E Halilaj, ...
Machine Learning for Healthcare Conference, 59-74, 2017
Estimating the efficacy of symptom-based screening for COVID-19
A Callahan, E Steinberg, JA Fries, S Gombar, B Patel, CK Corbin, ...
NPJ digital medicine 3 (1), 1-3, 2020
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
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
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
Language models are an effective representation learning technique for electronic health record data
E Steinberg, K Jung, JA Fries, CK Corbin, SR Pfohl, NH Shah
Journal of Biomedical Informatics 113, 103637, 2021
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, ...
Journal of the American Medical Informatics Association 27 (7), 1026-1131, 2020
Assessing the accuracy of automatic speech recognition for psychotherapy
AS Miner, A Haque, JA Fries, SL Fleming, DE Wilfley, GT Wilson, ...
NPJ digital medicine 3 (1), 1-8, 2020
Relations of alpine plant communities across environmental gradients: Multilevel versus multiscale analyses
GP Malanson, DL Zimmerman, M Kinney, DB Fagre
Annals of the American Association of Geographers 107 (1), 41-53, 2017
Multi-resolution weak supervision for sequential data
F Sala, P Varma, J Fries, DY Fu, S Sagawa, S Khattar, A Ramamoorthy, ...
arXiv preprint arXiv:1910.09505, 2019
Ontology-driven weak supervision for clinical entity classification in electronic health records
JA Fries, E Steinberg, S Khattar, SL Fleming, J Posada, A Callahan, ...
Nature communications 12 (1), 1-11, 2021
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
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-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
Using Craigslist messages for syphilis surveillance
JA Fries, TY Ho, AM Segre, PM Polgreen
International Meeting on Emerging Diseases and Surveillance (IMED), 2011
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