Jason Alan Fries
Cited by
Cited by
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
Multitask prompted training enables zero-shot task generalization
V Sanh, A Webson, C Raffel, SH Bach, L Sutawika, Z Alyafeai, A Chaffin, ...
arXiv preprint arXiv:2110.08207, 2021
Bloom: A 176b-parameter open-access multilingual language model
BS Workshop, TL Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, ...
arXiv preprint arXiv:2211.05100, 2022
Promptsource: An integrated development environment and repository for natural language prompts
SH Bach, V Sanh, ZX Yong, A Webson, C Raffel, NV Nayak, A Sharma, ...
arXiv preprint arXiv:2202.01279, 2022
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), 3111, 2019
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
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
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), 2017, 2021
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
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
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), 95, 2020
Medical device surveillance with electronic health records
A Callahan, JA Fries, C Ré, JI Huddleston III, NJ Giori, S Delp, NH Shah
NPJ digital medicine 2 (1), 94, 2019
Assessing the accuracy of automatic speech recognition for psychotherapy
AS Miner, A Haque, JA Fries, SL Fleming, DE Wilfley, G Terence Wilson, ...
NPJ digital medicine 3 (1), 82, 2020
Evaluation of domain generalization and adaptation on improving model robustness to temporal dataset shift in clinical medicine
LL Guo, SR Pfohl, J Fries, AEW Johnson, J Posada, C Aftandilian, N Shah, ...
Scientific reports 12 (1), 2726, 2022
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 32, 2019
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
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
Systematic review of approaches to preserve machine learning performance in the presence of temporal dataset shift in clinical medicine
LL Guo, SR Pfohl, J Fries, J Posada, SL Fleming, C Aftandilian, N Shah, ...
Applied clinical informatics 12 (04), 808-815, 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
Bigbio: a framework for data-centric biomedical natural language processing
J Fries, L Weber, N Seelam, G Altay, D Datta, S Garda, S Kang, R Su, ...
Advances in Neural Information Processing Systems 35, 25792-25806, 2022
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