Artur W. Dubrawski

Alumni Research Professor of Computer Science

Home Department: RI

Office: 3121 Newell-Simon Hall

Phone: (412) 268-6233

Personal Homepage

Administrative Assistant: Kaitlyn Buss

Lab: Auton Lab

I am interested in intelligent systems that work, are useful, and make economic sense, and in finding ways to effectively build and deploy them. My work is driven by real-world applications, currently in the areas of public health, food safety, nuclear safety and health of equipment. It involves researching new machine learning algorithms and data structures to facilitate probabilistic modeling, predictive analysis, interactive exploration, and understanding of data.

Research Topics

Displaying 213 Publications

2022

Using Machine Learning to Support Transfer of Best Practices in Healthcare

Sebastian Caldas, Jieshi Chen, and Artur Dubrawski

Conference Paper, Proceedings of American Medical Informatics Association Annual Symposium (AMIA '21), pp. 265 - 274, February, 2022

Weak Supervision for Affordable Modeling of Electrocardiogram Data

Mononito Goswami, Benedikt Boecking, and Artur Dubrawski

Conference Paper, Proceedings of American Medical Informatics Association Annual Symposium (AMIA '21), pp. 536 - 545, February, 2022

Automated Assessment of Cardiovascular Sufficiency Using Non-Invasive Physiological Data

Xinyu Li, Michael R. Pinsky, and Artur Dubrawski

Journal Article, Sensors, Vol. 22, No. 3, 2022

2021

Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling

Benedikt Boecking, Willie Neiswanger, Eric P. Xing, and Artur Dubrawski

Conference Paper, Proceedings of (ICLR) International Conference on Learning Representations, May, 2021

Explosion Discrimination Using Seismic Gradiometry and Spectral Filtering of Data

Cristian Challu, Christian Poppeliers, Predrag Punosevac, and Artur Dubrawski

Journal Article, Bulletin of the Seismological Society of America, April, 2021

Accuracy of identifying hospital acquired venous thromboembolism by administrative coding: implications for big data and machine learning research

Tiffany Pellathy, Melissa Saul, Gilles Clermont, Artur W. Dubrawski, Michael R. Pinsky, and Marilyn Hravnak

Journal Article, Journal of Clinical Monitoring and Computing, Vol. 35, No. 1, February, 2021

Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data with Competing Risks

Chirag Nagpal, Xinyu Rachel Li, and Artur Dubrawski

Journal Article, IEEE Journal of Biomedical and Health Informatics, 2021

2020

Using seismic gradiometry and machine learning to discriminate between explosion and earthquake seismic sources

Christian Poppeliers, Cristian Challu, Predrag Punosevac, Charlie Vollmer, and Artur Dubrawski

Conference Paper, Proceedings of AGU Fall Meeting, December, 2020

Outbreak of Pseudomonas aeruginosa Infections from a Contaminated Gastroscope Detected by Whole Genome Sequencing Surveillance

Alexander J. Sundermann, Jieshi Chen, James K. Miller, Melissa I. Saul, Kathleen A. Shutt, Marissa P. Griffith, Mustapha M. Mustapha, Chinelo Ezeonwuka, Kady Waggle, Vatsala Srinivasa, Praveen Kumar, A. William Pasculle, Ashley M. Ayres, Graham M. Snyder, Vaughn S. Cooper, Daria Van Tyne, Jane W. Marsh, Artur W. Dubrawski, and Lee H. Harrison

Journal Article, Clinical Infectious Diseases, December, 2020

Analysis of Source Detectability With Fast-Moving Sensors

Kyle Miller, Nicholas Gisolfi, and Artur Dubrawski

Journal Article, IEEE Transactions on Nuclear Science, Vol. 67, No. 10, pp. 2278 - 2285, October, 2020

Statement

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current phd students

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Artur W. Dubrawski

Mailing Address

Statement

Research

Publications

Students/Affiliates

Research Topics

current phd students

current masters students

current affiliates

past phd students

past masters students