Publications of Dr. Michael Steinbach


Please visit Google Scholar DBLP, NCBI Bibliograpy, or Dr. Steinbach's full vita  for more complete information.

(Some recent papers.) 

2020 2019 2018 2017 

 

2020

Integrating Physics-Based Modeling with Machine Learning: A Survey.
Jared Willard, Xiaowei Jia, Shaoming Xu, Michael Steinbach, Vipin Kumar.
April 2020. https://arxiv.org/abs/2003.04919 

Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles.
Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan Read, Jacob Zwart, Michael Steinbach, Vipin Kumar.
January 2020. https://arxiv.org/pdf/2001.11086.pdf

Predicting diabetes clinical outcomes using longitudinal risk factor trajectories.
Gyorgy J Simon, Kevin A Peterson, M Regina Castro, Michael S Steinbach, Vipin Kumar, Pedro J Caraballo.
BMC Medical Informatics and Decision Making, vol 20, 1-9. https://doi.org/10.1186/s12911-019-1009-3

 

2019


Discovering genetic interactions bridging pathways in genome-wide association studies.
Gang Fang, Wen Wang, Vanja Paunic, Hamed Heydari, Michael Costanzo, Xiaoye Liu, Xiaotong Liu, Benjamin VanderSluis, Benjamin Oately, Michael Steinbach, Brian Van Ness, Eric E Schadt, Nathan D Pankratz, Charles Boone, Vipin Kumar, Chad L Myers.
Nature Communications volume 10, Article number: 4274 (2019)https://www.nature.com/articles/s41467-019-12131-7

Evaluating the Impact of Data Representation on EHR-Based Analytic Tasks.
Wonsuk Oh, Michael S Steinbach, M Regina Castro, Kevin A Peterson, Vipin Kumar, Pedro J Caraballo, Gyorgy J Simon.
17th World Congress on Medical and Health Informatics, MEDINFO 2019, pages 288-292. doi: 10.3233/SHTII90229

A Fast-Optimal Guaranteed Algorithm For Learning Sub-Interval Relationships in Time Series
S. Agrawal, M. Steinbach, D. Boley, S. Chatterjee, G. Atluri, A. T. Dang, S. Liess, V. Kumar
Proceedings of the 36th International Conference on Machine Learning, June 2019. (link)

Physics guided RNNs for modeling dynamical systems: A case study in simulating lake temperature profiles
X. Jia, J. Willard, A. Karpatne, J. Read, J. Zwart, M. Steinbach, V. Kumar
Proceedings of the 2019 SIAM International Conference on Data Mining, pp. 558-566. Society for Industrial and Applied Mathematics. May 2019. doi:10.1137/1.9781611975673.63 (link)

Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks
S. Agrawal, M. Steinbach, D. Boley, S. Chatterjee, G. Atluri, A. T. Dang, S. Liess, V. Kumar
IEEE Transactions on Knowledge and Data Engineering, April 2019. 
doi:10.1109/TKDE.2019.2911681 (link)

Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles.
Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan Read, Jacob Zwart, Michael Steinbach, Vipin Kumar.
Proceedings of the 2019 SIAM International Conference on Data Mining, May 2019.  doi: 101137/1.9781611975673.63

Process-Guided Deep Learning Predictions of Lake Water Temperature.
Jordan S. Read, Xiaowei Jia, Jared Willard, Alison P. Appling, Jacob A. Zwart, Samantha K. Oliver, Anuj Karpatne, Gretchen J.A. Hansen, Paul C. Hanson, William Watkins, Michael Steinbach, Vipin Kumar.
2019. Water Resources Research (55). https://doi.org/10.1029/2019WR024922

 

2018

Computational Approaches for Early Emerging Heterogeneity and Disorder Risk.
S Jacob, J Wolff, C Doyle, M Steinbach, V Kumar, J Elison
NEUROPSYCHOPHARMACOLOGY 43, S97-S98

Don't Do Imputation: Dealing with Informative Missing Values in EHR Data Analysis.
J Li, M Wang, MS Steinbach, V Kumar, GJ Simon
2018 IEEE International Conference on Big Knowledge (ICBK), 415-422

Finding Novel Multivariate Relationships in Time Series Data: Applications to Climate and Neuroscience.
S Agrawal, M Steinbach, D Boley, S Liess, S Chatterjee, V Kumar, G Atluri

Mining Electronic Health Records (EHRs) A Survey.
P Yadav, M Steinbach, V Kumar, G Simon
ACM Computing Surveys (CSUR) 50 (6), 1-40

 

2017

Theory-guided Data Science: A New Paradigm for Scientific Discovery from Data
A. Karpatne , G. Atluri , J. Faghmous , M. Steinbach , A. Banerjee , A. Ganguly , S. Shekhar , N. Samatova , and V. Kumar
IEEE Transactions on Knowledge and Data Engineering. PP (99)
DOI: 10.1109/TKDE.2017.2720168 (link)USA. https://dl4physicalsciences.github.io/files/nips_dlps_2017_19.pdf

Mining Electronic Health Records : A Survey 
Pranjul Yadav, Michael Steinbach, Vipin Kumar, Gyorgy Simon. 
Technical Report, University of Minnesota. TR17-003, Formerly TR 15-016. April 2017. https://www.cs.umn.edu/sites/cs.umn.edu/files/tech_reports/17-003.pdf