Michael S. Steinbach

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 37

Top Topics

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Rahul Ghosh, Zac McEachran, Arvind Renganathan, Kelly Lindsay, Somya Sharma Chatterjee, Michael S. Steinbach, John Nieber, Christopher J. Duffy, Vipin Kumar
Hierarchically Disentangled Recurrent Network for Factorizing System Dynamics of Multi-scale Systems. CoRR (2024)
Rahul Ghosh, Arvind Renganathan, Wallace McAliley, Michael S. Steinbach, Christopher J. Duffy, Vipin Kumar
Towards Entity-Aware Conditional Variational Inference for Heterogeneous Time-Series Prediction: An application to Hydrology. SDM (2024)
Somya Sharma Chatterjee, Kelly Lindsay, Neel Chatterjee, Rohan Patil, Ilkay Altintas De Callafon, Michael S. Steinbach, Daniel Giron, Mai H. Nguyen, Vipin Kumar
Prescribed Fire Modeling using Knowledge-Guided Machine Learning for Land Management. SDM (2024)
Haoyu Yang, Roshan Tourani, Jia Li, Pedro J. Caraballo, Michael S. Steinbach, Vipin Kumar, György J. Simon
Causal Structure Learning from Imperfect Longitudinal Data in Healthcare. ICHI (2023)
Jared Willard, Xiaowei Jia, Shaoming Xu, Michael S. Steinbach, Vipin Kumar
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems. ACM Comput. Surv. 55 (4) (2023)
Shaoming Xu, Ankush Khandelwal, Xiang Li, Xiaowei Jia, Licheng Liu, Jared Willard, Rahul Ghosh, Kelly Cutler, Michael S. Steinbach, Christopher J. Duffy, John Nieber, Vipin Kumar
Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications. SDM (2023)
Jia Li, Xiang Li, Xiaowei Jia, Michael S. Steinbach, Vipin Kumar
Realization of Causal Representation Learning to Adjust Confounding Bias in Latent Space. CoRR (2022)
Shaoming Xu, Ankush Khandelwal, Xiang Li, Xiaowei Jia, Licheng Liu, Jared Willard, Rahul Ghosh, Kelly Cutler, Michael S. Steinbach, Christopher J. Duffy, John Nieber, Vipin Kumar
Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications. CoRR (2022)
Wonsuk Oh, Michael S. Steinbach, M. Regina Castro, Kevin A. Peterson, Vipin Kumar, Pedro J. Caraballo, György J. Simon
A Computational Method for Learning Disease Trajectories From Partially Observable EHR Data. IEEE J. Biomed. Health Informatics 25 (7) (2021)
Xiaowei Jia, Jacob Zwart, Jeffrey Sadler, Alison P. Appling, Samantha Oliver, Steven Markstrom, Jared Willard, Shaoming Xu, Michael S. Steinbach, Jordan S. Read, Vipin Kumar
Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks. SDM (2021)
Yolanda Gil, Daniel Garijo, Deborah Khider, Craig A. Knoblock, Varun Ratnakar, Maximiliano Osorio, Hernán Vargas, Minh Pham, Jay Pujara, Basel Shbita, Binh Vu, Yao-Yi Chiang, Dan Feldman, Yijun Lin, Hayley Song, Vipin Kumar, Ankush Khandelwal, Michael S. Steinbach, Kshitij Tayal, Shaoming Xu, Suzanne A. Pierce, Lissa Pearson, Daniel Hardesty-Lewis, Ewa Deelman, Rafael Ferreira da Silva, Rajiv Mayani, Armen R. Kemanian, Yuning Shi, Lorne Leonard, Scott D. Peckham, Maria Stoica, Kelly M. Cobourn, Zeya Zhang, Christopher J. Duffy, Lele Shu
Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making. ACM Trans. Interact. Intell. Syst. 11 (2) (2021)
Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob A. Zwart, Michael S. Steinbach, Vipin Kumar
Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles. Trans. Data Sci. 2 (3) (2021)
Haoyu Yang, Roshan Tourani, Ying Zhu, Vipin Kumar, Genevieve B. Melton, Michael S. Steinbach, György J. Simon
Strategies for building robust prediction models using data unavailable at prediction time. J. Am. Medical Informatics Assoc. 29 (1) (2021)
Jared Willard, Xiaowei Jia, Shaoming Xu, Michael S. Steinbach, Vipin Kumar
Integrating Physics-Based Modeling with Machine Learning: A Survey. CoRR (2020)
Ankush Khandelwal, Shaoming Xu, Xiang Li, Xiaowei Jia, Michael S. Steinbach, Christopher J. Duffy, John Nieber, Vipin Kumar
Physics Guided Machine Learning Methods for Hydrology. CoRR (2020)
György J. Simon, Kevin A. Peterson, M. Regina Castro, Michael S. Steinbach, Vipin Kumar, Pedro J. Caraballo
Predicting diabetes clinical outcomes using longitudinal risk factor trajectories. BMC Medical Informatics Decis. Mak. 20 (1) (2020)
Saurabh Agrawal, Michael S. Steinbach, Daniel Boley, Snigdhansu Chatterjee, Gowtham Atluri, Anh The Dang, Stefan Liess, Vipin Kumar
Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks. IEEE Trans. Knowl. Data Eng. 32 (9) (2020)
Xiaowei Jia, Jacob Zwart, Jeffrey Sadler, Alison P. Appling, Samantha Oliver, Steven Markstrom, Jared Willard, Shaoming Xu, Michael S. Steinbach, Jordan S. Read, Vipin Kumar
Physics-Guided Recurrent Graph Networks for Predicting Flow and Temperature in River Networks. CoRR (2020)
Jia Li, Xiaowei Jia, Haoyu Yang, Vipin Kumar, Michael S. Steinbach, György J. Simon
Teaching deep learning causal effects improves predictive performance. CoRR (2020)
Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob A. Zwart, Michael S. Steinbach, Vipin Kumar
Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling. IGARSS (2020)
Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob A. Zwart, Michael S. Steinbach, Vipin Kumar
Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles. CoRR (2020)
Wonsuk Oh, Michael S. Steinbach, M. Regina Castro, Kevin A. Peterson, Vipin Kumar, Pedro J. Caraballo, György J. Simon
Evaluating the Impact of Data Representation on EHR-Based Analytic Tasks. MedInfo (2019)
Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob Zwart, Michael S. Steinbach, Vipin Kumar
Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles. SDM (2019)
Pranjul Yadav, Michael S. Steinbach, M. Regina Castro, Pedro J. Caraballo, Vipin Kumar, György J. Simon
Frequent Causal Pattern Mining: A Computationally Efficient Framework For Estimating Bias-Corrected Effects. IEEE BigData (2019)
Che Ngufor, Pedro J. Caraballo, Thomas J. O'Byrne, David Chen, Nilay D. Shah, Michael S. Steinbach, György J. Simon
A new representation of disease conditions and treatment pathways accurately predicts mortality and chronic diseases. AMIA (2019)
Saurabh Agrawal, Michael S. Steinbach, Daniel Boley, Snigdhansu Chatterjee, Gowtham Atluri, Anh The Dang, Stefan Liess, Vipin Kumar
Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks. CoRR (2018)
Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob Zwart, Michael S. Steinbach, Vipin Kumar
Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles. CoRR (2018)
Jia Li, Mengdie Wang, Michael S. Steinbach, Vipin Kumar, György J. Simon
Don't Do Imputation: Dealing with Informative Missing Values in EHR Data Analysis. ICBK (2018)
Pranjul Yadav, Michael S. Steinbach, Vipin Kumar, György J. Simon
Mining Electronic Health Records (EHRs): A Survey. ACM Comput. Surv. 50 (6) (2018)
Xiaowei Jia, Anuj Karpatne, Jared Willard, Michael S. Steinbach, Jordan S. Read, Paul C. Hanson, Hilary A. Dugan, Vipin Kumar
Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes. CoRR (2018)
Pranjul Yadav, Michael S. Steinbach, Vipin Kumar, György J. Simon
Mining Electronic Health Records: A Survey. CoRR (2017)
Wonsuk Oh, Pranjul Yadav, Vipin Kumar, Pedro J. Caraballo, M. Regina Castro, Michael S. Steinbach, György J. Simon
Estimating Disease Onset Time by Modeling Lab Result Trajectories via Bayes Networks. ICHI (2017)
Anuj Karpatne, Gowtham Atluri, James H. Faghmous, Michael S. Steinbach, Arindam Banerjee, Auroop R. Ganguly, Shashi Shekhar, Nagiza F. Samatova, Vipin Kumar
Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data. IEEE Trans. Knowl. Data Eng. 29 (10) (2017)
Wonsuk Oh, Era Kim, M. Regina Castro, Pedro J. Caraballo, Vipin Kumar, Michael S. Steinbach, György J. Simon
Type 2 Diabetes Mellitus Trajectories and Associated Risks. Big Data 4 (1) (2016)
Pranjul Yadav, Lisiane Pruinelli, Alexander Hoff, Michael S. Steinbach, Bonnie L. Westra, Vipin Kumar, György J. Simon
Causal Inference in Observational Data. CoRR (2016)
Lisiane Pruinelli, Pranjul Yadav, Andrew Hangsleben, Jakob Johnson, Sanjoy Dey, Maribet C. McCarty, Vipin Kumar, Connie White-Delaney, Michael S. Steinbach, Bonnie L. Westra, György J. Simon
A Data Mining Approach to Determine Sepsis Guideline Impact on Inpatient Mortality and Complications. CRI (2016)
Anuj Karpatne, Gowtham Atluri, James H. Faghmous, Michael S. Steinbach, Arindam Banerjee, Auroop R. Ganguly, Shashi Shekhar, Nagiza F. Samatova, Vipin Kumar
Theory-guided Data Science: A New Paradigm for Scientific Discovery. CoRR (2016)
Pranjul Yadav, Michael S. Steinbach, Lisiane Pruinelli, Bonnie L. Westra, Connie Delaney, Vipin Kumar, György J. Simon
Forensic Style Analysis with Survival Trajectories. ICDM (2015)
Lisiane Pruinelli, Pranjul Yadav, Andrew Hangsleben, Kevin Schiroo, Sanjoy Dey, György J. Simon, Maribet C. McCarty, Vipin Kumar, Connie White-Delaney, Michael S. Steinbach, Bonnie L. Westra
Clustering Health Data to Discover EBP Interventions for Sepsis Prevention and Treatment for Health Disparities. AMIA (2015)
Sanjoy Dey, Katherine Hauwiller, Pranjul Yadav, Michael S. Steinbach, György J. Simon, Vipin Kumar, Connie White-Delaney, Bonnie L. Westra
Predicting the Factors of Improvement of Health Status of Home Health Care Patients: A Holistic Data Mining Approach. AMIA (2015)
Gowtham Atluri, Michael S. Steinbach, Kelvin O. Lim, Angus W. MacDonald III, Vipin Kumar
Discovering Groups of Time Series with Similar Behavior in Multiple Small Intervals of Time. SDM (2014)
Michael S. Steinbach, Sean Landman, Vipin Kumar, Haoyu Yu
Identification of co-occurring insertions in cancer genomes using association analysis. Int. J. Data Min. Bioinform. 10 (1) (2014)
James H. Faghmous, Arindam Banerjee, Shashi Shekhar, Michael S. Steinbach, Vipin Kumar, Auroop R. Ganguly, Nagiza F. Samatova
Theory-Guided Data Science for Climate Change. Computer 47 (11) (2014)
Lisiane Pruinelli, Sanjoy Dey, György J. Simon, Pranjul Yadav, Andrew Hangsleben, Katherine Hauwiller, Vipin Kumar, Connie White-Delaney, Michael S. Steinbach, Bonnie L. Westra
Data Mining Methodologies to Discover Best practices for Diabetic Patients with Health Disparities. AMIA (2014)
Vanja Paunic, Michael S. Steinbach, Abeer Madbouly, Vipin Kumar
Amb-EM: a SNP-based prediction of HLA alleles using ambiguous HLA data. BCB (2014)
Sanjoy Dey, György J. Simon, Bonnie L. Westra, Michael S. Steinbach, Vipin Kumar
Mining Interpretable and Predictive Diagnosis Codes from Multi-source Electronic Health Records. SDM (2014)
Igor Melnyk, Pranjul Yadav, Michael S. Steinbach, Jaideep Srivastava, Vipin Kumar, Arindam Banerjee
Detection of Precursors to Aviation Safety Incidents Due to Human Factors. ICDM Workshops (2013)
Jaya Kawale, Stefan Liess, Arjun Kumar, Michael S. Steinbach, Peter K. Snyder, Vipin Kumar, Auroop R. Ganguly, Nagiza F. Samatova, Fredrick H. M. Semazzi
A graph-based approach to find teleconnections in climate data. Stat. Anal. Data Min. 6 (3) (2013)
Sanjoy Dey, Jeremy Weed, Joanna Fakhoury, Jacob Cooner, György J. Simon, Michael S. Steinbach, Bonnie L. Westra, Vipin Kumar
Data Mining to Predict Mobility Outcomes for Older Adults Receiving Home Health Care. AMIA (2013)
Vanja Paunic, Michael S. Steinbach, Abeer Madbouly, Vipin Kumar
Evaluation of Label Dependency for the Prediction of HLA Genes. BCB (2013)
Gang Fang, Gaurav Pandey, Wen Wang, Manish Gupta, Michael S. Steinbach, Vipin Kumar
Mining Low-Support Discriminative Patterns from Dense and High-Dimensional Data. IEEE Trans. Knowl. Data Eng. 24 (2) (2012)
Gowtham Atluri, Sanjoy Dey, Gang Fang, Sean Landman, Vanja Paunic, Wen Wang, Michael S. Steinbach, Vipin Kumar
Invited: Discovering combinatorial biomarkers. ICCABS (2012)
Vanja Paunic, Michael S. Steinbach, Vipin Kumar, Martin Maiers
Prediction of HLA Genes from SNP Data and HLA Haplotype Frequencies. ICDM Workshops (2012)
Xi C. Chen, Anuj Karpatne, Yashu Chamber, Varun Mithal, Michael Lau, Karsten Steinhaeuser, Shyam Boriah, Michael S. Steinbach, Vipin Kumar, Christopher Potter, Steven A. Klooster, Teji Abraham, J. D. Stanley, Juan Carlos Castilla-Rubio
A new data mining framework for forest fire mapping. CIDU (2012)
Anuj Karpatne, Mace Blank, Michael Lau, Shyam Boriah, Karsten Steinhaeuser, Michael S. Steinbach, Vipin Kumar
Importance of vegetation type in forest cover estimation. CIDU (2012)
Sanjoy Dey, Kelvin O. Lim, Gowtham Atluri, Angus W. MacDonald III, Michael S. Steinbach, Vipin Kumar
A pattern mining based integrative framework for biomarker discovery. BCB (2012)
Gang Fang, Wen Wang, Benjamin Oatley, Brian Van Ness, Michael S. Steinbach, Vipin Kumar
Characterizing Discriminative Patterns CoRR (2011)
Jaya Kawale, Snigdhansu Chatterjee, Arjun Kumar, Stefan Liess, Michael S. Steinbach, Vipin Kumar
Anomaly Construction in Climate Data: Issues and Challenges. CIDU (2011)
Ashish Garg, Varun Mithal, Yashu Chamber, Ivan Brugere, Vijay Chaudhari, Marc Dunham, Vikrant Krishna, Sairam Krishnamurthy, Sruthi Vangala, Shyam Boriah, Michael S. Steinbach, Vipin Kumar, Albert Cho, J. D. Stanley, Teji Abraham, Juan Carlos Castilla-Rubio, Christopher Potter, Steven A. Klooster
Gopher: Global observation of Planetary Health and Ecosystem Resources. IGARSS (2011)
Ashish Garg, Lydia Manikonda, Shashank Kumar, Vikrant Krishna, Shyam Boriah, Michael S. Steinbach, Durga Toshnival, Vipin Kumar, Christopher Potter, Steven A. Klooster
A Model-Free Time Series Segmentation Approach for Land Cover Change Detection. CIDU (2011)
Jaya Kawale, Stefan Liess, Arjun Kumar, Michael S. Steinbach, Auroop R. Ganguly, Nagiza F. Samatova, Fredrick H. M. Semazzi, Peter K. Snyder, Vipin Kumar
Data Guided Discovery of Dynamic Climate Dipoles. CIDU (2011)
Michael S. Steinbach, Haoyu Yu, Gang Fang, Vipin Kumar
Using Constraints to Generate and Explore Higher Order Discriminative Patterns. PAKDD (1) (2011)
Jaya Kawale, Michael S. Steinbach, Vipin Kumar
Discovering Dynamic Dipoles in Climate Data. SDM (2011)
Yashu Chamber, Ashish Garg, Varun Mithal, Ivan Brugere, Vipin Kumar, Michael Lau, Michael S. Steinbach, Christopher Potter, Steven A. Klooster, Vikrant Krishna, Shyam Boriah
A Novel Time Series Based Approach to Detect Gradual Vegetation Changes in Forests. CIDU (2011)
Varun Mithal, Ashish Garg, Ivan Brugere, Shyam Boriah, Vipin Kumar, Michael S. Steinbach, Christopher Potter, Steven A. Klooster
Incorporating Natural Variation into Time Series-Based Land Cover Change Detection. CIDU (2011)
Varun Mithal, Ashish Garg, Shyam Boriah, Michael S. Steinbach, Vipin Kumar, Christopher Potter, Steven A. Klooster, Juan Carlos Castilla-Rubio
Monitoring global forest cover using data mining. ACM Trans. Intell. Syst. Technol. 2 (4) (2011)
Michael S. Steinbach, Haoyu Yu, Vipin Kumar
Identification of co-occurring insertions in cancer genomes using association analysis. BIBM Workshops (2010)
Caitlin Race, Michael S. Steinbach, Auroop R. Ganguly, Fredrick H. M. Semazzi, Vipin Kumar
A Knowledge Discovery Strategy for Relating Sea Surface Temperatures to Frequencies of Tropical Storms and Generating Predictions of Hurricanes Under 21st-century Global Warming Scenarios. CIDU (2010)
Shyam Boriah, Varun Mithal, Ashish Garg, Vipin Kumar, Michael S. Steinbach, Christopher Potter, Steven A. Klooster
A Comparative Study Of Algorithms For Land Cover Change. CIDU (2010)
Gang Fang, Rui Kuang, Gaurav Pandey, Michael S. Steinbach, Chad L. Myers, Vipin Kumar
Subspace Differential Coexpression Analysis: Problem Definition and a General Approach. Pacific Symposium on Biocomputing (2010)
Shyam Boriah, Varun Mithal, Ashish Garg, Michael S. Steinbach, Vipin Kumar, Christopher Potter, Steven A. Klooster, Juan Carlos Castilla-Rubio
Automated detection of forest cover changes. IGARSS (2010)
Gaurav Pandey, Gowtham Atluri, Gang Fang, Rohit Gupta, Michael S. Steinbach, Vipin Kumar
Association analysis techniques for analyzing complex biological data sets. GENSiPS (2009)
Hui Xiong, Michael S. Steinbach, Arifin Ruslim, Vipin Kumar
Characterizing pattern preserving clustering. Knowl. Inf. Syst. 19 (3) (2009)
Gaurav Pandey, Gowtham Atluri, Michael S. Steinbach, Chad L. Myers, Vipin Kumar
An association analysis approach to biclustering. KDD (2009)
Gowtham Atluri, Rohit Gupta, Gang Fang, Gaurav Pandey, Michael S. Steinbach, Vipin Kumar
Association Analysis Techniques for Bioinformatics Problems. BICoB (2009)
Shyam Boriah, Vipin Kumar, Michael S. Steinbach, Christopher Potter, Steven A. Klooster
Land cover change detection: a case study. KDD (2008)
Xindong Wu, Vipin Kumar, J. Ross Quinlan, Joydeep Ghosh, Qiang Yang, Hiroshi Motoda, Geoffrey J. McLachlan, Angus F. M. Ng, Bing Liu, Philip S. Yu, Zhi-Hua Zhou, Michael S. Steinbach, David J. Hand, Dan Steinberg
Top 10 algorithms in data mining. Knowl. Inf. Syst. 14 (1) (2008)
Gaurav Pandey, Lakshmi Naarayanan Ramakrishnan, Michael S. Steinbach, Vipin Kumar
Systematic Evaluation of Scaling Methods for Gene Expression Data. BIBM (2008)
Rohit Gupta, Gang Fang, Blayne Field, Michael S. Steinbach, Vipin Kumar
Quantitative evaluation of approximate frequent pattern mining algorithms. KDD (2008)
Gaurav Pandey, Michael S. Steinbach, Rohit Gupta, Tushar Garg, Vipin Kumar
Association analysis-based transformations for protein interaction networks: a function prediction case study. KDD (2007)
Michael S. Steinbach, Vipin Kumar
Generalizing the notion of confidence. Knowl. Inf. Syst. 12 (3) (2007)
Hui Xiong, Michael S. Steinbach, Vipin Kumar
Privacy leakage in multi-relational databases: a semi-supervised learning perspective. VLDB J. 15 (4) (2006)
Hui Xiong, Gaurav Pandey, Michael S. Steinbach, Vipin Kumar
Enhancing Data Analysis with Noise Removal. IEEE Trans. Knowl. Data Eng. 18 (2) (2006)
Hui Xiong, Michael S. Steinbach, Vipin Kumar
Privacy leakage in multi-relational databases via pattern based semi-supervised learning. CIKM (2005)
Michael S. Steinbach, Vipin Kumar
Generalizing the Notion of Confidence. ICDM (2005)
Michael S. Steinbach, Pang-Ning Tan, Hui Xiong, Vipin Kumar
Generalizing the notion of support. KDD (2004)
Hui Xiong, Michael S. Steinbach, Pang-Ning Tan, Vipin Kumar
HICAP: Hierarchical Clustering with Pattern Preservation. SDM (2004)
Michael S. Steinbach, Pang-Ning Tan, Vipin Kumar
Support envelopes: a technique for exploring the structure of association patterns. KDD (2004)
Levent Ertöz, Michael S. Steinbach, Vipin Kumar
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data. SDM (2003)
Michael S. Steinbach, Pang-Ning Tan, Vipin Kumar, Steven A. Klooster, Christopher Potter
Discovery of climate indices using clustering. KDD (2003)
Vipin Kumar, Mahesh V. Joshi, Eui-Hong Han, Pang-Ning Tan, Michael S. Steinbach
High Performance Data Mining. VECPAR (2002)