Michael S. Steinbach
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
34
Venues
8
Active years
2003–2025
Best venue rank
A*
Where they publish
Papers
34 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICDM | Hierarchically Disentangled Recurrent Network for Factorizing System Dynamics of Multi-scale Systems: An application on Hydrological Systems. | Rahul Ghosh, Arvind Renganthan, Zac McEachran, Kelly Lindsay, Michael S. Steinbach, John Nieber, Christopher J. Duffy, Vipin Kumar |
| 2024 | ICDM | Combining Self-Supervision and Privileged Information for Representation Learning from Tabular Data. | Haoyu Yang, Michael S. Steinbach, Genevieve B. Melton, Vipin Kumar, Gyrgy J. Simon |
| 2024 | SDM | Prescribed Fire Modeling using Knowledge-Guided Machine Learning for Land Management. | Somya Sharma Chatterjee, Kelly Lindsay, Neel Chatterjee, Rohan Patil, Ilkay Altintas De Callafon, Michael S. Steinbach, Daniel Giron, Mai H. Nguyen, Vipin Kumar |
| 2024 | SDM | Towards Entity-Aware Conditional Variational Inference for Heterogeneous Time-Series Prediction: An application to Hydrology. | Rahul Ghosh, Arvind Renganathan, Wallace McAliley, Michael S. Steinbach, Christopher J. Duffy, Vipin Kumar |
| 2023 | SDM | Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications. | 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 |
| 2021 | SDM | Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks. | Xiaowei Jia, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Steven Markstrom, Jared Willard, Shaoming Xu, Michael S. Steinbach, Jordan S. Read, Vipin Kumar |
| 2020 | IGARSS | Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling. | Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob A. Zwart, Michael S. Steinbach, Vipin Kumar |
| 2019 | AMIA | A new representation of disease conditions and treatment pathways accurately predicts mortality and chronic diseases. | Che Ngufor, Pedro J. Caraballo, Thomas J. O'Byrne, David Chen, Nilay D. Shah, Michael S. Steinbach, Gyrgy J. Simon |
| 2019 | SDM | Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles. | Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob Zwart, Michael S. Steinbach, Vipin Kumar |
| 2015 | AMIA | Predicting the Factors of Improvement of Health Status of Home Health Care Patients: A Holistic Data Mining Approach. | Sanjoy Dey, Katherine Hauwiller, Pranjul Yadav, Michael S. Steinbach, Gyrgy J. Simon, Vipin Kumar, Connie White-Delaney, Bonnie L. Westra |
| 2015 | AMIA | Clustering Health Data to Discover EBP Interventions for Sepsis Prevention and Treatment for Health Disparities. | Lisiane Pruinelli, Pranjul Yadav, Andrew Hangsleben, Kevin Schiroo, Sanjoy Dey, Gyrgy J. Simon, Maribet C. McCarty, Vipin Kumar, Connie White-Delaney, Michael S. Steinbach, Bonnie L. Westra |
| 2015 | ICDM | Forensic Style Analysis with Survival Trajectories. | Pranjul Yadav, Michael S. Steinbach, Lisiane Pruinelli, Bonnie L. Westra, Connie Delaney, Vipin Kumar, Gyrgy J. Simon |
| 2014 | AMIA | Data Mining Methodologies to Discover Best practices for Diabetic Patients with Health Disparities. | Lisiane Pruinelli, Sanjoy Dey, Gyrgy J. Simon, Pranjul Yadav, Andrew Hangsleben, Katherine Hauwiller, Vipin Kumar, Connie White-Delaney, Michael S. Steinbach, Bonnie L. Westra |
| 2014 | SDM | Discovering Groups of Time Series with Similar Behavior in Multiple Small Intervals of Time. | Gowtham Atluri, Michael S. Steinbach, Kelvin O. Lim, Angus W. MacDonald III, Vipin Kumar |
| 2014 | SDM | Mining Interpretable and Predictive Diagnosis Codes from Multi-source Electronic Health Records. | Sanjoy Dey, Gyrgy J. Simon, Bonnie L. Westra, Michael S. Steinbach, Vipin Kumar |
| 2013 | AMIA | Data Mining to Predict Mobility Outcomes for Older Adults Receiving Home Health Care. | Sanjoy Dey, Jeremy Weed, Joanna Fakhoury, Jacob Cooner, Gyrgy J. Simon, Michael S. Steinbach, Bonnie L. Westra, Vipin Kumar |
| 2013 | ICDM | Detection of Precursors to Aviation Safety Incidents Due to Human Factors. | Igor Melnyk, Pranjul Yadav, Michael S. Steinbach, Jaideep Srivastava, Vipin Kumar, Arindam Banerjee |
| 2012 | ICDM | Prediction of HLA Genes from SNP Data and HLA Haplotype Frequencies. | Vanja Paunic, Michael S. Steinbach, Vipin Kumar, Martin Maiers |
| 2011 | IGARSS | Gopher: Global observation of Planetary Health and Ecosystem Resources. | 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 |
| 2011 | PAKDD | Using Constraints to Generate and Explore Higher Order Discriminative Patterns. | Michael S. Steinbach, Haoyu Yu, Gang Fang, Vipin Kumar |
| 2011 | SDM | Discovering Dynamic Dipoles in Climate Data. | Jaya Kawale, Michael S. Steinbach, Vipin Kumar |
| 2010 | IGARSS | Automated detection of forest cover changes. | Shyam Boriah, Varun Mithal, Ashish Garg, Michael S. Steinbach, Vipin Kumar, Christopher Potter, Steven A. Klooster, Juan Carlos Castilla-Rubio |
| 2010 | PSB | Subspace Differential Coexpression Analysis: Problem Definition and a General Approach. | Gang Fang, Rui Kuang, Gaurav Pandey, Michael S. Steinbach, Chad L. Myers, Vipin Kumar |
| 2009 | KDD | An association analysis approach to biclustering. | Gaurav Pandey, Gowtham Atluri, Michael S. Steinbach, Chad L. Myers, Vipin Kumar |
| 2008 | KDD | Land cover change detection: a case study. | Shyam Boriah, Vipin Kumar, Michael S. Steinbach, Christopher Potter, Steven A. Klooster |
| 2008 | KDD | Quantitative evaluation of approximate frequent pattern mining algorithms. | Rohit Gupta, Gang Fang, Blayne Field, Michael S. Steinbach, Vipin Kumar |
| 2007 | KDD | Association analysis-based transformations for protein interaction networks: a function prediction case study. | Gaurav Pandey, Michael S. Steinbach, Rohit Gupta, Tushar Garg, Vipin Kumar |
| 2005 | CIKM | Privacy leakage in multi-relational databases via pattern based semi-supervised learning. | Hui Xiong, Michael S. Steinbach, Vipin Kumar |
| 2005 | ICDM | Generalizing the Notion of Confidence. | Michael S. Steinbach, Vipin Kumar |
| 2004 | KDD | Support envelopes: a technique for exploring the structure of association patterns. | Michael S. Steinbach, Pang-Ning Tan, Vipin Kumar |
| 2004 | KDD | Generalizing the notion of support. | Michael S. Steinbach, Pang-Ning Tan, Hui Xiong, Vipin Kumar |
| 2004 | SDM | HICAP: Hierarchical Clustering with Pattern Preservation. | Hui Xiong, Michael S. Steinbach, Pang-Ning Tan, Vipin Kumar |
| 2003 | KDD | Discovery of climate indices using clustering. | Michael S. Steinbach, Pang-Ning Tan, Vipin Kumar, Steven A. Klooster, Christopher Potter |
| 2003 | SDM | Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data. | Levent Ertz, Michael S. Steinbach, Vipin Kumar |