Michael S. Steinbach
Orcid: 0000-0002-7309-6395Affiliations:
- University of Minnesota, Department of Computer Science and Engineering, Minneapolis, MN, USA
According to our database1,
Michael S. Steinbach
authored at least 94 papers
between 2002 and 2024.
Collaborative distances:
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Bibliography
2024
Hierarchically Disentangled Recurrent Network for Factorizing System Dynamics of Multi-scale Systems.
CoRR, 2024
Towards Entity-Aware Conditional Variational Inference for Heterogeneous Time-Series Prediction: An application to Hydrology.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
Prescribed Fire Modeling using Knowledge-Guided Machine Learning for Land Management.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
2023
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems.
ACM Comput. Surv., 2023
Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023
2022
Realization of Causal Representation Learning to Adjust Confounding Bias in Latent Space.
CoRR, 2022
2021
A Computational Method for Learning Disease Trajectories From Partially Observable EHR Data.
IEEE J. Biomed. Health Informatics, 2021
Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making.
ACM Trans. Interact. Intell. Syst., 2021
Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles.
Trans. Data Sci., 2021
Strategies for building robust prediction models using data unavailable at prediction time.
J. Am. Medical Informatics Assoc., 2021
Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021
2020
Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks.
IEEE Trans. Knowl. Data Eng., 2020
BMC Medical Informatics Decis. Mak., 2020
Physics-Guided Recurrent Graph Networks for Predicting Flow and Temperature in River Networks.
CoRR, 2020
Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
Frequent Causal Pattern Mining: A Computationally Efficient Framework For Estimating Bias-Corrected Effects.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
A new representation of disease conditions and treatment pathways accurately predicts mortality and chronic diseases.
Proceedings of the AMIA 2019, 2019
2018
Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes.
CoRR, 2018
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018
2017
IEEE Trans. Knowl. Data Eng., 2017
Estimating Disease Onset Time by Modeling Lab Result Trajectories via Bayes Networks.
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017
2016
A Data Mining Approach to Determine Sepsis Guideline Impact on Inpatient Mortality and Complications.
Proceedings of the Summit on Clinical Research Informatics, 2016
2015
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
Clustering Health Data to Discover EBP Interventions for Sepsis Prevention and Treatment for Health Disparities.
Proceedings of the AMIA 2015, 2015
Predicting the Factors of Improvement of Health Status of Home Health Care Patients: A Holistic Data Mining Approach.
Proceedings of the AMIA 2015, 2015
Proceedings of the Healthcare Data Analytics., 2015
2014
Identification of co-occurring insertions in cancer genomes using association analysis.
Int. J. Data Min. Bioinform., 2014
Mining Interpretable and Predictive Diagnosis Codes from Multi-source Electronic Health Records.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014
Discovering Groups of Time Series with Similar Behavior in Multiple Small Intervals of Time.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014
Proceedings of the 5th ACM Conference on Bioinformatics, 2014
Data Mining Methodologies to Discover Best practices for Diabetic Patients with Health Disparities.
Proceedings of the AMIA 2014, 2014
2013
Stat. Anal. Data Min., 2013
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013
Proceedings of the ACM Conference on Bioinformatics, 2013
Data Mining to Predict Mobility Outcomes for Older Adults Receiving Home Health Care.
Proceedings of the AMIA 2013, 2013
Proceedings of the Managing and Mining Sensor Data, 2013
2012
IEEE Trans. Knowl. Data Eng., 2012
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012
Proceedings of the IEEE 2nd International Conference on Computational Advances in Bio and Medical Sciences, 2012
Proceedings of the 2012 Conference on Intelligent Data Understanding, 2012
Proceedings of the 2012 Conference on Intelligent Data Understanding, 2012
Proceedings of the ACM International Conference on Bioinformatics, 2012
2011
ACM Trans. Intell. Syst. Technol., 2011
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011
Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011
Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011
Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011
Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011
2010
Subspace Differential Coexpression Analysis: Problem Definition and a General Approach.
Proceedings of the Biocomputing 2010: Proceedings of the Pacific Symposium, 2010
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010
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.
Proceedings of the 2010 Conference on Intelligent Data Understanding, 2010
Proceedings of the 2010 Conference on Intelligent Data Understanding, 2010
Identification of co-occurring insertions in cancer genomes using association analysis.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010
2009
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009
Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009
Proceedings of the Bioinformatics and Computational Biology, 2009
2008
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008
Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008
Proceedings of the Next Generation of Data Mining., 2008
2007
Association analysis-based transformations for protein interaction networks: a function prediction case study.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007
2006
Privacy leakage in multi-relational databases: a semi-supervised learning perspective.
VLDB J., 2006
2005
Privacy leakage in multi-relational databases via pattern based semi-supervised learning.
Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31, 2005
2004
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004
2003
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data.
Proceedings of the Third SIAM International Conference on Data Mining, 2003
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003
Finding Topics in Collections of Documents: A Shared Nearest Neighbor Approach.
Proceedings of the Clustering and Information Retrieval, 2003
2002
Proceedings of the High Performance Computing for Computational Science, 2002