Michael S. Steinbach

Orcid: 0000-0002-7309-6395

Affiliations:
  • 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.

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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

Causal Structure Learning from Imperfect Longitudinal Data in Healthcare.
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

Predicting diabetes clinical outcomes using longitudinal risk factor trajectories.
BMC Medical Informatics Decis. Mak., 2020

Physics Guided Machine Learning Methods for Hydrology.
CoRR, 2020

Teaching deep learning causal effects improves predictive performance.
CoRR, 2020

Physics-Guided Recurrent Graph Networks for Predicting Flow and Temperature in River Networks.
CoRR, 2020

Integrating Physics-Based Modeling with Machine Learning: A Survey.
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

Evaluating the Impact of Data Representation on EHR-Based Analytic Tasks.
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

Introduction to Data Mining (Second Edition)
Pearson, 2019

2018
Mining Electronic Health Records (EHRs): A Survey.
ACM Comput. Surv., 2018

Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes.
CoRR, 2018

Don't Do Imputation: Dealing with Informative Missing Values in EHR Data Analysis.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

2017
Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data.
IEEE Trans. Knowl. Data Eng., 2017

Mining Electronic Health Records: A Survey.
CoRR, 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
Causal Inference in Observational Data.
CoRR, 2016

Theory-guided Data Science: A New Paradigm for Scientific Discovery.
CoRR, 2016

Type 2 Diabetes Mellitus Trajectories and Associated Risks.
Big Data, 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
Forensic Style Analysis with Survival Trajectories.
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

Predictive Models for Integrating Clinical and Genomic Data.
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

Theory-Guided Data Science for Climate Change.
Computer, 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

Amb-EM: a SNP-based prediction of HLA alleles using ambiguous HLA data.
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
A graph-based approach to find teleconnections in climate data.
Stat. Anal. Data Min., 2013

Detection of Precursors to Aviation Safety Incidents Due to Human Factors.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Evaluation of Label Dependency for the Prediction of HLA Genes.
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

Earth Science Applications of Sensor Data.
Proceedings of the Managing and Mining Sensor Data, 2013

2012
Mining Low-Support Discriminative Patterns from Dense and High-Dimensional Data.
IEEE Trans. Knowl. Data Eng., 2012

Prediction of HLA Genes from SNP Data and HLA Haplotype Frequencies.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Invited: Discovering combinatorial biomarkers.
Proceedings of the IEEE 2nd International Conference on Computational Advances in Bio and Medical Sciences, 2012

Importance of vegetation type in forest cover estimation.
Proceedings of the 2012 Conference on Intelligent Data Understanding, 2012

A new data mining framework for forest fire mapping.
Proceedings of the 2012 Conference on Intelligent Data Understanding, 2012

A pattern mining based integrative framework for biomarker discovery.
Proceedings of the ACM International Conference on Bioinformatics, 2012

2011
Monitoring global forest cover using data mining.
ACM Trans. Intell. Syst. Technol., 2011

Characterizing Discriminative Patterns
CoRR, 2011

Discovering Dynamic Dipoles in Climate Data.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Using Constraints to Generate and Explore Higher Order Discriminative Patterns.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Gopher: Global observation of Planetary Health and Ecosystem Resources.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Incorporating Natural Variation into Time Series-Based Land Cover Change Detection.
Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011

Data Guided Discovery of Dynamic Climate Dipoles.
Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011

Anomaly Construction in Climate Data: Issues and Challenges.
Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011

A Model-Free Time Series Segmentation Approach for Land Cover Change Detection.
Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011

A Novel Time Series Based Approach to Detect Gradual Vegetation Changes in Forests.
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

Automated detection of forest cover changes.
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

A Comparative Study Of Algorithms For Land Cover Change.
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
Pattern Preserving Clustering.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Characterizing pattern preserving clustering.
Knowl. Inf. Syst., 2009

An association analysis approach to biclustering.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Association analysis techniques for analyzing complex biological data sets.
Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009

Association Analysis Techniques for Bioinformatics Problems.
Proceedings of the Bioinformatics and Computational Biology, 2009

2008
Top 10 algorithms in data mining.
Knowl. Inf. Syst., 2008

Quantitative evaluation of approximate frequent pattern mining algorithms.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Land cover change detection: a case study.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Systematic Evaluation of Scaling Methods for Gene Expression Data.
Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

Detecting Ecosystem Disturbances and Land Cover Change Using Data Mining.
Proceedings of the Next Generation of Data Mining., 2008

2007
Generalizing the notion of confidence.
Knowl. Inf. Syst., 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

Enhancing Data Analysis with Noise Removal.
IEEE Trans. Knowl. Data Eng., 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

Introduction to Data Mining
Addison-Wesley, ISBN: 0-321-32136-7, 2005

2004
Data Mining.
Proceedings of the Handbook of Data Structures and Applications., 2004

HICAP: Hierarchical Clustering with Pattern Preservation.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

Generalizing the notion of support.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Support envelopes: a technique for exploring the structure of association patterns.
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

Discovery of climate indices using clustering.
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
High Performance Data Mining.
Proceedings of the High Performance Computing for Computational Science, 2002


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