Kristin P. Bennett

J. Biomed. Semant., December, 2023

Special Issue: Hierarchical Optimization.

[BibT_eX]

[DOI]

Math. Program., April, 2023

Planning and Monitoring Equitable Clinical Trial Enrollment Using Goal Programming.

[BibT_eX]

[DOI]

Miao Qi

Amar K. Das

IEEE J. Biomed. Health Informatics, February, 2023

Pairwise Causality Guided Transformers for Event Sequences.

[BibT_eX]

[DOI]

Oktie Hassanzadeh

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Characterizing Common Quarterly Behaviors in DeFi Lending Protocols.

[BibT_eX]

[DOI]

Aaron Green

Michael P. Giannattasio

Proceedings of the Mathematical Research for Blockchain Economy: 4th International Conference MARBLE 2023, 2023

An Ontology for Reasoning About Fairness in Regression and Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Graphs and Semantic Web, 2023

Probabilistic Attention-to-Influence Neural Models for Event Sequences.

[BibT_eX]

[DOI]

Oktie Hassanzadeh

Proceedings of the International Conference on Machine Learning, 2023

Towards Machine-Assisted Biomedical Data Preparation: A Use Case on Disparity in Access to Health Care.

[BibT_eX]

[DOI]

Proceedings of the 6th Workshop on Semantic Web Solutions for Large-Scale Biomedical Data Analytics co-located with ESWC 2023, 2023

Adversarial Auditing of Machine Learning Models under Compound Shift.

[BibT_eX]

[DOI]

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

Influence-Aware Attention for Multivariate Temporal Point Processes.

[BibT_eX]

[DOI]

Proceedings of the Conference on Causal Learning and Reasoning, 2023

Enabling Cross-Language Data Integration and Scalable Analytics in Decentralized Finance.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

Stress-Testing Bias Mitigation Algorithms to Understand Fairness Vulnerabilities.

[BibT_eX]

[DOI]

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

Concurrent Multi-Label Prediction in Event Streams.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Investigating synthetic medical time-series resemblance.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Downstream Fairness Caveats with Synthetic Healthcare Data.

[BibT_eX]

[DOI]

CoRR, 2022

Should we tweet this? Generative response modeling for predicting reception of public health messaging on Twitter.

[BibT_eX]

[DOI]

Proceedings of the WebSci '22: 14th ACM Web Science Conference 2022, Barcelona, Spain, June 26, 2022

DeFi Survival Analysis: Insights into Risks and User Behaviors.

[BibT_eX]

[DOI]

Aaron M. Green

Christopher Cammilleri

Oshani Seneviratne

Jason Nicholas Kuruzovich

Proceedings of the 3rd International Conference on Mathematical Research for Blockchain Economy, 2022

HMM-Boost: Improved Time Series State Prediction Via Supervised Hidden Markov Models: Case Studies in Epileptic Seizure and Complex Care Management.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Subpopulation Analysis in Causal Inference: A Healthcare Case Study.

[BibT_eX]

[DOI]

Georgios Mavroudeas

Nafis Neehal

Malik Magdon-Ismail

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Evaluating Fairness of Synthetic Healthcare Data Models.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2022, 2022

An Ontology for Fairness Metrics.

[BibT_eX]

[DOI]

Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

2021

The Problem of Fairness in Synthetic Healthcare Data.

[BibT_eX]

[DOI]

Entropy, 2021

MOSAIC: a joint modeling methodology for combined circadian and non-circadian analysis of multi-omics data.

[BibT_eX]

[DOI]

Hannah De Los Santos

Jennifer M. Hurley

Bioinform., 2021

Causal Inference for Event Pairs in Multivariate Point Processes.

[BibT_eX]

[DOI]

Nicholas Mattei

Jason Nicholas Kuruzovich

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Quantifying Resemblance of Synthetic Medical Time-Series.

[BibT_eX]

[DOI]

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Predictive Modeling for Complex Care Management.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Match2: hybrid self-organizing map and deep learning strategies for treatment effect estimation.

[BibT_eX]

[DOI]

Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

Temporal analysis of social determinants associated with COVID-19 mortality.

[BibT_eX]

[DOI]

Shayom Debopadhaya

Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

Planning Equitable Clinical Trial Enrollment using Integer Programming.

[BibT_eX]

[DOI]

Miao Qi

Amar K. Das

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

A Precision Environment-Wide Association Study of Hypertension via Supervised Cadre Models.

[BibT_eX]

[DOI]

Alexander New

IEEE J. Biomed. Health Informatics, 2020

Generation and evaluation of privacy preserving synthetic health data.

[BibT_eX]

[DOI]

Neurocomputing, 2020

ECHO: an application for detection and analysis of oscillators identifies metabolic regulation on genome-wide circadian output.

[BibT_eX]

[DOI]

Bioinform., 2020

Synthesizing Quality Open Data Assets from Private Health Research Studies.

[BibT_eX]

[DOI]

Proceedings of the Business Information Systems Workshops, 2020

Visualizing Inequities in Clinical Trials using ML Fairness Metrics.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2020, 2020

MortalityMinder: A Web Tool for Visualizing and Investigating Social Determinants of Premature Mortality in the United States.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2020, 2020

Medical Time-Series Data Generation Using Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2020

2019

Biases in feature selection with missing data.

[BibT_eX]

[DOI]

Borja Seijo-Pardo

Amparo Alonso-Betanzos

Verónica Bolón-Canedo

Julie Josse

Mehreen Saeed

Isabelle Guyon

Neurocomputing, 2019

Synthetic Event Time Series Health Data Generation.

[BibT_eX]

[DOI]

CoRR, 2019

Automating Population Health Studies Through Semantics and Statistics.

[BibT_eX]

[DOI]

Proceedings of the Joint Proceedings of the International Workshops on Sensors and Actuators on the Web, 2019

Making Study Populations Visible Through Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the Semantic Web - ISWC 2019, 2019

Ontology-enabled Analysis of Study Populations.

[BibT_eX]

[DOI]

Jason Nicholas Kuruzovich

Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, 2019

Privacy Preserving Synthetic Health Data.

[BibT_eX]

[DOI]

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

Supervised Mixture Models for Population Health.

[BibT_eX]

[DOI]

Malik Magdon-Ismail

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Artificial Intelligence for Public Health.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

ENCORE: A Visualization Tool for Insight into Circadian Omics.

[BibT_eX]

[DOI]

Hannah De Los Santos

Jennifer M. Hurley

Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

Assessing privacy and quality of synthetic health data.

[BibT_eX]

[DOI]

Proceedings of the Conference on Artificial Intelligence for Data Discovery and Reuse, 2019

Semantically-targeted analytics for reproducible scientific discovery.

[BibT_eX]

[DOI]

Proceedings of the Conference on Artificial Intelligence for Data Discovery and Reuse, 2019

2018

Semantically-aware population health risk analyses.

[BibT_eX]

[DOI]

Alexander New

Sabbir M. Rashid

CoRR, 2018

Grey-box Process Control Mining for Anomaly Monitoring and Deconstruction.

[BibT_eX]

[DOI]

CoRR, 2018

Ontology-enabled Breast Cancer Characterization.

[BibT_eX]

[DOI]

Proceedings of the ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, USA, October 8th - to, 2018

Knowledge Integration for Disease Characterization: A Breast Cancer Example.

[BibT_eX]

[DOI]

Proceedings of the Semantic Web - ISWC 2018, 2018

The Whyis Knowledge Graph Framework in Action.

[BibT_eX]

[DOI]

Proceedings of the ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, USA, October 8th - to, 2018

Developing Scientific Knowledge Graphs Using Whyis.

[BibT_eX]

[DOI]

Proceedings of the Second Workshop on Enabling Open Semantic Science co-located with 17th International Semantic Web Conference, 2018

Cadre Modeling: Simultaneously Discovering Subpopulations and Predictive Models.

[BibT_eX]

[DOI]

Alexander New

Curt M. Breneman

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Analysis of imputation bias for feature selection with missing data.

[BibT_eX]

[DOI]

Borja Seijo-Pardo

Amparo Alonso-Betanzos

Verónica Bolón-Canedo

Isabelle Guyon

Julie Josse

Mehreen Saeed

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017

Circadian Rhythms in Neurospora Exhibit Biologically Relevant Driven and Damped Harmonic Oscillations.

[BibT_eX]

[DOI]

Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2016

Addressing Scientific Rigor in Data Analytics Using Semantic Workflows.

[BibT_eX]

[DOI]

John Sheehan

Proceedings of the Provenance and Annotation of Data and Processes, 2016

Wind turbine fault prediction using soft label SVM.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Time to Reactivation of Latent Tuberculosis Infection Varies by Lineage.

[BibT_eX]

[DOI]

Nick Thieme

Proceedings of the 7th ACM International Conference on Bioinformatics, 2016

2015

Understanding Emergency Department 72-Hour Revisits Among Medicaid Patients Using Electronic Healthcare Records.

[BibT_eX]

[DOI]

James Ryan

James A. Hendler

Big Data, 2015

SemNExT: A Framework for Semantically Integrating and Exploring Numeric Analyses.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Workshop on Semantic Statistics co-located with 14th International Semantic Web Conference, 2015

Design of the 2015 ChaLearn AutoML challenge.

[BibT_eX]

[DOI]

Alexander R. Statnikov

Evelyne Viegas

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2013

DR-Predictor: Incorporating Flexible Docking with Specialized Electronic Reactivity and Machine Learning Techniques to Predict CYP-Mediated Sites of Metabolism.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2013

2012

Signal Timing Estimation Using Sample Intersection Travel Times.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2012

Fast Bundle Algorithm for Multiple-Instance Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2012

RS-Predictor Models Augmented with SMARTCyp Reactivities: Robust Metabolic Regioselectivity Predictions for Nine CYP Isozymes.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2012

2011

Model selection for primal SVM.

[BibT_eX]

[DOI]

Gregory M. Moore

Charles Bergeron

Mach. Learn., 2011

RS-Predictor: A New Tool for Predicting Sites of Cytochrome P450-Mediated Metabolism Applied to CYP 3A4.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2011

Exploiting Domain Knowledge for Improved Quantitative High-Throughput Screening Curve Fitting.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2011

Prediction of peptide bonding affinity: kernel methods for nonlinear modeling

[BibT_eX]

[DOI]

CoRR, 2011

Preserving proximity relations and minimizing edge-crossings in high dimensional graph visualizations.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Large Data Analysis and Visualization, 2011

Data-Driven Insights into Deletions of Mycobacterium tuberculosis Complex Chromosomal DR Region Using Spoligoforests.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

Visualization of tuberculosis patient and Mycobacterium tuberculosis complex genotype data via host-pathogen maps.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

Knowledge-based Bayesian network for the classification of Mycobacterium tuberculosis complex sublineages.

[BibT_eX]

[DOI]

Proceedings of the ACM International Conference on Bioinformatics, 2011

2010

A conformal Bayesian network for classification of Mycobacterium tuberculosis complex lineages.

[BibT_eX]

[DOI]

Minoo Aminian

Amina Shabbeer

BMC Bioinform., 2010

Online Knowledge-Based Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Examining the sublineage structure of Mycobacterium tuberculosis complex strains with multiple-biomarker tensors.

[BibT_eX]

[DOI]

Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

2009

Nonsmooth Bilevel Programming for Hyperparameter Selection.

[BibT_eX]

[DOI]

Gregory M. Moore

Charles Bergeron

Proceedings of the ICDM Workshops 2009, 2009

Determination of Major Lineages of Mycobacterium tuberculosis Complex Using Mycobacterial Interspersed Repetitive Units.

[BibT_eX]

[DOI]

Minoo Aminian

Amina Shabbeer

Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009

2008

On the Global Solution of Linear Programs with Linear Complementarity Constraints.

[BibT_eX]

[DOI]

SIAM J. Optim., 2008

Classification model selection via bilevel programming.

[BibT_eX]

[DOI]

Optim. Methods Softw., 2008

Guest editor's introduction: special issue on inductive transfer learning.

[BibT_eX]

[DOI]

Daniel L. Silver

Mach. Learn., 2008

Multiway modeling and analysis in stem cell systems biology.

[BibT_eX]

[DOI]

BMC Syst. Biol., 2008

Bilevel Optimization and Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Computational Intelligence: Research Frontiers, 2008

Multiple instance ranking.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2008

2007

Introduction to special issue ACM SIGKDD 2006.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2007

Typing Staphylococcus aureus Using the spa Gene and Novel Distance Measures.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2007

2006

The Interplay of Optimization and Machine Learning Research.

[BibT_eX]

[DOI]

Emilio Parrado-Hernández

J. Mach. Learn. Res., 2006

Model Selection via Bilevel Optimization.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2006

Nonlinear Eye Gaze Mapping Function Estimation via Support Vector Regression.

[BibT_eX]

[DOI]

Zhiwei Zhu

Qiang Ji

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Constructing Orthogonal Latent Features for Arbitrary Loss.

[BibT_eX]

[DOI]

Proceedings of the Feature Extraction - Foundations and Applications, 2006

2005

Kernelized set-membership approach to nonlinear adaptive filtering.

[BibT_eX]

[DOI]

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Support Vector Machines and Other Kernel Methods.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

2004

Column-generation boosting methods for mixture of kernels.

[BibT_eX]

[DOI]

Tong Zhang

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

Decision-tree learning in dwell point policies in autonomous vehicle storage and retrieval systems (AVSRS).

[BibT_eX]

[DOI]

Miki Fukunari

Charles J. Malmborg

Proceedings of the 2004 International Conference on Machine Learning and Applications, 2004

2003

Dimensionality Reduction via Sparse Support Vector Machines.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2003

A geometric approach to support vector regression.

[BibT_eX]

[DOI]

Neurocomputing, 2003

Regression Error Characteristic Curves.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2003

Sparse Kernel Partial Least Squares Regression.

[BibT_eX]

[DOI]

Proceedings of the Computational Learning Theory and Kernel Machines, 2003

2002

Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces.

[BibT_eX]

[DOI]

Gunnar Rätsch

Mach. Learn., 2002

Linear Programming Boosting via Column Generation.

[BibT_eX]

[DOI]

John Shawe-Taylor

Mach. Learn., 2002

Prediction of Protein Retention Times in Anion-Exchange Chromatography Systems Using Support Vector Regression.

[BibT_eX]

[DOI]

J. Chem. Inf. Comput. Sci., 2002

A Pattern Search Method for Model Selection of Support Vector Regression.

[BibT_eX]

[DOI]

Proceedings of the Second SIAM International Conference on Data Mining, 2002

MARK: a boosting algorithm for heterogeneous kernel models.

[BibT_eX]

[DOI]

Mark J. Embrechts

Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

Exploiting unlabeled data in ensemble methods.

[BibT_eX]

[DOI]

Richard Maclin

Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

2001

Duality, Geometry, and Support Vector Regression.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000

Support Vector Machines: Hype or Hallelujah?

[BibT_eX]

[DOI]

Colin Campbell

SIGKDD Explor., 2000

Enlarging the Margins in Perceptron Decision Trees.

[BibT_eX]

[DOI]

Mach. Learn., 2000

A Linear Programming Approach to Novelty Detection.

[BibT_eX]

[DOI]

Colin Campbell

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Duality and Geometry in SVM Classifiers.

[BibT_eX]

Erin J. Bredensteiner

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

A Column Generation Algorithm For Boosting.

[BibT_eX]

John Shawe-Taylor

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1999

Multicategory Classification by Support Vector Machines.

[BibT_eX]

[DOI]

Erin J. Bredensteiner

Comput. Optim. Appl., 1999

Density-Based Indexing for Approximate Nearest-Neighbor Queries.

[BibT_eX]

[DOI]

Usama M. Fayyad

Dan Geiger

Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

On support vector decision trees for database marketing.

[BibT_eX]

[DOI]

Donghui Wu

Leonardo Auslender

Proceedings of the International Joint Conference Neural Networks, 1999

Large Margin Trees for Induction and Transduction.

[BibT_eX]

Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

1998

Hybrid extreme point tabu search.

[BibT_eX]

[DOI]

Jennifer A. Blue

Eur. J. Oper. Res., 1998

Semi-Supervised Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

1997

A Parametric Optimization Method for Machine Learning.

[BibT_eX]

[DOI]

Erin J. Bredensteiner

INFORMS J. Comput., 1997

1994

Serial and Parallel Multicategory Discrimination.

[BibT_eX]

[DOI]

Olvi L. Mangasarian

SIAM J. Optim., 1994

1993

Bilinear separation of two sets inn-space.

[BibT_eX]

[DOI]

O. L. Mangasarian

Comput. Optim. Appl., 1993

1991

A Genetic Algorithm for Database Query Optimization.

[BibT_eX]