Kristin P. Bennett

Kristin P. Bennett, Mark J. Embrechts, Curt M. Breneman, 2001, SMCia/01. Proceedings of the 2001 IEEE Mountain Workshop on Soft Computing in Industrial Applications (Cat. No.01EX504).

On support vector decision trees for database marketing

Kristin P. Bennett, Donghui Wu, Leonardo Auslender, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Assessing privacy and quality of synthetic health data

Isabelle Guyon, Kristin P. Bennett, Ritik Dutta, 2019, AIDR.

A Pattern Search Method for Model Selection of Support Vector Regression

Kristin P. Bennett, Michinari Momma, Michinari Momma, 2002, SDM.

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

Bülent Yener, Kristin P. Bennett, Srivatsan Raghavan, 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW).

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

Kristin P. Bennett, Charles Bergeron, Patrik Rydberg, 2011, J. Chem. Inf. Model..

Multiple instance ranking

Kristin P. Bennett, Charles Bergeron, Curt M. Breneman, 2008, ICML '08.

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

Kristin P. Bennett, Cagri Ozcaglar, Amina Shabbeer, 2011, BCB '11.

Semantically-aware population health risk analyses pdf

Deborah L. McGuinness, Sabbir M. Rashid, Kristin P. Bennett, 2018, ArXiv.

Bilinear separation of two sets inn-space

Kristin P. Bennett, Olvi L. Mangasarian, O. Mangasarian, 1993, Comput. Optim. Appl..

MARK: a boosting algorithm for heterogeneous kernel models

Kristin P. Bennett, Michinari Momma, Mark J. Embrechts, 2002, KDD.

Dimensionality Reduction via Sparse Support Vector Machines

Jinbo Bi, Kristin P. Bennett, Mark J. Embrechts, 2003, J. Mach. Learn. Res..

Prediction of peptide bonding affinity: kernel methods for nonlinear modeling pdf

Kristin P. Bennett, Charles Bergeron, Curt M. Breneman, 2011, ArXiv.

A Linear Programming Approach to Novelty Detection

Colin Campbell, Kristin P. Bennett, K. Bennett, 2000, NIPS.

'Shiny' for Multiple Windows [R package mwshiny version 2.1.0]

Kristin P. Bennett, John S. Erickson, Hannah De los Santos, 2020 .

Addressing Scientific Rigor in Data Analytics Using Semantic Workflows

Deborah L. McGuinness, Kristin P. Bennett, John Sheehan, 2016, IPAW.

Strip mining for molecules

Kristin P. Bennett, Robert H. Kewley, Michinari Momma, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Kernelized set-membership approach to nonlinear adaptive filtering

Yih-Fang Huang, Kristin P. Bennett, Srinivas Andra, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

On the Global Solution of Linear Programs with Linear Complementarity Constraints

Jing Hu, John E. Mitchell, Jong-Shi Pang, 2008, SIAM J. Optim..

Time to Reactivation of Latent Tuberculosis Infection Varies by Lineage

Kristin P. Bennett, Nick Thieme, 2016, BCB.

Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining

Robert L. Grossman, Roberto J. Bayardo, Kristin P. Bennett, 2005, KDD 2005.

Column-generation boosting methods for mixture of kernels

Jinbo Bi, Tong Zhang, Kristin P. Bennett, 2004, KDD.

The Interplay of Optimization and Machine Learning Research

Kristin P. Bennett, Emilio Parrado-Hernández, E. Parrado-Hernández, 2006, J. Mach. Learn. Res..

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

Bülent Yener, Kristin P. Bennett, Cagri Ozcaglar, 2011, 2011 IEEE Symposium on Large Data Analysis and Visualization.

Knowledge Integration for Disease Characterization: A Breast Cancer Example

James A. Hendler, Deborah L. McGuinness, Oshani Seneviratne, 2018, SEMWEB.

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

Kristin P. Bennett, Charles Bergeron, Lars Olsen, 2012, J. Chem. Inf. Model..

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

Kristin P. Bennett, Charles Bergeron, Curt M. Breneman, 2013, J. Chem. Inf. Model..

A semantalytic approach to accelerated data reuse for reproducible scientific discovery

Deborah L. McGuinness, Miao Qi, Shruthi Chari, 2019 .

An Optimization Perspective on Kernel Partial Least Squares Regression

Kristin P. Bennett, K. Bennett, Kristin P. Bennett, 2003 .

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

Kristin P. Bennett, Alexander New, Kristin P. Bennett, 2018, IEEE Journal of Biomedical and Health Informatics.

Duality and Geometry in SVM Classifiers

Kristin P. Bennett, Erin J. Bredensteiner, K. Bennett, 2000, ICML.

ONLINE LEARNING WITH KNOWLEDGE-BASED SUPPORT VECTOR MACHINES

Gautam Kunapuli, Kristin P. Bennett, Richard Maclin, 2006 .

Exploiting unlabeled data in ensemble methods

Ayhan Demiriz, Kristin P. Bennett, Richard Maclin, 2002, KDD.

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

Kristin P. Bennett, Hannah De Los Santos, Emily J. Collins, 2017, BCB.

of the 2015 ChaLeam AutoML Challenge

Isabelle Guyon, Gavin C. Cawley, Hugo Jair Escalante, 2015 .

Nonsmooth Bilevel Programming for Hyperparameter Selection

Kristin P. Bennett, Charles Bergeron, Gregory M. Moore, 2009, 2009 IEEE International Conference on Data Mining Workshops.

Density-based indexing for approximate nearest-neighbor queries

Kristin P. Bennett, Dan Geiger, Usama M. Fayyad, 1999, KDD '99.

ECHO: an Application for Detection and Analysis of Oscillators Identifies Metabolic Regulation on Genome-Wide Circadian Output

Kristin P. Bennett, April W. Sagan, Meaghan S. Jankowski, 2019, bioRxiv.

Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Chicago, Illinois, USA, August 21-24, 2005

Robert L. Grossman, Roberto J. Bayardo, Kristin P. Bennett, 2005, KDD.

Hybrid extreme point tabu search

Kristin P. Bennett, Jennifer A. Blue, J. A. Blue, 1998, Eur. J. Oper. Res..

Semi-Supervised Support Vector Machines

Ayhan Demiriz, Kristin P. Bennett, K. Bennett, 1998, NIPS.

Combining support vector and mathematical programming methods for classification

Kristin P. Bennett, K. Bennett, Kristin P. Bennett, 1999 .

Enlarging the Margins in Perceptron Decision Trees

Nello Cristianini, John Shawe-Taylor, Kristin P. Bennett, 2000, Machine Learning.

A geometric approach to support vector regression

Jinbo Bi, Kristin P. Bennett, J. Bi, 2003, Neurocomputing.

Large Margin Decision Trees for Induction and Transduction

John Shawe-Taylor, Nello Cristianini, Kristin P. Bennett, 1999, ICML 1999.

Classification model selection via bilevel programming

Jing Hu, Jong-Shi Pang, Gautam Kunapuli, 2008, Optim. Methods Softw..

Bagging neural network sensitivity analysis for feature reduction for in-silico drug design

Kristin P. Bennett, Mark J. Embrechts, Curt M. Breneman, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Multiway modeling and analysis in stem cell systems biology

Bülent Yener, Kristin P. Bennett, Evrim Acar, 2008, BMC Systems Biology.

Support vector machines: hype or hallelujah?

Kristin P. Bennett, Colin Campbell, C. Campbell, 2000, SKDD.

Ontology-enabled Analysis of Study Populations

Deborah L. McGuinness, Oshani Seneviratne, Amar K. Das, 2019, ISWC Satellites.

Constrained K-Means Clustering

Ayhan Demiriz, Paul S. Bradley, Kristin P. Bennett, 2000 .

Wind turbine fault prediction using soft label SVM

Qiang Ji, Rui Zhao, Kristin P. Bennett, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces

Gunnar Rätsch, Ayhan Demiriz, Kristin P. Bennett, 2002, Machine Learning.

Duality, Geometry, and Support Vector Regression

Kristin P. Bennett, Jinbo Bi, J. Bi, 2001, NIPS.

Decision Tree Construction Via Linear Programming

Kristin P. Bennett, K. Bennett, Kristin P. Bennett, 1992 .

Typing Staphylococcus aureus Using the spa Gene and Novel Distance Measures

Kristin P. Bennett, Phaedra Agius, Barry Kreiswirth, 2007, IEEE ACM Trans. Comput. Biol. Bioinform..

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

Kristin P. Bennett, Amina Shabbeer, Minoo Aminian, 2009, 2009 IEEE International Conference on Bioinformatics and Biomedicine.

Biases in feature selection with missing data

Isabelle Guyon, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, 2019, Neurocomputing.

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

Jinbo Bi, Kristin P. Bennett, Steven M. Cramer, 2002, J. Chem. Inf. Comput. Sci..

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

Kristin P. Bennett, John S. Erickson, Andrés Vargas, 2018, ArXiv.

Scalable customized machine learning models motivated by pharmaceutical chemistry applications

Kristin P. Bennett, Charles Bergeron, 2010 .

Feature Selection Methods Based on Genetic Algorithms for in Silico Drug Design

Kristin P. Bennett, Mark J. Embrechts, Curt M. Breneman, 2003 .

Developing Scientific Knowledge Graphs Using Whyis

Deborah L. McGuinness, Sabbir M. Rashid, Kristin P. Bennett, 2018, SemSci@ISWC.

Multicategory Classification by Support Vector Machines

Kristin P. Bennett, Erin J. Bredensteiner, K. Bennett, 1999, Comput. Optim. Appl..

A clustering framework for Mycobacterium tuberculosis complex strains using multiple-biomarker tensors

Bülent Yener, Kristin P. Bennett, Cagri Ozcaglar, 2010 .

Stripmining For Molecules

Kristin P. Bennett, Robert H. Kewley, Michinari Momma, 2002 .

A Genetic Algorithm for Database Query Optimization

Michael C. Ferris, Yannis E. Ioannidis, Kristin P. Bennett, 1991, ICGA.

The Whyis Knowledge Graph Framework in Action

Deborah L. McGuinness, Sabbir M. Rashid, Kristin P. Bennett, 2018, International Semantic Web Conference.

Nonlinear Eye Gaze Mapping Function Estimation via Support Vector Regression

Zhiwei Zhu, Qiang Ji, Kristin P. Bennett, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

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

Bülent Yener, Kristin P. Bennett, Cagri Ozcaglar, 2010, 2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Semantically-targeted analytics for reproducible scientific discovery

Deborah L. McGuinness, Shruthi Chari, Sabbir M. Rashid, 2019, AIDR.

Fast Bundle Algorithm for Multiple-Instance Learning

Kristin P. Bennett, Charles Bergeron, Curt M. Breneman, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

ENCORE: A Visualization Tool for Insight into Circadian Omics

Kristin P. Bennett, Jennifer M. Hurley, Hannah De Los Santos, 2019, BCB.

Using Assignment Constraints to Avoid Empty Clusters in k-Means Clustering

Indrajit Bhattacharya, Kristin P. Bennett, Paul S. Bradley, 2008 .

Bilevel Model Selection for Support Vector Machines

Jing Hu, Jong-Shi Pang, Gautam Kunapuli, 2007 .

Cadre Modeling: Simultaneously Discovering Subpopulations and Predictive Models

Kristin P. Bennett, Curt M. Breneman, Alexander New, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

A Genetic Algorithm Approach for Semi-Supervised Clustering

Ayhan Demiriz, Kristin P. Bennett, Mark J. Embrechts, 2002 .

A Parametric Optimization Method for Machine Learning

Kristin P. Bennett, Erin J. Bredensteiner, Kristin P. Bennett, 1997, INFORMS J. Comput..

Model selection for primal SVM

Kristin P. Bennett, Charles Bergeron, Gregory M. Moore, 2011, Machine Learning.

A conformal Bayesian network for classification of Mycobacterium tuberculosis complex lineages

Kristin P. Bennett, Amina Shabbeer, Minoo Aminian, 2010, BMC Bioinformatics.

Privacy Preserving Synthetic Health Data

Isabelle Guyon, Kristin P. Bennett, Ritik Dutta, 2019, ESANN.

Feature minimization within decision trees

Kristin P. Bennett, Erin J. Bredensteiner, Kristin P. Bennett, 1998 .

Semi-Supervised Clustering Using Genetic Algorithms

Ayhan Demiriz, Kristin P. Bennett, A. Demiriz, 1999 .

Sparse Kernel Partial Least Squares Regression

Kristin P. Bennett, Michinari Momma, Michinari Momma, 2003, COLT.

Signal Timing Estimation Using Sample Intersection Travel Times

Qiang Ji, Peng Hao, Kristin P. Bennett, 2012, IEEE Transactions on Intelligent Transportation Systems.

Medical Time-Series Data Generation Using Generative Adversarial Networks

Isabelle Guyon, Kristin P. Bennett, Andrew Yale, 2020, AIME.

Ontology-enabled Breast Cancer Characterization

James A. Hendler, Deborah L. McGuinness, Oshani Seneviratne, 2018, International Semantic Web Conference.

SemNExT: A Framework for Semantically Integrating and Exploring Numeric Analyses

Deborah L. McGuinness, Kristin P. Bennett, Evan W. Patton, 2015, SemStats@ISWC.

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

Kristin P. Bennett, Charles Bergeron, Curt M. Breneman, 2011, J. Chem. Inf. Model..

Large margin classification methods for data mining

Kristin P. Bennett, Donghui Wu, 1999 .

A Column Generation Algorithm For Boosting

John Shawe-Taylor, Ayhan Demiriz, Kristin P. Bennett, 2000, ICML.

Large Margin Trees for Induction and Transduction

Nello Cristianini, John Shawe-Taylor, Kristin P. Bennett, 1999, ICML.

Support Vector Machines and Other Kernel Methods

Kristin P. Bennett, 2005, FUZZ-IEEE.

The Adviceptron: Giving Advice to the Perceptron

Gautam Kunapuli, Kristin P. Bennett, Richard Maclin, 2010 .

Regression Error Characteristic Curves

Jinbo Bi, Kristin P. Bennett, J. Bi, 2003, ICML.

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

Bülent Yener, Kristin P. Bennett, Cagri Ozcaglar, 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine.

MOSAIC: A Joint Modeling Methodology for Combined Circadian and Non-Circadian Analysis of Multi-Omics Data

Kristin P. Bennett, Hannah De Los Santos, Jennifer M. Hurley, 2020, bioRxiv.

Temporal analysis of social determinants associated with COVID-19 mortality

Kristin P. Bennett, John S. Erickson, Shayom Debopadhaya, 2021, BCB.

Quantifying Resemblance of Synthetic Medical Time-Series

Isabelle Guyon, Kristin P. Bennett, Karan Bhanot, 2021, ESANN.

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

Kristin P. Bennett, Dharmashankar Subramanian, Tian Gao, 2021, BCB.

Predictive Modeling for Complex Care Management

Malik Magdon-Ismail, Kristin P. Bennett, Georgios Mavroudeas, 2021, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Machine learning via mathematical programming

Kristin P. Bennett, 1993 .

Molecular Descriptors for Biological Systems

Kristin P. Bennett, Curt M. Breneman, Nagamani Sukumar, 2011 .

Response to Mease and Wyner, Evidence Contrary to the Statistical View of Boosting, JMLR 9:131-156, 2008

Kristin P. Bennett, Kristin P. Bennett, 2008 .

Chapter 28 Constructing Orthogonal Latent Features for Arbitrary Loss

Kristin P. Bennett, Michinari Momma, 2006 .

Bilevel programming algorithms for machine learning model selection

Kristin P. Bennett, Gregory M. Moore, Kristin P. Bennett, 2010 .

Synthesizing Quality Open Data Assets from Private Health Research Studies

Isabelle Guyon, Kristin P. Bennett, John S. Erickson, 2020, BIS.

Chapter 1 OPTIMIZATION APPROACHES TO SEMI-SUPER- VISED LEARNING

Ayhan Demiriz, Kristin P. Bennett, K. Bennett, 2000 .

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

Jinbo Bi, Kristin P. Bennett, Steven M. Cramer, 2003 .

Data Analytics as Data : A Semantic Workflow Approach

Deborah L. McGuinness, Kristin P. Bennett, John S. Erickson, 2016 .