World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
13658
World Ranking
5251
National Ranking
2419

Overview

Kristin P. Bennett is affiliated with Rensselaer Polytechnic Institute in the United States. Their research primarily centers on the intersection of computer science and healthcare, with a focus on various specialized subfields and topics.

The main fields of study for this scientist include Computer Science, with significant contributions in subfields such as Artificial Intelligence, Economics and Econometrics, Molecular Biology, Statistics and Probability, and Signal Processing.

Key research topics addressed in their work comprise:

  • Machine Learning in Healthcare
  • Advanced Causal Inference Techniques
  • Health Systems, Economic Evaluations, Quality of Life
  • Health disparities and outcomes
  • Time Series Analysis and Forecasting
  • Insurance, Mortality, Demography, Risk Management
  • COVID-19 epidemiological studies

Their publication record includes contributions to a variety of venues, with frequent appearances in:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • Neurocomputing
  • 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
  • Regular and Young Investigator Award Abstracts

Recent papers authored or co-authored by this researcher are:

  • "Generation and evaluation of privacy preserving synthetic health data," 2020, Neurocomputing
  • "The Problem of Fairness in Synthetic Healthcare Data," 2021, Entropy
  • "Unmasking the conversation on masks: Natural language processing for topical sentiment analysis of COVID-19 Twitter discourse," 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • "Quantifying representativeness in randomized clinical trials using machine learning fairness metrics," 2021, JAMIA Open
  • "Demographic and socioeconomic determinants of access to care: A subgroup disparity analysis using new equity-focused measurements," 2023, PLoS ONE

Frequent co-authors collaborating with Kristin P. Bennett include John Erickson, Miao Qi, Isabelle Guyon, Karan Bhanot, and Oshani Seneviratne.

Best Publications

  • Semi-Supervised Support Vector Machines

    Kristin P. Bennett;Ayhan Demiriz

  • Robust linear programming discrimination of two linearly inseparable sets

    Kristin P Bennett;Olvi L Mangasarian

  • Support vector machines: hype or hallelujah?

    Kristin P. Bennett;Colin Campbell

  • Dimensionality reduction via sparse support vector machines

    Jinbo Bi;Kristin Bennett;Mark Embrechts;Curt Breneman

  • Linear Programming Boosting via Column Generation

    Ayhan Demiriz;Kristin P. Bennett;John Shawe-Taylor

  • Duality and Geometry in SVM Classifiers

    Kristin P. Bennett;Erin J. Bredensteiner

  • Multicategory Classification by Support Vector Machines

    Erin J. Bredensteiner;Kristin P. Bennett

  • Constrained K-Means Clustering

    K.P. Bennett;P.S. Bradley;A. Demiriz

  • Building Support Vector Machines with Reduced Classifier Complexity

    S. Sathiya Keerthi;Olivier Chapelle;Dennis DeCoste

  • A support vector machine approach to decision trees

    K.P. Bennett;J.A. Blue

  • A Linear Programming Approach to Novelty Detection

    Colin Campbell;Kristin P. Bennett

  • Regression error characteristic curves

    Jinbo Bi;Kristin P. Bennett

  • Exploiting unlabeled data in ensemble methods

    Kristin P. Bennett;Ayhan Demiriz;Richard Maclin

  • Multicategory discrimination via linear programming

    Kristin P Bennett;Olvi L Mangasarian

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

    Michinari Momma;Kristin P. Bennett

  • Prediction of protein retention times in anion-exchange chromatography systems using support vector regression.

    Minghu Song;Curt M. Breneman;Jinbo Bi;Nagamani Sukumar

  • The Interplay of Optimization and Machine Learning Research

    Kristin P. Bennett;Emilio Parrado-Hernández

  • A Genetic Algorithm for Database Query Optimization

    Kristin P. Bennett;Michael C. Ferris;Yannis E. Ioannidis

  • Identifying Mycobacterium tuberculosis complex strain families using spoligotypes.

    Inna Vitol;Jeffrey Driscoll;Barry Kreiswirth;Natalia Kurepina

  • An Optimization Perspective on Kernel Partial Least Squares Regression

    K. P. Bennett

  • Bilinear separation of two sets in n -space

    Kristin P. Bennett;O. L. Mangasarian

  • Decision Tree Construction Via Linear Programming

    Kristin P Bennett

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

    Robert Grossman;Roberto Bayardo;Kristin Bennett

Frequent Co-Authors

Deborah L. McGuinness
Deborah L. McGuinness Rensselaer Polytechnic Institute
Isabelle Guyon
Isabelle Guyon University of Paris-Saclay
Bülent Yener
Bülent Yener Rensselaer Polytechnic Institute
Jinbo Bi
Jinbo Bi University of Connecticut
Jong-Shi Pang
Jong-Shi Pang University of Southern California
Olvi L. Mangasarian
Olvi L. Mangasarian University of Wisconsin–Madison
James A. Hendler
James A. Hendler Rensselaer Polytechnic Institute
John Shawe-Taylor
John Shawe-Taylor University College London
Nello Cristianini
Nello Cristianini University of Bath
Nalin Rastogi
Nalin Rastogi Institut Pasteur

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