Kristin P. Bennett

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 70

Top Venues

Publications

Nafis Neehal, Bowen Wang, Shayom Debopadhaya, Soham Dan, Keerthiram Murugesan, Vibha Anand, Kristin P. Bennett
CTBench: A Comprehensive Benchmark for Evaluating Language Model Capabilities in Clinical Trial Design. CoRR (2024)
Xiao Shou, Dharmashankar Subramanian, Debarun Bhattacharjya, Tian Gao, Kristin P. Bennett
Self-Supervised Contrastive Pre-Training for Multivariate Point Processes. CoRR (2024)
Karan Bhanot, John S. Erickson, Kristin P. Bennett
MortalityMinder: Visualization and AI Interpretations of Social Determinants of Premature Mortality in the United States. Inf. 15 (5) (2024)
Aaron M. Green, Michael P. Giannattasio, John S. Erickson, Oshani Seneviratne, Kristin P. Bennett
DeFi Survival Analysis: Insights Into the Emerging Decentralized Financial Ecosystem. Distributed Ledger Technol. Res. Pract. 3 (1) (2024)
Xiao Shou, Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Kristin P. Bennett
Influence-Aware Attention for Multivariate Temporal Point Processes. CLeaR (2023)
Xiao Shou, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Oktie Hassanzadeh, Kristin P. Bennett
Probabilistic Attention-to-Influence Neural Models for Event Sequences. ICML (2023)
Xiao Shou, Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Kristin P. Bennett
Concurrent Multi-Label Prediction in Event Streams. AAAI (2023)
Miao Qi, Amar K. Das, Kristin P. Bennett
Planning and Monitoring Equitable Clinical Trial Enrollment Using Goal Programming. IEEE J. Biomed. Health Informatics 27 (2) (2023)
Paulo Pinheiro, Henrique Santos, Miao Qi, Kristin P. Bennett, Deborah L. McGuinness
Towards Machine-Assisted Biomedical Data Preparation: A Use Case on Disparity in Access to Health Care. SeWeBMeDA@ESWC (2023)
Conor Flynn, Kristin P. Bennett, John S. Erickson, Aaron Green, Oshani Seneviratne
Enabling Cross-Language Data Integration and Scalable Analytics in Decentralized Finance. BigData (2023)
Aaron Green, Michael P. Giannattasio, Keran Wang, John S. Erickson, Oshani Seneviratne, Kristin P. Bennett
Characterizing Common Quarterly Behaviors in DeFi Lending Protocols. MARBLE (2023)
Xiao Shou, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Oktie Hassanzadeh, Kristin P. Bennett
Pairwise Causality Guided Transformers for Event Sequences. NeurIPS (2023)
Karan Bhanot, Dennis Wei, Ioana Baldini, Kristin P. Bennett
Adversarial Auditing of Machine Learning Models under Compound Shift. ESANN (2023)
Kristin P. Bennett, Michael C. Ferris, Jong-Shi Pang, Mikhail V. Solodov, Stephen J. Wright
Special Issue: Hierarchical Optimization. Math. Program. 198 (2) (2023)
Conor Flynn, Kristin P. Bennett, John S. Erickson, Aaron Green, Oshani Seneviratne
Enabling Cross-Language Data Integration and Scalable Analytics in Decentralized Finance. CoRR (2023)
Karan Bhanot, Ioana Baldini, Dennis Wei, Jiaming Zeng, Kristin P. Bennett
Stress-Testing Bias Mitigation Algorithms to Understand Fairness Vulnerabilities. AIES (2023)
Jade S. Franklin, Hannah Powers, John S. Erickson, Jamie P. McCusker, Deborah L. McGuinness, Kristin P. Bennett
An Ontology for Reasoning About Fairness in Regression and Machine Learning. KGSWC (2023)
Oshani Seneviratne, Amar K. Das, Shruthi Chari, Nkechinyere N. Agu, Sabbir M. Rashid, Jamie P. McCusker, Jade S. Franklin, Miao Qi, Kristin P. Bennett, Ching-Hua Chen, James A. Hendler, Deborah L. McGuinness
Semantically enabling clinical decision support recommendations. J. Biomed. Semant. 14 (1) (2023)
Abraham Sanders, Debjani Ray-Majumder, John S. Erickson, Kristin P. Bennett
Should we tweet this? Generative response modeling for predicting reception of public health messaging on Twitter. CoRR (2022)
Georgios Mavroudeas, Malik Magdon-Ismail, Xiao Shou, Kristin P. Bennett
HMM-Boost: Improved Time Series State Prediction Via Supervised Hidden Markov Models: Case Studies in Epileptic Seizure and Complex Care Management. ICKG (2022)
Georgios Mavroudeas, Nafis Neehal, Jason Nicholas Kuruzovich, Kristin P. Bennett, Malik Magdon-Ismail
Subpopulation Analysis in Causal Inference: A Healthcare Case Study. BIBM (2022)
Jade S. Franklin, Karan Bhanot, Mohamed F. Ghalwash, Kristin P. Bennett, Jamie P. McCusker, Deborah L. McGuinness
An Ontology for Fairness Metrics. AIES (2022)
Karan Bhanot, Ioana Baldini, Dennis Wei, Jiaming Zeng, Kristin P. Bennett
Evaluating Fairness of Synthetic Healthcare Data Models. AMIA (2022)
Karan Bhanot, Joseph Pedersen, Isabelle Guyon, Kristin P. Bennett
Investigating synthetic medical time-series resemblance. Neurocomputing 494 (2022)
Georgios Mavroudeas, Malik Magdon-Ismail, Xiao Shou, Kristin P. Bennett
HMM-Boost: Improved Time Series State Prediction Via Supervised Hidden Markov Models: Case Studies in Epileptic Seizure and Complex Care Management. ICDM (Workshops) (2022)
Abraham Sanders, Debjani Ray-Majumder, John S. Erickson, Kristin P. Bennett
Should we tweet this? Generative response modeling for predicting reception of public health messaging on Twitter. WebSci (2022)
Aaron Green, Christopher Cammilleri, John S. Erickson, Oshani Seneviratne, Kristin P. Bennett
DeFi Survival Analysis: Insights into Risks and User Behaviors. MARBLE (2022)
Karan Bhanot, Ioana Baldini, Dennis Wei, Jiaming Zeng, Kristin P. Bennett
Downstream Fairness Caveats with Synthetic Healthcare Data. CoRR (2022)
Hannah De Los Santos, Kristin P. Bennett, Jennifer M. Hurley
MOSAIC: a joint modeling methodology for combined circadian and non-circadian analysis of multi-omics data. Bioinform. 37 (6) (2021)
Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Xiao Shou, Nicholas Mattei, Kristin P. Bennett
Causal Inference for Event Pairs in Multivariate Point Processes. NeurIPS (2021)
Georgios Mavroudeas, Nafis Neehal, Xiao Shou, Malik Magdon-Ismail, Jason Nicholas Kuruzovich, Kristin P. Bennett
Predictive Modeling for Complex Care Management. BIBM (2021)
Miao Qi, Amar K. Das, Kristin P. Bennett
Planning Equitable Clinical Trial Enrollment using Integer Programming. AMIA (2021)
Karan Bhanot, Saloni Dash, Joseph Pedersen, Isabelle Guyon, Kristin P. Bennett
Quantifying Resemblance of Synthetic Medical Time-Series. ESANN (2021)
Shayom Debopadhaya, John S. Erickson, Kristin P. Bennett
Temporal analysis of social determinants associated with COVID-19 mortality. BCB (2021)
Karan Bhanot, Miao Qi, John S. Erickson, Isabelle Guyon, Kristin P. Bennett
The Problem of Fairness in Synthetic Healthcare Data. Entropy 23 (9) (2021)
Xiao Shou, Tian Gao, Dharmashankar Subramanian, Kristin P. Bennett
Match2: hybrid self-organizing map and deep learning strategies for treatment effect estimation. BCB (2021)
Kristin P. Bennett, Lilian M. Ngweta, Karan Bhanot, John S. Erickson
MortalityMinder: A Web Tool for Visualizing and Investigating Social Determinants of Premature Mortality in the United States. AMIA (2020)
Alexander New, Kristin P. Bennett
A Precision Environment-Wide Association Study of Hypertension via Supervised Cadre Models. IEEE J. Biomed. Health Informatics 24 (3) (2020)
Miao Qi, Owen Cahan, Morgan Foreman, Daniel Gruen, Amar K. Das, Kristin P. Bennett
Visualizing Inequities in Clinical Trials using ML Fairness Metrics. AMIA (2020)
Saloni Dash, Andrew Yale, Isabelle Guyon, Kristin P. Bennett
Medical Time-Series Data Generation Using Generative Adversarial Networks. AIME (2020)
Andrew Yale, Saloni Dash, Karan Bhanot, Isabelle Guyon, John S. Erickson, Kristin P. Bennett
Synthesizing Quality Open Data Assets from Private Health Research Studies. BIS (Workshops) (2020)
Andrew Yale, Saloni Dash, Ritik Dutta, Isabelle Guyon, Adrien Pavao, Kristin P. Bennett
Generation and evaluation of privacy preserving synthetic health data. Neurocomputing 416 (2020)
Hannah De Los Santos, Emily J. Collins, Catherine Mann, April W. Sagan, Meaghan S. Jankowski, Kristin P. Bennett, Jennifer M. Hurley
ECHO: an application for detection and analysis of oscillators identifies metabolic regulation on genome-wide circadian output. Bioinform. 36 (3) (2020)
Alexander New, Shruthi Chari, Miao Qi, Sabbir M. Rashid, John S. Erickson, Deborah L. McGuinness, Kristin P. Bennett
Semantically-targeted analytics for reproducible scientific discovery. AIDR (2019)
Shruthi Chari, Miao Qi, Nkechinyere N. Agu, Oshani Seneviratne, Jamie P. McCusker, Kristin P. Bennett, Amar K. Das, Deborah L. McGuinness
Ontology-enabled Analysis of Study Populations. ISWC (Satellites) (2019)
Shruthi Chari, Miao Qi, Nkechinyere N. Agu, Oshani Seneviratne, Jamie P. McCusker, Kristin P. Bennett, Amar K. Das, Deborah L. McGuinness
Making Study Populations Visible through Knowledge Graphs. CoRR (2019)
Alexander New, Miao Qi, Shruthi Chari, Sabbir M. Rashid, Oshani Seneviratne, Jamie P. McCusker, John S. Erickson, Deborah L. McGuinness, Kristin P. Bennett
Automating Population Health Studies Through Semantics and Statistics. SAWSemStats@ISWC (2019)
Borja Seijo-Pardo, Amparo Alonso-Betanzos, Kristin P. Bennett, Verónica Bolón-Canedo, Julie Josse, Mehreen Saeed, Isabelle Guyon
Biases in feature selection with missing data. Neurocomputing 342 (2019)
Shruthi Chari, Miao Qi, Nkechinyere N. Agu, Oshani Seneviratne, Jamie P. McCusker, Kristin P. Bennett, Amar K. Das, Deborah L. McGuinness
Making Study Populations Visible Through Knowledge Graphs. ISWC (2) (2019)
Andrew Yale, Saloni Dash, Ritik Dutta, Isabelle Guyon, Adrien Pavao, Kristin P. Bennett
Privacy Preserving Synthetic Health Data. ESANN (2019)
Andrew Yale, Saloni Dash, Ritik Dutta, Isabelle Guyon, Adrien Pavao, Kristin P. Bennett
Assessing privacy and quality of synthetic health data. AIDR (2019)
Hannah De Los Santos, Kristin P. Bennett, Jennifer M. Hurley
ENCORE: A Visualization Tool for Insight into Circadian Omics. BCB (2019)
Xiao Shou, Georgios Mavroudeas, Alexander New, Kofi Arhin, Jason Nicholas Kuruzovich, Malik Magdon-Ismail, Kristin P. Bennett
Supervised Mixture Models for Population Health. BIBM (2019)
Saloni Dash, Ritik Dutta, Isabelle Guyon, Adrien Pavao, Andrew Yale, Kristin P. Bennett
Synthetic Event Time Series Health Data Generation. CoRR (2019)
Kristin P. Bennett
Artificial Intelligence for Public Health. BIBM (2019)
Alexander New, Sabbir M. Rashid, John S. Erickson, Deborah L. McGuinness, Kristin P. Bennett
Semantically-aware population health risk analyses. CoRR (2018)
Oshani Seneviratne, Sabbir M. Rashid, Shruthi Chari, Jamie P. McCusker, Kristin P. Bennett, James A. Hendler, Deborah L. McGuinness
Knowledge Integration for Disease Characterization: A Breast Cancer Example. CoRR (2018)
Oshani Seneviratne, Sabbir M. Rashid, Shruthi Chari, Jamie P. McCusker, Kristin P. Bennett, Jim Hendler, Deborah L. McGuinness
Ontology-enabled Breast Cancer Characterization. ISWC (P&D/Industry/BlueSky) (2018)
Alexander New, Curt M. Breneman, Kristin P. Bennett
Cadre Modeling: Simultaneously Discovering Subpopulations and Predictive Models. CoRR (2018)
Jamie P. McCusker, Sabbir M. Rashid, Nkechinyere Agu, Kristin P. Bennett, Deborah L. McGuinness
Developing Scientific Knowledge Graphs Using Whyis. SemSci@ISWC (2018)
Andrés Vargas, Md. Ridwan Al Iqbal, John S. Erickson, Kristin P. Bennett
Grey-box Process Control Mining for Anomaly Monitoring and Deconstruction. CoRR (2018)
Oshani Seneviratne, Sabbir M. Rashid, Shruthi Chari, Jamie P. McCusker, Kristin P. Bennett, James A. Hendler, Deborah L. McGuinness
Knowledge Integration for Disease Characterization: A Breast Cancer Example. ISWC (2) (2018)
Alexander New, Curt M. Breneman, Kristin P. Bennett
Cadre Modeling: Simultaneously Discovering Subpopulations and Predictive Models. IJCNN (2018)
Jamie P. McCusker, Sabbir M. Rashid, Nkechinyere Agu, Kristin P. Bennett, Deborah L. McGuinness
The Whyis Knowledge Graph Framework in Action. ISWC (P&D/Industry/BlueSky) (2018)
Borja Seijo-Pardo, Amparo Alonso-Betanzos, Kristin P. Bennett, Verónica Bolón-Canedo, Isabelle Guyon, Julie Josse, Mehreen Saeed
Analysis of imputation bias for feature selection with missing data. ESANN (2018)
Alexander New, Kristin P. Bennett
A Precision Environment-Wide Association Study of Hypertension via Supervised Cadre Models. CoRR (2018)
Hannah De Los Santos, Emily J. Collins, Jennifer M. Hurley, Kristin P. Bennett
Exhibit Biologically Relevant Driven and Damped Harmonic Oscillations. BCB (2017)
John S. Erickson, John Sheehan, Kristin P. Bennett, Deborah L. McGuinness
Addressing Scientific Rigor in Data Analytics Using Semantic Workflows. IPAW (2016)
Nick Thieme, Kristin P. Bennett
Time to Reactivation of Latent Tuberculosis Infection Varies by Lineage. BCB (2016)
Rui Zhao, Md. Ridwan Al Iqbal, Kristin P. Bennett, Qiang Ji
Wind turbine fault prediction using soft label SVM. ICPR (2016)
James Ryan, James A. Hendler, Kristin P. Bennett
Understanding Emergency Department 72-Hour Revisits Among Medicaid Patients Using Electronic Healthcare Records. Big Data 3 (4) (2015)
Isabelle Guyon, Kristin P. Bennett, Gavin C. Cawley, Hugo Jair Escalante, Sergio Escalera, Tin Kam Ho, Núria Macià, Bisakha Ray, Mehreen Saeed, Alexander R. Statnikov, Evelyne Viegas
Design of the 2015 ChaLearn AutoML challenge. IJCNN (2015)
Evan W. Patton, Elisabeth Brown, Matthew Poegel, Hannah De Los Santos, Chris Fasano, Kristin P. Bennett, Deborah L. McGuinness
SemNExT: A Framework for Semantically Integrating and Exploring Numeric Analyses. SemStats@ISWC (2015)
Tao-wei Huang, Jed Zaretzki, Charles Bergeron, Kristin P. Bennett, Curt M. Breneman
DR-Predictor: Incorporating Flexible Docking with Specialized Electronic Reactivity and Machine Learning Techniques to Predict CYP-Mediated Sites of Metabolism. J. Chem. Inf. Model. 53 (12) (2013)
Charles Bergeron, Gregory M. Moore, Jed Zaretzki, Curt M. Breneman, Kristin P. Bennett
Fast Bundle Algorithm for Multiple-Instance Learning. IEEE Trans. Pattern Anal. Mach. Intell. 34 (6) (2012)
Jed Zaretzki, Patrik Rydberg, Charles Bergeron, Kristin P. Bennett, Lars Olsen, Curt M. Breneman
RS-Predictor Models Augmented with SMARTCyp Reactivities: Robust Metabolic Regioselectivity Predictions for Nine CYP Isozymes. J. Chem. Inf. Model. 52 (6) (2012)
Peng Hao, Xuegang Ban, Kristin P. Bennett, Qiang Ji, Zhanbo Sun
Signal Timing Estimation Using Sample Intersection Travel Times. IEEE Trans. Intell. Transp. Syst. 13 (2) (2012)
Gregory M. Moore, Charles Bergeron, Kristin P. Bennett
Model selection for primal SVM. Mach. Learn. 85 (1-2) (2011)
Minoo Aminian, Amina Shabbeer, Kane Hadley, Cagri Ozcaglar, Scott L. Vandenberg, Kristin P. Bennett
complex sublineages. BCB (2011)
Jed Zaretzki, Charles Bergeron, Patrik Rydberg, Tao-wei Huang, Kristin P. Bennett, Curt M. Breneman
RS-Predictor: A New Tool for Predicting Sites of Cytochrome P450-Mediated Metabolism Applied to CYP 3A4. J. Chem. Inf. Model. 51 (7) (2011)
Charles Bergeron, Gregory M. Moore, Michael P. Krein, Curt M. Breneman, Kristin P. Bennett
Exploiting Domain Knowledge for Improved Quantitative High-Throughput Screening Curve Fitting. J. Chem. Inf. Model. 51 (11) (2011)
Charles Bergeron, Theresa Hepburn, C. Matthew Sundling, Michael P. Krein, William P. Katt, Nagamani Sukumar, Curt M. Breneman, Kristin P. Bennett
Prediction of peptide bonding affinity: kernel methods for nonlinear modeling CoRR (2011)
Cagri Ozcaglar, Amina Shabbeer, Natalia Kurepina, Bülent Yener, Kristin P. Bennett
Data-Driven Insights into Deletions of Mycobacterium tuberculosis Complex Chromosomal DR Region Using Spoligoforests. BIBM (2011)
Amina Shabbeer, Cagri Ozcaglar, Bülent Yener, Kristin P. Bennett
Preserving proximity relations and minimizing edge-crossings in high dimensional graph visualizations. LDAV (2011)
Kristin P. Bennett, Cagri Ozcaglar, Janani Ranganathan, Srivatsan Raghavan, Jacob Katz, Dan Croft, Bülent Yener, Amina Shabbeer
Visualization of tuberculosis patient and Mycobacterium tuberculosis complex genotype data via host-pathogen maps. BIBM Workshops (2011)
Minoo Aminian, Amina Shabbeer, Kristin P. Bennett
complex lineages. BMC Bioinform. 11 (S-3) (2010)
Gautam Kunapuli, Kristin P. Bennett, Amina Shabbeer, Richard Maclin, Jude W. Shavlik
Online Knowledge-Based Support Vector Machines. ECML/PKDD (2) (2010)
Cagri Ozcaglar, Amina Shabbeer, Scott L. Vandenberg, Bülent Yener, Kristin P. Bennett
Examining the sublineage structure of Mycobacterium tuberculosis complex strains with multiple-biomarker tensors. BIBM (2010)
Minoo Aminian, Amina Shabbeer, Kristin P. Bennett
Determination of Major Lineages of Mycobacterium tuberculosis Complex Using Mycobacterial Interspersed Repetitive Units. BIBM (2009)
Gregory M. Moore, Charles Bergeron, Kristin P. Bennett
Nonsmooth Bilevel Programming for Hyperparameter Selection. ICDM Workshops (2009)
Daniel L. Silver, Kristin P. Bennett
Guest editor's introduction: special issue on inductive transfer learning. Mach. Learn. 73 (3) (2008)
Kristin P. Bennett, Gautam Kunapuli, Jing Hu, Jong-Shi Pang
Bilevel Optimization and Machine Learning. WCCI (2008)
Gautam Kunapuli, Kristin P. Bennett, Jing Hu, Jong-Shi Pang
Classification model selection via bilevel programming. Optim. Methods Softw. 23 (4) (2008)
Charles Bergeron, Jed Zaretzki, Curt M. Breneman, Kristin P. Bennett
Multiple instance ranking. ICML (2008)
Jing Hu, John E. Mitchell, Jong-Shi Pang, Kristin P. Bennett, Gautam Kunapuli
On the Global Solution of Linear Programs with Linear Complementarity Constraints. SIAM J. Optim. 19 (1) (2008)
Bülent Yener, Evrim Acar, Phaedra Agius, Kristin P. Bennett, Scott L. Vandenberg, George E. Plopper
Multiway modeling and analysis in stem cell systems biology. BMC Syst. Biol. 2 (2008)
Roberto J. Bayardo, Kristin P. Bennett, Gautam Das, Dimitrios Gunopulos, Johannes Gunopulos
Introduction to special issue ACM SIGKDD 2006. ACM Trans. Knowl. Discov. Data 1 (3) (2007)
Phaedra Agius, Barry Kreiswirth, Steve Naidich, Kristin P. Bennett
Typing Staphylococcus aureus Using the spa Gene and Novel Distance Measures. IEEE ACM Trans. Comput. Biol. Bioinform. 4 (4) (2007)
Kristin P. Bennett, Jing Hu, Xiaoyun Ji, Gautam Kunapuli, Jong-Shi Pang
Model Selection via Bilevel Optimization. IJCNN (2006)
Zhiwei Zhu, Qiang Ji, Kristin P. Bennett
Nonlinear Eye Gaze Mapping Function Estimation via Support Vector Regression. ICPR (1) (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kristin P. Bennett