A Genetic Algorithm for Database Query Optimization. - Kristin P. Bennett; Michael C. Ferris; Yannis E. Ioannidis (ICGA, 1991)

Bilinear separation of two sets inn-space. - Kristin P. Bennett; O. L. Mangasarian (Comput. Optim. Appl., 1993)

Serial and Parallel Multicategory Discrimination. - Kristin P. Bennett; Olvi L. Mangasarian (SIAM J. Optim., 1994)

A Parametric Optimization Method for Machine Learning. - Kristin P. Bennett; Erin J. Bredensteiner (INFORMS J. Comput., 1997)

Semi-Supervised Support Vector Machines. - Kristin P. Bennett; Ayhan Demiriz (NIPS, 1998)

Hybrid extreme point tabu search. - Jennifer A. Blue; Kristin P. Bennett (Eur. J. Oper. Res., 1998)

Large Margin Trees for Induction and Transduction. - Donghui Wu; Kristin P. Bennett; Nello Cristianini; John Shawe-Taylor (ICML, 1999)

On support vector decision trees for database marketing. - Kristin P. Bennett; Donghui Wu; Leonardo Auslender (IJCNN, 1999)

Density-Based Indexing for Approximate Nearest-Neighbor Queries. - Kristin P. Bennett; Usama M. Fayyad; Dan Geiger (KDD, 1999)

Multicategory Classification by Support Vector Machines. - Erin J. Bredensteiner; Kristin P. Bennett (Comput. Optim. Appl., 1999)

A Column Generation Algorithm For Boosting. - Kristin P. Bennett; Ayhan Demiriz; John Shawe-Taylor (ICML, 2000)

Duality and Geometry in SVM Classifiers. - Kristin P. Bennett; Erin J. Bredensteiner (ICML, 2000)

A Linear Programming Approach to Novelty Detection. - Colin Campbell; Kristin P. Bennett (NIPS, 2000)

Enlarging the Margins in Perceptron Decision Trees. - Kristin P. Bennett; Nello Cristianini; John Shawe-Taylor; Donghui Wu (Mach. Learn., 2000)

Support Vector Machines: Hype or Hallelujah? - Kristin P. Bennett; Colin Campbell (SIGKDD Explor., 2000)

Duality, Geometry, and Support Vector Regression. - Jinbo Bi; Kristin P. Bennett (NIPS, 2001)

Exploiting unlabeled data in ensemble methods. - Kristin P. Bennett; Ayhan Demiriz; Richard Maclin (KDD, 2002)

MARK: a boosting algorithm for heterogeneous kernel models. - Kristin P. Bennett; Michinari Momma; Mark J. Embrechts (KDD, 2002)

A Pattern Search Method for Model Selection of Support Vector Regression. - Michinari Momma; Kristin P. Bennett (SDM, 2002)

Prediction of Protein Retention Times in Anion-Exchange Chromatography Systems Using Support Vector Regression. - Minghu Song; Curt M. Breneman; Jinbo Bi; Nagamani Sukumar; Kristin P. Bennett; Steven M. Cramer; Nihal Tugcu (J. Chem. Inf. Comput. Sci., 2002)

Linear Programming Boosting via Column Generation. - Ayhan Demiriz; Kristin P. Bennett; John Shawe-Taylor (Mach. Learn., 2002)

Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces. - Gunnar Rätsch; Ayhan Demiriz; Kristin P. Bennett (Mach. Learn., 2002)

Sparse Kernel Partial Least Squares Regression. - Michinari Momma; Kristin P. Bennett (COLT, 2003)

Regression Error Characteristic Curves. - Jinbo Bi; Kristin P. Bennett (ICML, 2003)

A geometric approach to support vector regression. - Jinbo Bi; Kristin P. Bennett (Neurocomputing, 2003)

Dimensionality Reduction via Sparse Support Vector Machines. - Jinbo Bi; Kristin P. Bennett; Mark J. Embrechts; Curt M. Breneman; Minghu Song (J. Mach. Learn. Res., 2003)

Decision-tree learning in dwell point policies in autonomous vehicle storage and retrieval systems (AVSRS). - Miki Fukunari; Kristin P. Bennett; Charles J. Malmborg (ICMLA, 2004)

Column-generation boosting methods for mixture of kernels. - Jinbo Bi; Tong Zhang 001; Kristin P. Bennett (KDD, 2004)

Support Vector Machines and Other Kernel Methods. - Kristin P. Bennett (FUZZ-IEEE, 2005)

Kernelized set-membership approach to nonlinear adaptive filtering. - Amaresh V. Malipatil; Yih-Fang Huang; Srinivas Andra; Kristin P. Bennett (ICASSP (4), 2005)

Constructing Orthogonal Latent Features for Arbitrary Loss. - Michinari Momma; Kristin P. Bennett (Feature Extraction, 2006)

Nonlinear Eye Gaze Mapping Function Estimation via Support Vector Regression. - Zhiwei Zhu; Qiang Ji; Kristin P. Bennett (ICPR (1), 2006)

Model Selection via Bilevel Optimization. - Kristin P. Bennett; Jing Hu; Xiaoyun Ji; Gautam Kunapuli; Jong-Shi Pang (IJCNN, 2006)

The Interplay of Optimization and Machine Learning Research. - Kristin P. Bennett; Emilio Parrado-Hernández (J. Mach. Learn. Res., 2006)

Typing Staphylococcus aureus Using the spa Gene and Novel Distance Measures. - Phaedra Agius; Barry Kreiswirth; Steve Naidich; Kristin P. Bennett (IEEE ACM Trans. Comput. Biol. Bioinform., 2007)

Introduction to special issue ACM SIGKDD 2006. - Roberto J. Bayardo; Kristin P. Bennett; Gautam Das 001; Dimitrios Gunopulos; Johannes Gunopulos (ACM Trans. Knowl. Discov. Data, 2007)

Multiple instance ranking. - Charles Bergeron; Jed Zaretzki; Curt M. Breneman; Kristin P. Bennett (ICML, 2008)

Bilevel Optimization and Machine Learning. - Kristin P. Bennett; Gautam Kunapuli; Jing Hu; Jong-Shi Pang (WCCI, 2008)

Multiway modeling and analysis in stem cell systems biology. - Bülent Yener; Evrim Acar; Phaedra Agius; Kristin P. Bennett; Scott L. Vandenberg; George E. Plopper (BMC Syst. Biol., 2008)

Guest editor's introduction: special issue on inductive transfer learning. - Daniel L. Silver; Kristin P. Bennett (Mach. Learn., 2008)

Classification model selection via bilevel programming. - Gautam Kunapuli; Kristin P. Bennett; Jing Hu; Jong-Shi Pang (Optim. Methods Softw., 2008)

On the Global Solution of Linear Programs with Linear Complementarity Constraints. - Jing Hu; John E. Mitchell 001; Jong-Shi Pang; Kristin P. Bennett; Gautam Kunapuli (SIAM J. Optim., 2008)

Determination of Major Lineages of Mycobacterium tuberculosis Complex Using Mycobacterial Interspersed Repetitive Units. - Minoo Aminian; Amina Shabbeer; Kristin P. Bennett (BIBM, 2009)

Nonsmooth Bilevel Programming for Hyperparameter Selection. - Gregory M. Moore; Charles Bergeron; Kristin P. Bennett (ICDM Workshops, 2009)

Examining the sublineage structure of Mycobacterium tuberculosis complex strains with multiple-biomarker tensors. - Cagri Ozcaglar; Amina Shabbeer; Scott L. Vandenberg; Bülent Yener; Kristin P. Bennett (BIBM, 2010)

Online Knowledge-Based Support Vector Machines. - Gautam Kunapuli; Kristin P. Bennett; Amina Shabbeer; Richard Maclin; Jude W. Shavlik (ECML/PKDD (2), 2010)

A conformal Bayesian network for classification of Mycobacterium tuberculosis complex lineages. - Minoo Aminian; Amina Shabbeer; Kristin P. Bennett (BMC Bioinform., 2010)

Knowledge-based Bayesian network for the classification of Mycobacterium tuberculosis complex sublineages. - Minoo Aminian; Amina Shabbeer; Kane Hadley; Cagri Ozcaglar; Scott L. Vandenberg; Kristin P. Bennett (BCB, 2011)

Visualization of tuberculosis patient and Mycobacterium tuberculosis complex genotype data via host-pathogen maps. - Kristin P. Bennett; Cagri Ozcaglar; Janani Ranganathan; Srivatsan Raghavan; Jacob Katz; Dan Croft; Bülent Yener; Amina Shabbeer (BIBM Workshops, 2011)

Data-Driven Insights into Deletions of Mycobacterium tuberculosis Complex Chromosomal DR Region Using Spoligoforests. - Cagri Ozcaglar; Amina Shabbeer; Natalia Kurepina; Bülent Yener; Kristin P. Bennett (BIBM, 2011)

Preserving proximity relations and minimizing edge-crossings in high dimensional graph visualizations. - Amina Shabbeer; Cagri Ozcaglar; Bülent Yener; Kristin P. Bennett (LDAV, 2011)

Prediction of peptide bonding affinity: kernel methods for nonlinear modeling - Charles Bergeron; Theresa Hepburn; C. Matthew Sundling; Michael P. Krein; William P. Katt; Nagamani Sukumar; Curt M. Breneman; Kristin P. Bennett (CoRR, 2011)

Exploiting Domain Knowledge for Improved Quantitative High-Throughput Screening Curve Fitting. - Charles Bergeron; Gregory M. Moore; Michael P. Krein; Curt M. Breneman; Kristin P. Bennett (J. Chem. Inf. Model., 2011)

RS-Predictor: A New Tool for Predicting Sites of Cytochrome P450-Mediated Metabolism Applied to CYP 3A4. - Jed Zaretzki; Charles Bergeron; Patrik Rydberg; Tao-wei Huang; Kristin P. Bennett; Curt M. Breneman (J. Chem. Inf. Model., 2011)

Model selection for primal SVM. - Gregory M. Moore; Charles Bergeron; Kristin P. Bennett (Mach. Learn., 2011)

RS-Predictor Models Augmented with SMARTCyp Reactivities: Robust Metabolic Regioselectivity Predictions for Nine CYP Isozymes. - Jed Zaretzki; Patrik Rydberg; Charles Bergeron; Kristin P. Bennett; Lars Olsen; Curt M. Breneman (J. Chem. Inf. Model., 2012)

Fast Bundle Algorithm for Multiple-Instance Learning. - Charles Bergeron; Gregory M. Moore; Jed Zaretzki; Curt M. Breneman; Kristin P. Bennett (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Signal Timing Estimation Using Sample Intersection Travel Times. - Peng Hao 001; Xuegang Ban; Kristin P. Bennett; Qiang Ji; Zhanbo Sun (IEEE Trans. Intell. Transp. Syst., 2012)

DR-Predictor: Incorporating Flexible Docking with Specialized Electronic Reactivity and Machine Learning Techniques to Predict CYP-Mediated Sites of Metabolism. - Tao-wei Huang; Jed Zaretzki; Charles Bergeron; Kristin P. Bennett; Curt M. Breneman (J. Chem. Inf. Model., 2013)

Design of the 2015 ChaLearn AutoML challenge. - 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 (IJCNN, 2015)

SemNExT: A Framework for Semantically Integrating and Exploring Numeric Analyses. - Evan W. Patton; Elisabeth Brown; Matthew Poegel; Hannah De Los Santos; Chris Fasano; Kristin P. Bennett; Deborah L. McGuinness (SemStats@ISWC, 2015)

Understanding Emergency Department 72-Hour Revisits Among Medicaid Patients Using Electronic Healthcare Records. - James Ryan; James A. Hendler; Kristin P. Bennett (Big Data, 2015)

Time to Reactivation of Latent Tuberculosis Infection Varies by Lineage. - Nick Thieme; Kristin P. Bennett (BCB, 2016)

Wind turbine fault prediction using soft label SVM. - Rui Zhao 015; Md. Ridwan Al Iqbal; Kristin P. Bennett; Qiang Ji (ICPR, 2016)

Addressing Scientific Rigor in Data Analytics Using Semantic Workflows. - John S. Erickson; John Sheehan; Kristin P. Bennett; Deborah L. McGuinness (IPAW, 2016)

Circadian Rhythms in Neurospora Exhibit Biologically Relevant Driven and Damped Harmonic Oscillations. - Hannah De Los Santos; Emily J. Collins; Jennifer M. Hurley; Kristin P. Bennett (BCB, 2017)

Analysis of imputation bias for feature selection with missing data. - Borja Seijo-Pardo; Amparo Alonso-Betanzos; Kristin P. Bennett; Verónica Bolón-Canedo; Isabelle Guyon; Julie Josse; Mehreen Saeed (ESANN, 2018)

Cadre Modeling: Simultaneously Discovering Subpopulations and Predictive Models. - Alexander New; Curt M. Breneman; Kristin P. Bennett (IJCNN, 2018)

Developing Scientific Knowledge Graphs Using Whyis. - Jamie P. McCusker; Sabbir M. Rashid; Nkechinyere Agu; Kristin P. Bennett; Deborah L. McGuinness (SemSci@ISWC, 2018)

The Whyis Knowledge Graph Framework in Action. - Jamie P. McCusker; Sabbir M. Rashid; Nkechinyere Agu; Kristin P. Bennett; Deborah L. McGuinness (ISWC (P&D/Industry/BlueSky), 2018)

Knowledge Integration for Disease Characterization: A Breast Cancer Example. - Oshani Seneviratne; Sabbir M. Rashid; Shruthi Chari; Jamie P. McCusker; Kristin P. Bennett; James A. Hendler; Deborah L. McGuinness (ISWC (2), 2018)

Ontology-enabled Breast Cancer Characterization. - Oshani Seneviratne; Sabbir M. Rashid; Shruthi Chari; Jamie P. McCusker; Kristin P. Bennett; Jim Hendler; Deborah L. McGuinness (ISWC (P&D/Industry/BlueSky), 2018)

Grey-box Process Control Mining for Anomaly Monitoring and Deconstruction. - Andrés Vargas; Md. Ridwan Al Iqbal; John S. Erickson; Kristin P. Bennett (CoRR, 2018)

Semantically-aware population health risk analyses. - Alexander New; Sabbir M. Rashid; John S. Erickson; Deborah L. McGuinness; Kristin P. Bennett (CoRR, 2018)

Semantically-targeted analytics for reproducible scientific discovery. - Alexander New; Shruthi Chari; Miao Qi; Sabbir M. Rashid; John S. Erickson; Deborah L. McGuinness; Kristin P. Bennett (AIDR, 2019)

Assessing privacy and quality of synthetic health data. - Andrew Yale; Saloni Dash; Ritik Dutta; Isabelle Guyon; Adrien Pavao; Kristin P. Bennett (AIDR, 2019)

ENCORE: A Visualization Tool for Insight into Circadian Omics. - Hannah De Los Santos; Kristin P. Bennett; Jennifer M. Hurley (BCB, 2019)

Artificial Intelligence for Public Health. - Kristin P. Bennett (BIBM, 2019)

Supervised Mixture Models for Population Health. - Xiao Shou; Georgios Mavroudeas; Alexander New; Kofi Arhin; Jason Nicholas Kuruzovich; Malik Magdon-Ismail; Kristin P. Bennett (BIBM, 2019)

Privacy Preserving Synthetic Health Data. - Andrew Yale; Saloni Dash; Ritik Dutta; Isabelle Guyon; Adrien Pavao; Kristin P. Bennett (ESANN, 2019)

Ontology-enabled Analysis of Study Populations. - Shruthi Chari; Miao Qi; Nkechinyere N. Agu; Oshani Seneviratne; Jamie P. McCusker; Kristin P. Bennett; Amar K. Das; Deborah L. McGuinness (ISWC (Satellites), 2019)

Making Study Populations Visible Through Knowledge Graphs. - Shruthi Chari; Miao Qi; Nkechinyere N. Agu; Oshani Seneviratne; Jamie P. McCusker; Kristin P. Bennett; Amar K. Das; Deborah L. McGuinness (ISWC (2), 2019)

Automating Population Health Studies Through Semantics and Statistics. - Alexander New; Miao Qi; Shruthi Chari; Sabbir M. Rashid; Oshani Seneviratne; Jamie P. McCusker; John S. Erickson; Deborah L. McGuinness; Kristin P. Bennett (SAWSemStats@ISWC, 2019)

Synthetic Event Time Series Health Data Generation. - Saloni Dash; Ritik Dutta; Isabelle Guyon; Adrien Pavao; Andrew Yale; Kristin P. Bennett (CoRR, 2019)

Biases in feature selection with missing data. - Borja Seijo-Pardo; Amparo Alonso-Betanzos; Kristin P. Bennett; Verónica Bolón-Canedo; Julie Josse; Mehreen Saeed; Isabelle Guyon (Neurocomputing, 2019)

Medical Time-Series Data Generation Using Generative Adversarial Networks. - Saloni Dash; Andrew Yale; Isabelle Guyon; Kristin P. Bennett (AIME, 2020)

MortalityMinder: A Web Tool for Visualizing and Investigating Social Determinants of Premature Mortality in the United States. - Kristin P. Bennett; Lilian M. Ngweta; Karan Bhanot; John S. Erickson (AMIA, 2020)

Visualizing Inequities in Clinical Trials using ML Fairness Metrics. - Miao Qi; Owen Cahan; Morgan Foreman; Daniel M. Gruen; Amar K. Das; Kristin P. Bennett (AMIA, 2020)

Synthesizing Quality Open Data Assets from Private Health Research Studies. - Andrew Yale; Saloni Dash; Karan Bhanot; Isabelle Guyon; John S. Erickson; Kristin P. Bennett (BIS (Workshops), 2020)

ECHO: an application for detection and analysis of oscillators identifies metabolic regulation on genome-wide circadian output. - Hannah De Los Santos; Emily J. Collins; Catherine Mann; April W. Sagan; Meaghan S. Jankowski; Kristin P. Bennett; Jennifer M. Hurley (Bioinform., 2020)

Generation and evaluation of privacy preserving synthetic health data. - Andrew Yale; Saloni Dash; Ritik Dutta; Isabelle Guyon; Adrien Pavao; Kristin P. Bennett (Neurocomputing, 2020)

A Precision Environment-Wide Association Study of Hypertension via Supervised Cadre Models. - Alexander New; Kristin P. Bennett (IEEE J. Biomed. Health Informatics, 2020)

Planning Equitable Clinical Trial Enrollment using Integer Programming. - Miao Qi; Amar K. Das; Kristin P. Bennett (AMIA, 2021)

Temporal analysis of social determinants associated with COVID-19 mortality. - Shayom Debopadhaya; John S. Erickson; Kristin P. Bennett (BCB, 2021)

Match2: hybrid self-organizing map and deep learning strategies for treatment effect estimation. - Xiao Shou; Tian Gao; Dharmashankar Subramanian; Kristin P. Bennett (BCB, 2021)

Predictive Modeling for Complex Care Management. - Georgios Mavroudeas; Nafis Neehal; Xiao Shou; Malik Magdon-Ismail; Jason Nicholas Kuruzovich; Kristin P. Bennett (BIBM, 2021)

Quantifying Resemblance of Synthetic Medical Time-Series. - Karan Bhanot; Saloni Dash; Joseph Pedersen; Isabelle Guyon; Kristin P. Bennett (ESANN, 2021)

Causal Inference for Event Pairs in Multivariate Point Processes. - Tian Gao; Dharmashankar Subramanian; Debarun Bhattacharjya; Xiao Shou; Nicholas Mattei; Kristin P. Bennett (NeurIPS, 2021)

MOSAIC: a joint modeling methodology for combined circadian and non-circadian analysis of multi-omics data. - Hannah De Los Santos; Kristin P. Bennett; Jennifer M. Hurley (Bioinform., 2021)

The Problem of Fairness in Synthetic Healthcare Data. - Karan Bhanot; Miao Qi; John S. Erickson; Isabelle Guyon; Kristin P. Bennett (Entropy, 2021)

An Ontology for Fairness Metrics. - Jade S. Franklin; Karan Bhanot; Mohamed F. Ghalwash; Kristin P. Bennett; Jamie P. McCusker; Deborah L. McGuinness (AIES, 2022)

Evaluating Fairness of Synthetic Healthcare Data Models. - Karan Bhanot; Ioana Baldini; Dennis Wei; Jiaming Zeng; Kristin P. Bennett (AMIA, 2022)

Subpopulation Analysis in Causal Inference: A Healthcare Case Study. - Georgios Mavroudeas; Nafis Neehal; Jason Nicholas Kuruzovich; Kristin P. Bennett; Malik Magdon-Ismail (BIBM, 2022)

HMM-Boost: Improved Time Series State Prediction Via Supervised Hidden Markov Models: Case Studies in Epileptic Seizure and Complex Care Management. - Georgios Mavroudeas; Malik Magdon-Ismail; Xiao Shou; Kristin P. Bennett (ICDM (Workshops), 2022)

DeFi Survival Analysis: Insights into Risks and User Behaviors. - Aaron M. Green; Christopher Cammilleri; John S. Erickson; Oshani Seneviratne; Kristin P. Bennett (MARBLE, 2022)

Should we tweet this? Generative response modeling for predicting reception of public health messaging on Twitter. - Abraham Sanders; Debjani Ray-Majumder; John S. Erickson; Kristin P. Bennett (WebSci, 2022)

Downstream Fairness Caveats with Synthetic Healthcare Data. - Karan Bhanot; Ioana Baldini; Dennis Wei; Jiaming Zeng; Kristin P. Bennett (CoRR, 2022)

Investigating synthetic medical time-series resemblance. - Karan Bhanot; Joseph Pedersen; Isabelle Guyon; Kristin P. Bennett (Neurocomputing, 2022)

Concurrent Multi-Label Prediction in Event Streams. - Xiao Shou; Tian Gao; Dharmashankar Subramanian; Debarun Bhattacharjya; Kristin P. Bennett (AAAI, 2023)

Stress-Testing Bias Mitigation Algorithms to Understand Fairness Vulnerabilities. - Karan Bhanot; Ioana Baldini; Dennis Wei; Jiaming Zeng; Kristin P. Bennett (AIES, 2023)

Enabling Cross-Language Data Integration and Scalable Analytics in Decentralized Finance. - Conor Flynn; Kristin P. Bennett; John S. Erickson; Aaron M. Green; Oshani Seneviratne (IEEE Big Data, 2023)

Influence-Aware Attention for Multivariate Temporal Point Processes. - Xiao Shou; Tian Gao; Dharmashankar Subramanian; Debarun Bhattacharjya; Kristin P. Bennett (CLeaR, 2023)

Adversarial Auditing of Machine Learning Models under Compound Shift. - Karan Bhanot; Dennis Wei; Ioana Baldini; Kristin P. Bennett (ESANN, 2023)

Towards Machine-Assisted Biomedical Data Preparation: A Use Case on Disparity in Access to Health Care. - Paulo Pinheiro 001; Henrique Santos 002; Miao Qi; Kristin P. Bennett; Deborah L. McGuinness (SeWeBMeDA@ESWC, 2023)

Probabilistic Attention-to-Influence Neural Models for Event Sequences. - Xiao Shou; Debarun Bhattacharjya; Tian Gao; Dharmashankar Subramanian; Oktie Hassanzadeh; Kristin P. Bennett (ICML, 2023)

An Ontology for Reasoning About Fairness in Regression and Machine Learning. - Jade S. Franklin; Hannah Powers; John S. Erickson; Jamie P. McCusker; Deborah L. McGuinness; Kristin P. Bennett (KGSWC, 2023)

Characterizing Common Quarterly Behaviors in DeFi Lending Protocols. - Aaron Green; Michael P. Giannattasio; Keran Wang; John S. Erickson; Oshani Seneviratne; Kristin P. Bennett (MARBLE, 2023)

Pairwise Causality Guided Transformers for Event Sequences. - Xiao Shou; Debarun Bhattacharjya; Tian Gao; Dharmashankar Subramanian; Oktie Hassanzadeh; Kristin P. Bennett (NeurIPS, 2023)

Planning and Monitoring Equitable Clinical Trial Enrollment Using Goal Programming. - Miao Qi; Amar K. Das; Kristin P. Bennett (IEEE J. Biomed. Health Informatics, 2023)

Special Issue: Hierarchical Optimization. - Kristin P. Bennett; Michael C. Ferris; Jong-Shi Pang; Mikhail V. Solodov; Stephen J. Wright 001 (Math. Program., 2023)

Semantically enabling clinical decision support recommendations. - 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 (J. Biomed. Semant., 2023)

Examining Trustworthiness of LLM-as-a-Judge Systems in a Clinical Trial Design Benchmark. - Corey Curran; Nafis Neehal; Keerthiram Murugesan; Kristin P. Bennett (IEEE Big Data, 2024)

LLM - Based Code Generation for Querying Temporal Tabular Financial Data. - Mohamed Lashuel; Gulrukh Kurdistan; Aaron Green; John S. Erickson; Oshani Seneviratne; Kristin P. Bennett (CIFEr, 2024)

Design and Assessment of Representative Hybrid Clinical Trials using Health Recommender System. - Nafis Neehal; Vibha Anand; Kristin P. Bennett (HealthRecSys@RecSys, 2024)

Self-Supervised Contrastive Pre-Training for Multivariate Point Processes. - Xiao Shou; Dharmashankar Subramanian; Debarun Bhattacharjya; Tian Gao; Kristin P. Bennett (CoRR, 2024)

CTBench: A Comprehensive Benchmark for Evaluating Language Model Capabilities in Clinical Trial Design. - Nafis Neehal; Bowen Wang; Shayom Debopadhaya; Soham Dan; Keerthiram Murugesan; Vibha Anand; Kristin P. Bennett (CoRR, 2024)

DeFi Survival Analysis: Insights Into the Emerging Decentralized Financial Ecosystem. - Aaron M. Green; Michael P. Giannattasio; John S. Erickson; Oshani Seneviratne; Kristin P. Bennett (Distributed Ledger Technol. Res. Pract., 2024)

MortalityMinder: Visualization and AI Interpretations of Social Determinants of Premature Mortality in the United States. - Karan Bhanot; John S. Erickson; Kristin P. Bennett (Inf., 2024)

Are Large Language Models Effective in Clinical Trial Design? A Study on Baseline Feature Generation. - Nafis Neehal; Bowen Wang; Shayom Debopadhaya; Corey Curran; Keerthiram Murugesan; Soham Dan; Vibha Anand; Kristin P. Bennett (NAACL (Findings), 2025)

Consistent Causal Inference of Group Effects in Non-Targeted Trials with Finitely Many Effect Levels. - Georgios Mavroudeas; Malik Magdon-Ismail; Kristin P. Bennett; Jason Kuruzovich (CoRR, 2025)

FinSurvival: A Suite of Large Scale Survival Modeling Tasks from Finance. - Aaron M. Green; Zihan Nie; Hanzhen Qin; Oshani Seneviratne; Kristin P. Bennett (CoRR, 2025)