Kristin P. Bennett

143 papers A* 15A 1B 13C 3Misc 4Journal 57Unranked 49

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Benchmarking Temporal Web3 Intelligence: Lessons from the FinSurvival 2025 Challenge. CoRR Oshani Seneviratne, Fernando Spadea, Adrien Pavao, Aaron Micah Green, Kristin P. Bennett
2026	J	`jnl`	FinSurvival: A Suite of Large Scale Survival Modeling Tasks from Finance. J. Data-centric Mach. Learn. Res. Aaron Green, Zihan Nie, Hanzhen Qin, Oshani Seneviratne, Kristin P. Bennett
2025	—	`conf`	Are Large Language Models Effective in Clinical Trial Design? A Study on Baseline Feature Generation. NAACL (Findings) Nafis Neehal, Bowen Wang, Shayom Debopadhaya, Corey Curran, Keerthiram Murugesan, Soham Dan, Vibha Anand, Kristin P. Bennett
2025	—	`conf`	CTSuggest: An LLM-powered Open Source Application to support Clinical Trial Design by Suggesting Baseline Features. BCB Soumeek Mishra, Corey Curran, Tianyan Lin, John S. Erickson, Kristin P. Bennett
2025	J	`jnl`	Consistent Causal Inference of Group Effects in Non-Targeted Trials with Finitely Many Effect Levels. CoRR Georgios Mavroudeas, Malik Magdon-Ismail, Kristin P. Bennett, Jason Kuruzovich
2025	J	`jnl`	FinSurvival: A Suite of Large Scale Survival Modeling Tasks from Finance. CoRR Aaron Green, Zihan Nie, Hanzhen Qin, Oshani Seneviratne, Kristin P. Bennett
2024	—	`conf`	Better Bias Benchmarking of Language Models via Multi-factor Analysis. AFME Hannah Powers, Ioana Baldini, Dennis Wei, Kristin P. Bennett
2024	J	`jnl`	CTBench: A Comprehensive Benchmark for Evaluating Language Model Capabilities in Clinical Trial Design. CoRR Nafis Neehal, Bowen Wang, Shayom Debopadhaya, Soham Dan, Keerthiram Murugesan, Vibha Anand, Kristin P. Bennett
2024	J	`jnl`	DeFi Survival Analysis: Insights Into the Emerging Decentralized Financial Ecosystem. Distributed Ledger Technol. Res. Pract. Aaron Micah Green, Michael P. Giannattasio, John S. Erickson, Oshani Seneviratne, Kristin P. Bennett
2024	—	`conf`	Design and Assessment of Representative Hybrid Clinical Trials using Health Recommender System. HealthRecSys@RecSys Nafis Neehal, Vibha Anand, Kristin P. Bennett
2024	B	`conf`	Examining Trustworthiness of LLM-as-a-Judge Systems in a Clinical Trial Design Benchmark. IEEE Big Data Corey Curran, Nafis Neehal, Keerthiram Murugesan, Kristin P. Bennett
2024	—	`conf`	LLM - Based Code Generation for Querying Temporal Tabular Financial Data. CIFEr Mohamed Lashuel, Gulrukh Kurdistan, Aaron Green, John S. Erickson, Oshani Seneviratne, Kristin P. Bennett
2024	J	`jnl`	MortalityMinder: Visualization and AI Interpretations of Social Determinants of Premature Mortality in the United States. Inf. Karan Bhanot, John S. Erickson, Kristin P. Bennett
2024	J	`jnl`	Self-Supervised Contrastive Pre-Training for Multivariate Point Processes. CoRR Xiao Shou, Dharmashankar Subramanian, Debarun Bhattacharjya, Tian Gao, Kristin P. Bennett
2023	B	`conf`	Adversarial Auditing of Machine Learning Models under Compound Shift. ESANN Karan Bhanot, Dennis Wei, Ioana Baldini, Kristin P. Bennett
2023	—	`conf`	An Ontology for Reasoning About Fairness in Regression and Machine Learning. KGSWC Jade S. Franklin, Hannah Powers, John S. Erickson, Jamie P. McCusker, Deborah L. McGuinness, Kristin P. Bennett
2023	—	`conf`	Characterizing Common Quarterly Behaviors in DeFi Lending Protocols. MARBLE Aaron Green, Michael P. Giannattasio, Keran Wang, John S. Erickson, Oshani Seneviratne, Kristin P. Bennett
2023	A*	`conf`	Concurrent Multi-Label Prediction in Event Streams. AAAI Xiao Shou, Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Kristin P. Bennett
2023	B	`conf`	Enabling Cross-Language Data Integration and Scalable Analytics in Decentralized Finance. IEEE Big Data Conor Flynn, Kristin P. Bennett, John S. Erickson, Aaron Green, Oshani Seneviratne
2023	J	`jnl`	Enabling Cross-Language Data Integration and Scalable Analytics in Decentralized Finance. CoRR Conor Flynn, Kristin P. Bennett, John S. Erickson, Aaron Green, Oshani Seneviratne
2023	—	`conf`	Influence-Aware Attention for Multivariate Temporal Point Processes. CLeaR Xiao Shou, Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Kristin P. Bennett
2023	A*	`conf`	Pairwise Causality Guided Transformers for Event Sequences. NeurIPS Xiao Shou, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Oktie Hassanzadeh, Kristin P. Bennett
2023	J	`jnl`	Planning and Monitoring Equitable Clinical Trial Enrollment Using Goal Programming. IEEE J. Biomed. Health Informatics Miao Qi, Amar K. Das, Kristin P. Bennett
2023	A*	`conf`	Probabilistic Attention-to-Influence Neural Models for Event Sequences. ICML Xiao Shou, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Oktie Hassanzadeh, Kristin P. Bennett
2023	J	`jnl`	Semantically enabling clinical decision support recommendations. J. Biomed. Semant. 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
2023	J	`jnl`	Special Issue: Hierarchical Optimization. Math. Program. Kristin P. Bennett, Michael C. Ferris, Jong-Shi Pang, Mikhail V. Solodov, Stephen J. Wright
2023	C	`conf`	Stress-Testing Bias Mitigation Algorithms to Understand Fairness Vulnerabilities. AIES Karan Bhanot, Ioana Baldini, Dennis Wei, Jiaming Zeng, Kristin P. Bennett
2023	—	`conf`	Towards Machine-Assisted Biomedical Data Preparation: A Use Case on Disparity in Access to Health Care. SeWeBMeDA@ESWC Paulo Pinheiro, Henrique Santos, Miao Qi, Kristin P. Bennett, Deborah L. McGuinness
2022	C	`conf`	An Ontology for Fairness Metrics. AIES Jade S. Franklin, Karan Bhanot, Mohamed F. Ghalwash, Kristin P. Bennett, Jamie P. McCusker, Deborah L. McGuinness
2022	—	`conf`	DeFi Survival Analysis: Insights into Risks and User Behaviors. MARBLE Aaron Green, Christopher Cammilleri, John S. Erickson, Oshani Seneviratne, Kristin P. Bennett
2022	J	`jnl`	Downstream Fairness Caveats with Synthetic Healthcare Data. CoRR Karan Bhanot, Ioana Baldini, Dennis Wei, Jiaming Zeng, Kristin P. Bennett
2022	Misc	`conf`	Evaluating Fairness of Synthetic Healthcare Data Models. AMIA Karan Bhanot, Ioana Baldini, Dennis Wei, Jiaming Zeng, Kristin P. Bennett
2022	—	`conf`	HMM-Boost: Improved Time Series State Prediction Via Supervised Hidden Markov Models: Case Studies in Epileptic Seizure and Complex Care Management. ICKG Georgios Mavroudeas, Malik Magdon-Ismail, Xiao Shou, Kristin P. Bennett
2022	—	`conf`	HMM-Boost: Improved Time Series State Prediction Via Supervised Hidden Markov Models: Case Studies in Epileptic Seizure and Complex Care Management. ICDM (Workshops) Georgios Mavroudeas, Malik Magdon-Ismail, Xiao Shou, Kristin P. Bennett
2022	J	`jnl`	Investigating synthetic medical time-series resemblance. Neurocomputing Karan Bhanot, Joseph Pedersen, Isabelle Guyon, Kristin P. Bennett
2022	—	`conf`	Should we tweet this? Generative response modeling for predicting reception of public health messaging on Twitter. WebSci Abraham Sanders, Debjani Ray-Majumder, John S. Erickson, Kristin P. Bennett
2022	J	`jnl`	Should we tweet this? Generative response modeling for predicting reception of public health messaging on Twitter. CoRR Abraham Sanders, Debjani Ray-Majumder, John S. Erickson, Kristin P. Bennett
2022	—	`conf`	Subpopulation Analysis in Causal Inference: A Healthcare Case Study. BIBM Georgios Mavroudeas, Nafis Neehal, Jason Nicholas Kuruzovich, Kristin P. Bennett, Malik Magdon-Ismail
2021	A*	`conf`	Causal Inference for Event Pairs in Multivariate Point Processes. NeurIPS Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Xiao Shou, Nicholas Mattei, Kristin P. Bennett
2021	J	`jnl`	MOSAIC: a joint modeling methodology for combined circadian and non-circadian analysis of multi-omics data. Bioinform. Hannah De Los Santos, Kristin P. Bennett, Jennifer M. Hurley
2021	—	`conf`	Match2: hybrid self-organizing map and deep learning strategies for treatment effect estimation. BCB Xiao Shou, Tian Gao, Dharmashankar Subramanian, Kristin P. Bennett
2021	Misc	`conf`	Planning Equitable Clinical Trial Enrollment using Integer Programming. AMIA Miao Qi, Amar K. Das, Kristin P. Bennett
2021	—	`conf`	Predictive Modeling for Complex Care Management. BIBM Georgios Mavroudeas, Nafis Neehal, Xiao Shou, Malik Magdon-Ismail, Jason Nicholas Kuruzovich, Kristin P. Bennett
2021	B	`conf`	Quantifying Resemblance of Synthetic Medical Time-Series. ESANN Karan Bhanot, Saloni Dash, Joseph Pedersen, Isabelle Guyon, Kristin P. Bennett
2021	—	`conf`	Temporal analysis of social determinants associated with COVID-19 mortality. BCB Shayom Debopadhaya, John S. Erickson, Kristin P. Bennett
2021	J	`jnl`	The Problem of Fairness in Synthetic Healthcare Data. Entropy Karan Bhanot, Miao Qi, John S. Erickson, Isabelle Guyon, Kristin P. Bennett
2020	J	`jnl`	A Precision Environment-Wide Association Study of Hypertension via Supervised Cadre Models. IEEE J. Biomed. Health Informatics Alexander New, Kristin P. Bennett
2020	J	`jnl`	ECHO: an application for detection and analysis of oscillators identifies metabolic regulation on genome-wide circadian output. Bioinform. Hannah De Los Santos, Emily J. Collins, Catherine Mann, April W. Sagan, Meaghan S. Jankowski, Kristin P. Bennett, Jennifer M. Hurley
2020	J	`jnl`	Generation and evaluation of privacy preserving synthetic health data. Neurocomputing Andrew Yale, Saloni Dash, Ritik Dutta, Isabelle Guyon, Adrien Pavao, Kristin P. Bennett
2020	B	`conf`	Medical Time-Series Data Generation Using Generative Adversarial Networks. AIME Saloni Dash, Andrew Yale, Isabelle Guyon, Kristin P. Bennett
2020	Misc	`conf`	MortalityMinder: A Web Tool for Visualizing and Investigating Social Determinants of Premature Mortality in the United States. AMIA Kristin P. Bennett, Lilian M. Ngweta, Karan Bhanot, John S. Erickson
2020	—	`conf`	Synthesizing Quality Open Data Assets from Private Health Research Studies. BIS (Workshops) Andrew Yale, Saloni Dash, Karan Bhanot, Isabelle Guyon, John S. Erickson, Kristin P. Bennett
2020	Misc	`conf`	Visualizing Inequities in Clinical Trials using ML Fairness Metrics. AMIA Miao Qi, Owen Cahan, Morgan Foreman, Daniel M. Gruen, Amar K. Das, Kristin P. Bennett
2019	—	`conf`	Artificial Intelligence for Public Health. BIBM Kristin P. Bennett
2019	—	`conf`	Assessing privacy and quality of synthetic health data. AIDR Andrew Yale, Saloni Dash, Ritik Dutta, Isabelle Guyon, Adrien Pavao, Kristin P. Bennett
2019	—	`conf`	Automating Population Health Studies Through Semantics and Statistics. SAWSemStats@ISWC Alexander New, Miao Qi, Shruthi Chari, Sabbir M. Rashid, Oshani Seneviratne, Jamie P. McCusker, John S. Erickson, Deborah L. McGuinness, Kristin P. Bennett
2019	J	`jnl`	Biases in feature selection with missing data. Neurocomputing Borja Seijo-Pardo, Amparo Alonso-Betanzos, Kristin P. Bennett, Verónica Bolón-Canedo, Julie Josse, Mehreen Saeed, Isabelle Guyon
2019	—	`conf`	ENCORE: A Visualization Tool for Insight into Circadian Omics. BCB Hannah De Los Santos, Kristin P. Bennett, Jennifer M. Hurley
2019	—	`conf`	Making Study Populations Visible Through Knowledge Graphs. ISWC (2) Shruthi Chari, Miao Qi, Nkechinyere N. Agu, Oshani Seneviratne, Jamie P. McCusker, Kristin P. Bennett, Amar K. Das, Deborah L. McGuinness
2019	J	`jnl`	Making Study Populations Visible through Knowledge Graphs. CoRR Shruthi Chari, Miao Qi, Nkechinyere N. Agu, Oshani Seneviratne, Jamie P. McCusker, Kristin P. Bennett, Amar K. Das, Deborah L. McGuinness
2019	—	`conf`	Ontology-enabled Analysis of Study Populations. ISWC (Satellites) Shruthi Chari, Miao Qi, Nkechinyere N. Agu, Oshani Seneviratne, Jamie P. McCusker, Kristin P. Bennett, Amar K. Das, Deborah L. McGuinness
2019	B	`conf`	Privacy Preserving Synthetic Health Data. ESANN Andrew Yale, Saloni Dash, Ritik Dutta, Isabelle Guyon, Adrien Pavao, Kristin P. Bennett
2019	—	`conf`	Semantically-targeted analytics for reproducible scientific discovery. AIDR Alexander New, Shruthi Chari, Miao Qi, Sabbir M. Rashid, John S. Erickson, Deborah L. McGuinness, Kristin P. Bennett
2019	—	`conf`	Supervised Mixture Models for Population Health. BIBM Xiao Shou, Georgios Mavroudeas, Alexander New, Kofi Arhin, Jason Nicholas Kuruzovich, Malik Magdon-Ismail, Kristin P. Bennett
2019	J	`jnl`	Synthetic Event Time Series Health Data Generation. CoRR Saloni Dash, Ritik Dutta, Isabelle Guyon, Adrien Pavao, Andrew Yale, Kristin P. Bennett
2018	J	`jnl`	A Precision Environment-Wide Association Study of Hypertension via Supervised Cadre Models. CoRR Alexander New, Kristin P. Bennett
2018	B	`conf`	Analysis of imputation bias for feature selection with missing data. ESANN Borja Seijo-Pardo, Amparo Alonso-Betanzos, Kristin P. Bennett, Verónica Bolón-Canedo, Isabelle Guyon, Julie Josse, Mehreen Saeed
2018	B	`conf`	Cadre Modeling: Simultaneously Discovering Subpopulations and Predictive Models. IJCNN Alexander New, Curt M. Breneman, Kristin P. Bennett
2018	J	`jnl`	Cadre Modeling: Simultaneously Discovering Subpopulations and Predictive Models. CoRR Alexander New, Curt M. Breneman, Kristin P. Bennett
2018	—	`conf`	Developing Scientific Knowledge Graphs Using Whyis. SemSci@ISWC Jamie P. McCusker, Sabbir M. Rashid, Nkechinyere Agu, Kristin P. Bennett, Deborah L. McGuinness
2018	J	`jnl`	Grey-box Process Control Mining for Anomaly Monitoring and Deconstruction. CoRR Andrés Vargas, Md. Ridwan Al Iqbal, John S. Erickson, Kristin P. Bennett
2018	—	`conf`	Knowledge Integration for Disease Characterization: A Breast Cancer Example. ISWC (2) Oshani Seneviratne, Sabbir M. Rashid, Shruthi Chari, Jamie P. McCusker, Kristin P. Bennett, James A. Hendler, Deborah L. McGuinness
2018	J	`jnl`	Knowledge Integration for Disease Characterization: A Breast Cancer Example. CoRR Oshani Seneviratne, Sabbir M. Rashid, Shruthi Chari, Jamie P. McCusker, Kristin P. Bennett, James A. Hendler, Deborah L. McGuinness
2018	—	`conf`	Ontology-enabled Breast Cancer Characterization. ISWC (P&D/Industry/BlueSky) Oshani Seneviratne, Sabbir M. Rashid, Shruthi Chari, Jamie P. McCusker, Kristin P. Bennett, Jim Hendler, Deborah L. McGuinness
2018	J	`jnl`	Semantically-aware population health risk analyses. CoRR Alexander New, Sabbir M. Rashid, John S. Erickson, Deborah L. McGuinness, Kristin P. Bennett
2018	—	`conf`	The Whyis Knowledge Graph Framework in Action. ISWC (P&D/Industry/BlueSky) Jamie P. McCusker, Sabbir M. Rashid, Nkechinyere Agu, Kristin P. Bennett, Deborah L. McGuinness
2017	—	`conf`	Circadian Rhythms in BCB Hannah De Los Santos, Emily J. Collins, Jennifer M. Hurley, Kristin P. Bennett
2016	—	`conf`	Addressing Scientific Rigor in Data Analytics Using Semantic Workflows. IPAW John S. Erickson, John Sheehan, Kristin P. Bennett, Deborah L. McGuinness
2016	—	`conf`	Time to Reactivation of Latent Tuberculosis Infection Varies by Lineage. BCB Nick Thieme, Kristin P. Bennett
2016	B	`conf`	Wind turbine fault prediction using soft label SVM. ICPR Rui Zhao, Md. Ridwan Al Iqbal, Kristin P. Bennett, Qiang Ji
2015	B	`conf`	Design of the 2015 ChaLearn AutoML challenge. IJCNN 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
2015	—	`conf`	SemNExT: A Framework for Semantically Integrating and Exploring Numeric Analyses. SemStats@ISWC Evan W. Patton, Elisabeth Brown, Matthew Poegel, Hannah De Los Santos, Chris Fasano, Kristin P. Bennett, Deborah L. McGuinness
2015	J	`jnl`	Understanding Emergency Department 72-Hour Revisits Among Medicaid Patients Using Electronic Healthcare Records. Big Data James Ryan, James A. Hendler, Kristin P. Bennett
2013	J	`jnl`	DR-Predictor: Incorporating Flexible Docking with Specialized Electronic Reactivity and Machine Learning Techniques to Predict CYP-Mediated Sites of Metabolism. J. Chem. Inf. Model. Tao-wei Huang, Jed Zaretzki, Charles Bergeron, Kristin P. Bennett, Curt M. Breneman
2012	J	`jnl`	Fast Bundle Algorithm for Multiple-Instance Learning. IEEE Trans. Pattern Anal. Mach. Intell. Charles Bergeron, Gregory M. Moore, Jed Zaretzki, Curt M. Breneman, Kristin P. Bennett
2012	J	`jnl`	RS-Predictor Models Augmented with SMARTCyp Reactivities: Robust Metabolic Regioselectivity Predictions for Nine CYP Isozymes. J. Chem. Inf. Model. Jed Zaretzki, Patrik Rydberg, Charles Bergeron, Kristin P. Bennett, Lars Olsen, Curt M. Breneman
2012	J	`jnl`	Signal Timing Estimation Using Sample Intersection Travel Times. IEEE Trans. Intell. Transp. Syst. Peng Hao, Xuegang Ban, Kristin P. Bennett, Qiang Ji, Zhanbo Sun
2011	—	`conf`	Data-Driven Insights into Deletions of Mycobacterium tuberculosis Complex Chromosomal DR Region Using Spoligoforests. BIBM Cagri Ozcaglar, Amina Shabbeer, Natalia Kurepina, Bülent Yener, Kristin P. Bennett
2011	J	`jnl`	Exploiting Domain Knowledge for Improved Quantitative High-Throughput Screening Curve Fitting. J. Chem. Inf. Model. Charles Bergeron, Gregory M. Moore, Michael P. Krein, Curt M. Breneman, Kristin P. Bennett
2011	—	`conf`	Knowledge-based Bayesian network for the classification of BCB Minoo Aminian, Amina Shabbeer, Kane Hadley, Cagri Ozcaglar, Scott L. Vandenberg, Kristin P. Bennett
2011	J	`jnl`	Model selection for primal SVM. Mach. Learn. Gregory M. Moore, Charles Bergeron, Kristin P. Bennett
2011	J	`jnl`	Prediction of peptide bonding affinity: kernel methods for nonlinear modeling CoRR Charles Bergeron, Theresa Hepburn, C. Matthew Sundling, Michael P. Krein, William P. Katt, Nagamani Sukumar, Curt M. Breneman, Kristin P. Bennett
2011	—	`conf`	Preserving proximity relations and minimizing edge-crossings in high dimensional graph visualizations. LDAV Amina Shabbeer, Cagri Ozcaglar, Bülent Yener, Kristin P. Bennett
2011	J	`jnl`	RS-Predictor: A New Tool for Predicting Sites of Cytochrome P450-Mediated Metabolism Applied to CYP 3A4. J. Chem. Inf. Model. Jed Zaretzki, Charles Bergeron, Patrik Rydberg, Tao-wei Huang, Kristin P. Bennett, Curt M. Breneman
2011	—	`conf`	Visualization of tuberculosis patient and Mycobacterium tuberculosis complex genotype data via host-pathogen maps. BIBM Workshops Kristin P. Bennett, Cagri Ozcaglar, Janani Ranganathan, Srivatsan Raghavan, Jacob Katz, Dan Croft, Bülent Yener, Amina Shabbeer
2010	J	`jnl`	A conformal Bayesian network for classification of BMC Bioinform. Minoo Aminian, Amina Shabbeer, Kristin P. Bennett
2010	—	`conf`	Examining the sublineage structure of Mycobacterium tuberculosis complex strains with multiple-biomarker tensors. BIBM Cagri Ozcaglar, Amina Shabbeer, Scott L. Vandenberg, Bülent Yener, Kristin P. Bennett
2010	—	`conf`	Online Knowledge-Based Support Vector Machines. ECML/PKDD (2) Gautam Kunapuli, Kristin P. Bennett, Amina Shabbeer, Richard Maclin, Jude W. Shavlik
2009	—	`conf`	Determination of Major Lineages of Mycobacterium tuberculosis Complex Using Mycobacterial Interspersed Repetitive Units. BIBM Minoo Aminian, Amina Shabbeer, Kristin P. Bennett
2009	—	`conf`	Nonsmooth Bilevel Programming for Hyperparameter Selection. ICDM Workshops Gregory M. Moore, Charles Bergeron, Kristin P. Bennett
2008	—	`conf`	Bilevel Optimization and Machine Learning. WCCI Kristin P. Bennett, Gautam Kunapuli, Jing Hu, Jong-Shi Pang
2008	J	`jnl`	Classification model selection via bilevel programming. Optim. Methods Softw. Gautam Kunapuli, Kristin P. Bennett, Jing Hu, Jong-Shi Pang
2008	J	`jnl`	Guest editor's introduction: special issue on inductive transfer learning. Mach. Learn. Daniel L. Silver, Kristin P. Bennett
2008	A*	`conf`	Multiple instance ranking. ICML Charles Bergeron, Jed Zaretzki, Curt M. Breneman, Kristin P. Bennett
2008	J	`jnl`	Multiway modeling and analysis in stem cell systems biology. BMC Syst. Biol. Bülent Yener, Evrim Acar, Phaedra Agius, Kristin P. Bennett, Scott L. Vandenberg, George E. Plopper
2008	J	`jnl`	On the Global Solution of Linear Programs with Linear Complementarity Constraints. SIAM J. Optim. Jing Hu, John E. Mitchell, Jong-Shi Pang, Kristin P. Bennett, Gautam Kunapuli
2007	J	`jnl`	Introduction to special issue ACM SIGKDD 2006. ACM Trans. Knowl. Discov. Data Roberto J. Bayardo, Kristin P. Bennett, Gautam Das, Dimitrios Gunopulos, Johannes Gunopulos
2007	J	`jnl`	Typing Staphylococcus aureus Using the spa Gene and Novel Distance Measures. IEEE ACM Trans. Comput. Biol. Bioinform. Phaedra Agius, Barry Kreiswirth, Steve Naidich, Kristin P. Bennett
2006	—	`ch.`	Constructing Orthogonal Latent Features for Arbitrary Loss. Feature Extraction Michinari Momma, Kristin P. Bennett
2006	B	`conf`	Model Selection via Bilevel Optimization. IJCNN Kristin P. Bennett, Jing Hu, Xiaoyun Ji, Gautam Kunapuli, Jong-Shi Pang
2006	—	`conf`	Nonlinear Eye Gaze Mapping Function Estimation via Support Vector Regression. ICPR (1) Zhiwei Zhu, Qiang Ji, Kristin P. Bennett
2006	J	`jnl`	The Interplay of Optimization and Machine Learning Research. J. Mach. Learn. Res. Kristin P. Bennett, Emilio Parrado-Hernández
2005	—	`conf`	Kernelized set-membership approach to nonlinear adaptive filtering. ICASSP (4) Amaresh V. Malipatil, Yih-Fang Huang, Srinivas Andra, Kristin P. Bennett
2005	A*	`ed.`	Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Chicago, Illinois, USA, August 21-24, 2005 KDD Robert Grossman, Roberto J. Bayardo, Kristin P. Bennett
2005	B	`conf`	Support Vector Machines and Other Kernel Methods. FUZZ-IEEE Kristin P. Bennett
2004	A*	`conf`	Column-generation boosting methods for mixture of kernels. KDD Jinbo Bi, Tong Zhang, Kristin P. Bennett
2004	C	`conf`	Decision-tree learning in dwell point policies in autonomous vehicle storage and retrieval systems (AVSRS). ICMLA Miki Fukunari, Kristin P. Bennett, Charles J. Malmborg
2003	J	`jnl`	A geometric approach to support vector regression. Neurocomputing Jinbo Bi, Kristin P. Bennett
2003	J	`jnl`	Dimensionality Reduction via Sparse Support Vector Machines. J. Mach. Learn. Res. Jinbo Bi, Kristin P. Bennett, Mark J. Embrechts, Curt M. Breneman, Minghu Song
2003	A*	`conf`	Regression Error Characteristic Curves. ICML Jinbo Bi, Kristin P. Bennett
2003	A*	`conf`	Sparse Kernel Partial Least Squares Regression. COLT Michinari Momma, Kristin P. Bennett
2002	A	`conf`	A Pattern Search Method for Model Selection of Support Vector Regression. SDM Michinari Momma, Kristin P. Bennett
2002	A*	`conf`	Exploiting unlabeled data in ensemble methods. KDD Kristin P. Bennett, Ayhan Demiriz, Richard Maclin
2002	J	`jnl`	Linear Programming Boosting via Column Generation. Mach. Learn. Ayhan Demiriz, Kristin P. Bennett, John Shawe-Taylor
2002	A*	`conf`	MARK: a boosting algorithm for heterogeneous kernel models. KDD Kristin P. Bennett, Michinari Momma, Mark J. Embrechts
2002	J	`jnl`	Prediction of Protein Retention Times in Anion-Exchange Chromatography Systems Using Support Vector Regression. J. Chem. Inf. Comput. Sci. Minghu Song, Curt M. Breneman, Jinbo Bi, Nagamani Sukumar, Kristin P. Bennett, Steven M. Cramer, Nihal Tugcu
2002	J	`jnl`	Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces. Mach. Learn. Gunnar Rätsch, Ayhan Demiriz, Kristin P. Bennett
2001	—	`conf`	Duality, Geometry, and Support Vector Regression. NIPS Jinbo Bi, Kristin P. Bennett
2000	A*	`conf`	A Column Generation Algorithm For Boosting. ICML Kristin P. Bennett, Ayhan Demiriz, John Shawe-Taylor
2000	—	`conf`	A Linear Programming Approach to Novelty Detection. NIPS Colin Campbell, Kristin P. Bennett
2000	A*	`conf`	Duality and Geometry in SVM Classifiers. ICML Kristin P. Bennett, Erin J. Bredensteiner
2000	J	`jnl`	Enlarging the Margins in Perceptron Decision Trees. Mach. Learn. Kristin P. Bennett, Nello Cristianini, John Shawe-Taylor, Donghui Wu
2000	J	`jnl`	Support Vector Machines: Hype or Hallelujah? SIGKDD Explor. Kristin P. Bennett, Colin Campbell
1999	A*	`conf`	Density-Based Indexing for Approximate Nearest-Neighbor Queries. KDD Kristin P. Bennett, Usama M. Fayyad, Dan Geiger
1999	A*	`conf`	Large Margin Trees for Induction and Transduction. ICML Donghui Wu, Kristin P. Bennett, Nello Cristianini, John Shawe-Taylor
1999	J	`jnl`	Multicategory Classification by Support Vector Machines. Comput. Optim. Appl. Erin J. Bredensteiner, Kristin P. Bennett
1999	B	`conf`	On support vector decision trees for database marketing. IJCNN Kristin P. Bennett, Donghui Wu, Leonardo Auslender
1998	J	`jnl`	Hybrid extreme point tabu search. Eur. J. Oper. Res. Jennifer A. Blue, Kristin P. Bennett
1998	—	`conf`	Semi-Supervised Support Vector Machines. NIPS Kristin P. Bennett, Ayhan Demiriz
1997	J	`jnl`	A Parametric Optimization Method for Machine Learning. INFORMS J. Comput. Kristin P. Bennett, Erin J. Bredensteiner
1994	J	`jnl`	Serial and Parallel Multicategory Discrimination. SIAM J. Optim. Kristin P. Bennett, Olvi L. Mangasarian
1993	J	`jnl`	Bilinear separation of two sets in Comput. Optim. Appl. Kristin P. Bennett, O. L. Mangasarian
1991	—	`conf`	A Genetic Algorithm for Database Query Optimization. ICGA Kristin P. Bennett, Michael C. Ferris, Yannis E. Ioannidis