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Publications
- 2024
[j40]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): 4:1-4:23 (2024)- [j39]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): 254 (2024) - [i13]Xiao Shou, Dharmashankar Subramanian, Debarun Bhattacharjya, Tian Gao, Kristin P. Bennett:
Self-Supervised Contrastive Pre-Training for Multivariate Point Processes. CoRR abs/2402.00987 (2024) - [i12]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 abs/2406.17888 (2024) - 2023
- [j38]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): 8 (2023) - [j37]Kristin P. Bennett, Michael C. Ferris, Jong-Shi Pang, Mikhail V. Solodov, Stephen J. Wright:
Special Issue: Hierarchical Optimization. Math. Program. 198(2): 1121-1123 (2023) - [j36]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): 1084-1095 (2023) - [c78]Xiao Shou, Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Kristin P. Bennett:
Concurrent Multi-Label Prediction in Event Streams. AAAI 2023: 9820-9828 - [c77]Karan Bhanot, Ioana Baldini, Dennis Wei, Jiaming Zeng, Kristin P. Bennett:
Stress-Testing Bias Mitigation Algorithms to Understand Fairness Vulnerabilities. AIES 2023: 764-774 - [c76]Conor Flynn, Kristin P. Bennett, John S. Erickson, Aaron M. Green, Oshani Seneviratne:
Enabling Cross-Language Data Integration and Scalable Analytics in Decentralized Finance. IEEE Big Data 2023: 4290-4299 - [c75]Xiao Shou, Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Kristin P. Bennett:
Influence-Aware Attention for Multivariate Temporal Point Processes. CLeaR 2023: 499-517 - [c74]Karan Bhanot, Dennis Wei, Ioana Baldini, Kristin P. Bennett:
Adversarial Auditing of Machine Learning Models under Compound Shift. ESANN 2023 - [c73]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 - [c72]Xiao Shou, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Oktie Hassanzadeh, Kristin P. Bennett:
Probabilistic Attention-to-Influence Neural Models for Event Sequences. ICML 2023: 31657-31674 - [c71]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: 243-261 - [c70]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: 62-77 - [c69]Xiao Shou, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Oktie Hassanzadeh, Kristin P. Bennett:
Pairwise Causality Guided Transformers for Event Sequences. NeurIPS 2023 - [i11]Conor Flynn, Kristin P. Bennett, John S. Erickson, Aaron M. Green, Oshani Seneviratne:
Enabling Cross-Language Data Integration and Scalable Analytics in Decentralized Finance. CoRR abs/2311.02272 (2023) - 2022
- [j35]Karan Bhanot, Joseph Pedersen, Isabelle Guyon, Kristin P. Bennett:
Investigating synthetic medical time-series resemblance. Neurocomputing 494: 368-378 (2022) - [c68]Jade S. Franklin, Karan Bhanot, Mohamed F. Ghalwash, Kristin P. Bennett, Jamie P. McCusker, Deborah L. McGuinness:
An Ontology for Fairness Metrics. AIES 2022: 265-275 - [c67]Karan Bhanot, Ioana Baldini, Dennis Wei, Jiaming Zeng, Kristin P. Bennett:
Evaluating Fairness of Synthetic Healthcare Data Models. AMIA 2022 - [c66]Georgios Mavroudeas, Nafis Neehal, Jason Nicholas Kuruzovich, Kristin P. Bennett, Malik Magdon-Ismail:
Subpopulation Analysis in Causal Inference: A Healthcare Case Study. BIBM 2022: 1673-1676 - [c65]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: 180-187 - [c64]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: 316-323 - [c63]Aaron M. Green, Christopher Cammilleri, John S. Erickson, Oshani Seneviratne, Kristin P. Bennett:
DeFi Survival Analysis: Insights into Risks and User Behaviors. MARBLE 2022: 127-141 - [c62]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: 307-318 - [i10]Karan Bhanot, Ioana Baldini, Dennis Wei, Jiaming Zeng, Kristin P. Bennett:
Downstream Fairness Caveats with Synthetic Healthcare Data. CoRR abs/2203.04462 (2022) - [i9]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 abs/2204.04353 (2022) - 2021
- [j34]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): 767-774 (2021) - [j33]Karan Bhanot, Miao Qi, John S. Erickson, Isabelle Guyon, Kristin P. Bennett:
The Problem of Fairness in Synthetic Healthcare Data. Entropy 23(9): 1165 (2021) - [c61]Miao Qi, Amar K. Das, Kristin P. Bennett:
Planning Equitable Clinical Trial Enrollment using Integer Programming. AMIA 2021 - [c60]Shayom Debopadhaya, John S. Erickson, Kristin P. Bennett:
Temporal analysis of social determinants associated with COVID-19 mortality. BCB 2021: 41:1-41:10 - [c59]Xiao Shou, Tian Gao, Dharmashankar Subramanian, Kristin P. Bennett:
Match2: hybrid self-organizing map and deep learning strategies for treatment effect estimation. BCB 2021: 46:1-46:10 - [c58]Georgios Mavroudeas, Nafis Neehal, Xiao Shou, Malik Magdon-Ismail, Jason Nicholas Kuruzovich, Kristin P. Bennett:
Predictive Modeling for Complex Care Management. BIBM 2021: 1443-1448 - [c57]Karan Bhanot, Saloni Dash, Joseph Pedersen, Isabelle Guyon, Kristin P. Bennett:
Quantifying Resemblance of Synthetic Medical Time-Series. ESANN 2021 - [c56]Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Xiao Shou, Nicholas Mattei, Kristin P. Bennett:
Causal Inference for Event Pairs in Multivariate Point Processes. NeurIPS 2021: 17311-17324 - 2020
- [j32]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): 773-781 (2020) - [j31]Andrew Yale, Saloni Dash, Ritik Dutta, Isabelle Guyon, Adrien Pavao, Kristin P. Bennett:
Generation and evaluation of privacy preserving synthetic health data. Neurocomputing 416: 244-255 (2020) - [j30]Alexander New, Kristin P. Bennett:
A Precision Environment-Wide Association Study of Hypertension via Supervised Cadre Models. IEEE J. Biomed. Health Informatics 24(3): 916-925 (2020) - [c55]Saloni Dash, Andrew Yale, Isabelle Guyon, Kristin P. Bennett:
Medical Time-Series Data Generation Using Generative Adversarial Networks. AIME 2020: 382-391 - [c54]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 - [c53]Miao Qi, Owen Cahan, Morgan Foreman, Daniel M. Gruen, Amar K. Das, Kristin P. Bennett:
Visualizing Inequities in Clinical Trials using ML Fairness Metrics. AMIA 2020 - [c52]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: 324-335 - 2019
- [j29]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: 97-112 (2019) - [c51]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: 2:1-2:4 - [c50]Andrew Yale, Saloni Dash, Ritik Dutta, Isabelle Guyon, Adrien Pavao, Kristin P. Bennett:
Assessing privacy and quality of synthetic health data. AIDR 2019: 8:1-8:4 - [c49]Hannah De Los Santos, Kristin P. Bennett, Jennifer M. Hurley:
ENCORE: A Visualization Tool for Insight into Circadian Omics. BCB 2019: 5-14 - [c47]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: 1057-1064 - [c46]Andrew Yale, Saloni Dash, Ritik Dutta, Isabelle Guyon, Adrien Pavao, Kristin P. Bennett:
Privacy Preserving Synthetic Health Data. ESANN 2019 - [c45]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: 53-68 - [c44]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: 117-120 - [c43]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 - [i8]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 abs/1907.04358 (2019) - [i7]Saloni Dash, Ritik Dutta, Isabelle Guyon, Adrien Pavao, Andrew Yale, Kristin P. Bennett:
Synthetic Event Time Series Health Data Generation. CoRR abs/1911.06411 (2019) - 2018
- [c42]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 - [c41]Alexander New, Curt M. Breneman, Kristin P. Bennett:
Cadre Modeling: Simultaneously Discovering Subpopulations and Predictive Models. IJCNN 2018: 1-8 - [c40]Jamie P. McCusker, Sabbir M. Rashid, Nkechinyere Agu, Kristin P. Bennett, Deborah L. McGuinness:
Developing Scientific Knowledge Graphs Using Whyis. SemSci@ISWC 2018: 52-58 - [c39]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 - [c38]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: 223-238 - [c37]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 - [i6]Alexander New, Curt M. Breneman, Kristin P. Bennett:
Cadre Modeling: Simultaneously Discovering Subpopulations and Predictive Models. CoRR abs/1802.02500 (2018) - [i5]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 abs/1807.07991 (2018) - [i4]Andrés Vargas, Md. Ridwan Al Iqbal, John S. Erickson, Kristin P. Bennett:
Grey-box Process Control Mining for Anomaly Monitoring and Deconstruction. CoRR abs/1808.03709 (2018) - [i3]Alexander New, Kristin P. Bennett:
A Precision Environment-Wide Association Study of Hypertension via Supervised Cadre Models. CoRR abs/1808.04880 (2018) - [i2]Alexander New, Sabbir M. Rashid, John S. Erickson, Deborah L. McGuinness, Kristin P. Bennett:
Semantically-aware population health risk analyses. CoRR abs/1811.11190 (2018) - 2017
- [c36]Hannah De Los Santos, Emily J. Collins, Jennifer M. Hurley, Kristin P. Bennett:
Circadian Rhythms in Neurospora Exhibit Biologically Relevant Driven and Damped Harmonic Oscillations. BCB 2017: 455-463 - 2016
- [c34]Rui Zhao, Md. Ridwan Al Iqbal, Kristin P. Bennett, Qiang Ji:
Wind turbine fault prediction using soft label SVM. ICPR 2016: 3192-3197 - [c33]John S. Erickson, John Sheehan, Kristin P. Bennett, Deborah L. McGuinness:
Addressing Scientific Rigor in Data Analytics Using Semantic Workflows. IPAW 2016: 187-190 - 2015
- [j28]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): 238-248 (2015) - [c32]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: 1-8 - [c31]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 - 2013
- [j27]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): 3352-3366 (2013) - 2012
- [j26]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): 1637-1659 (2012) - [j25]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): 1068-1079 (2012) - [j24]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): 792-804 (2012) - 2011
- [j23]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): 1667-1689 (2011) - [j22]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): 2808-2820 (2011) - [j21]Gregory M. Moore, Charles Bergeron, Kristin P. Bennett:
Model selection for primal SVM. Mach. Learn. 85(1-2): 175-208 (2011) - [c30]Minoo Aminian, Amina Shabbeer, Kane Hadley, Cagri Ozcaglar, Scott L. Vandenberg, Kristin P. Bennett:
Knowledge-based Bayesian network for the classification of Mycobacterium tuberculosis complex sublineages. BCB 2011: 201-208 - [c29]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: 75-82 - [c28]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: 124-129 - [c27]Amina Shabbeer, Cagri Ozcaglar, Bülent Yener, Kristin P. Bennett:
Preserving proximity relations and minimizing edge-crossings in high dimensional graph visualizations. LDAV 2011: 131-132 - [i1]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 abs/1108.5397 (2011) - 2010
- [j20]Minoo Aminian, Amina Shabbeer, Kristin P. Bennett:
A conformal Bayesian network for classification of Mycobacterium tuberculosis complex lineages. BMC Bioinform. 11(S-3): 4 (2010) - [c26]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: 543-548 - [c25]Gautam Kunapuli, Kristin P. Bennett, Amina Shabbeer, Richard Maclin, Jude W. Shavlik:
Online Knowledge-Based Support Vector Machines. ECML/PKDD (2) 2010: 145-161 - 2009
- [c24]Minoo Aminian, Amina Shabbeer, Kristin P. Bennett:
Determination of Major Lineages of Mycobacterium tuberculosis Complex Using Mycobacterial Interspersed Repetitive Units. BIBM 2009: 338-343 - [c23]Gregory M. Moore, Charles Bergeron, Kristin P. Bennett:
Nonsmooth Bilevel Programming for Hyperparameter Selection. ICDM Workshops 2009: 374-381 - 2008
- [j19]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: 63 (2008) - [j18]Daniel L. Silver, Kristin P. Bennett:
Guest editor's introduction: special issue on inductive transfer learning. Mach. Learn. 73(3): 215-220 (2008) - [j17]Gautam Kunapuli, Kristin P. Bennett, Jing Hu, Jong-Shi Pang:
Classification model selection via bilevel programming. Optim. Methods Softw. 23(4): 475-489 (2008) - [j16]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): 445-471 (2008) - [c22]Charles Bergeron, Jed Zaretzki, Curt M. Breneman, Kristin P. Bennett:
Multiple instance ranking. ICML 2008: 48-55 - [c21]Kristin P. Bennett, Gautam Kunapuli, Jing Hu, Jong-Shi Pang:
Bilevel Optimization and Machine Learning. WCCI 2008: 25-47 - 2007
- [j15]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): 693-704 (2007) - [j14]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): 9 (2007) - 2006
- [j13]Kristin P. Bennett, Emilio Parrado-Hernández:
The Interplay of Optimization and Machine Learning Research. J. Mach. Learn. Res. 7: 1265-1281 (2006) - [c20]Zhiwei Zhu, Qiang Ji, Kristin P. Bennett:
Nonlinear Eye Gaze Mapping Function Estimation via Support Vector Regression. ICPR (1) 2006: 1132-1135 - [c19]Kristin P. Bennett, Jing Hu, Xiaoyun Ji, Gautam Kunapuli, Jong-Shi Pang:
Model Selection via Bilevel Optimization. IJCNN 2006: 1922-1929 - [p1]Michinari Momma, Kristin P. Bennett:
Constructing Orthogonal Latent Features for Arbitrary Loss. Feature Extraction 2006: 551-583 - 2005
- [e1]Robert Grossman, Roberto J. Bayardo, Kristin P. Bennett:
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Chicago, Illinois, USA, August 21-24, 2005. ACM 2005, ISBN 1-59593-135-X [contents] - 2004
- [c15]Jinbo Bi, Tong Zhang, Kristin P. Bennett:
Column-generation boosting methods for mixture of kernels. KDD 2004: 521-526 - 2003
- [j12]Jinbo Bi, Kristin P. Bennett:
A geometric approach to support vector regression. Neurocomputing 55(1-2): 79-108 (2003) - [j11]Jinbo Bi, Kristin P. Bennett, Mark J. Embrechts, Curt M. Breneman, Minghu Song:
Dimensionality Reduction via Sparse Support Vector Machines. J. Mach. Learn. Res. 3: 1229-1243 (2003) - [c14]Michinari Momma, Kristin P. Bennett:
Sparse Kernel Partial Least Squares Regression. COLT 2003: 216-230 - [c13]Jinbo Bi, Kristin P. Bennett:
Regression Error Characteristic Curves. ICML 2003: 43-50 - 2002
- [j10]Minghu Song, Curt M. Breneman, Jinbo Bi, Nagamani Sukumar, Kristin P. Bennett, Steven M. Cramer, Nihal Tugcu:
Prediction of Protein Retention Times in Anion-Exchange Chromatography Systems Using Support Vector Regression. J. Chem. Inf. Comput. Sci. 42(6): 1347-1357 (2002) - [j9]Ayhan Demiriz, Kristin P. Bennett, John Shawe-Taylor:
Linear Programming Boosting via Column Generation. Mach. Learn. 46(1-3): 225-254 (2002) - [j8]Gunnar Rätsch, Ayhan Demiriz, Kristin P. Bennett:
Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces. Mach. Learn. 48(1-3): 189-218 (2002) - [c12]Kristin P. Bennett, Michinari Momma, Mark J. Embrechts:
MARK: a boosting algorithm for heterogeneous kernel models. KDD 2002: 24-31 - [c11]Kristin P. Bennett, Ayhan Demiriz, Richard Maclin:
Exploiting unlabeled data in ensemble methods. KDD 2002: 289-296 - [c10]Michinari Momma, Kristin P. Bennett:
A Pattern Search Method for Model Selection of Support Vector Regression. SDM 2002: 261-274 - 2001
- [c9]Jinbo Bi, Kristin P. Bennett:
Duality, Geometry, and Support Vector Regression. NIPS 2001: 593-600 - 2000
- [j7]Kristin P. Bennett, Nello Cristianini, John Shawe-Taylor, Donghui Wu:
Enlarging the Margins in Perceptron Decision Trees. Mach. Learn. 41(3): 295-313 (2000) - [j6]Kristin P. Bennett, Colin Campbell:
Support Vector Machines: Hype or Hallelujah? SIGKDD Explor. 2(2): 1-13 (2000) - [c7]Kristin P. Bennett, Ayhan Demiriz, John Shawe-Taylor:
A Column Generation Algorithm For Boosting. ICML 2000: 65-72 - [c6]Colin Campbell, Kristin P. Bennett:
A Linear Programming Approach to Novelty Detection. NIPS 2000: 395-401 - 1999
- [c5]Donghui Wu, Kristin P. Bennett, Nello Cristianini, John Shawe-Taylor:
Large Margin Trees for Induction and Transduction. ICML 1999: 474-483 - [c4]Kristin P. Bennett, Donghui Wu, Leonardo Auslender:
On support vector decision trees for database marketing. IJCNN 1999: 904-909 - [c3]Kristin P. Bennett, Usama M. Fayyad, Dan Geiger:
Density-Based Indexing for Approximate Nearest-Neighbor Queries. KDD 1999: 233-243 - 1998
- [c2]Kristin P. Bennett, Ayhan Demiriz:
Semi-Supervised Support Vector Machines. NIPS 1998: 368-374 - 1994
- [j2]Kristin P. Bennett, Olvi L. Mangasarian:
Serial and Parallel Multicategory Discrimination. SIAM J. Optim. 4(4): 722-734 (1994) - 1993
- [j1]Kristin P. Bennett, O. L. Mangasarian:
Bilinear separation of two sets inn-space. Comput. Optim. Appl. 2(3): 207-227 (1993) - 1991
- [c1]Kristin P. Bennett, Michael C. Ferris, Yannis E. Ioannidis:
A Genetic Algorithm for Database Query Optimization. ICGA 1991: 400-407
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Citation data
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load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2024-09-13 00:43 CEST by the dblp team
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