Kristin P. Bennett
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
37
Venues
16
Active years
1999–2026
Best venue rank
A*
Where they publish
Papers
37 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WWW | Benchmarking Temporal Web3 Intelligence: Lessons from the FinSurvival 2025 Challenge. | Oshani Seneviratne, Fernando Spadea, Adrien Pavao, Aaron Micah Green, Kristin P. Bennett |
| 2025 | ESANN | Encoding Matters: Impact of Categorical Variable Encoding on Performance and Bias. | Daniel Kopp, Benjamin Maudet, Lisheng Sun-Hosoya, Kristin P. Bennett |
| 2025 | NAACL | 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 |
| 2023 | AAAI | Concurrent Multi-Label Prediction in Event Streams. | Xiao Shou, Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Kristin P. Bennett |
| 2023 | AIES | Stress-Testing Bias Mitigation Algorithms to Understand Fairness Vulnerabilities. | Karan Bhanot, Ioana Baldini, Dennis Wei, Jiaming Zeng, Kristin P. Bennett |
| 2023 | ESANN | Adversarial Auditing of Machine Learning Models under Compound Shift. | Karan Bhanot, Dennis Wei, Ioana Baldini, Kristin P. Bennett |
| 2023 | ICML | Probabilistic Attention-to-Influence Neural Models for Event Sequences. | Xiao Shou, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Oktie Hassanzadeh, Kristin P. Bennett |
| 2022 | AIES | An Ontology for Fairness Metrics. | Jade S. Franklin, Karan Bhanot, Mohamed F. Ghalwash, Kristin P. Bennett, Jamie P. McCusker, Deborah L. McGuinness |
| 2022 | AMIA | Evaluating Fairness of Synthetic Healthcare Data Models. | Karan Bhanot, Ioana Baldini, Dennis Wei, Jiaming Zeng, Kristin P. Bennett |
| 2022 | ICDM | 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 |
| 2021 | AMIA | Planning Equitable Clinical Trial Enrollment using Integer Programming. | Miao Qi, Amar K. Das, Kristin P. Bennett |
| 2021 | ESANN | Quantifying Resemblance of Synthetic Medical Time-Series. | Karan Bhanot, Saloni Dash, Joseph Pedersen, Isabelle Guyon, Kristin P. Bennett |
| 2020 | AIME | Medical Time-Series Data Generation Using Generative Adversarial Networks. | Saloni Dash, Andrew Yale, Isabelle Guyon, Kristin P. Bennett |
| 2020 | AMIA | 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 |
| 2020 | AMIA | Visualizing Inequities in Clinical Trials using ML Fairness Metrics. | Miao Qi, Owen Cahan, Morgan Foreman, Daniel M. Gruen, Amar K. Das, Kristin P. Bennett |
| 2019 | ESANN | Privacy Preserving Synthetic Health Data. | Andrew Yale, Saloni Dash, Ritik Dutta, Isabelle Guyon, Adrien Pavao, Kristin P. Bennett |
| 2018 | ESANN | Analysis of imputation bias for feature selection with missing data. | Borja Seijo-Pardo, Amparo Alonso-Betanzos, Kristin P. Bennett, Vernica Boln-Canedo, Isabelle Guyon, Julie Josse, Mehreen Saeed |
| 2018 | IJCNN | Cadre Modeling: Simultaneously Discovering Subpopulations and Predictive Models. | Alexander New, Curt M. Breneman, Kristin P. Bennett |
| 2016 | ICPR | Wind turbine fault prediction using soft label SVM. | Rui Zhao, Md. Ridwan Al Iqbal, Kristin P. Bennett, Qiang Ji |
| 2015 | IJCNN | Design of the 2015 ChaLearn AutoML challenge. | Isabelle Guyon, Kristin P. Bennett, Gavin C. Cawley, Hugo Jair Escalante, Sergio Escalera, Tin Kam Ho, Nria Maci, Bisakha Ray, Mehreen Saeed, Alexander R. Statnikov, Evelyne Viegas |
| 2009 | ICDM | Nonsmooth Bilevel Programming for Hyperparameter Selection. | Gregory M. Moore, Charles Bergeron, Kristin P. Bennett |
| 2008 | ICML | Multiple instance ranking. | Charles Bergeron, Jed Zaretzki, Curt M. Breneman, Kristin P. Bennett |
| 2006 | IJCNN | Model Selection via Bilevel Optimization. | Kristin P. Bennett, Jing Hu, Xiaoyun Ji, Gautam Kunapuli, Jong-Shi Pang |
| 2006 | ICPR | Nonlinear Eye Gaze Mapping Function Estimation via Support Vector Regression. | Zhiwei Zhu, Qiang Ji, Kristin P. Bennett |
| 2005 | ICASSP | Kernelized set-membership approach to nonlinear adaptive filtering. | Amaresh V. Malipatil, Yih-Fang Huang, Srinivas Andra, Kristin P. Bennett |
| 2004 | ICMLA | Decision-tree learning in dwell point policies in autonomous vehicle storage and retrieval systems (AVSRS). | Miki Fukunari, Kristin P. Bennett, Charles J. Malmborg |
| 2004 | KDD | Column-generation boosting methods for mixture of kernels. | Jinbo Bi, Tong Zhang, Kristin P. Bennett |
| 2003 | COLT | Sparse Kernel Partial Least Squares Regression. | Michinari Momma, Kristin P. Bennett |
| 2003 | ICML | Regression Error Characteristic Curves. | Jinbo Bi, Kristin P. Bennett |
| 2002 | KDD | Exploiting unlabeled data in ensemble methods. | Kristin P. Bennett, Ayhan Demiriz, Richard Maclin |
| 2002 | KDD | MARK: a boosting algorithm for heterogeneous kernel models. | Kristin P. Bennett, Michinari Momma, Mark J. Embrechts |
| 2002 | SDM | A Pattern Search Method for Model Selection of Support Vector Regression. | Michinari Momma, Kristin P. Bennett |
| 2000 | ICML | A Column Generation Algorithm For Boosting. | Kristin P. Bennett, Ayhan Demiriz, John Shawe-Taylor |
| 2000 | ICML | Duality and Geometry in SVM Classifiers. | Kristin P. Bennett, Erin J. Bredensteiner |
| 1999 | ICML | Large Margin Trees for Induction and Transduction. | Donghui Wu, Kristin P. Bennett, Nello Cristianini, John Shawe-Taylor |
| 1999 | IJCNN | On support vector decision trees for database marketing. | Kristin P. Bennett, Donghui Wu, Leonardo Auslender |
| 1999 | KDD | Density-Based Indexing for Approximate Nearest-Neighbor Queries. | Kristin P. Bennett, Usama M. Fayyad, Dan Geiger |