Kenney Ng - RankMe

72 papers A* 9A 2Misc 17Journal 25Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	PhysiOpt: Physics-Driven Shape Optimization for 3D Generative Models. SCF Adjunct Xiao Zhan, Clément Jambon, Evan Thompson, Kenney Ng, Mina Konakovic-Lukovic
2025	A*	`conf`	PhysiOpt: Physics-Driven Shape Optimization for 3D Generative Models. SIGGRAPH Asia Xiao Zhan, Clément Jambon, Evan Thompson, Kenney Ng, Mina Konakovic-Lukovic
2024	J	`jnl`	Multi-view biomedical foundation models for molecule-target and property prediction. CoRR Parthasarathy Suryanarayanan, Yunguang Qiu, Shreyans Sethi, Diwakar Mahajan, Hongyang Li, Yuxin Yang, Elif K. Eyigöz, Aldo Guzmán-Sáenz, Daniel E. Platt, Timothy H. Rumbell, Kenney Ng, Sanjoy Dey, Myson Burch, Bum Chul Kwon, Pablo Meyer, Feixiong Cheng, Jianying Hu, Joseph A. Morrone
2024	A*	`conf`	SPARK: Harnessing Human-Centered Workflows with Biomedical Foundation Models for Drug Discovery. IJCAI Bum Chul Kwon, Simona Rabinovici-Cohen, Beldine Moturi, Ruth Mwaura, Kezia Wahome, Oliver Njeru, Miguel Shinyenyi, Catherine Wanjiru, Sekou L. Remy, William Ogallo, Itai Guez, Parthasarathy Suryanarayanan, Joseph A. Morrone, Shreyans Sethi, Seung-gu Kang, Tien Huynh, Kenney Ng, Diwakar Mahajan, Hongyang Li, Matan Ninio, Shervin Ayati, Efrat Hexter, Wendy D. Cornell
2023	J	`jnl`	Latent Space Explorer: Visual Analytics for Multimodal Latent Space Exploration. CoRR Bum Chul Kwon, Sam Freesun Friedman, Kai Xu, Steven A. Lubitz, Anthony Philippakis, Puneet Batra, Patrick T. Ellinor, Kenney Ng
2022	Misc	`conf`	Assessing the Robustness and Internal Consistency of the Pooled Cohort Equations. AMIA Uri Kartoun, Shaan Khurshid, BC Kwon, Aniruddh P. Patel, Akl Fahed, Puneet Batra, Anthony A. Philippakis, Steven A. Lubitz, Amit V. Khera, Patrick T. Ellinor, Vibha Anand, Kenney Ng
2022	Misc	`conf`	Feature Selection Based on Subpopulations and Propensity Score Matching: A Coronary Artery Disease Use Case using the UK Biobank. AMIA Uri Kartoun, Paul Myers, Kristen A. Severson, Wangzhi Dai, Kenney Ng, Collin M. Stultz
2022	J	`jnl`	Human-centered explainability for life sciences, healthcare, and medical informatics. Patterns Sanjoy Dey, Prithwish Chakraborty, Bum Chul Kwon, Amit Dhurandhar, Mohamed F. Ghalwash, Fernando J. Suarez Saiz, Kenney Ng, Daby Sow, Kush R. Varshney, Pablo Meyer
2022	J	`jnl`	Identifying patterns in amyotrophic lateral sclerosis progression from sparse longitudinal data. Nat. Comput. Sci. Divya Ramamoorthy, Kristen Severson, Soumya Ghosh, Karen Sachs, Emily G. Baxi, Alyssa N. Coyne, Elizabeth Mosmiller, Lindsey Hayes, Aianna Cerezo, Omar Ahmad, Promit Roy, Steven Zeiler, John W. Krakauer, Jonathan Li, Aneesh Donde, Nhan Huynh, Miriam Adam, Brook T. Wassie, Alexander LeNail, Natasha Leanna Patel-Murray, Yogindra Raghav, Velina Kozareva, Stanislav Tsitkov, Tobias Ehrenberger, Julia A. Kaye, Leandro Lima, Stacia K. Wyman, Edward Vertudes, Naufa Amirani, Krishna Raja, Reuben Thomas, Ryan G. Lim, Ricardo Miramontes, Jie Wu, Vineet Vaibhav, Andrea Matlock, Vidya Venkatraman, Ronald Holewenski, Niveda Sundararaman, Rakhi Pandey, Danica-Mae Manalo, Aaron Frank, Loren Ornelas, Lindsey Panther, Emilda Gomez, Erick Galvez, Daniel Pérez, Imara Meepe, Susan Lei, Louis Pinedo, Chunyan Liu, Ruby Moran, Dhruv Sareen, Barry Landin, Carla Agurto, Guillermo A. Cecchi, Raquel Norel, Sara Thrower, Sarah Luppino, Alanna Farrar, Lindsay Pothier, Hong Yu, Ervin Sinani, Prasha Vigneswaran, Alexander V. Sherman, S. Michelle Farr, Berhan Mandefro, Hannah Trost, Maria G. Banuelos, Veronica Garcia, Michael Workman, Richie Ho, Robert Baloh, Jennifer Roggenbuck, Matthew B. Harms, Carolyn Prina, Sarah Heintzman, Stephen Kolb, Jennifer Stocksdale, Keona Wang, Todd Morgan, Daragh Heitzman, Arish Jamil, Jennifer Jockel-Balsarotti, Elizabeth Karanja, Jesse Markway, Molly McCallum, Tim Miller, Ben Joslin, Deniz Alibazoglu, Senda Ajroud-Driss, Jay C. Beavers, Mary Bellard, Elizabeth Bruce, Nicholas J. Maragakis, Merit E. Cudkowicz, James D. Berry, Terri Thompson, Steven Finkbeiner, Leslie M. Thompson, Jennifer E. Van Eyk, Clive N. Svendsen, Jeffrey D. Rothstein, Jonathan D. Glass, Christina N. Fournier, Alexander Sherman, Christian Lunetta, David Walk, Ghazala Hayat, James Wymer, Kelly Gwathmey, Nicholas Olney, Terry Heiman-Patterson, Ximena Arcila-Londono, Kenneth Faulconer, Ervin Sanani, Alex Berger, Julia Mirochnick, Todd M. Herrington, Kenney Ng, Ernest Fraenkel
2022	—	`conf`	RMExplorer: A Visual Analytics Approach to Explore the Performance and the Fairness of Disease Risk Models on Population Subgroups. IEEE VIS (Short Papers) Bum Chul Kwon, Uri Kartoun, Shaan Khurshid, Mikhail Yurochkin, Subha Maity, Deanna G. Brockman, Amit V. Khera, Patrick T. Ellinor, Steven A. Lubitz, Kenney Ng
2022	J	`jnl`	RMExplorer: A Visual Analytics Approach to Explore the Performance and the Fairness of Disease Risk Models on Population Subgroups. CoRR Bum Chul Kwon, Uri Kartoun, Shaan Khurshid, Mikhail Yurochkin, Subha Maity, Deanna G. Brockman, Amit V. Khera, Patrick T. Ellinor, Steven A. Lubitz, Kenney Ng
2022	J	`jnl`	Silhouette images enable estimation of body fat distribution and associated cardiometabolic risk. npj Digit. Medicine Marcus D. R. Klarqvist, Saaket Agrawal, Nathaniel Diamant, Patrick T. Ellinor, Anthony Philippakis, Kenney Ng, Puneet Batra, Amit V. Khera
2021	J	`jnl`	Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge. CoRR Prithwish Chakraborty, James V. Codella, Piyush Madan, Ying Li, Hu Huang, Yoonyoung Park, Chao Yan, Ziqi Zhang, Cheng Gao, Steve Nyemba, Xu Min, Sanjib Basak, Mohamed F. Ghalwash, Zach Shahn, Parthasarathy Suryanarayanan, Italo Buleje, Shannon Harrer, Sarah Miller, Amol Rajmane, Colin Walsh, Jonathan Wanderer, Gigi Y. Yuen-Reed, Kenney Ng, Daby Sow, Bradley A. Malin
2021	J	`jnl`	DPVis: Visual Analytics With Hidden Markov Models for Disease Progression Pathways. IEEE Trans. Vis. Comput. Graph. Bum Chul Kwon, Vibha Anand, Kristen A. Severson, Soumya Ghosh, Zhaonan Sun, Brigitte I. Frohnert, Markus Lundgren, Kenney Ng
2021	J	`jnl`	Disease network delineates the disease progression profile of cardiovascular diseases. J. Biomed. Informatics Zefang Tang, Yiqin Yu, Kenney Ng, Daby Sow, Jianying Hu, Jing Mei
2021	Misc	`conf`	How Robust is Your Risk Model? Assessing Subpopulation Performance Heterogeneity in Risk Models Based on Discrimination, Calibration, and Fairness Measures: An Atrial Fibrillation Use Case. AMIA Uri Kartoun, Shaan Khurshid, Bum Chul Kwon, Amit V. Khera, Patrick T. Ellinor, Steven A. Lubitz, Kenney Ng
2021	Misc	`conf`	Impact of Clinical and Genomic Factors on COVID-19 Disease Severity. AMIA Sanjoy Dey, Aritra Bose, Subrata Saha, Prithwish Chakraborty, Mohamed F. Ghalwash, Filippo Utro, Aldo Guzmán-Sáenz, Kenney Ng, Jianying Hu, Laxmi Parida, Daby Sow
2021	Misc	`conf`	Interactive Model Report Card for Visual Exploration of Performance Heterogeneity and Biases on Population Subgroups. AMIA Bum Chul Kwon, Uri Kartoun, Shaan Khurshid, Amit V. Khera, Patrick T. Ellinor, Steven A. Lubitz, Kenney Ng
2021	A	`conf`	Post-hoc loss-calibration for Bayesian neural networks. UAI Meet P. Vadera, Soumya Ghosh, Kenney Ng, Benjamin M. Marlin
2021	J	`jnl`	Post-hoc loss-calibration for Bayesian neural networks. CoRR Meet P. Vadera, Soumya Ghosh, Kenney Ng, Benjamin M. Marlin
2021	J	`jnl`	Precision population analytics: population management at the point-of-care. J. Am. Medical Informatics Assoc. Paul C. Tang, Sarah Miller, Harry Stavropoulos, Uri Kartoun, John Zambrano, Kenney Ng
2021	J	`jnl`	Selection of 51 predictors from 13, 782 candidate multimodal features using machine learning improves coronary artery disease prediction. Patterns Saaket Agrawal, Marcus D. R. Klarqvist, Connor Emdin, Aniruddh P. Patel, Manish D. Paranjpe, Patrick T. Ellinor, Anthony A. Philippakis, Kenney Ng, Puneet Batra, Amit V. Khera
2021	Misc	`conf`	State of the Art Causal Inference in the Presence of Extraneous Covariates: A Simulation Study. AMIA Raluca Cobzaru, Sharon Jiang, Kenney Ng, Stan Finkelstein, Roy Welsch, Zachary Shahn
2020	J	`jnl`	Complication Risk Profiling in Diabetes Care: A Bayesian Multi-Task and Feature Relationship Learning Approach. IEEE Trans. Knowl. Data Eng. Bin Liu, Ying Li, Soumya Ghosh, Zhaonan Sun, Kenney Ng, Jianying Hu
2020	J	`jnl`	Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning. CoRR Yiqin Yu, Xu Min, Shiwan Zhao, Jing Mei, Fei Wang, Dongsheng Li, Kenney Ng, Shaochun Li
2020	—	`conf`	Embracing Disease Progression with a Learning System for Real World Evidence Discovery. ICIC (2) Zefang Tang, Lun Hu, Xu Min, Yuan Zhang, Jing Mei, Kenney Ng, Shaochun Li, Pengwei Hu, Zhuhong You
2020	J	`jnl`	Identifying unreliable predictions in clinical risk models. npj Digit. Medicine Paul D. Myers, Kenney Ng, Kristen A. Severson, Uri Kartoun, Wangzhi Dai, Wei Huang, Fred Anderson, Collin M. Stultz
2020	Misc	`conf`	Leveraging Longitudinal Autoantibody for Phenotyping of Progression Rates to Type 1 Diabetes. AMIA Mohamed F. Ghalwash, Vibha Anand, Kenney Ng, Jessica L. Dunne, Markus Lundgren, Marian Rewers, Riitta Veijola
2020	Misc	`conf`	Modeling Disease Progression Trajectories from Longitudinal Observational Data. AMIA Bum Chul Kwon, Peter Achenbach, Jessica L. Dunne, William Hagopian, Markus Lundgren, Kenney Ng, Riitta Veijola, Brigitte I. Frohnert, Vibha Anand
2020	J	`jnl`	Modeling Disease Progression Trajectories from Longitudinal Observational Data. CoRR Bum Chul Kwon, Peter Achenbach, Jessica L. Dunne, William Hagopian, Markus Lundgren, Kenney Ng, Riitta Veijola, Brigitte I. Frohnert, Vibha Anand, the T1DI Study Group
2020	—	`conf`	Personalized Input-Output Hidden Markov Models for Disease Progression Modeling. MLHC Kristen A. Severson, Lana M. Chahine, Luba Smolensky, Kenney Ng, Jianying Hu, Soumya Ghosh
2020	Misc	`conf`	Predicting Type 1 Diabetes Onset using Novel Survival Analysis with Biomarker Ontology. AMIA Ying Li, Bin Liu, Vibha Anand, Markus Lundgren, Kenney Ng, Marian Rewers, Riitta Veijola, Mohamed F. Ghalwash
2020	—	`conf`	Prognostication and Outcome-specific Risk Factor Identification for Diabetes Care via Private-shared Multi-task Learning. IEEE BigData Bin Liu, Ying Li, Kenney Ng
2020	A*	`conf`	Tutorial on Human-Centered Explainability for Healthcare. KDD Prithwish Chakraborty, Bum Chul Kwon, Sanjoy Dey, Amit Dhurandhar, Daniel M. Gruen, Kenney Ng, Daby Sow, Kush R. Varshney
2019	J	`jnl`	DPVis: Visual Exploration of Disease Progression Pathways. CoRR Bum Chul Kwon, Vibha Anand, Kristen A. Severson, Soumya Ghosh, Zhaonan Sun, Brigitte I. Frohnert, Markus Lundgren, Kenney Ng
2019	A*	`conf`	Generative Oversampling with a Contrastive Variational Autoencoder. ICDM Wangzhi Dai, Kenney Ng, Kristen A. Severson, Wei Huang, Fred Anderson, Collin M. Stultz
2019	A*	`conf`	PerDREP: Personalized Drug Effectiveness Prediction from Longitudinal Observational Data. KDD Sanjoy Dey, Ping Zhang, Daby Sow, Kenney Ng
2019	A*	`conf`	Unsupervised Learning with Contrastive Latent Variable Models. AAAI Kristen A. Severson, Soumya Ghosh, Kenney Ng
2018	J	`jnl`	Clustervision: Visual Supervision of Unsupervised Clustering. IEEE Trans. Vis. Comput. Graph. Bum Chul Kwon, Ben Eysenbach, Janu Verma, Kenney Ng, Christopher deFilippi, Walter F. Stewart, Adam Perer
2018	J	`jnl`	Curating and integrating user-generated health data from multiple sources to support healthcare analytics. IBM J. Res. Dev. Chris Kakkanatt, Michael Benigno, Margaret Jackson, Paul Huang, Kenney Ng
2018	A*	`conf`	Early Prediction of Diabetes Complications from Electronic Health Records: A Multi-Task Survival Analysis Approach. AAAI Bin Liu, Ying Li, Zhaonan Sun, Soumya Ghosh, Kenney Ng
2018	Misc	`conf`	Estimating Personalized Drug Effects with Longitudinal Observational Data. AMIA Sanjoy Dey, Ping Zhang, Kenney Ng
2018	J	`jnl`	Preface: User-generated health data and applications. IBM J. Res. Dev. Ching-Hua Chen, Kenney Ng
2018	J	`jnl`	Simultaneous Modeling of Multiple Complications for Risk Profiling in Diabetes Care. CoRR Bin Liu, Ying Li, Soumya Ghosh, Zhaonan Sun, Kenney Ng, Jianying Hu
2018	J	`jnl`	Unsupervised learning with contrastive latent variable models. CoRR Kristen A. Severson, Soumya Ghosh, Kenney Ng
2016	Misc	`conf`	Characterizing Physicians Practice Phenotype from Unstructured Electronic Health Records. AMIA Sanjoy Dey, Yajuan Wang, Roy J. Byrd, Kenney Ng, Steven R. Steinhubl, Christopher deFilippi, Walter F. Stewart
2016	—	`conf`	Data Driven Modeling of Electronic Health Record Data to Detect Pre-Diagnostic Heart Failure Subtypes in Primary Care. CRI Kenney Ng, Walter F. Stewart, Christopher deFilippi, Steven R. Steinhubl
2016	A*	`conf`	Interacting with Predictions: Visual Inspection of Black-box Machine Learning Models. CHI Josua Krause, Adam Perer, Kenney Ng
2016	Misc	`conf`	Watson Cognitive Computing for Electronic Medical Records. AMIA Murthy V. Devarakonda, Neil Mehta, Christopher Nielson, Kenney Ng, Preethi Raghavan
2015	—	`conf`	Curating and Integrating Data from Multiple Sources to Support Healthcare Analytics. MedInfo Kenney Ng, Chris Kakkanatt, Michael Benigno, Clay Thompson, Margaret Jackson, Amos Cahan, Xinxin Zhu, Ping Zhang, Paul Huang
2015	Misc	`conf`	Early Detection of Heart Failure using Data Driven Modeling Approaches on Electronic Health Records: How far can one go without Domain Knowledge? AMIA Kenney Ng, Yajuan Wang, Jianying Hu, Walter F. Stewart, Steven R. Steinhubl, Christopher deFilippi
2015	—	`conf`	Early detection of heart failure with varying prediction windows by structured and unstructured data in electronic health records. EMBC Yajuan Wang, Kenney Ng, Roy J. Byrd, Jianying Hu, Shahram Ebadollahi, Zahra Daar, Christopher deFilippi, Steven R. Steinhubl, Walter F. Stewart
2015	A*	`conf`	Towards Cognitive Automation of Data Science. AAAI Alain Biem, Maria Butrico, Mark Feblowitz, Tim Klinger, Yuri Malitsky, Kenney Ng, Adam Perer, Chandra Reddy, Anton Riabov, Horst Samulowitz, Daby M. Sow, Gerald Tesauro, Deepak S. Turaga
2014	J	`jnl`	PARAMO: A PARAllel predictive MOdeling platform for healthcare analytic research using electronic health records. J. Biomed. Informatics Kenney Ng, Amol Ghoting, Steven R. Steinhubl, Walter F. Stewart, Bradley A. Malin, Jimeng Sun
2011	J	`jnl`	Auto-Grouping Emails For Faster E-Discovery. Proc. VLDB Endow. Sachindra Joshi, Danish Contractor, Kenney Ng, Prasad M. Deshpande, Thomas Hampp
2000	Misc	`conf`	Information fusion for spoken document retrieval. ICASSP Kenney Ng
2000	J	`jnl`	Subword-based approaches for spoken document retrieval. Speech Commun. Kenney Ng, Victor W. Zue
2000	—	`—`	Subword-based approaches for spoken document retrieval. Kenney Ng
2000	A	`conf`	Towards an integrated approach for spoken document retrieval. INTERSPEECH Kenney Ng
1999	—	`conf`	A Maximum Likelihood Ratio Information Retrieval Model. TREC Kenney Ng
1998	Misc	`conf`	Phonetic recognition for spoken document retrieval. ICASSP Kenney Ng, Victor W. Zue
1998	—	`conf`	Towards robust methods for spoken document retrieval. ICSLP Kenney Ng
1997	—	`conf`	Subword unit representations for spoken document retrieval. EUROSPEECH Kenney Ng, Victor W. Zue
1996	—	`conf`	Parametric trajectory models for speech recognition. ICSLP Herbert Gish, Kenney Ng
1995	Misc	`conf`	Reducing word error rate on conversational speech from the Switchboard corpus. ICASSP Philippe Jeanrenaud, Ellen Eide, Upendra V. Chaudhari, John W. McDonough, Kenney Ng, Man-Hung Siu, Herbert Gish
1994	—	`conf`	Approaches to topic identification on the switchboard corpus. ICASSP (1) John W. McDonough, Kenney Ng, Philippe Jeanrenaud, Herbert Gish, Jan Robin Rohlicek
1993	—	`conf`	A segmental speech model with applications to word spotting. ICASSP (2) Herbert Gish, Kenney Ng
1993	—	`conf`	Phonetic training and language modeling for word spotting. ICASSP (2) Jan Robin Rohlicek, Philippe Jeanrenaud, Kenney Ng, Herbert Gish, Bruce R. Musicus, Man-Hung Siu
1993	—	`conf`	Phonetic-based word spotter: various configurations and application to event spotting. EUROSPEECH Philippe Jeanrenaud, Kenney Ng, Man-Hung Siu, Jan Robin Rohlicek, Herbert Gish
1992	Misc	`conf`	Robust mapping of noisy speech parameters for HMM word spotting. ICASSP Kenney Ng, Herbert Gish, Jan Robin Rohlicek
1992	—	`conf`	Secondary processing using speech segments for an HMM word spotting system. ICSLP Herbert Gish, Kenney Ng, Jan Robin Rohlicek
1990	—	`conf`	Practical Characteristics of Neural Network and Conventional Patterns Classifiers. NIPS Kenney Ng, Richard Lippmann