Kenney Ng

According to our database, Kenney Ng authored at least 65 papers between 1990 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Latent Space Explorer: Visual Analytics for Multimodal Latent Space Exploration.

Bum Chul Kwon, Samuel F. Friedman, Kai Xu, Steven A. Lubitz, Anthony Philippakis, Puneet Batra, Patrick T. Ellinor, Kenney Ng

CoRR, 2023

2022

Human-centered explainability for life sciences, healthcare, and medical informatics.

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

Patterns, 2022

Silhouette images enable estimation of body fat distribution and associated cardiometabolic risk.

Marcus D. R. Klarqvist, Saaket Agrawal, Nathaniel Diamant, Patrick T. Ellinor, Anthony Philippakis, Kenney Ng, Puneet Batra, Amit V. Khera

npj Digit. Medicine, 2022

Identifying patterns in amyotrophic lateral sclerosis progression from sparse longitudinal data.

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

Nat. Comput. Sci., 2022

RMExplorer: A Visual Analytics Approach to Explore the Performance and the Fairness of Disease Risk Models on Population Subgroups.

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

Proceedings of the 2022 IEEE Visualization and Visual Analytics (VIS), 2022

Feature Selection Based on Subpopulations and Propensity Score Matching: A Coronary Artery Disease Use Case using the UK Biobank.

Uri Kartoun, Paul Myers, Kristen A. Severson, Wangzhi Dai, Kenney Ng, Collin M. Stultz

Proceedings of the AMIA 2022, 2022

Assessing the Robustness and Internal Consistency of the Pooled Cohort Equations.

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

Proceedings of the AMIA 2022, 2022

2021

DPVis: Visual Analytics With Hidden Markov Models for Disease Progression Pathways.

Bum Chul Kwon, Vibha Anand, Kristen A. Severson, Soumya Ghosh, Zhaonan Sun, Brigitte I. Frohnert, Markus Lundgren, Kenney Ng

IEEE Trans. Vis. Comput. Graph., 2021

Selection of 51 predictors from 13, 782 candidate multimodal features using machine learning improves coronary artery disease prediction.

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

Patterns, 2021

Disease network delineates the disease progression profile of cardiovascular diseases.

Zefang Tang, Yiqin Yu, Kenney Ng, Daby Sow, Jianying Hu, Jing Mei

J. Biomed. Informatics, 2021

Precision population analytics: population management at the point-of-care.

Paul C. Tang, Sarah Miller, Harry Stavropoulos, Uri Kartoun, John Zambrano, Kenney Ng

J. Am. Medical Informatics Assoc., 2021

Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge.

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, Parthasararathy Suryanarayanan, Italo Buleje, Shannon Harrer, Sarah Miller, Amol Rajmane, Colin Walsh, Jonathan Wanderer, Gigi Y. Yuen-Reed, Kenney Ng, Daby Sow, Bradley A. Malin

CoRR, 2021

Post-hoc loss-calibration for Bayesian neural networks.

Meet P. Vadera, Soumya Ghosh, Kenney Ng, Benjamin M. Marlin

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Interactive Model Report Card for Visual Exploration of Performance Heterogeneity and Biases on Population Subgroups.

Bum Chul Kwon, Uri Kartoun, Shaan Khurshid, Amit V. Khera, Patrick T. Ellinor, Steven A. Lubitz, Kenney Ng

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

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.

Uri Kartoun, Shaan Khurshid, Bum Chul Kwon, Amit V. Khera, Patrick T. Ellinor, Steven A. Lubitz, Kenney Ng

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Impact of Clinical and Genomic Factors on COVID-19 Disease Severity.

Sanjoy Dey, Aritra Bose, Subrata Saha, Prithwish Chakraborty, Mohamed F. Ghalwash, Filippo Utro, Aldo Guzmán-Sáenz, Kenney Ng, Jianying Hu, Laxmi Parida, Daby Sow

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

State of the Art Causal Inference in the Presence of Extraneous Covariates: A Simulation Study.

Raluca Cobzaru, Sharon Jiang, Kenney Ng, Stan Finkelstein, Roy Welsch, Zachary Shahn

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Complication Risk Profiling in Diabetes Care: A Bayesian Multi-Task and Feature Relationship Learning Approach.

Bin Liu, Ying Li, Soumya Ghosh, Zhaonan Sun, Kenney Ng, Jianying Hu

IEEE Trans. Knowl. Data Eng., 2020

Identifying unreliable predictions in clinical risk models.

Paul Myers, Kenney Ng, Kristen A. Severson, Uri Kartoun, Wangzhi Dai, Wei Huang, Fred Anderson, Collin M. Stultz

npj Digit. Medicine, 2020

Modeling Disease Progression Trajectories from Longitudinal Observational Data.

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

CoRR, 2020

Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning.

Yiqin Yu, Xu Min, Shiwan Zhao, Jing Mei, Fei Wang, Dongsheng Li, Kenney Ng, Shaochun Li

CoRR, 2020

Personalized Input-Output Hidden Markov Models for Disease Progression Modeling.

Kristen A. Severson, Lana M. Chahine, Luba Smolensky, Kenney Ng, Jianying Hu, Soumya Ghosh

Proceedings of the Machine Learning for Healthcare Conference, 2020

Tutorial on Human-Centered Explainability for Healthcare.

Prithwish Chakraborty, Bum Chul Kwon, Sanjoy Dey, Amit Dhurandhar, Daniel M. Gruen, Kenney Ng, Daby Sow, Kush R. Varshney

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Embracing Disease Progression with a Learning System for Real World Evidence Discovery.

Zefang Tang, Lun Hu, Xu Min, Yuan Zhang, Jing Mei, Kenney Ng, Shaochun Li, Pengwei Hu, Zhuhong You

Proceedings of the Intelligent Computing Theories and Application, 2020

Prognostication and Outcome-specific Risk Factor Identification for Diabetes Care via Private-shared Multi-task Learning.

Bin Liu, Ying Li, Kenney Ng

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Predicting Type 1 Diabetes Onset using Novel Survival Analysis with Biomarker Ontology.

Ying Li, Bin Liu, Vibha Anand, Markus Lundgren, Kenney Ng, Marian Rewers, Riitta Veijola, Mohamed F. Ghalwash

Proceedings of the AMIA 2020, 2020

Modeling Disease Progression Trajectories from Longitudinal Observational Data.

Bum Chul Kwon, Peter Achenbach, Jessica L. Dunne, William Hagopian, Markus Lundgren, Kenney Ng, Riitta Veijola, Brigitte I. Frohnert, Vibha Anand

Proceedings of the AMIA 2020, 2020

Leveraging Longitudinal Autoantibody for Phenotyping of Progression Rates to Type 1 Diabetes.

Mohamed F. Ghalwash, Vibha Anand, Kenney Ng, Jessica L. Dunne, Markus Lundgren, Marian Rewers, Riitta Veijola

Proceedings of the AMIA 2020, 2020

2019

DPVis: Visual Exploration of Disease Progression Pathways.

Bum Chul Kwon, Vibha Anand, Kristen A. Severson, Soumya Ghosh, Zhaonan Sun, Brigitte I. Frohnert, Markus Lundgren, Kenney Ng

CoRR, 2019

PerDREP: Personalized Drug Effectiveness Prediction from Longitudinal Observational Data.

Sanjoy Dey, Ping Zhang, Daby Sow, Kenney Ng

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Generative Oversampling with a Contrastive Variational Autoencoder.

Wangzhi Dai, Kenney Ng, Kristen A. Severson, Wei Huang, Fred Anderson, Collin M. Stultz

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Unsupervised Learning with Contrastive Latent Variable Models.

Kristen A. Severson, Soumya Ghosh, Kenney Ng

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Clustervision: Visual Supervision of Unsupervised Clustering.

Bum Chul Kwon, Ben Eysenbach, Janu Verma, Kenney Ng, Christopher deFilippi, Walter F. Stewart, Adam Perer

IEEE Trans. Vis. Comput. Graph., 2018

Curating and integrating user-generated health data from multiple sources to support healthcare analytics.

Chris Kakkanatt, Michael Benigno, Margaret Jackson, Paul Huang, Kenney Ng

IBM J. Res. Dev., 2018

Preface: User-generated health data and applications.

Ching-Hua Chen, Kenney Ng

IBM J. Res. Dev., 2018

Simultaneous Modeling of Multiple Complications for Risk Profiling in Diabetes Care.

Bin Liu, Ying Li, Soumya Ghosh, Zhaonan Sun, Kenney Ng, Jianying Hu

CoRR, 2018

Estimating Personalized Drug Effects with Longitudinal Observational Data.

Sanjoy Dey, Ping Zhang, Kenney Ng

Proceedings of the AMIA 2018, 2018

Early Prediction of Diabetes Complications from Electronic Health Records: A Multi-Task Survival Analysis Approach.

Bin Liu, Ying Li, Zhaonan Sun, Soumya Ghosh, Kenney Ng

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016

Data Driven Modeling of Electronic Health Record Data to Detect Pre-Diagnostic Heart Failure Subtypes in Primary Care.

Kenney Ng, Walter F. Stewart, Christopher deFilippi, Steven R. Steinhubl

Proceedings of the Summit on Clinical Research Informatics, 2016

Interacting with Predictions: Visual Inspection of Black-box Machine Learning Models.

Josua Krause, Adam Perer, Kenney Ng

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

Characterizing Physicians Practice Phenotype from Unstructured Electronic Health Records.

Sanjoy Dey, Yajuan Wang, Roy J. Byrd, Kenney Ng, Steven R. Steinhubl, Christopher deFilippi, Walter F. Stewart

Proceedings of the AMIA 2016, 2016

Watson Cognitive Computing for Electronic Medical Records.

Murthy V. Devarakonda, Neil Mehta, Christopher Nielson, Kenney Ng, Preethi Raghavan

Proceedings of the AMIA 2016, 2016

2015

Curating and Integrating Data from Multiple Sources to Support Healthcare Analytics.

Kenney Ng, Chris Kakkanatt, Michael Benigno, Clay Thompson, Margaret Jackson, Amos Cahan, Xinxin Zhu, Ping Zhang, Paul Huang

Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015

Early detection of heart failure with varying prediction windows by structured and unstructured data in electronic health records.

Yajuan Wang, Kenney Ng, Roy J. Byrd, Jianying Hu, Shahram Ebadollahi, Zahra Daar, Christopher deFilippi, Steven R. Steinhubl, Walter F. Stewart

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Early Detection of Heart Failure using Data Driven Modeling Approaches on Electronic Health Records: How far can one go without Domain Knowledge?

Kenney Ng, Yajuan Wang, Jianying Hu, Walter F. Stewart, Steven R. Steinhubl, Christopher deFilippi

Proceedings of the AMIA 2015, 2015

Towards Cognitive Automation of Data Science.

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

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

PARAMO: A PARAllel predictive MOdeling platform for healthcare analytic research using electronic health records.

Kenney Ng, Amol Ghoting, Steven R. Steinhubl, Walter F. Stewart, Bradley A. Malin, Jimeng Sun

J. Biomed. Informatics, 2014

2011

Auto-Grouping Emails For Faster E-Discovery.

Sachindra Joshi, Danish Contractor, Kenney Ng, Prasad M. Deshpande, Thomas Hampp

Proc. VLDB Endow., 2011

2000

Subword-based approaches for spoken document retrieval.

Kenney Ng

PhD thesis, 2000

Subword-based approaches for spoken document retrieval.

Kenney Ng, Victor W. Zue

Speech Commun., 2000

Towards an integrated approach for spoken document retrieval.

Kenney Ng

Proceedings of the Sixth International Conference on Spoken Language Processing, 2000

Information fusion for spoken document retrieval.

Kenney Ng

Proceedings of the IEEE International Conference on Acoustics, 2000

1999

A Maximum Likelihood Ratio Information Retrieval Model.

Kenney Ng

Proceedings of The Eighth Text REtrieval Conference, 1999

1998

Towards robust methods for spoken document retrieval.

Kenney Ng

Proceedings of the 5th International Conference on Spoken Language Processing, Incorporating The 7th Australian International Speech Science and Technology Conference, Sydney Convention Centre, Sydney, Australia, 30th November, 1998

Phonetic recognition for spoken document retrieval.

Kenney Ng, Victor W. Zue

Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

1997

Subword unit representations for spoken document retrieval.

Kenney Ng, Victor W. Zue

Proceedings of the Fifth European Conference on Speech Communication and Technology, 1997

1996

Parametric trajectory models for speech recognition.

Herbert Gish, Kenney Ng

Proceedings of the 4th International Conference on Spoken Language Processing, 1996

1995

Reducing word error rate on conversational speech from the Switchboard corpus.

Philippe Jeanrenaud, Ellen Eide, Upendra V. Chaudhari, John W. McDonough, Kenney Ng, Man-Hung Siu, Herbert Gish

Proceedings of the 1995 International Conference on Acoustics, 1995

1994

Approaches to topic identification on the switchboard corpus.

John W. McDonough, Kenney Ng, Philippe Jeanrenaud, Herbert Gish, Jan Robin Rohlicek

Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994

1993

Phonetic-based word spotter: various configurations and application to event spotting.

Philippe Jeanrenaud, Kenney Ng, Man-Hung Siu, Jan Robin Rohlicek, Herbert Gish

Proceedings of the Third European Conference on Speech Communication and Technology, 1993

Phonetic training and language modeling for word spotting.

Jan Robin Rohlicek, Philippe Jeanrenaud, Kenney Ng, Herbert Gish, Bruce R. Musicus, Man-Hung Siu

Proceedings of the IEEE International Conference on Acoustics, 1993

A segmental speech model with applications to word spotting.

Herbert Gish, Kenney Ng

Proceedings of the IEEE International Conference on Acoustics, 1993

1992

Secondary processing using speech segments for an HMM word spotting system.

Herbert Gish, Kenney Ng, Jan Robin Rohlicek

Proceedings of the Second International Conference on Spoken Language Processing, 1992

Robust mapping of noisy speech parameters for HMM word spotting.

Kenney Ng, Herbert Gish, Jan Robin Rohlicek

Proceedings of the 1992 IEEE International Conference on Acoustics, 1992

1990

Practical Characteristics of Neural Network and Conventional Patterns Classifiers.

Kenney Ng, Richard Lippmann

Proceedings of the Advances in Neural Information Processing Systems 3, 1990