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2020 – today
- 2024
[c44]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:
SPARK: Harnessing Human-Centered Workflows with Biomedical Foundation Models for Drug Discovery. IJCAI 2024: 8713-8716- 2023
- [i9]Bum Chul Kwon, Samuel F. Friedman, Kai Xu, Steven A. Lubitz, Anthony Philippakis, Puneet Batra, Patrick T. Ellinor, Kenney Ng:
Latent Space Explorer: Visual Analytics for Multimodal Latent Space Exploration. CoRR abs/2312.00857 (2023) - 2022
- [j15]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:
Identifying patterns in amyotrophic lateral sclerosis progression from sparse longitudinal data. Nat. Comput. Sci. 2(9): 605-616 (2022) - [j14]Marcus D. R. Klarqvist, Saaket Agrawal, Nathaniel Diamant, Patrick T. Ellinor, Anthony Philippakis, Kenney Ng, Puneet Batra, Amit V. Khera:
Silhouette images enable estimation of body fat distribution and associated cardiometabolic risk. npj Digit. Medicine 5 (2022) - [j13]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:
Human-centered explainability for life sciences, healthcare, and medical informatics. Patterns 3(5): 100493 (2022) - [c43]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:
Assessing the Robustness and Internal Consistency of the Pooled Cohort Equations. AMIA 2022 - [c42]Uri Kartoun, Paul Myers, Kristen A. Severson, Wangzhi Dai, Kenney Ng, Collin M. Stultz:
Feature Selection Based on Subpopulations and Propensity Score Matching: A Coronary Artery Disease Use Case using the UK Biobank. AMIA 2022 - [c41]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:
RMExplorer: A Visual Analytics Approach to Explore the Performance and the Fairness of Disease Risk Models on Population Subgroups. IEEE VIS (Short Papers) 2022: 50-54 - [i8]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:
RMExplorer: A Visual Analytics Approach to Explore the Performance and the Fairness of Disease Risk Models on Population Subgroups. CoRR abs/2209.06378 (2022) - 2021
- [j12]Paul C. Tang, Sarah Miller, Harry Stavropoulos, Uri Kartoun, John Zambrano, Kenney Ng:
Precision population analytics: population management at the point-of-care. J. Am. Medical Informatics Assoc. 28(3): 588-595 (2021) - [j11]Zefang Tang, Yiqin Yu, Kenney Ng, Daby Sow, Jianying Hu, Jing Mei:
Disease network delineates the disease progression profile of cardiovascular diseases. J. Biomed. Informatics 115: 103686 (2021) - [j10]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:
Selection of 51 predictors from 13, 782 candidate multimodal features using machine learning improves coronary artery disease prediction. Patterns 2(12): 100364 (2021) - [j9]Bum Chul Kwon, Vibha Anand, Kristen A. Severson, Soumya Ghosh, Zhaonan Sun, Brigitte I. Frohnert, Markus Lundgren, Kenney Ng:
DPVis: Visual Analytics With Hidden Markov Models for Disease Progression Pathways. IEEE Trans. Vis. Comput. Graph. 27(9): 3685-3700 (2021) - [c40]Raluca Cobzaru, Sharon Jiang, Kenney Ng, Stan Finkelstein, Roy Welsch, Zachary Shahn:
State of the Art Causal Inference in the Presence of Extraneous Covariates: A Simulation Study. AMIA 2021 - [c39]Sanjoy Dey, Aritra Bose, Subrata Saha, Prithwish Chakraborty, Mohamed F. Ghalwash, Filippo Utro, Aldo Guzmán-Sáenz, Kenney Ng, Jianying Hu, Laxmi Parida, Daby Sow:
Impact of Clinical and Genomic Factors on COVID-19 Disease Severity. AMIA 2021 - [c38]Uri Kartoun, Shaan Khurshid, Bum Chul Kwon, Amit V. Khera, Patrick T. Ellinor, Steven A. Lubitz, Kenney Ng:
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 2021 - [c37]Bum Chul Kwon, Uri Kartoun, Shaan Khurshid, Amit V. Khera, Patrick T. Ellinor, Steven A. Lubitz, Kenney Ng:
Interactive Model Report Card for Visual Exploration of Performance Heterogeneity and Biases on Population Subgroups. AMIA 2021 - [c36]Meet P. Vadera, Soumya Ghosh, Kenney Ng, Benjamin M. Marlin:
Post-hoc loss-calibration for Bayesian neural networks. UAI 2021: 1403-1412 - [i7]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:
Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge. CoRR abs/2104.04377 (2021) - [i6]Meet P. Vadera, Soumya Ghosh, Kenney Ng, Benjamin M. Marlin:
Post-hoc loss-calibration for Bayesian neural networks. CoRR abs/2106.06997 (2021) - 2020
- [j8]Paul Myers, Kenney Ng, Kristen A. Severson, Uri Kartoun, Wangzhi Dai, Wei Huang, Fred Anderson, Collin M. Stultz:
Identifying unreliable predictions in clinical risk models. npj Digit. Medicine 3 (2020) - [j7]Bin Liu, Ying Li, Soumya Ghosh, Zhaonan Sun, Kenney Ng, Jianying Hu:
Complication Risk Profiling in Diabetes Care: A Bayesian Multi-Task and Feature Relationship Learning Approach. IEEE Trans. Knowl. Data Eng. 32(7): 1276-1289 (2020) - [c35]Mohamed F. Ghalwash, Vibha Anand, Kenney Ng, Jessica L. Dunne, Markus Lundgren, Marian Rewers, Riitta Veijola:
Leveraging Longitudinal Autoantibody for Phenotyping of Progression Rates to Type 1 Diabetes. AMIA 2020 - [c34]Bum Chul Kwon, Peter Achenbach, Jessica L. Dunne, William Hagopian, Markus Lundgren, Kenney Ng, Riitta Veijola, Brigitte I. Frohnert, Vibha Anand:
Modeling Disease Progression Trajectories from Longitudinal Observational Data. AMIA 2020 - [c33]Ying Li, Bin Liu, Vibha Anand, Markus Lundgren, Kenney Ng, Marian Rewers, Riitta Veijola, Mohamed F. Ghalwash:
Predicting Type 1 Diabetes Onset using Novel Survival Analysis with Biomarker Ontology. AMIA 2020 - [c32]Bin Liu, Ying Li, Kenney Ng:
Prognostication and Outcome-specific Risk Factor Identification for Diabetes Care via Private-shared Multi-task Learning. IEEE BigData 2020: 1186-1195 - [c31]Zefang Tang, Lun Hu, Xu Min, Yuan Zhang, Jing Mei, Kenney Ng, Shaochun Li, Pengwei Hu, Zhuhong You:
Embracing Disease Progression with a Learning System for Real World Evidence Discovery. ICIC (2) 2020: 524-534 - [c30]Prithwish Chakraborty, Bum Chul Kwon, Sanjoy Dey, Amit Dhurandhar, Daniel M. Gruen, Kenney Ng, Daby Sow, Kush R. Varshney:
Tutorial on Human-Centered Explainability for Healthcare. KDD 2020: 3547-3548 - [c29]Kristen A. Severson, Lana M. Chahine, Luba Smolensky, Kenney Ng, Jianying Hu, Soumya Ghosh:
Personalized Input-Output Hidden Markov Models for Disease Progression Modeling. MLHC 2020: 309-330 - [i5]Yiqin Yu, Xu Min, Shiwan Zhao, Jing Mei, Fei Wang, Dongsheng Li, Kenney Ng, Shaochun Li:
Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning. CoRR abs/2007.12355 (2020) - [i4]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:
Modeling Disease Progression Trajectories from Longitudinal Observational Data. CoRR abs/2012.05324 (2020)
2010 – 2019
- 2019
- [c28]Kristen A. Severson, Soumya Ghosh, Kenney Ng:
Unsupervised Learning with Contrastive Latent Variable Models. AAAI 2019: 4862-4869 - [c27]Wangzhi Dai, Kenney Ng, Kristen A. Severson, Wei Huang, Fred Anderson, Collin M. Stultz:
Generative Oversampling with a Contrastive Variational Autoencoder. ICDM 2019: 101-109 - [c26]Sanjoy Dey, Ping Zhang, Daby Sow, Kenney Ng:
PerDREP: Personalized Drug Effectiveness Prediction from Longitudinal Observational Data. KDD 2019: 1258-1268 - [i3]Bum Chul Kwon, Vibha Anand, Kristen A. Severson, Soumya Ghosh, Zhaonan Sun, Brigitte I. Frohnert, Markus Lundgren, Kenney Ng:
DPVis: Visual Exploration of Disease Progression Pathways. CoRR abs/1904.11652 (2019) - 2018
- [j6]Ching-Hua Chen, Kenney Ng:
Preface: User-generated health data and applications. IBM J. Res. Dev. 62(1): 1-3 (2018) - [j5]Chris Kakkanatt, Michael Benigno, Margaret Jackson, Paul Huang, Kenney Ng:
Curating and integrating user-generated health data from multiple sources to support healthcare analytics. IBM J. Res. Dev. 62(1): 2:1-2:7 (2018) - [j4]Bum Chul Kwon, Ben Eysenbach, Janu Verma, Kenney Ng, Christopher deFilippi, Walter F. Stewart, Adam Perer:
Clustervision: Visual Supervision of Unsupervised Clustering. IEEE Trans. Vis. Comput. Graph. 24(1): 142-151 (2018) - [c25]Bin Liu, Ying Li, Zhaonan Sun, Soumya Ghosh, Kenney Ng:
Early Prediction of Diabetes Complications from Electronic Health Records: A Multi-Task Survival Analysis Approach. AAAI 2018: 101-108 - [c24]Sanjoy Dey, Ping Zhang, Kenney Ng:
Estimating Personalized Drug Effects with Longitudinal Observational Data. AMIA 2018 - [i2]Bin Liu, Ying Li, Soumya Ghosh, Zhaonan Sun, Kenney Ng, Jianying Hu:
Simultaneous Modeling of Multiple Complications for Risk Profiling in Diabetes Care. CoRR abs/1802.06476 (2018) - [i1]Kristen A. Severson, Soumya Ghosh, Kenney Ng:
Unsupervised learning with contrastive latent variable models. CoRR abs/1811.06094 (2018) - 2016
- [c23]Murthy V. Devarakonda, Neil Mehta, Christopher Nielson, Kenney Ng, Preethi Raghavan:
Watson Cognitive Computing for Electronic Medical Records. AMIA 2016 - [c22]Sanjoy Dey, Yajuan Wang, Roy J. Byrd, Kenney Ng, Steven R. Steinhubl, Christopher deFilippi, Walter F. Stewart:
Characterizing Physicians Practice Phenotype from Unstructured Electronic Health Records. AMIA 2016 - [c21]Josua Krause, Adam Perer, Kenney Ng:
Interacting with Predictions: Visual Inspection of Black-box Machine Learning Models. CHI 2016: 5686-5697 - [c20]Kenney Ng, Walter F. Stewart, Christopher deFilippi, Steven R. Steinhubl:
Data Driven Modeling of Electronic Health Record Data to Detect Pre-Diagnostic Heart Failure Subtypes in Primary Care. CRI 2016 - 2015
- [c19]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:
Towards Cognitive Automation of Data Science. AAAI 2015: 4268-4269 - [c18]Kenney Ng, Yajuan Wang, Jianying Hu, Walter F. Stewart, Steven R. Steinhubl, Christopher deFilippi:
Early Detection of Heart Failure using Data Driven Modeling Approaches on Electronic Health Records: How far can one go without Domain Knowledge? AMIA 2015 - [c17]Yajuan Wang, Kenney Ng, Roy J. Byrd, Jianying Hu, Shahram Ebadollahi, Zahra Daar, Christopher deFilippi, Steven R. Steinhubl, Walter F. Stewart:
Early detection of heart failure with varying prediction windows by structured and unstructured data in electronic health records. EMBC 2015: 2530-2533 - [c16]Kenney Ng, Chris Kakkanatt, Michael Benigno, Clay Thompson, Margaret Jackson, Amos Cahan, Xinxin Zhu, Ping Zhang, Paul Huang:
Curating and Integrating Data from Multiple Sources to Support Healthcare Analytics. MedInfo 2015: 1056 - 2014
- [j3]Kenney Ng, Amol Ghoting, Steven R. Steinhubl, Walter F. Stewart, Bradley A. Malin, Jimeng Sun:
PARAMO: A PARAllel predictive MOdeling platform for healthcare analytic research using electronic health records. J. Biomed. Informatics 48: 160-170 (2014) - 2011
- [j2]Sachindra Joshi, Danish Contractor, Kenney Ng, Prasad M. Deshpande, Thomas Hampp:
Auto-Grouping Emails For Faster E-Discovery. Proc. VLDB Endow. 4(12): 1284-1294 (2011)
2000 – 2009
- 2000
- [b1]Kenney Ng:
Subword-based approaches for spoken document retrieval. Massachusetts Institute of Technology, Cambridge, MA, USA, 2000 - [j1]Kenney Ng, Victor W. Zue:
Subword-based approaches for spoken document retrieval. Speech Commun. 32(3): 157-186 (2000) - [c15]Kenney Ng:
Information fusion for spoken document retrieval. ICASSP 2000: 2405-2408 - [c14]Kenney Ng:
Towards an integrated approach for spoken document retrieval. INTERSPEECH 2000: 672-675
1990 – 1999
- 1999
- [c13]Kenney Ng:
A Maximum Likelihood Ratio Information Retrieval Model. TREC 1999 - 1998
- [c12]Kenney Ng, Victor W. Zue:
Phonetic recognition for spoken document retrieval. ICASSP 1998: 325-328 - [c11]Kenney Ng:
Towards robust methods for spoken document retrieval. ICSLP 1998 - 1997
- [c10]Kenney Ng, Victor W. Zue:
Subword unit representations for spoken document retrieval. EUROSPEECH 1997: 1607-1610 - 1996
- [c9]Herbert Gish, Kenney Ng:
Parametric trajectory models for speech recognition. ICSLP 1996: 466-469 - 1995
- [c8]Philippe Jeanrenaud, Ellen Eide, Upendra V. Chaudhari, John W. McDonough, Kenney Ng, Man-Hung Siu, Herbert Gish:
Reducing word error rate on conversational speech from the Switchboard corpus. ICASSP 1995: 53-56 - 1994
- [c7]John W. McDonough, Kenney Ng, Philippe Jeanrenaud, Herbert Gish, Jan Robin Rohlicek:
Approaches to topic identification on the switchboard corpus. ICASSP (1) 1994: 385-388 - 1993
- [c6]Herbert Gish, Kenney Ng:
A segmental speech model with applications to word spotting. ICASSP (2) 1993: 447-450 - [c5]Jan Robin Rohlicek, Philippe Jeanrenaud, Kenney Ng, Herbert Gish, Bruce R. Musicus, Man-Hung Siu:
Phonetic training and language modeling for word spotting. ICASSP (2) 1993: 459-462 - [c4]Philippe Jeanrenaud, Kenney Ng, Man-Hung Siu, Jan Robin Rohlicek, Herbert Gish:
Phonetic-based word spotter: various configurations and application to event spotting. EUROSPEECH 1993: 1057-1060 - 1992
- [c3]Kenney Ng, Herbert Gish, Jan Robin Rohlicek:
Robust mapping of noisy speech parameters for HMM word spotting. ICASSP 1992: 109-112 - [c2]Herbert Gish, Kenney Ng, Jan Robin Rohlicek:
Secondary processing using speech segments for an HMM word spotting system. ICSLP 1992: 17-20 - 1990
- [c1]Kenney Ng, Richard Lippmann:
Practical Characteristics of Neural Network and Conventional Patterns Classifiers. NIPS 1990: 970-976
Coauthor Index
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last updated on 2024-10-22 20:15 CEST by the dblp team
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