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Kenney Ng
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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 - [i10]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:
Multi-view biomedical foundation models for molecule-target and property prediction. CoRR abs/2410.19704 (2024) - 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
Identifying patterns in amyotrophic lateral sclerosis progression from sparse longitudinal data. Nat. Comput. Sci. 2(9): 605-616 (2022) - [j14]Marcus D. R. Klarqvist
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
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
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
Disease network delineates the disease progression profile of cardiovascular diseases. J. Biomed. Informatics 115: 103686 (2021) - [j10]Saaket Agrawal
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
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
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
Identifying unreliable predictions in clinical risk models. npj Digit. Medicine 3 (2020) - [j7]Bin Liu
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
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
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
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
Generative Oversampling with a Contrastive Variational Autoencoder. ICDM 2019: 101-109 - [c26]Sanjoy Dey, Ping Zhang
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
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
Clustervision: Visual Supervision of Unsupervised Clustering. IEEE Trans. Vis. Comput. Graph. 24(1): 142-151 (2018) - [c25]Bin Liu
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
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
Curating and Integrating Data from Multiple Sources to Support Healthcare Analytics. MedInfo 2015: 1056 - 2014
- [j3]Kenney Ng
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
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
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
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 2024-12-01 00:16 CET by the dblp team
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