James V. Codella

Publication Activity (10 Years)

Years Active: 2017-2021
Publications (10 Years): 12

Top Topics

Ontology Driven

Physical Activity

Multitask Learning

Visual Representations

Top Venues

IEEE J. Biomed. Health Informatics

Publications

Mohamed F. Ghalwash, Zijun Yao, Prithwish Chakraborty, James V. Codella, Daby Sow
Phenotypical ontology driven framework for multi-task learning. CHIL (2021)
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 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
Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge. CoRR (2021)
Yunhui Guo, Noel Codella, Leonid Karlinsky, James V. Codella, John R. Smith, Kate Saenko, Tajana Rosing, Rogério Feris
A Broader Study of Cross-Domain Few-Shot Learning. ECCV (27) (2020)
Mohamed F. Ghalwash, Zijun Yao, Prithwish Chakraborty, James V. Codella, Daby Sow
ODVICE: An Ontology-Driven Visual Analytic Tool for Interactive Cohort Extraction. CoRR (2020)
Parthasarathy Suryanarayanan, Bhavani Iyer, Prithwish Chakraborty, Bibo Hao, Italo Buleje, Piyush Madan, James V. Codella, Antonio Foncubierta, Divya Pathak, Sarah Miller, Amol Rajmane, Shannon Harrer, Gigi Yuan-Reed, Daby Sow
A Canonical Architecture For Predictive Analytics on Longitudinal Patient Records. CoRR (2020)
Mohamed F. Ghalwash, Zijun Yao, Prithwish Chakraborty, James V. Codella, Daby Sow
Phenotypical Ontology Driven Framework for Multi-Task Learning. CoRR (2020)
Zhiguo Li, Subhro Das, James V. Codella, Tian Hao, Kun Lin, Chandramouli Maduri, Ching-Hua Chen
An Adaptive, Data-Driven Personalized Advisor for Increasing Physical Activity. IEEE J. Biomed. Health Informatics 23 (3) (2019)
Steven Haussmann, Oshani Seneviratne, Yu Chen, Yarden Ne'eman, James V. Codella, Ching-Hua Chen, Deborah L. McGuinness, Mohammed J. Zaki
FoodKG: A Semantics-Driven Knowledge Graph for Food Recommendation. ISWC (2) (2019)
James V. Codella, Hillol Sarker, Prithwish Chakraborty, Mohamed F. Ghalwash, Zijun Yao, Daby Sow
eXITs: An Ensemble Approach for Imputing Missing EHR Data. ICHI (2019)
Steven Haussmann, Yu Chen, Oshani Seneviratne, Nidhi Rastogi, James V. Codella, Ching-Hua Chen, Deborah L. McGuinness, Mohammed J. Zaki
FoodKG Enabled Q&A Application. ISWC (Satellites) (2019)
James V. Codella, Chohreh Partovian, H.-Y. Chang, Ching-Hua Chen
Data quality challenges for person-generated health and wellness data. IBM J. Res. Dev. 62 (1) (2018)
Hung-Yang Chang, Zhiguo Li, Subhro Das, Tian Hao, Chandramouli Maduri, Chohreh Partovian, James V. Codella, Ching-Hua Chen
A Personalized Pacing System for Real-Time Physical Activity Advising. CHASE (2017)