A Personalized Pacing System for Real-Time Physical Activity Advising. - Hung-Yang Chang; Zhiguo Li; Subhro Das; Tian Hao; Chandramouli Maduri; Chohreh Partovian; James V. Codella; Ching-Hua Chen (CHASE, 2017)

Data quality challenges for person-generated health and wellness data. - James V. Codella; Chohreh Partovian; H.-Y. Chang; Ching-Hua Chen (IBM J. Res. Dev., 2018)

eXITs: An Ensemble Approach for Imputing Missing EHR Data. - James V. Codella; Hillol Sarker; Prithwish Chakraborty; Mohamed F. Ghalwash; Zijun Yao 001; Daby Sow (ICHI, 2019)

FoodKG Enabled Q&A Application. - Steven Haussmann; Yu Chen 022; Oshani Seneviratne; Nidhi Rastogi; James V. Codella; Ching-Hua Chen; Deborah L. McGuinness; Mohammed J. Zaki (ISWC (Satellites), 2019)

FoodKG: A Semantics-Driven Knowledge Graph for Food Recommendation. - Steven Haussmann; Oshani Seneviratne; Yu Chen 022; Yarden Ne'eman; James V. Codella; Ching-Hua Chen; Deborah L. McGuinness; Mohammed J. Zaki (ISWC (2), 2019)

An Adaptive, Data-Driven Personalized Advisor for Increasing Physical Activity. - Zhiguo Li; Subhro Das; James V. Codella; Tian Hao; Kun Lin; Chandramouli Maduri; Ching-Hua Chen (IEEE J. Biomed. Health Informatics, 2019)

A Broader Study of Cross-Domain Few-Shot Learning. - Yunhui Guo; Noel Codella; Leonid Karlinsky; James V. Codella; John R. Smith; Kate Saenko; Tajana Rosing; Rogério Feris (ECCV (27), 2020)

ODVICE: An Ontology-Driven Visual Analytic Tool for Interactive Cohort Extraction. - Mohamed F. Ghalwash; Zijun Yao 001; Prithwish Chakraborty; James V. Codella; Daby Sow (CoRR, 2020)

A Canonical Architecture For Predictive Analytics on Longitudinal Patient Records. - 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; et al. (CoRR, 2020)

Phenotypical ontology driven framework for multi-task learning. - Mohamed F. Ghalwash; Zijun Yao 001; Prithwish Chakraborty; James V. Codella; Daby Sow (CHIL, 2021)

Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge. - Prithwish Chakraborty; James V. Codella; Piyush Madan; Ying Li 053; Hu Huang 004; Yoonyoung Park; Chao Yan 004; Ziqi Zhang 005; Cheng Gao; Steve Nyemba; Xu Min; Sanjib Basak; et al. (CoRR, 2021)