James Codella
James Codella
Senior Product Manager, Microsoft
Потвърден имейл адрес: microsoft.com
A broader study of cross-domain few-shot learning
Y Guo, NC Codella, L Karlinsky, JV Codella, JR Smith, K Saenko, ...
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
FoodKG: a semantics-driven knowledge graph for food recommendation
S Haussmann, O Seneviratne, Y Chen, Y Ne’eman, J Codella, CH Chen, ...
The Semantic Web–ISWC 2019: 18th International Semantic Web Conference …, 2019
An Agent-based Simulation Model for Clostridium difficile Infection Control
J Codella, N Safdar, R Heffernan, O Alagoz
Medical Decision Making 35 (2), 211-229, 2015
A new benchmark for evaluation of cross-domain few-shot learning
Y Guo, NCF Codella, L Karlinsky, JV Codella, JR Smith, T Rosing, R Feris
arXiv preprint arXiv:1912.07200, 2019
Data quality challenges for person-generated health and wellness data
J Codella, C Partovian, HY Chang, CH Chen
IBM Journal of Research and Development 62 (1), 3: 1-3: 8, 2018
Changes to physician and nurse time burdens when caring for patients under contact precautions
AK Barker, J Codella, T Ewers, A Dundon, O Alagoz, N Safdar
American journal of infection control 45 (5), 542-543, 2017
An adaptive, data-driven personalized advisor for increasing physical activity
Z Li, S Das, J Codella, T Hao, K Lin, C Maduri, CH Chen
IEEE journal of biomedical and health informatics 23 (3), 999-1010, 2018
Input data correction
HY Chang, JV Codella, S Das
US Patent 10,585,739, 2020
EXITs: An ensemble approach for imputing missing EHR data
J Codella, H Sarker, P Chakraborty, M Ghalwash, Z Yao, D Sow
2019 IEEE international conference on healthcare informatics (ICHI), 1-3, 2019
Agent-based modeling to evaluate nosocomial COVID-19 infections and related policies
Y Park, I Sylla, AK Das, J Codella
nature 3 (4), 2021
Blending knowledge in deep recurrent networks for adverse event prediction at hospital discharge
P Chakraborty, J Codella, P Madan, Y Li, H Huang, Y Park, C Yan, ...
AMIA Summits on Translational Science Proceedings 2021, 132, 2021
Foodkg enabled q&a application
S Haussmann, Y Chen, O Seneviratne, N Rastogi, J Codella, CH Chen, ...
ISWC Satellite Tracks, 2019
Personalized intervention based on machine learning of behavior change states
M Angelopoulos, S Ebadollahi, ST Sill, M Rosen-Zvi, CH Chen, ...
US Patent 11,132,920, 2021
A personalized pacing system for real-time physical activity advising
HY Chang, Z Li, S Das, T Hao, C Maduri, C Partovian, J Codella, ...
2017 IEEE/ACM International Conference on Connected Health: Applications …, 2017
Phenotypical ontology driven framework for multi-task learning
M Ghalwash, Z Yao, P Chakraporty, J Codella, D Sow
Proceedings of the Conference on Health, Inference, and Learning, 183-192, 2021
Visually exploring contrastive explanation for diagnostic risk prediction on electronic health records
BC Kwon, P Chakraborty, J Codella, A Dhurandhar, D Sow, K Ng
Proceedings of the ICML 2020 Workshop on Human Interpretability in Machine …, 2020
Adaptive adjustment using sensor data and distributed data
HY Chang, CH Chen, JV Codella, PY Hsueh, X Hu
US Patent 11,228,613, 2022
Input data correction
HY Chang, JV Codella, S Das
US Patent 11,119,842, 2021
ODVICE: An Ontology-Driven Visual Analytic Tool for Interactive Cohort Extraction
M Ghalwash, Z Yao, P Chakrabotry, J Codella, D Sow
arXiv preprint arXiv:2005.06434, 2020
Biological neuron to electronic computer interface
CF Codella, JV Codella, NC Codella, VS Siu
US Patent 12,001,942, 2024
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