| 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 | 383 | 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 | 192 | 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 | 71 | 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 | 56 | 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 | 51 | 2018 |
| Input data correction HY Chang, JV Codella, S Das US Patent 10,585,739, 2020 | 18 | 2020 |
| 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 | 18 | 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 | 18 | 2017 |
| 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 | 9 | 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 | 8 | 2021 |
| Adaptive adjustment using sensor data and distributed data HY Chang, CH Chen, JV Codella, PY Hsueh, X Hu US Patent 11,228,613, 2022 | 6 | 2022 |
| 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 | 6 | 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 | 6 | 2021 |
| Foodkg enabled q&a application S Haussmann, Y Chen, O Seneviratne, N Rastogi, J Codella, CH Chen, ... ISWC Satellite Tracks, 2019 | 6 | 2019 |
| 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 | 4 | 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 | 3 | 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 | 3 | 2020 |
| System for generating specialized phenotypical embedding M Ghalwash, YAO Zijun, P Chakraborty, JV Codella, DM Sow US Patent 11,681,726, 2023 | 1 | 2023 |
| 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 | 1 | 2020 |
| Optimal control of healthcare-associated C. difficile infection JV Codella The University of Wisconsin-Madison, 2014 | 1 | 2014 |