| Predicting students' attention level with interpretable facial and head dynamic features in an online tutoring system (Student Abstract) S Peng, L Chen, C Gao, RJ Tong Proceedings of the AAAI Conference on Artificial Intelligence 34 (10), 13895 …, 2020 | 21 | 2020 |
| Augmenting LIDC dataset using 3D generative adversarial networks to improve lung nodule detection C Gao, S Clark, J Furst, D Raicu Medical Imaging 2019: Computer-Aided Diagnosis 10950, 398-407, 2019 | 20 | 2019 |
| MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement Z Wang, C Gao, C Xiao, J Sun arXiv preprint arXiv:2305.12081, 2023 | 19* | 2023 |
| Simple synthesis of new carbon-11-labeled 1, 2, 4-triazolo [4, 3-a] quinoxalin-1-one derivatives for PET imaging of A3 adenosine receptor M Gao, C Gao, M Wang, QH Zheng Applied Radiation and Isotopes 91, 71-78, 2014 | 10 | 2014 |
| Classifying unstructured clinical notes via automatic weak supervision C Gao, M Goswami, J Chen, A Dubrawski Machine Learning for Healthcare Conference, 673-690, 2022 | 8 | 2022 |
| Learning graph neural networks for multivariate time series anomaly detection S Ray, S Lakdawala, M Goswami, C Gao arXiv preprint arXiv:2111.08082, 2021 | 8 | 2021 |
| Artificial intelligence for in silico clinical trials: A review Z Wang, C Gao, LM Glass, J Sun arXiv preprint arXiv:2209.09023, 2022 | 7* | 2022 |
| Synthesis of carbon-11-labeled aminoalkylindole derivatives as new candidates of cannabinoid receptor radioligands for PET imaging of alcohol abuse M Gao, C Gao, M Wang, QH Zheng Bioorganic & Medicinal Chemistry Letters 24 (24), 5581-5586, 2014 | 7 | 2014 |
| DRG-LLaMA : tuning LLaMA model to predict diagnosis-related group for hospitalized patients H Wang, C Gao, C Dantona, B Hull, J Sun npj Digital Medicine 7 (1), 16, 2024 | 5 | 2024 |
| Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning C Gao, F Falck, M Goswami, A Wertz, MR Pinsky, A Dubrawski Neurips 2019 ML4H Workshop, 2019 | 3 | 2019 |
| PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming C Gao, X Fan, J Sun, X Wang arXiv preprint arXiv:2310.09265, 2023 | 1 | 2023 |
| An interpretable data augmentation framework for improving generative modeling of synthetic clinical trial data A Shafquat, J Mezey, M Beigi, J Sun, A Gao, JW Aptekar ICML 3rd Workshop on Interpretable Machine Learning in Healthcare (IMLH), 2023 | 1 | 2023 |
| Identification and Explanation of Severity of Bleeding-Induced Hypovolemia Using Unsupervised Deep Learning C Gao, A Dubrawski, MR Pinsky, G Clermont, JH Yoon TP55. TP055 MECHANICAL VENTILATION, ICU MANAGEMENT, AND CV, A2841-A2841, 2021 | 1 | 2021 |
| Modeling Involuntary Dynamic Behaviors to Support Intelligent Tutoring (Student Abstract) M Goswami, L Chen, C Gao, A Dubrawski Proceedings of the AAAI Conference on Artificial Intelligence 34 (10), 13799 …, 2020 | 1 | 2020 |
| Out of the box: Impact of active learning on future student performance C Gao The Journal of Purdue Undergraduate Research 8 (1), 38, 2018 | 1 | 2018 |
| A Reflection and Outlook on Clinical Adaption of Large Language Models H Wang, C Gao, J Sun AAAI 2024 Spring Symposium on Clinical Foundation Models, 2024 | | 2024 |
| HawkesVAE: Sequential Patient Event Synthesis for Clinical Trials C Gao, M Beigi, A Shafquat, J Sun | | 2023 |
| Addressing Time-series Signal Quality in Healthcare Data C Gao Carnegie Mellon University Robotics Institute, 2022 | | 2022 |
| Prediction of Hypovolemic Instability in Normal Volunteer Blood Donors Using Machine Learning JH Yoon, C Gao, J Kim, JH Kim, T Lagattuta, S Helman, M Hravnak, ... A41. SEPSIS/SHOCK, A1475-A1475, 2022 | | 2022 |
| Signal Quality Auditing for Time-series Data C Gao, N Gisolfi, A Dubrawski AAAI Fall Symposium - Predictive Maintenance, 2022 | | 2022 |
