| 2024 |
Deep learning models for common disease detection and localization in chest X-ray images |
Guan-Hua Huang |
Principal Investigator |
2024.08 ~ 2025.07 |
National Science and Technology Council |
| 2024 |
Prognostic Evaluation for Survival Models with Long-Term Survivors: Innovative C-Statistics |
Weijing Wang |
Principal Investigator |
2024.08 ~ 2025.07 |
National Science and Technology Council |
| 2024 |
Constructing control charts based on auxiliary data with an application to COVID-19 data |
Hsiuying Wang |
Principal Investigator |
2024.08 ~ 2026.07 |
National Science and Technology Council |
| 2024 |
Assessment of Agreement Depending on Exogeneous Random Variables |
Chu-Lan Kao |
Principal Investigator |
2024.08 ~ 2026.07 |
National Science and Technology Council |
| 2023 |
Development of causal machine learning model to investigate pathological mechanism of Parkinson’s Disease mediated and moderated by genomic, transcriptomic, and intestinal microbiomic factors. |
Sheng-Hsuan Lin
|
PI |
2023.09 ~ 2023.12 |
Ministry of Education |
| 2023 |
Mathemusical - Population Science Musical Project (III) |
Chu-Lan Kao |
Principal Investigator |
2023.08 ~ 2024.07 |
National Science and Technology Council |
| 2023 |
Research project for “artificial intelligence for financial science and technology (3rd period)” |
Sheng-Hsuan Lin |
Co-PI |
2023.08 ~ 2025.07 |
E.SUN Bank |
| 2023 |
Statistical Analysis for COVID-19 Research |
Weijing Wang |
Principal Investigator |
2023.08 ~ 2024.10 |
National Science and Technology Council |
| 2023 |
Course development for causal inference theory-Enhancing media literacy education by applying qualitative causal inference to the criticism of false causal messages |
Sheng-Hsuan Lin |
PI |
2023.08 ~ 2024.07 |
Ministry of Education |
| 2023 |
Promoting the reputation and influence of domestic statistics discipline: IASC-ARS Executive Secretary's implementation plan |
Sheng-Hsuan Lin
|
PI |
2023.07 ~ 2023.12 |
National Science and Technology Council |
