| Title | Date | Type | Setname | ||
|---|---|---|---|---|---|
| 1 |
 |
Artificial Intelligence in Neuro-Ophthalmology: What the Future Holds | 2021-02 | Text | ehsl_novel_nam |
| 2 |
 |
Artificial Intelligence in Neuro-Ophthalmology: What the Future Holds | 2021-02 | Text | ehsl_novel_nam |
| 3 |
 |
Artificial Intelligence in Retinal Imaging | 2019-03 | Text | ehsl_novel_nam |
| 4 |
 |
Artificial Intelligence in Retinal Imaging | 2019-03 | Text | ehsl_novel_nam |
| 5 |
 |
Big Data in Neuro-Ophthalmology: International Classification of Diseases Codes | 2022-03 | Text | ehsl_novel_jno |
| 6 |
 |
Evaluating the efficacy of regression and machine learning models to predict prehistoric land-use patterns | 2019 | Image/StillImage | ir_su |
| 7 |
 |
Kernels and geometry of machine learning | 2017 | Text | ir_etd |
| 8 |
 |
Medical knowledge acquisition using biomedical knowledge resources for disease-specific ontologies | 2017 | Text | ir_etd |
| 9 |
 |
Predicting heating demand and sizing a stratified thermal storage tank using deep learning algorithms | 2018 | Text | ir_uspace |