Dynamic-graph representation models for seizure prediction from EEG
Event details
| Date | 15.09.2022 |
| Hour | 10:00 › 12:00 |
| Speaker | William Cappelletti |
| Location | |
| Category | Conferences - Seminars |
EDIC candidacy exam
Exam president: Prof. Mahsa Shoaran
Thesis advisor: Prof. Pascal Frossard
Co-examiner: Prof. Pierre Vandergheynst
Abstract
coming soon
Background papers
- C. Shang, J. Chen, and J. Bi, “Discrete Graph Structure Learning for Forecasting Multiple Time Series,” presented at the International Conference on Learning Representations, Feb. 2022. Available: https://openreview.net/forum?id=WEHSlH5mOk
- K. Yamada and Y. Tanaka, “Temporal Multiresolution Graph Learning,” IEEE Access, vol. 9, pp. 143734–143745, 2021, doi: 10.1109/ACCESS.2021.3120994.
- S. Tang et al, “Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis,” presented at the International Conference on Learning Representations, Sep. 2021. Available: https://openreview.net/forum?id=k9bx1EfHI_-
Exam president: Prof. Mahsa Shoaran
Thesis advisor: Prof. Pascal Frossard
Co-examiner: Prof. Pierre Vandergheynst
Abstract
coming soon
Background papers
- C. Shang, J. Chen, and J. Bi, “Discrete Graph Structure Learning for Forecasting Multiple Time Series,” presented at the International Conference on Learning Representations, Feb. 2022. Available: https://openreview.net/forum?id=WEHSlH5mOk
- K. Yamada and Y. Tanaka, “Temporal Multiresolution Graph Learning,” IEEE Access, vol. 9, pp. 143734–143745, 2021, doi: 10.1109/ACCESS.2021.3120994.
- S. Tang et al, “Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis,” presented at the International Conference on Learning Representations, Sep. 2021. Available: https://openreview.net/forum?id=k9bx1EfHI_-
Practical information
- General public
- Free