Master Thesis
Deep Learning and Transfer Learning in EEG Saliency Detection
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Ts Tcc | 226 | 9 months ago | 1 | Python | ||||||
| [IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting" | ||||||||||
| Adatime | 77 | a year ago | mit | Python | ||||||
| [TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data | ||||||||||
| Adast | 23 | 8 months ago | apache-2.0 | Python | ||||||
| [IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training" | ||||||||||
| Eeg Self Supervision | 15 | 10 months ago | mit | Python | ||||||
| Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability". Accepted at ML4H Symposium 2021 with an oral spotlight! | ||||||||||
| Master Thesis | 5 | 6 years ago | mit | Python | ||||||
| Deep Learning and Transfer Learning in EEG Saliency Detection | ||||||||||
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