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Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis., , , , , , , and . ICLR, OpenReview.net, (2022)Domino: Discovering Systematic Errors with Cross-Modal Embeddings., , , , , , , and . ICLR, OpenReview.net, (2022)Weak supervision as an efficient approach for automated seizure detection in electroencephalography., , , , and . npj Digit. Medicine, (2020)Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models., , , , , , and . CHIL, volume 209 of Proceedings of Machine Learning Research, page 50-71. PMLR, (2023)Double Descent Optimization Pattern and Aliasing: Caveats of Noisy Labels., , , , , , , , , and . CoRR, (2021)Cross-Modal Data Programming Enables Rapid Medical Machine Learning., , , , , , , , , and 1 other author(s). Patterns, 1 (2): 100019 (2020)ATCON: Attention Consistency for Vision Models., , , , , , and . WACV, page 1880-1889. IEEE, (2023)Towards trustworthy seizure onset detection using workflow notes., , , , , and . npj Digit. Medicine, (2024)Let's Hope it Works! Inaccurate Supervision of Neural Networks with Incorrect Labels: Application to Epilepsy., , , , , , , , and . CoRR, (2020)Semi-Supervised Learning for Sparsely-Labeled Sequential Data: Application to Healthcare Video Processing., , , , , and . WACV, page 1890-1899. IEEE, (2023)