Christopher Lee-Messer
According to our database1,
Christopher Lee-Messer
authored at least 16 papers
between 2020 and 2024.
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Bibliography
2024
IEEE Trans. Artif. Intell., April, 2024
npj Digit. Medicine, 2024
2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Semi-Supervised Learning for Sparsely-Labeled Sequential Data: Application to Healthcare Video Processing.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models.
Proceedings of the Conference on Health, Inference, and Learning, 2023
2022
Spatiotemporal Modeling of Multivariate Signals With Graph Neural Networks and Structured State Space Models.
CoRR, 2022
TRUST-LAPSE: An Explainable & Actionable Mistrust Scoring Framework for Model Monitoring.
CoRR, 2022
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
CoRR, 2021
Automated Seizure Detection and Seizure Type Classification From Electroencephalography With a Graph Neural Network and Self-Supervised Pre-Training.
CoRR, 2021
2020
Weak supervision as an efficient approach for automated seizure detection in electroencephalography.
npj Digit. Medicine, 2020
Let's Hope it Works! Inaccurate Supervision of Neural Networks with Incorrect Labels: Application to Epilepsy.
CoRR, 2020