Christopher Lee-Messer

According to our database, Christopher Lee-Messer authored at least 15 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An Explainable and Actionable Mistrust Scoring Framework for Model Monitoring.

Nandita Bhaskhar, Daniel L. Rubin, Christopher Lee-Messer

IEEE Trans. Artif. Intell., April, 2024

Towards trustworthy seizure onset detection using workflow notes.

Khaled Saab, Siyi Tang, Mohamed Taha, Christopher Lee-Messer, Christopher Ré, Daniel L. Rubin

npj Digit. Medicine, 2024

2023

ATCON: Attention Consistency for Vision Models.

Ali Mirzazadeh, Florian Dubost, Maxwell Pike, Krish Maniar, Max Zuo, Christopher Lee-Messer, Daniel L. Rubin

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.

Florian Dubost, Erin Hong, Siyi Tang, Nandita Bhaskhar, Christopher Lee-Messer, Daniel L. Rubin

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.

Siyi Tang, Jared A. Dunnmon, Liangqiong Qu, Khaled Kamal Saab, Tina Baykaner, Christopher Lee-Messer, Daniel L. Rubin

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.

Siyi Tang, Jared A. Dunnmon, Liangqiong Qu, Khaled Kamal Saab, Christopher Lee-Messer, Daniel L. Rubin

CoRR, 2022

TRUST-LAPSE: An Explainable & Actionable Mistrust Scoring Framework for Model Monitoring.

Nandita Bhaskhar, Daniel L. Rubin, Christopher Lee-Messer

CoRR, 2022

Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis.

Siyi Tang, Jared Dunnmon, Khaled Kamal Saab, Xuan Zhang, Qianying Huang, Florian Dubost, Daniel L. Rubin, Christopher Lee-Messer

Proceedings of the Tenth International Conference on Learning Representations, 2022

Domino: Discovering Systematic Errors with Cross-Modal Embeddings.

Sabri Eyuboglu, Maya Varma, Khaled Kamal Saab, Jean-Benoit Delbrouck, Christopher Lee-Messer, Jared Dunnmon, James Zou, Christopher Ré

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Automated Detection of Patients in Hospital Video Recordings.

Siddharth Sharma, Florian Dubost, Christopher Lee-Messer, Daniel L. Rubin

CoRR, 2021

Double Descent Optimization Pattern and Aliasing: Caveats of Noisy Labels.

Florian Dubost, Khaled Kamal Saab, Erin Hong, Daniel Yang Fu, Max Pike, Siddharth Sharma, Siyi Tang, Nandita Bhaskhar, Christopher Lee-Messer, Daniel L. Rubin

CoRR, 2021

Automated Seizure Detection and Seizure Type Classification From Electroencephalography With a Graph Neural Network and Self-Supervised Pre-Training.

Siyi Tang, Jared A. Dunnmon, Khaled Saab, Xuan Zhang, Qianying Huang, Florian Dubost, Daniel L. Rubin, Christopher Lee-Messer

CoRR, 2021

2020

Cross-Modal Data Programming Enables Rapid Medical Machine Learning.

Jared A. Dunnmon, Alexander J. Ratner, Khaled Saab, Nishith Khandwala, Matthew Markert, Hersh Sagreiya, Roger E. Goldman, Christopher Lee-Messer, Matthew P. Lungren, Daniel L. Rubin, Christopher Ré

Patterns, 2020

Weak supervision as an efficient approach for automated seizure detection in electroencephalography.

Khaled Saab, Jared Dunnmon, Christopher Ré, Daniel L. Rubin, Christopher Lee-Messer

npj Digit. Medicine, 2020

Let's Hope it Works! Inaccurate Supervision of Neural Networks with Incorrect Labels: Application to Epilepsy.

Florian Dubost, Erin Hong, Daniel Y. Fu, Nandita Bhaskhar, Siyi Tang, Khaled Saab, Daniel L. Rubin, Jared Dunnmon, Christopher Lee-Messer

CoRR, 2020