Christopher Lee-Messer

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Video Recordings

Systematic Errors

Discriminative Classifiers

Top Venues

npj Digit. Medicine

Publications

Khaled Saab, Siyi Tang, Mohamed Taha, Christopher Lee-Messer, Christopher Ré, Daniel L. Rubin
Towards trustworthy seizure onset detection using workflow notes. npj Digit. Medicine 7 (1) (2024)
Nandita Bhaskhar, Daniel L. Rubin, Christopher Lee-Messer
An Explainable and Actionable Mistrust Scoring Framework for Model Monitoring. IEEE Trans. Artif. Intell. 5 (4) (2024)
Khaled Saab, Siyi Tang, Mohamed Taha, Christopher Lee-Messer, Christopher Ré, Daniel L. Rubin
Towards trustworthy seizure onset detection using workflow notes. CoRR (2023)
Siyi Tang, Jared A. Dunnmon, Liangqiong Qu, Khaled Kamal Saab, Tina Baykaner, Christopher Lee-Messer, Daniel L. Rubin
Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models. CHIL (2023)
Ali Mirzazadeh, Florian Dubost, Maxwell Pike, Krish Maniar, Max Zuo, Christopher Lee-Messer, Daniel Rubin
ATCON: Attention Consistency for Vision Models. WACV (2023)
Florian Dubost, Erin Hong, Siyi Tang, Nandita Bhaskhar, Christopher Lee-Messer, Daniel L. Rubin
Semi-Supervised Learning for Sparsely-Labeled Sequential Data: Application to Healthcare Video Processing. WACV (2023)
Siyi Tang, Jared A. Dunnmon, Liangqiong Qu, Khaled Kamal Saab, Christopher Lee-Messer, Daniel L. Rubin
Spatiotemporal Modeling of Multivariate Signals With Graph Neural Networks and Structured State Space Models. CoRR (2022)
Nandita Bhaskhar, Daniel L. Rubin, Christopher Lee-Messer
TRUST-LAPSE: An Explainable & Actionable Mistrust Scoring Framework for Model Monitoring. CoRR (2022)
Siyi Tang, Jared Dunnmon, Khaled Kamal Saab, Xuan Zhang, Qianying Huang, Florian Dubost, Daniel Rubin, Christopher Lee-Messer
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis. ICLR (2022)
Sabri Eyuboglu, Maya Varma, Khaled Saab, Jean-Benoit Delbrouck, Christopher Lee-Messer, Jared Dunnmon, James Zou, Christopher Ré
Domino: Discovering Systematic Errors with Cross-Modal Embeddings. CoRR (2022)
Sabri Eyuboglu, Maya Varma, Khaled Kamal Saab, Jean-Benoit Delbrouck, Christopher Lee-Messer, Jared Dunnmon, James Zou, Christopher Ré
Domino: Discovering Systematic Errors with Cross-Modal Embeddings. ICLR (2022)
Ali Mirzazadeh, Florian Dubost, Maxwell Pike, Krish Maniar, Max Zuo, Christopher Lee-Messer, Daniel Rubin
ATCON: Attention Consistency for Vision Models. CoRR (2022)
Siyi Tang, Jared A. Dunnmon, Khaled Saab, Xuan Zhang, Qianying Huang, Florian Dubost, Daniel L. Rubin, Christopher Lee-Messer
Automated Seizure Detection and Seizure Type Classification From Electroencephalography With a Graph Neural Network and Self-Supervised Pre-Training. CoRR (2021)
Siddharth Sharma, Florian Dubost, Christopher Lee-Messer, Daniel L. Rubin
Automated Detection of Patients in Hospital Video Recordings. CoRR (2021)
Florian Dubost, Khaled Kamal Saab, Erin Hong, Daniel Yang Fu, Max Pike, Siddharth Sharma, Siyi Tang, Nandita Bhaskhar, Christopher Lee-Messer, Daniel L. Rubin
Double Descent Optimization Pattern and Aliasing: Caveats of Noisy Labels. CoRR (2021)
Florian Dubost, Erin Hong, Daniel Y. Fu, Nandita Bhaskhar, Siyi Tang, Khaled Saab, Daniel L. Rubin, Jared Dunnmon, Christopher Lee-Messer
Let's Hope it Works! Inaccurate Supervision of Neural Networks with Incorrect Labels: Application to Epilepsy. CoRR (2020)
Khaled Saab, Jared Dunnmon, Christopher Ré, Daniel L. Rubin, Christopher Lee-Messer
Weak supervision as an efficient approach for automated seizure detection in electroencephalography. npj Digit. Medicine 3 (2020)
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
Cross-Modal Data Programming Enables Rapid Medical Machine Learning. Patterns 1 (2) (2020)
Jared Dunnmon, Alexander Ratner, Nishith Khandwala, Khaled Saab, Matthew Markert, Hersh Sagreiya, Roger E. Goldman, Christopher Lee-Messer, Matthew P. Lungren, Daniel L. Rubin, Christopher Ré
Cross-Modal Data Programming Enables Rapid Medical Machine Learning. CoRR (2019)