Sana Tonekaboni
According to our database1,
Sana Tonekaboni
authored at least 16 papers
between 2017 and 2024.
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Bibliography
2024
CoRR, 2024
A collection of the accepted papers for the Human-Centric Representation Learning workshop at AAAI 2024.
CoRR, 2024
2023
Modeling personalized heart rate response to exercise and environmental factors with wearables data.
npj Digit. Medicine, 2023
RiskFix: Supporting Expert Validation of Predictive Timeseries Models in High-Intensity Settings.
Proceedings of the 25th Eurographics Conference on Visualization, 2023
Proceedings of the Machine Learning for Health, 2023
2022
CoRR, 2022
Proceedings of the Conference on Health, Inference, and Learning, 2022
How to validate Machine Learning Models Prior to Deployment: Silent trial protocol for evaluation of real-time models at ICU.
Proceedings of the Conference on Health, Inference, and Learning, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding.
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
CoRR, 2020
What went wrong and when? Instance-wise feature importance for time-series black-box models.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use.
Proceedings of the Machine Learning for Healthcare Conference, 2019
2018
Proceedings of the Machine Learning for Healthcare Conference, 2018
2017
Closed-Loop Neurostimulators: A Survey and A Seizure-Predicting Design Example for Intractable Epilepsy Treatment.
IEEE Trans. Biomed. Circuits Syst., 2017