( en | de | ru )

 

Disambiguation of "Tonekaboni, Sana"

Author of the publication

copydeleteadd this publication to your clipboard
Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding.

, , and . ICLR, OpenReview.net, (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Sana Cherif

Sana Jabri

Ahmed Jaqoub Sanad

Helena Sanabria Mora

Sana Sarout

 

Other publications of authors with the same name

Learning Unsupervised Representations for ICU Timeseries., , , , , , and . CHIL, volume 174 of Proceedings of Machine Learning Research, page 152-168. PMLR, (2022)Decoupling Local and Global Representations of Time Series., , , , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 8700-8714. PMLR, (2022)Dynamic Interpretable Change Point Detection for Physiological Data Analysis., , , , and . ML4H@NeurIPS, volume 225 of Proceedings of Machine Learning Research, page 636-649. PMLR, (2023)Prediction of Cardiac Arrest from Physiological Signals in the Pediatric ICU., , , , , , , , and . MLHC, volume 85 of Proceedings of Machine Learning Research, page 534-550. PMLR, (2018)What went wrong and when? Instance-wise Feature Importance for Time-series Models., , , and . CoRR, (2020)Closed-Loop Neurostimulators: A Survey and A Seizure-Predicting Design Example for Intractable Epilepsy Treatment., , , , , , and . IEEE Trans. Biomed. Circuits Syst., 11 (5): 1026-1040 (2017)What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use., , , and . MLHC, volume 106 of Proceedings of Machine Learning Research, page 359-380. PMLR, (2019)Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding., , and . ICLR, OpenReview.net, (2021)What went wrong and when? Instance-wise feature importance for time-series black-box models., , , , and . NeurIPS, (2020)RiskFix: Supporting Expert Validation of Predictive Timeseries Models in High-Intensity Settings., , , , , , , and . EuroVis (Short Papers), page 13-17. Eurographics Association, (2023)