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2020 – today
- 2024
[i7]Sujay Nagaraj, Walter Gerych, Sana Tonekaboni, Anna Goldenberg, Berk Ustun, Thomas Hartvigsen:
Learning from Time Series under Temporal Label Noise. CoRR abs/2402.04398 (2024)- [i6]Dimitris Spathis, Aaqib Saeed, Ali Etemad, Sana Tonekaboni, Stefanos Laskaridis, Shohreh Deldari, Chi Ian Tang, Patrick Schwab, Shyam Tailor:
A collection of the accepted papers for the Human-Centric Representation Learning workshop at AAAI 2024. CoRR abs/2403.10561 (2024) - 2023
- [j2]Achille Nazaret, Sana Tonekaboni, Gregory Darnell, Shirley You Ren, Guillermo Sapiro, Andrew C. Miller
:
Modeling personalized heart rate response to exercise and environmental factors with wearables data. npj Digit. Medicine 6 (2023) - [c9]Jennifer Yu, Tina Behrouzi, Kopal Garg, Anna Goldenberg, Sana Tonekaboni:
Dynamic Interpretable Change Point Detection for Physiological Data Analysis. ML4H@NeurIPS 2023: 636-649 - [c8]Gabriela Morgenshtern, Arnav Verma, Sana Tonekaboni, Robert Greer, Jürgen Bernard, Mjaye Mazwi, Anna Goldenberg, Fanny Chevalier:
RiskFix: Supporting Expert Validation of Predictive Timeseries Models in High-Intensity Settings. EuroVis (Short Papers) 2023: 13-17 - 2022
- [c7]Sana Tonekaboni, Chun-Liang Li, Sercan Ö. Arik, Anna Goldenberg, Tomas Pfister:
Decoupling Local and Global Representations of Time Series. AISTATS 2022: 8700-8714 - [c6]Addison Weatherhead, Robert Greer, Michael-Alice Moga, Mjaye Mazwi, Danny Eytan, Anna Goldenberg, Sana Tonekaboni:
Learning Unsupervised Representations for ICU Timeseries. CHIL 2022: 152-168 - [c5]Sana Tonekaboni, Gabriela Morgenshtern, Azadeh Assadi, Aslesha Pokhrel, Xi Huang, Anand Jayarajan, Robert Greer, Gennady Pekhimenko, Melissa D. McCradden, Mjaye Mazwi, Anna Goldenberg:
How to validate Machine Learning Models Prior to Deployment: Silent trial protocol for evaluation of real-time models at ICU. CHIL 2022: 169-182 - [i5]Sana Tonekaboni, Chun-Liang Li, Sercan Ö. Arik, Anna Goldenberg, Tomas Pfister:
Decoupling Local and Global Representations of Time Series. CoRR abs/2202.02262 (2022) - [i4]Kopal Garg, Sana Tonekaboni, Anna Goldenberg:
Time-Varying Correlation Networks for Interpretable Change Point Detection. CoRR abs/2211.03991 (2022) - 2021
- [c4]Sana Tonekaboni, Danny Eytan, Anna Goldenberg:
Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding. ICLR 2021 - [i3]Sana Tonekaboni, Danny Eytan, Anna Goldenberg:
Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding. CoRR abs/2106.00750 (2021) - 2020
- [c3]Sana Tonekaboni, Shalmali Joshi, Kieran Campbell, David Duvenaud, Anna Goldenberg:
What went wrong and when? Instance-wise feature importance for time-series black-box models. NeurIPS 2020 - [i2]Sana Tonekaboni, Shalmali Joshi, David Duvenaud, Anna Goldenberg:
What went wrong and when? Instance-wise Feature Importance for Time-series Models. CoRR abs/2003.02821 (2020)
2010 – 2019
- 2019
- [c2]Sana Tonekaboni, Shalmali Joshi, Melissa D. McCradden, Anna Goldenberg:
What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use. MLHC 2019: 359-380 - [i1]Sana Tonekaboni, Shalmali Joshi, Melissa D. McCradden, Anna Goldenberg:
What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use. CoRR abs/1905.05134 (2019) - 2018
- [c1]Sana Tonekaboni, Mjaye Mazwi, Peter Laussen, Danny Eytan, Robert Greer, Sebastian D. Goodfellow, Andrew J. Goodwin, Michael Brudno, Anna Goldenberg:
Prediction of Cardiac Arrest from Physiological Signals in the Pediatric ICU. MLHC 2018: 534-550 - 2017
- [j1]Hossein Kassiri, Sana Tonekaboni, Muhammad Tariqus Salam, Nima Soltani, Karim Abdelhalim, José Luis Pérez Velazquez, Roman Genov:
Closed-Loop Neurostimulators: A Survey and A Seizure-Predicting Design Example for Intractable Epilepsy Treatment. IEEE Trans. Biomed. Circuits Syst. 11(5): 1026-1040 (2017)
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last updated on 2024-10-07 22:18 CEST by the dblp team
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