Sana Tonekaboni

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 18

Top Topics

Change Point Detection

Health Care Professionals

Physiological Signals

Feature Importance

Top Venues

Publications

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 (2024)
Sujay Nagaraj, Walter Gerych, Sana Tonekaboni, Anna Goldenberg, Berk Ustun, Thomas Hartvigsen
Learning from Time Series under Temporal Label Noise. CoRR (2024)
Jennifer Yu, Tina Behrouzi, Kopal Garg, Anna Goldenberg, Sana Tonekaboni
Dynamic Interpretable Change Point Detection for Physiological Data Analysis. ML4H@NeurIPS (2023)
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)
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)
Sana Tonekaboni, Chun-Liang Li, Sercan Ö. Arik, Anna Goldenberg, Tomas Pfister
Decoupling Local and Global Representations of Time Series. CoRR (2022)
Kopal Garg, Sana Tonekaboni, Anna Goldenberg
Time-Varying Correlation Networks for Interpretable Change Point Detection. CoRR (2022)
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)
Sana Tonekaboni, Chun-Liang Li, Sercan Ö. Arik, Anna Goldenberg, Tomas Pfister
Decoupling Local and Global Representations of Time Series. AISTATS (2022)
Addison Weatherhead, Robert Greer, Michael-Alice Moga, Mjaye Mazwi, Danny Eytan, Anna Goldenberg, Sana Tonekaboni
Learning Unsupervised Representations for ICU Timeseries. CHIL (2022)
Sana Tonekaboni, Danny Eytan, Anna Goldenberg
Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding. ICLR (2021)
Sana Tonekaboni, Danny Eytan, Anna Goldenberg
Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding. CoRR (2021)
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)
Sana Tonekaboni, Shalmali Joshi, David Duvenaud, Anna Goldenberg
What went wrong and when? Instance-wise Feature Importance for Time-series Models. CoRR (2020)
Sana Tonekaboni, Shalmali Joshi, Melissa D. McCradden, Anna Goldenberg
What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use. CoRR (2019)
Sana Tonekaboni, Shalmali Joshi, Melissa D. McCradden, Anna Goldenberg
What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use. MLHC (2019)
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)
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) (2017)