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Yindalon Aphinyanaphongs

Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations


Mar 02, 2021
Neil Jethani, Mukund Sudarshan, Yindalon Aphinyanaphongs, Rajesh Ranganath

* Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS) 2021 
* 15 pages, 3 figures, Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS) 2021 

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COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction


Jan 25, 2021
Anuroop Sriram, Matthew Muckley, Koustuv Sinha, Farah Shamout, Joelle Pineau, Krzysztof J. Geras, Lea Azour, Yindalon Aphinyanaphongs, Nafissa Yakubova, William Moore


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COVID-19 Deterioration Prediction via Self-Supervised Representation Learning and Multi-Image Prediction


Jan 13, 2021
Anuroop Sriram, Matthew Muckley, Koustuv Sinha, Farah Shamout, Joelle Pineau, Krzysztof J. Geras, Lea Azour, Yindalon Aphinyanaphongs, Nafissa Yakubova, William Moore


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An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department


Aug 04, 2020
Farah E. Shamout, Yiqiu Shen, Nan Wu, Aakash Kaku, Jungkyu Park, Taro Makino, Stanisław Jastrzębski, Duo Wang, Ben Zhang, Siddhant Dogra, Meng Cao, Narges Razavian, David Kudlowitz, Lea Azour, William Moore, Yvonne W. Lui, Yindalon Aphinyanaphongs, Carlos Fernandez-Granda, Krzysztof J. Geras


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Assessment of Amazon Comprehend Medical: Medication Information Extraction


Feb 02, 2020
Benedict Guzman, MS, Isabel Metzger, MS, Yindalon Aphinyanaphongs, M. D., Ph. D., Himanshu Grover, Ph. D


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Utility of General and Specific Word Embeddings for Classifying Translational Stages of Research


Jul 09, 2018
Vincent Major, Alisa Surkis, Yindalon Aphinyanaphongs

* 10 pages. Accepted to AMIA 2018 Annual Symposium, San Francisco, November 3-7, 2018 

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A Workflow for Visual Diagnostics of Binary Classifiers using Instance-Level Explanations


Oct 01, 2017
Josua Krause, Aritra Dasgupta, Jordan Swartz, Yindalon Aphinyanaphongs, Enrico Bertini

* Published at IEEE Conference on Visual Analytics Science and Technology (IEEE VAST 2017) 

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