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Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs

Feb 17, 2021
Harini Suresh, Kathleen M. Lewis, John V. Guttag, Arvind Satyanarayan

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Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs

Jan 24, 2021
Harini Suresh, Steven R. Gomez, Kevin K. Nam, Arvind Satyanarayan

* In CHI Conference on Human Factors in Computing Systems (CHI '21) 

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Underspecification Presents Challenges for Credibility in Modern Machine Learning

Nov 06, 2020
Alexander D'Amour, Katherine Heller, Dan Moldovan, Ben Adlam, Babak Alipanahi, Alex Beutel, Christina Chen, Jonathan Deaton, Jacob Eisenstein, Matthew D. Hoffman, Farhad Hormozdiari, Neil Houlsby, Shaobo Hou, Ghassen Jerfel, Alan Karthikesalingam, Mario Lucic, Yian Ma, Cory McLean, Diana Mincu, Akinori Mitani, Andrea Montanari, Zachary Nado, Vivek Natarajan, Christopher Nielson, Thomas F. Osborne, Rajiv Raman, Kim Ramasamy, Rory Sayres, Jessica Schrouff, Martin Seneviratne, Shannon Sequeira, Harini Suresh, Victor Veitch, Max Vladymyrov, Xuezhi Wang, Kellie Webster, Steve Yadlowsky, Taedong Yun, Xiaohua Zhai, D. Sculley

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Misplaced Trust: Measuring the Interference of Machine Learning in Human Decision-Making

May 22, 2020
Harini Suresh, Natalie Lao, Ilaria Liccardi

* 12th ACM Conference on Web Science, July 6-10, 2020, Southampton, United Kingdom 
* 10 pages 

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Image segmentation of liver stage malaria infection with spatial uncertainty sampling

Nov 30, 2019
Ava P. Soleimany, Harini Suresh, Jose Javier Gonzalez Ortiz, Divya Shanmugam, Nil Gural, John Guttag, Sangeeta N. Bhatia

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A Framework for Understanding Unintended Consequences of Machine Learning

Jan 28, 2019
Harini Suresh, John V. Guttag

* 6 pages, 2 figures 

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Modeling Mistrust in End-of-Life Care

Jun 30, 2018
Willie Boag, Harini Suresh, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi

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Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU

Jun 07, 2018
Harini Suresh, Jen J. Gong, John Guttag

* KDD 2018 

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Clinical Intervention Prediction and Understanding using Deep Networks

May 23, 2017
Harini Suresh, Nathan Hunt, Alistair Johnson, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi

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The Use of Autoencoders for Discovering Patient Phenotypes

Mar 20, 2017
Harini Suresh, Peter Szolovits, Marzyeh Ghassemi

* NIPS Workshop on Machine Learning for Healthcare (NIPS ML4HC) 2016 

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Feature Representation for ICU Mortality

Feb 07, 2016
Harini Suresh

* This article has been withdrawn due by the author due to the need for more testing to verify results 

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Autodetection and Classification of Hidden Cultural City Districts from Yelp Reviews

Jan 12, 2015
Harini Suresh, Nicholas Locascio

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