Supersparse Linear Integer Models for Optimized Medical Scoring Systems

15 February 2015

Papers citing "Supersparse Linear Integer Models for Optimized Medical Scoring Systems"

22 / 122 papers shown

Title
Actionable Recourse in Linear Classification Berk Ustun Alexander Spangher Yang Liu FaML 42 539 0 18 Sep 2018
Knowledge-based Transfer Learning Explanation Jiaoyan Chen Freddy Lecue Jeff Z. Pan Ian Horrocks Huajun Chen 11 42 0 22 Jul 2018
Confounding-Robust Policy Improvement Nathan Kallus Angela Zhou CML OffRL 40 152 0 22 May 2018
Manipulating and Measuring Model Interpretability Forough Poursabzi-Sangdeh D. Goldstein Jake M. Hofman Jennifer Wortman Vaughan Hanna M. Wallach 32 685 0 21 Feb 2018
Gaining Free or Low-Cost Transparency with Interpretable Partial Substitute Tong Wang 39 8 0 12 Feb 2018
Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making Michael Veale Max Van Kleek Reuben Binns 25 410 0 03 Feb 2018
How do Humans Understand Explanations from Machine Learning Systems? An Evaluation of the Human-Interpretability of Explanation Menaka Narayanan Emily Chen Jeffrey He Been Kim S. Gershman Finale Doshi-Velez FAtt XAI 41 241 0 02 Feb 2018
Embedding Deep Networks into Visual Explanations Zhongang Qi Saeed Khorram Fuxin Li 32 27 0 15 Sep 2017
Interpretability via Model Extraction Osbert Bastani Carolyn Kim Hamsa Bastani FAtt 29 129 0 29 Jun 2017
Interpreting Blackbox Models via Model Extraction Osbert Bastani Carolyn Kim Hamsa Bastani FAtt 35 170 0 23 May 2017
PreCog: Improving Crowdsourced Data Quality Before Acquisition H. Nilforoshan Jiannan Wang Eugene Wu 14 3 0 07 Apr 2017
Learning Certifiably Optimal Rule Lists for Categorical Data E. Angelino Nicholas Larus-Stone Daniel Alabi Margo Seltzer Cynthia Rudin 62 195 0 06 Apr 2017
Simple rules for complex decisions Jongbin Jung Connor Concannon Ravi Shroff Sharad Goel D. Goldstein CML 25 104 0 15 Feb 2017
Programs as Black-Box Explanations Sameer Singh Marco Tulio Ribeiro Carlos Guestrin FAtt 24 54 0 22 Nov 2016
Learning Optimized Risk Scores Berk Ustun Cynthia Rudin 17 82 0 01 Oct 2016
Preterm Birth Prediction: Deriving Stable and Interpretable Rules from High Dimensional Data Truyen Tran Wei Luo Dinh Q. Phung Jonathan Morris Kristen Rickard Svetha Venkatesh 17 20 0 28 Jul 2016
Interpretable Machine Learning Models for the Digital Clock Drawing Test William Souillard-Mandar Randall Davis Cynthia Rudin R. Au Dana L. Penney 40 13 0 23 Jun 2016
Model-Agnostic Interpretability of Machine Learning Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 29 833 0 16 Jun 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 49 16,673 0 16 Feb 2016
Learning Optimized Or's of And's Tong Wang Cynthia Rudin 27 25 0 06 Nov 2015
Or's of And's for Interpretable Classification, with Application to Context-Aware Recommender Systems Tong Wang Cynthia Rudin Finale Doshi-Velez Yimin Liu Erica Klampfl P. MacNeille 11 41 0 28 Apr 2015
Interpretable Classification Models for Recidivism Prediction J. Zeng Berk Ustun Cynthia Rudin FaML 28 247 0 26 Mar 2015