Modeling Quality and Machine Learning Pipelines through Extended Feature Models

15 July 2022

Papers citing "Modeling Quality and Machine Learning Pipelines through Extended Feature Models"

8 / 8 papers shown

Title
Software Engineering for AI-Based Systems: A Survey Silverio Martínez-Fernández Justus Bogner Xavier Franch Marc Oriol Julien Siebert Adam Trendowicz Anna Maria Vollmer Stefan Wagner 57 219 0 05 May 2021
Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology Stefan Studer T. Bui C. Drescher A. Hanuschkin Ludwig Winkler S. Peters Klaus-Robert Muller 92 175 0 11 Mar 2020
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 117 1,456 0 02 Aug 2019
Machine Learning Testing: Survey, Landscapes and Horizons Jie M. Zhang Mark Harman Lei Ma Yang Liu VLM AILaw 72 750 0 19 Jun 2019
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 224 1,100 0 06 Mar 2018
Fairness in Criminal Justice Risk Assessments: The State of the Art R. Berk Hoda Heidari S. Jabbari Michael Kearns Aaron Roth 49 994 0 27 Mar 2017
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 222 4,307 0 07 Oct 2016
Certifying and removing disparate impact Michael Feldman Sorelle A. Friedler John Moeller C. Scheidegger Suresh Venkatasubramanian FaML 194 1,984 0 11 Dec 2014