IEEE - Institute of Electrical and Electronics Engineers, Inc. - Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models

Author(s): Jiawei Zhang ; Yang Wang ; Piero Molino ; Lezhi Li ; David S. Ebert
Sponsor(s): IEEE Comput. Soc. Tech. Committee on Comput. Graphics
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 January 2019
Volume: 25
Page(s): 364 - 373
ISSN (CD): 2160-9306
ISSN (Electronic): 1941-0506
ISSN (Paper): 1077-2626
DOI: 10.1109/TVCG.2018.2864499
Regular:

Interpretation and diagnosis of machine learning models have gained renewed interest in recent years with breakthroughs in new approaches. We present Manifold, a framework that utilizes visual... View More

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