INTERPRETABILITY AND FAIRNESS IN MACHINE LEARNING: A FORMAL METHODS APPROACH

Ph.D

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Bibliographic Details
Main Author:	BISHWAMITTRA GHOSH
Other Authors:	COMPUTER SCIENCE
Format:	Theses and Dissertations
Language:	English
Published:	2023
Subjects:	Fairness, Interpretability, Machine Learning, Formal methods, Fairness verification and explanation; Rule-based classification
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/245512
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Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-245512
record_format	dspace
spelling	sg-nus-scholar.10635-2455122023-10-25T18:01:17Z INTERPRETABILITY AND FAIRNESS IN MACHINE LEARNING: A FORMAL METHODS APPROACH BISHWAMITTRA GHOSH COMPUTER SCIENCE Kuldeep Singh Meel Fairness, Interpretability, Machine Learning, Formal methods, Fairness verification and explanation; Rule-based classification Ph.D DOCTOR OF PHILOSOPHY (SOC) 2023-10-25T18:01:17Z 2023-10-25T18:01:17Z 2023-03-15 Thesis BISHWAMITTRA GHOSH (2023-03-15). INTERPRETABILITY AND FAIRNESS IN MACHINE LEARNING: A FORMAL METHODS APPROACH. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/245512 0000-0003-2971-8975 en
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
language	English
topic	Fairness, Interpretability, Machine Learning, Formal methods, Fairness verification and explanation; Rule-based classification
spellingShingle	Fairness, Interpretability, Machine Learning, Formal methods, Fairness verification and explanation; Rule-based classification BISHWAMITTRA GHOSH INTERPRETABILITY AND FAIRNESS IN MACHINE LEARNING: A FORMAL METHODS APPROACH
description	Ph.D
author2	COMPUTER SCIENCE
author_facet	COMPUTER SCIENCE BISHWAMITTRA GHOSH
format	Theses and Dissertations
author	BISHWAMITTRA GHOSH
author_sort	BISHWAMITTRA GHOSH
title	INTERPRETABILITY AND FAIRNESS IN MACHINE LEARNING: A FORMAL METHODS APPROACH
title_short	INTERPRETABILITY AND FAIRNESS IN MACHINE LEARNING: A FORMAL METHODS APPROACH
title_full	INTERPRETABILITY AND FAIRNESS IN MACHINE LEARNING: A FORMAL METHODS APPROACH
title_fullStr	INTERPRETABILITY AND FAIRNESS IN MACHINE LEARNING: A FORMAL METHODS APPROACH
title_full_unstemmed	INTERPRETABILITY AND FAIRNESS IN MACHINE LEARNING: A FORMAL METHODS APPROACH
title_sort	interpretability and fairness in machine learning: a formal methods approach
publishDate	2023
url	https://scholarbank.nus.edu.sg/handle/10635/245512
_version_	1781793625032622080

INTERPRETABILITY AND FAIRNESS IN MACHINE LEARNING: A FORMAL METHODS APPROACH

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