INTERPRETABILITY AND FAIRNESS IN MACHINE LEARNING: A FORMAL METHODS APPROACH

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

Internet

https://scholarbank.nus.edu.sg/handle/10635/245512

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