On the Integration of Interpretable Machine Learning Techniques to Machine Learning Pipeline

ARSLAN, Yusuf

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Doctoral thesis (Dissertations and theses)

On the Integration of Interpretable Machine Learning Techniques to Machine Learning Pipeline

ARSLAN, Yusuf

2023

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https://hdl.handle.net/10993/55513

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Research center :

Interdisciplinary Centre for Security, Reliability and Trust (SnT) > TruX - Trustworthy Software Engineering

Disciplines :

Computer science

Author, co-author :

ARSLAN, Yusuf ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > TruX

Language :

English

Title :

On the Integration of Interpretable Machine Learning Techniques to Machine Learning Pipeline

Defense date :

26 June 2023

Institution :

Unilu - University of Luxembourg, Luxembourg

Degree :

Docteur en Informatique

Promotor :

KLEIN, Jacques

President :

PAPADAKIS, Mike

Jury member :

Allix, Kevin

Seifert, Christin

Benoit, Frenay

Focus Area :

Computational Sciences

FnR Project :

FNR13778825 - Explainable Machine Learning In Fintech, 2019 (01/07/2019-30/06/2022) - Jacques Klein

Funders :

FNR - Fonds National de la Recherche

Available on ORBilu :

since 04 July 2023

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