Human-Interpretable Explanations for Black-Box Machine Learning Models: An Application to Fraud Detection

Machine Learning (ML) has been increasingly used to aid humans making high-stakes decisions in a wide range of areas, from public policy to criminal justice, education, healthcare, or financial services. However, it is very hard for humans to grasp the rationale behind every ML model’s prediction, h...

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Detalhes bibliográficos
Autor principal: Balayan, Vladimir (author)
Formato: masterThesis
Idioma:eng
Publicado em: 2022
Assuntos:
Machine Learning
Explainable AI
Domain Knowledge Explanations
Self- Explainable Methods
Human-AI Cooperative systems
Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
Texto completo:http://hdl.handle.net/10362/130774
País:Portugal
Oai:oai:run.unl.pt:10362/130774

Texto Completo

http://hdl.handle.net/10362/130774

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