Exploring explainable AI (XAI) in computer vision: a practical application to satellite image scene classification

Amtonazzo, Matteo (A.A. 2023/2024) Exploring explainable AI (XAI) in computer vision: a practical application to satellite image scene classification. Tesi di Laurea in Machine learning, Luiss Guido Carli, relatore Giuseppe Francesco Italiano, pp. 69. [Master's Degree Thesis]

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Abstract/Index

Literature review. XAI. CNNs. Practical application: areal images scene classification. Dataset. Models selection. XAI techniques interpretation. Results.

References

Bibliografia: pp. 62-68.

Thesis Type: Master's Degree Thesis
Institution: Luiss Guido Carli
Degree Program: Master's Degree Programs > Master's Degree Program in Data Science e Management (LM-91)
Chair: Machine learning
Thesis Supervisor: Italiano, Giuseppe Francesco
Thesis Co-Supervisor: Sinaimeri, Blerina
Academic Year: 2023/2024
Session: Summer
Deposited by: Alessandro Perfetti
Date Deposited: 09 Jan 2025 08:20
Last Modified: 09 Jan 2025 08:20
URI: https://tesi.luiss.it/id/eprint/40827

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