Application of explainable artificial intelligence (XAI) methods in finance
Issayeva, Tomiris (A.A. 2024/2025) Application of explainable artificial intelligence (XAI) methods in finance. Tesi di Laurea in Artificial intelligence and machine learning, Luiss Guido Carli, relatore Giuseppe Francesco Italiano, pp. 36. [Bachelor's Degree Thesis]
Full text for this thesis not available from the repository.
Abstract/Index
Literature review. Explainable AI: history, goals and taxonomy. State of AI in finance. Key XAI methods. Regulatory landscape. Methodology. Data sources. Exploratory data analysis (EDA) and data pre-processing. XAI techniques implementation. Results and comparison approach.
References
Bibliografia: pp. 28-36.
| Thesis Type: | Bachelor's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Bachelor's Degree Programs > Bachelor's Degree Program in Management and Computer Science, English language (L-18) |
| Chair: | Artificial intelligence and machine learning |
| Thesis Supervisor: | Italiano, Giuseppe Francesco |
| Academic Year: | 2024/2025 |
| Session: | Autumn |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 26 May 2026 13:28 |
| Last Modified: | 26 May 2026 13:28 |
| URI: | https://tesi.luiss.it/id/eprint/45921 |
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