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Titolo Corso di studi Anno di discussione Relatore
Intelligent Data Steward: An AI Agent Based Architecture for Automated Data Stewardship DATA SCIENCE AND BUSINESS INFORMATICS 2026
Optimizing Fairness in Federated Learning: Balancing Fairness and Performance under Budget Constraints ​ DOTTORATO NAZIONALE IN INTELLIGENZA ARTIFICIALE 2026
Documentation Update: An Approach Based on AI Agents and Large Language Models DATA SCIENCE AND BUSINESS INFORMATICS 2025
Human-in-the-Loop Time Series Classification: The FRANK-TS Framework for Co-Evolutionary and Explainable Analysis INFORMATICA 2025
Explainability in Federated Learning and Selective Classification DOTTORATO NAZIONALE IN INTELLIGENZA ARTIFICIALE 2025
Design and Development of a Cloud-Based Business Intelligence Solution for Sales Performance Analysis DATA SCIENCE AND BUSINESS INFORMATICS 2025
Towards Personalized Explainability: The Development of a Modular Recommender System to Assess Explanation Suitability for Different Personas INFORMATICA 2025
Integrating Explainable AI with Retrieval Augmented Generation for Reliable and Personalized Medical Decision Support INFORMATICA 2025
Recommender System for Online Casino Game Platforms using Databricks DATA SCIENCE AND BUSINESS INFORMATICS 2025
PrivNet: Advancing Mobile Security through Privacy-Preserving Federated Learning for Malware Detection INFORMATICA 2024
Privacy issues in AI: testing the effectiveness of differential privacy on black box and explainable AI models DATA SCIENCE AND BUSINESS INFORMATICS 2024
Attacking machine learning models and their global explainers INFORMATICA 2023

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