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Titolo Corso di studi Anno di discussione Relatore
Pattern Mining and Network-based Identification of Candidate Driver Genes in ERBB2-Altered Breast and Lung Cancer DATA SCIENCE AND BUSINESS INFORMATICS 2026
Uncovering Artificial Engagement on Social Media with Supervised and Unsupervised Learning: A Telegram Case Study. DATA SCIENCE AND BUSINESS INFORMATICS 2026
Defining Functional Behavioural Equivalence within Interpretable Models of the Rashomon Set DATA SCIENCE AND BUSINESS INFORMATICS 2026
Interpretable Leasing Score Prediction via Generative and Evolutionary Decision Tree Learning DATA SCIENCE AND BUSINESS INFORMATICS 2026
BRIDGET: A Hybrid Decision-Making System Bridging the Gap between Learning Together and Learning to Defer DATA SCIENCE AND BUSINESS INFORMATICS 2026
Mobility Data Representation for Spatiotemporal Tasks DOTTORATO NAZIONALE IN INTELLIGENZA ARTIFICIALE 2026
Unsupervised Segmentation of Industrial Machines for Usage Pattern Analysis DATA SCIENCE AND BUSINESS INFORMATICS 2026
Hybrid Methods for Unsupervised Quantum Artificial Intelligence DOTTORATO NAZIONALE IN INTELLIGENZA ARTIFICIALE 2026
Interpretable Few-Shot Metric Learning: From Post-Hoc Explanations to Interpretability-by-Design DOTTORATO NAZIONALE IN INTELLIGENZA ARTIFICIALE 2026
Explainable Anomaly Detection in Time Series DATA SCIENCE AND BUSINESS INFORMATICS 2025
Design and Implementation of an Explainable Learning to Rank Framework DATA SCIENCE AND BUSINESS INFORMATICS 2025
Explainability in Federated Learning and Selective Classification DOTTORATO NAZIONALE IN INTELLIGENZA ARTIFICIALE 2025

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