Master Theses

Michael Magdy Nasr Zaki Ghaly (2023). Leveraging Large Language Models for content analysis and generation for podcast transcriptions.

Vincenzo Collura (2023). Neural-Symbolic Learning: challenges and benchmarks.

Stefano Ciapponi (2023). On the use of Prompting for Fine-Tuning Neural models for Speech Processing.

Lorenzo Borelli (2023). Design and implementation of a privacy-preserving dialogue system based on argumentation.

Luca Bolognini (2023). Emotion Recognition for Human-Centered Conversational Agents.

Lorenzo Niccolai (2023). Knowledge graph embedding enhancement using ontological knowledge in the biomedical domain.

Martina Rossini (2023). Prompting techniques for Natural Language Generation in the Medical Domain.

Marco Costante (2023). Voice conversion with pre-trained representations for audio anonymization.

Giuseppe Murro (2022). SynBA: A contextualized Synonim-Based adversarial Attack for text classification.

Martino Mare Lakota Pulici (2022). Voice Cloning: Increasing Expressivity of Italian Text-to-Speech with Phonemization.