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Artificial Intelligence methods and techniques for text understanding and risk estimation, predictive models for healthcare claims management

Document analysis is an interdisciplinary field of research that lies at the intersection of computer vision and natural language processing (NLP), with the aim of extracting, interpreting and processing information contained in structured and unstructured documents. These documents can take many forms, including digital texts, scanned images, historical documents or legal documents, often characterised by a high degree of heterogeneity from both a visual and semantic point of view. Doc...

Automorphisms of algebraic curves in positive characteristic and their applications

This thesis focuses on algebraic curves in positive characteristic with large automorphism groups. In particular, cyclic and dihedral groups, as well as groups with a cyclic subgroup of index 2, are studied. It also discusses some Galois subcovers of the Hermitian curve.

Exploring cultural changes about vaginal birth after caesarean section (VBAC): an Italian follow-up on the OptiBIRTH study

Abstract Background: Increasing the rate of vaginal births after caesarean sections (VBAC) is crucial to address the rising prevalence of caesarean sections (CS). Despite its benefits, VBAC rates remain low. Promoting VBAC is key to reducing CS rates, yet it is underutilized. Clinicians' perspectives and their evolution over time are pivotal in this context, but qualitative studies on their views are limited. Aim: This thesis aimed to explore and interpret changes in clinicians' perspec...

Il Paesaggio e il suo doppio. Strumenti culturali e progettuali per la conservazione e la gestione dei paesaggi dell’archeologia mineraria

La ricerca mira a studiare come il progetto paesaggistico, integrato in una visione transdisciplinare, possa intervenire su paesaggi dell’archeologia mineraria e sulla stretta relazione intrinseca tra una dimensione superficiale ed una sotterranea, due complesse “facce” dello stesso paesaggio, proponendo una modalità interpretativa che ne consideri le diverse connotazioni ma, allo stesso tempo, anche una loro continuità e uno stretto legame spaziale, temporale e semantico. Con il fine di gara...

Generative Models from the Inside: a journey through properties and applications

Generative Artificial Intelligence (Gen-AI) is a rapidly evolving field focused on developing models that can generate realistic and novel content, from text to images. Recent advancements such as ChatGPT and DALL-E have revolutionized domains like Natural Language Processing and Computer Vision by creating models capable of producing highly realistic and coherent outputs. This increase in generative capabilities has been driven by foundational models like Transformers, Generative Adversarial...

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