Emotion Elicitation using Sequential Socio-Economic Decision-making in a Serious Game and Modelling Emotions with a Bayesian Approach

There is a growing body of research in the literature that investigates the relationship between emotions and decision-making in socio-economic contexts. Previous research has used in-person serious games based on Game Theory paradigms with socio-economic contexts to explore this relationship in controlled settings for both the neurotypical and autistic population. These games were predominantly applied in labs, which limited their applicability in scenarios such as, in-the-wild, for people ...

Interacting Quantum Field Theory at Positive Temperature: States and Properties

In this thesis interacting relativistic and non relativistic Quantum Field Theories (QFT) are studied, investigating their equilibrium configurations and their long time evolution in the framework of perturbative Algebraic Quantum Field Theory, studying also convergence in a specific model. In the first part, concerning the relativistic case, we study, in formal perturbation theory, interacting KMS states generalising results by Fredenhagen and Lindner to fermionic field theories. As an ap...

Ego Vehicle Localization in Dynamic Environments Using LiDAR-Based Classification of Static and Dynamic Tracks via Probabilistic Graphical Models

Autonomous vehicles (AVs) are required to be able to perceive and locate their surroundings accurately in dynamic environments. Using LiDAR and odomotry data, this dissertation proposes a novel framework for classifying tracks into static and dynamic categories and using static tracks as reliable landmarks for ego vehicle localization. This research is based on the principles of multi-target tracking (MTT), Growing Neural Gas (GNG) clustering, and Dynamic Bayesian Networks (DBN), inte...

La Technical Art History per lo studio dell'operatività di alcune botteghe genovesi attive tra la fine del Quattrocento e la prima metà del Cinquecento.

Attraverso una lettura dei documenti e della fortuna critica di alcuni artisti, i loro corpus pittorici su tavola sono stati oggetto di una campagna diagnostica per rilevare l'autografia in contesti di collaborazione di bottega.

Le tecniche di valutazione di sicurezza in ambito portuale: sviluppi e applicazioni

I porti marittimi, nel corso degli ultimi decenni, hanno rafforzato sempre di più il loro ruolo nella catena logistica globale, configurandosi non solo come hub infrastrutturali deputati alle operazioni di imbarco e sbarco delle merci, ma soprattutto come nodi di rilevanza logistica capaci di contribuire alla catena del valore. La complessità delle operazioni tecnico portuali, ivi inclusi i servizi a supporto delle stesse, di natura sia tecnico che amministrativo-fiscale, è cresciuta notevolm...

No Metric Is an Island: How Algorithmic Fairness Interacts with Other AI Properties

The rapid integration of Artificial Intelligence (AI) across diverse societal domains has intensified concerns about the trustworthiness of automated systems. Beyond accuracy and efficiency, AI must now also satisfy broader ethical and technical desiderata, such as safety, reliability, equity, or transparency. Yet, these properties are not independent: their intersections often involve trade-offs or interplays that challenge both theoretical analysis and practical deployment. Stemming from...

LOS USOS CONTEMPORÁNEOS DE LA EXPRESIÓN BIENES COMUNES: UN MAPA CRÍTICO DE SUS DEBATES Y PROPUESTAS

This dissertation examines the contemporary uses of the expression Commons, arguing that it constitutes not a univocal legal category but a heterogeneous constellation of theoretical perspectives and practical experiences. Far from being a merely descriptive label, the term reflects an effort to reintroduce humility and interdependence into political and legal thinking—an alternative to the individualistic and proprietarian logic that has shaped modern institutions and contributed to environm...

Mechanics-Based Probabilistic Modeling of Crack-Induced Failures in Glass and Corroded Cables

Deep Learning for RNA–RNA Interaction Prediction

RNA–RNA interactions (RRIs) play a central role in post-transcriptional gene regulation, influencing processes such as translation, splicing, RNA stability, and ribonucleoprotein complex assembly. While accurate computational prediction of RRIs could pave the way for RNA-targeted therapies, it remains a major challenge due to the intricate and dynamic behavior of long RNA molecules in vivo. To address these challenges, we introduce RIME, a deep learning framework that predicts RRIs using onl...