Securing Systems and Data: Attack Detection techniques and Generative AI approaches

The escalating complexity of cyber threats demands a proactive and dynamic security posture, grounded in data-driven intelligence and intelligent automation. Addressing the fundamental asymmetry between adversaries’ speed and human operational limitations requires a paradigm shift. This dissertation explores innovative approaches to cybersecurity, focusing on data-driven detection and mitigation of cyberattacks and the use of intelligent agentic systems to strengthen security operations. The ...

How Motor Learning shapes contemporary Neurorehabilitation Practices. A critical synthesis of theoretical frameworks, clinical traditions, and neuroscientiÞc evidence from past to future.

OBJECTIVE: This study addresses the need for standardized approaches in neurorehabilitation, focusing on the assessment and modulation of Motor Learning variables through both theoretical and practical frameworks. Current clinical practice and research often lack systematic tools to capture the complexity of movement organization and patientÐtherapist interactions, limiting reproducibility and optimization of interventions. METHODS: A comprehensive checklist of core Motor Learning variables f...

Rethinking balance theory: a probabilistic approach to the study of signed networks

Networks provide a powerful language to model interacting sys- tems, by representing their units as nodes and the interactions be- tween them as links. Interactions can be connotated in several ways, such as binary/weighted or undirected/directed. In this thesis, we focus on the positive/negative connotation - modelling trust and distrust, alliance and enmity, etc. - by considering the so-called signed networks. Rooted in the formulation of Balance Theory, a psy- chological paradigm that ha...

Bounded-variable least-squares methods for linear and nonlinear model predictive control

Fashion design objects as cultural property in Italy and in the United States

Europe in hard times: driving institutional change during the Eurozone crisis

Supervised and Semi-Supervised Learning in Vision using Deep Neural Networks

Typing Services

Essays on the spatial analysis of the housing market