15 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of TurinIT12 papers
- Institute for Scientific InterchangeIT2 papers
- Azienda Ospedaliera Citta' della Salute e della Scienza di TorinoIT1 paper
- Cardiff UniversityGB1 paper
- Central European UniversityAT1 paper
- Complexity Science HubAT1 paper
- Delft University of TechnologyNL1 paper
- Department of Public HealthUS1 paper
- Eötvös Loránd UniversityHU1 paper
- Fondazione Ricerca MolinetteIT1 paper
- HUN-REN Centre for Ecological ResearchHU1 paper
- Institute for High Performance Computing and NetworkingIT1 paper
16 papers
From Nodes to Edges: Edge-Based Laplacians for Brain Signal Processing
Andrea Santoro, Marco Nurisso, Giovanni Petri
Traditional graph signal processing (GSP) methods applied to brain networks focus on signals defined on the nodes. Thus, they are unable to capture potentially important dynamics o…
OntoLogX: Ontology-Guided Knowledge Graph Extraction from Cybersecurity Logs with Large Language Models
Luca Cotti, Idilio Drago, Anisa Rula +2
System logs represent a valuable source of Cyber Threat Intelligence (CTI), capturing attacker behaviors, exploited vulnerabilities, and traces of malicious activity. Yet their uti…
Counting gauge-invariant states with matter fields and finite gauge groups
Alessandro Mariani
Gauge theories with finite gauge groups have applications to quantum simulation and quantum gravity. Recently, the exact number of gauge-invariant states was computed for pure gaug…
Beyond Cox Models: Assessing the Performance of Machine-Learning Methods in Non-Proportional Hazards and Non-Linear Survival Analysis
Ivan Rossi, Flavio Sartori, Cesare Rollo +3
Survival analysis often relies on Cox models, assuming both linearity and proportional hazards (PH). This study evaluates machine and deep learning methods that relax these constra…
Synthesizing Evolving Symbolic Representations for Autonomous Systems
Gabriele Sartor, Angelo Oddi, Riccardo Rasconi +2
Recently, AI systems have made remarkable progress in various tasks. Deep Reinforcement Learning(DRL) is an effective tool for agents to learn policies in low-level state spaces to…
Numerical determination of the width and shape of the effective string using Stochastic Normalizing Flows
Michele Caselle, Elia Cellini, Alessandro Nada
Flow-based architectures have recently proved to be an efficient tool for numerical simulations of Effective String Theories regularized on the lattice that otherwise cannot be eff…
Quantum enhanced stratification of Breast Cancer: exploring quantum expressivity for real omics data
Valeria Repetto, Elia Giuseppe Ceroni, Giuseppe Buonaiuto +1
Quantum Machine Learning (QML) is considered one of the most promising applications of Quantum Computing in the Noisy Intermediate Scale Quantum (NISQ) era for the impact it is tho…
Moral Judgments in Online Discourse are not Biased by Gender
Lorenzo Betti, Paolo Bajardi, Gianmarco De Francisci Morales
The interaction between social norms and gender roles prescribes gender-specific behaviors that influence moral judgments. Here, we study how moral judgments are biased by the gend…
Carbon cycle instability for high- exoplanets: Implications for habitability
R. J. Graham, R. T. Pierrehumbert
Implicit in the definition of the classical circumstellar habitable zone (HZ) is the hypothesis that the carbonate-silicate cycle can maintain clement climates on exoplanets with l…
Duality transformations and the entanglement entropy of gauge theories
Andrea Bulgarelli, Marco Panero
The study of entanglement in gauge theories is expected to provide insights into many fundamental phenomena, including confinement. However, calculations of quantities related to e…
Public Goods Games in Disease Evolution and Spread
Christo Morison, Małgorzata Fic, Thomas Marcou +12
Cooperation arises in nature at every scale, from within cells to entire ecosystems. In the framework of evolutionary game theory, public goods games (PGGs) are used to analyse sce…
Exploiting Liver CT scans in Colorectal Carcinoma genomics mutation classification
Daniele Perlo, Luca Berton, Alessia Delpiano +4
The liver is the most involved organ by distant metastasis in colon-rectal cancer (CRC) patients and it comes necessary to be aware of the mutational status of the lesions to corre…
Sampling the lattice Nambu-Goto string using Continuous Normalizing Flows
Michele Caselle, Elia Cellini, Alessandro Nada
Effective String Theory (EST) represents a powerful non-perturbative approach to describe confinement in Yang-Mills theory that models the confining flux tube as a thin vibrating s…
Empirical Analysis of Foundational Distinctions in Linked Open Data
Luigi Asprino, Valerio Basile, Paolo Ciancarini +1
The Web and its Semantic extension (i.e. Linked Open Data) contain open global-scale knowledge and make it available to potentially intelligent machines that want to benefit from i…
An analysis of numerical issues in neural training by pseudoinversion
R. Cancelliere, R. Deluca, M. Gai +2
Some novel strategies have recently been proposed for single hidden layer neural network training that set randomly the weights from input to hidden layer, while weights from hidde…
A Witness Extraction Technique by Proof Normalization Based on Interactive Realizability
Giovanni Birolo
We present a new set of reductions for derivations in natural deduction that can extract witnesses from closed derivations of simply existential formulas in Heyting Arithmetic (HA)…