77 citations · 126 across the 16 of their papers we have counts for
18 papers
RAIM: Robust Aggregation of Inexpensive Models for Hallucination Detection
Elia Onofri, Roberto Di Pietro
Automatic evaluation of faithfulness increasingly relies on a large language model acting as a judge, yet the most reliable judges are proprietary frontier models, costly and ill-s…
Consensus and Factual Dynamics in Large Populations of Interacting Language Models
Emanuele Ricco, Elia Onofri, Vincenzo Sammartino +1
Large Language Model (LLM) agents are increasingly deployed as populations of interacting entities, in which consensus --agreement on a shared answer-- emerges as a collective, une…
I-(OT)^2: A Client-optimal Oblivious Transfer Protocol for IoT Devices
Elia Onofri, Andrea Ciccotelli, Roberto Di Pietro
Oblivious Transfer (OT) is a fundamental cryptographic primitive enabling privacy-preserving computation and constitutes a core building block for secure multi-party computation wh…
COD-ssi: Enforcing Mutual Privacy for Credential Oblivious Disclosure in Self Sovereign Identity
Elia Onofri, Andrea De Salve, Paolo Mori +2
The Self-Sovereign Identity (SSI) paradigm is instrumental for decentralised identity management, allowing an entity to create, manage, and present their digital credentials withou…
Bayesian methods for the identification of model parameters for water transport in porous media
Paola Stolfi, Elia Onofri, Gabriella Bretti
The structure of the nonlinear inverse problem arising from capillarity-driven imbibition in porous media is investigated, considering a degenerate parabolic PDE with compactly sup…
Structural Identifiability and Comparative Calibration of Water Retention Curves for Imbibition in Porous Media
Gabriella Bretti, Maurizio Ceseri, Elia Onofri +1
This paper investigates the structural identifiability and a comparative calibration of four water retention curves (WRCs) within the framework of the Richards equation coupled wit…
A Geometric Analysis of Small-sized Language Model Hallucinations
Emanuele Ricco, Elia Onofri, Lorenzo Cima +2
Hallucinations -- plausible but factually incorrect responses -- pose a major challenge to the reliability of Large Language Models (LLMs), especially in multi-step or agentic sett…
PRISM: Phase-enhanced Radial-based Image Signature Mapping framework for fingerprinting AI-generated images
Emanuele Ricco, Elia Onofri, Lorenzo Cima +2
A critical need has emerged for generative AI: attribution methods. That is, solutions that can identify the model originating AI-generated content. This feature, generally relevan…
A general multi-stratum model for a nanofunctionalized releasing capsule: a computational study
Elia Onofri, Emiliano Cristiani, Andrea Martelli +3
Releasing capsules are widely employed in biomedical applications as smart carriers of therapeutic agents, including drugs and bioactive compounds. Such delivery vehicles typically…
Detection of Anomalous Vehicular Traffic and Sensor Failures Using Data Clustering Techniques
Davide Moretti, Elia Onofri, Emiliano Cristiani
The increasing availability of traffic data from sensor networks has created new opportunities for understanding vehicular dynamics and identifying anomalies. In this study, we emp…
Characterizing Polkadot's Transactions Ecosystem: methodology, tools, and insights
Maurantonio Caprolu, Roberto Di Pietro, Flavio Lombardi +1
The growth potential of a crypto(currency) project can be measured by the use cases spurred by the underlying technology. However, these projects are usually distributed, with a we…
On -Contraction and -Contraction: A Unified Framework for Colour-Preserving Graph Reduction
Elia Onofri
Graphs are a fundamental abstraction in computer science and discrete mathematics, where information is encoded in their combinatorial structure. Graph-reduction techniques aim at…
Inverting the Fundamental Diagram and Forecasting Boundary Conditions: How Machine Learning Can Improve Macroscopic Models for Traffic Flow
Maya Briani, Emiliano Cristiani, Elia Onofri
In this paper, we aim at developing new methods to join machine learning techniques and macroscopic differential models for vehicular traffic estimation and forecast. It is well kn…
RSSi-based visitor tracking in museums via cascaded AI classifiers and coloured graph representations
Elia Onofri, Alessandro Corbetta
Individual tracking of museum visitors based on portable radio beacons, an asset for behavioural analyses and comfort/performance improvements, is seeing increasing diffusion. Conc…
Managing Crowded Museums: Visitors Flow Measurement, Analysis, Modeling, and Optimization
Pietro Centorrino, Alessandro Corbetta, Emiliano Cristiani +1
We present an all-around study of the visitors flow in crowded museums: a combination of Lagrangian field measurements and statistical analyses enable us to create stochastic digit…
Local congruence of chain complexes
Gianmaria DelMonte, Elia Onofri, Giorgio Scorzelli +1
The object of this paper is to transform a set of local chain complexes to a single global complex using an equivalence relation of congruence of cells, solving topologically the n…
Measurement and analysis of visitors' trajectories in crowded museums
Pietro Centorrino, Alessandro Corbetta, Emiliano Cristiani +1
We tackle the issue of measuring and analyzing the visitors' dynamics in crowded museums. We propose an IoT-based system -- supported by artificial intelligence models -- to recons…
Finite Boolean Algebras for Solid Geometry using Julia's Sparse Arrays
Alberto Paoluzzi, Vadim Shapiro, Antonio DiCarlo +2
The goal of this paper is to introduce a new method in computer-aided geometry of solid modeling. We put forth a novel algebraic technique to evaluate any variadic expression betwe…