57 citations · 97 across the 6 of their papers we have counts for
6 papers
Tatemae: Detecting Alignment Faking via Tool Selection in LLMs
Matteo Leonesi, Francesco Belardinelli, Flavio Corradini +1
Alignment faking (AF) occurs when an LLM strategically complies with training objectives to avoid value modification, reverting to prior preferences once monitoring is lifted. Curr…
A Systematic Literature Review of Spatio-Temporal Graph Neural Network Models for Time Series Forecasting and Classification
Flavio Corradini, Flavio Gerosa, Marco Gori +3
In recent years, spatio-temporal graph neural networks (GNNs) have attracted considerable interest in the field of time series analysis, due to their ability to capture, at once, d…
REPTILE: A Proactive Real-Time Deep Reinforcement Learning Self-adaptive Framework
Flavio Corradini, Miichele Loreti, Marco Piangerelli +1
In this work a general framework is proposed to support the development of software systems that are able to adapt their behaviour according to the operating environment changes. T…
The impact of undetected cases on tracking epidemics: the case of COVID-19
Andrea De Simone, Marco Piangerelli
One of the key indicators used in tracking the evolution of an infectious disease isthe reproduction number. This quantity is usually computed using the reportednumber of cases, bu…
BinarySDG: binary sensor data generation with R
Marco Piangerelli, Giacomo Rocchetti, Alessandro Liscio +1
The scarcity of Smart Home data is still a pretty big problem, and in a world where the size of a dataset can often make the difference between a poor performance and a good perfor…
Topological classifier for detecting the emergence of epileptic seizures
Marco Piangerelli, Matteo Rucco, Emanuela Merelli
In this work we study how to apply topological data analysis to create a method suitable to classify EEGs of patients affected by epilepsy. The topological space constructed from t…