7.1k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- SupélecFR486 papers
- Shandong University of Political Science and LawCN485 papers
- Dalle Molle Institute for Artificial Intelligence ResearchCH65 papers
- New York UniversityUS52 papers
- Università della Svizzera italianaCH21 papers
- Google (United States)US16 papers
- Princeton UniversityUS15 papers
- Courant Institute of Mathematical SciencesUS13 papers
- Politecnico di TorinoIT12 papers
- Meta (Israel)IL11 papers
- Massachusetts Institute of TechnologyUS10 papers
- ETH ZurichCH9 papers
11 papers · 1 filter
Physics Playground: Insights from a Qualitative-Quantitative Study about VR-Based Learning
Elena Battipede, Antonella Giangualano, Paolo Boffi +8
Physics Playground is an immersive Virtual Reality (VR) application designed for educational purposes, featuring a virtual laboratory where users interact with various physics phen…
The Duality of Generative AI and Reinforcement Learning in Robotics: A Review
Angelo Moroncelli, Vishal Soni, Marco Forgione +3
Recently, generative AI and reinforcement learning (RL) have been redefining what is possible for AI agents that take information flows as input and produce intelligent behavior. A…
An R package for nonparametric inference on dynamic populations with infinitely many types
Filippo Ascolani, Stefano Damato, Matteo Ruggiero
Fleming-Viot diffusions are widely used stochastic models for population dynamics which extend the celebrated Wright-Fisher diffusions. They describe the temporal evolution of the…
Rubric-based Learner Modelling via Noisy Gates Bayesian Networks for Computational Thinking Skills Assessment
Giorgia Adorni, Francesca Mangili, Alberto Piatti +2
In modern and personalised education, there is a growing interest in developing learners' competencies and accurately assessing them. In a previous work, we proposed a procedure fo…
Designing the virtual CAT: A digital tool for algorithmic thinking assessment in compulsory education
Giorgia Adorni, Alberto Piatti
Algorithmic thinking (AT) is a critical skill in today's digital society, and it is indispensable not only in computer science-related fields but also in everyday problem-solving.…
The Magic XRoom: A Flexible VR Platform for Controlled Emotion Elicitation and Recognition
S. M. Hossein Mousavi, Matteo Besenzoni, Davide Andreoletti +2
Affective computing has recently gained popularity, especially in the field of human-computer interaction systems, where effectively evoking and detecting emotions is of paramount…
Learning to Estimate the Pose of a Peer Robot in a Camera Image by Predicting the States of its LEDs
Nicholas Carlotti, Mirko Nava, Alessandro Giusti
We consider the problem of training a fully convolutional network to estimate the relative 6D pose of a robot given a camera image, when the robot is equipped with independent cont…
"Layer-by-layer" Unsupervised Clustering of Statistically Relevant Fluctuations in Noisy Time-series Data of Complex Dynamical Systems
Matteo Becchi, Federico Fantolino, Giovanni M. Pavan
Complex systems are typically characterized by intricate internal dynamics that are often hard to elucidate. Ideally, this requires methods that allow to detect and classify in uns…
FADE-CTP: A Framework for the Analysis and Design of Educational Computational Thinking Problems
Giorgia Adorni, Alberto Piatti, Engin Bumbacher +5
In recent years, the emphasis on computational thinking (CT) has intensified as an effect of accelerated digitalisation. While most researchers are concentrating on defining CT and…
A Heterogeneous RISC-V based SoC for Secure Nano-UAV Navigation
Luca Valente, Alessandro Nadalini, Asif Veeran +12
The rapid advancement of energy-efficient parallel ultra-low-power (ULP) ucontrollers units (MCUs) is enabling the development of autonomous nano-sized unmanned aerial vehicles (na…
Comparison analysis between standard polysomnographic data and in-ear-EEG signals: A preliminary study
Gianpaolo Palo, Luigi Fiorillo, Giuliana Monachino +8
Study Objectives: Polysomnography (PSG) currently serves as the benchmark for evaluating sleep disorders. Its discomfort makes long-term monitoring unfeasible, leading to bias in s…