575 citations · 836 across the 16 of their papers we have counts for
16 papers
The JEM-EUSO Collaboration: Contributions to the 39th International Cosmic Ray Conference (ICRC2025)
M. Abdullahi, M. Abrate, J. H. Adams +163
This is a collection of papers presented by the JEM-EUSO Collaboration at the 39th International Cosmic Ray Conference (ICRC 2025) (Geneva, Switzerland, July 14--24, 2025).
EUSO-SPB1 Mission and Science
EUSO Collaboration, G. Abdellaoui, S. Abe +292
The Extreme Universe Space Observatory on a Super Pressure Balloon 1 (EUSO-SPB1) was launched in 2017 April from Wanaka, New Zealand. The plan of this mission of opportunity on a N…
Strategies to exploit XAI to improve classification systems
Andrea Apicella, Luca Di Lorenzo, Francesco Isgrò +2
Explainable Artificial Intelligence (XAI) aims to provide insights into the decision-making process of AI models, allowing users to understand their results beyond their decisions.…
Toward the application of XAI methods in EEG-based systems
Andrea Apicella, Francesco Isgrò, Andrea Pollastro +1
An interesting case of the well-known Dataset Shift Problem is the classification of Electroencephalogram (EEG) signals in the context of Brain-Computer Interface (BCI). The non-st…
On The Effects Of Data Normalisation For Domain Adaptation On EEG Data
Andrea Apicella, Francesco Isgrò, Andrea Pollastro +1
In the Machine Learning (ML) literature, a well-known problem is the Dataset Shift problem where, differently from the ML standard hypothesis, the data in the training and test set…
JEM-EUSO Collaboration contributions to the 37th International Cosmic Ray Conference
G. Abdellaoui, S. Abe, J. H. Adams +289
Compilation of papers presented by the JEM-EUSO Collaboration at the 37th International Cosmic Ray Conference (ICRC), held on July 12-23, 2021 (online) in Berlin, Germany.
Exploiting auto-encoders and segmentation methods for middle-level explanations of image classification systems
Andrea Apicella, Salvatore Giugliano, Francesco Isgrò +1
A central issue addressed by the rapidly growing research area of eXplainable Artificial Intelligence (XAI) is to provide methods to give explanations for the behaviours of Machine…
Adaptive Filters in Graph Convolutional Neural Networks
Andrea Apicella, Francesco Isgrò, Andrea Pollastro +1
Over the last few years, we have witnessed the availability of an increasing data generated from non-Euclidean domains, which are usually represented as graphs with complex relatio…
A general approach to compute the relevance of middle-level input features
Andrea Apicella, Salvatore Giugliano, Francesco Isgrò +1
This work proposes a novel general framework, in the context of eXplainable Artificial Intelligence (XAI), to construct explanations for the behaviour of Machine Learning (ML) mode…
A survey on modern trainable activation functions
Andrea Apicella, Francesco Donnarumma, Francesco Isgrò +1
In neural networks literature, there is a strong interest in identifying and defining activation functions which can improve neural network performance. In recent years there has b…
Contributions to the 36th International Cosmic Ray Conference (ICRC 2019) of the JEM-EUSO Collaboration
G. Abdellaoui, S. Abe, J. H. Adams +309
Compilation of papers presented by the JEM-EUSO Collaboration at the 36th International Cosmic Ray Conference (ICRC), held July 24 through August 1, 2019 in Madison, Wisconsin.
A simple and efficient architecture for trainable activation functions
Andrea Apicella, Francesco Isgrò, Roberto Prevete
Learning automatically the best activation function for the task is an active topic in neural network research. At the moment, despite promising results, it is still difficult to d…
First observations of speed of light tracks by a fluorescence detector looking down on the atmosphere
G. Abdellaoui, S. Abe, J. H. Adams +311
EUSO-Balloon is a pathfinder mission for the Extreme Universe Space Observatory onboard the Japanese Experiment Module (JEM-EUSO). It was launched on the moonless night of the 25$^…
The Atmospheric Monitoring System of the JEM-EUSO Space Mission
M. D. Rodriguez Frias, S. Toscano, E. Bozzo +3
An Atmospheric Monitoring System (AMS) is a mandatory and key device of a space-based mission which aims to detect Ultra-High Energy Cosmic Rays (UHECR) and Extremely-High Energy C…
The Atmospheric Monitoring system of the JEM-EUSO telescope
S. Toscano, A. Neronov, M. D. Rodríguez Frías +1
The JEM-EUSO observatory on board of the International Space Station (ISS) is a proposed pioneering space mission devoted to the investigation of Ultra High Energy Cosmic Rays (UHE…
The JEM-EUSO Mission: Status and Prospects in 2011
EUSO Collaboration, J. H. Adams, S. Ahmad +256
Contributions of the JEM-EUSO Collaboration to the 32nd International Cosmic Ray Conference, Beijing, August, 2011.