40 citations · 137 across the 14 of their papers we have counts for
14 papers
Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review
Giovanni Ciatto, Federico Sabbatini, Andrea Agiollo +2
In this paper we focus on the opacity issue of sub-symbolic machine learning predictors by promoting two complementary activities, namely, symbolic knowledge extraction (SKE) and i…
Evaluating Machine Learning Models against Clinical Protocols for Enhanced Interpretability and Continuity of Care
Christel Sirocchi, Muhammad Suffian, Federico Sabbatini +2
In clinical practice, decision-making relies heavily on established protocols, often formalised as rules. Concurrently, Machine Learning (ML) models, trained on clinical data, aspi…
Characterization of hydrogenated amorphous silicon sensors on polyimide flexible substrate
M. Menichelli, L. Antognini, S. Aziz +50
Hydrogenated amorphous silicon (a-Si:H) is a material having an intrinsically high radiation hardness that can be deposited on flexible substrates like Polyimide. For these propert…
Particle monitoring capability of the Solar Orbiter Metis coronagraph through the increasing phase of solar cycle 25
Catia Grimani, Vincenzo Andretta, Ester Antonucci +26
Context. Galactic cosmic rays (GCRs) and solar particles with energies greater than tens of MeV penetrate spacecraft and instruments hosted aboard space missions. The Solar Orbiter…
Solar Wind Speed Estimate with Machine Learning Ensemble Models for LISA
Federico Sabbatini, Catia Grimani
In this work we study the potentialities of machine learning models in reconstructing the solar wind speed observations gathered in the first Lagrangian point by the ACE satellite…
A Hydrogenated amorphous silicon detector for Space Weather Applications
Catia Grimani, Michele Fabi, Federico Sabbatini +35
The characteristics of a hydrogenated amorphous silicon (a-Si:H) detector are presented here for monitoring in space solar flares and the evolution of large energetic proton events…
Evaluation Metrics for Symbolic Knowledge Extracted from Machine Learning Black Boxes: A Discussion Paper
Federico Sabbatini, Roberta Calegari
As opaque decision systems are being increasingly adopted in almost any application field, issues about their lack of transparency and human readability are a concrete concern for…
Clustering-Based Approaches for Symbolic Knowledge Extraction
Federico Sabbatini, Roberta Calegari
Opaque models belonging to the machine learning world are ever more exploited in the most different application areas. These models, acting as black boxes (BB) from the human persp…
Interplanetary medium monitoring with LISA: lessons from LISA Pathfinder
A. Cesarini, C. Grimani, S. Benella +4
The Laser Interferometer Space Antenna (LISA) of the European Space Agency (ESA) will be the first low-frequency gravitational-wave observatory orbiting the Sun at 1 AU. The LISA P…
Symbolic Knowledge Extraction from Opaque Predictors Applied to Cosmic-Ray Data Gathered with LISA Pathfinder
Federico Sabbatini, Catia Grimani
Machine learning models are nowadays ubiquitous in space missions, performing a wide variety of tasks ranging from the prediction of multivariate time series through the detection…
Bridging the gap between Monte Carlo simulations and measurements of the LISA Pathfinder test-mass charging for LISA
Catia Grimani, Mattia Villani, Michele Fabi +2
Cubic gold-platinum free-falling test masses (TMs) constitute the mirrors of future LISA and LISA-like interferometers for low-frequency gravitational wave detection in space. High…
Cosmic-ray flux predictions and observations for and with Metis on board Solar Orbiter
C. Grimani, V. Andretta, P. Chioetto +41
The Metis coronagraph is one of the remote sensing instruments hosted on board the ESA/NASA Solar Orbiter mission. Metis is devoted to carry out the first simultaneous imaging of t…
Recurrent galactic cosmic-ray flux modulation in L1 and geomagnetic activity during the declining phase of the solar cycle 24
Catia Grimani, Andrea Cesarini, Michele Fabi +3
Galactic cosmic-ray (GCR) flux short-term variations (1 month) in the inner heliosphere are mainly associated with the passage of high-speed solar wind streams (HSS) and interpl…
Characteristics and energy dependence of recurrent galactic cosmic-ray flux depressions and of a Forbush decrease with LISA Pathfinder
M. Armano, H. Audley, J. Baird +82
Galactic cosmic-ray (GCR) energy spectra observed in the inner heliosphere are modulated by the solar activity, the solar polarity and structures of solar and interplanetary origin…