Words Can Change the World!
SapientIAGraph: An Open Knowledge Graph of University Degree Programs at Sapienza
Ceccaroni, Riccardo, Di Rocco, Lorenzo, Ferraro Petrillo, Umberto
In this paper we present SapientIAGraph (SIAG), a knowledge graph (KG) designed to analyze the organization of university degree programs, with a focus on Sapienza University of Rome. The proposed KG...
A Distributed Workflow for Long Reads Self-correction
Ceccaroni, Riccardo, Di Rocco, Lorenzo, Ferraro Petrillo, Umberto, Brutti, Pierpaolo
Third-Generation Sequencing (TGS) technologies have enabled the extraction of longer nucleotide sequences than NGS technologies, allowing for a deeper understanding of genome structure. Despite becomi...
Topological Anomalies for Trojaned Neural Networks detection
La Commare, Stefano, Ceccaroni, Riccardo, Brutti, Pierpaolo
Deep neural networks (DNNs) are increasingly vulnerable to adversarial attacks, particularly Trojan attacks, which embed malicious behaviors triggered by specific inputs. Detecting these attacks is ch...
Topology-Driven Explainable GNNs for Trojan Detection in Deep Learning
Ceccaroni, Riccardo, Brutti, Pierpaolo
Deep neural networks (DNNs) are widely used in critical applications such as autonomous systems, healthcare, and finance. However, their increasing deployment raises security concerns, particularly ag...
A Scalable Distributed Workflow for Accelerating Long Reads Self-Correction
Ceccaroni, Riccardo, Di Rocco, Lorenzo, Ferraro Petrillo, Umberto, Brutti, Pierpaolo
Future Generation Computer Systems, Vol. , pp. 108244
Third-Generation Sequencing (TGS) technologies have transformed genomic research by enabling the extraction of longer nucleotide sequences (referred to as long reads) and providing deeper insights int...
A distributed approach for persistent homology computation on a large scale
Ceccaroni, Riccardo, Di Rocco, Lorenzo, Ferraro Petrillo, Umberto, Brutti, Pierpaolo
THE JOURNAL OF SUPERCOMPUTING, Vol. (17), pp.
Persistent homology (PH) is a powerful mathematical method to automatically extract relevant insights from images, such as those obtained by high-resolution imaging devices like electron microscopes o...
Pixhomology: a new algorithm for computing persistent homology for pixel data
Ceccaroni, Riccardo, Brutti, Pierpaolo
In this work, we present a highly efficient algorithm for zero-dimensional Persistent Homology (PH) computation on images. Our approach hinges on a novel method for filtering simplicial complexes deri...
Topological attention for denoising astronomical images
Ceccaroni, Riccardo, Brutti, Pierpaolo
Astronomical observations often involve capturing faint signals from celestial objects, such as distant galaxies or dim stars. These signals can be easily overwhelmed by noise, which includes electron...
Topological persistence for astronomical image segmentation
Ceccaroni, Riccardo, Brutti, Pierpaolo, Castellano, Marco, Fontana, Adriano, Merlin, Emiliano
The fast evolution of telescope technologies is making possible the collection of a massive wide variety of data. In our era, a tool that automates information extraction from astronomical images is e...