Search Results - "Fracastoro, Giulia"

Age structure in SIRD models for the COVID-19 pandemic-A case study on Italy data and effects on mortality by Calafiore, Giuseppe Carlo, Fracastoro, Giulia

“…The COVID-19 pandemic is bringing disruptive effects on the healthcare systems, economy and social life of countries all over the world. Even though the elder…”
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COVID-19 Case Data for Italy Stratified by Age Class by Calafiore, Giuseppe, Fracastoro, Giulia

“…The dataset described in this paper contains daily data about COVID-19 cases that occurred in Italy over the period from Jan. 29, 2020 to October 15, 2021,…”
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Sampling of Graph Signals via Randomized Local Aggregations by Valsesia, Diego, Fracastoro, Giulia, Magli, Enrico

“…Sampling of signals defined over the nodes of a graph is one of the crucial problems in graph signal processing, whereas in classical signal processing,…”
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DIAGNOSING CLEFT LIP PATHOLOGY IN 3D ULTRASOUND: A LANDMARKING-BASED APPROACH by Vezzetti, Enrico, Speranza, Domenico, Marcolin, Federica, Fracastoro, Giulia

“…The aim of this work is to automatically diagnose and formalize prenatal cleft lip with representative key points and identify the type of defect (unilateral,…”
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Deep Graph-Convolutional Image Denoising by Valsesia, Diego, Fracastoro, Giulia, Magli, Enrico

“…Non-local self-similarity is well-known to be an effective prior for the image denoising problem. However, little work has been done to incorporate it in…”
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EXPLOITING 3D ULTRASOUND FOR FETAL DIAGNOSTIC PURPOSE THROUGH FACIAL LANDMARKING by Vezzetti, Enrico, Speranza, Domenico, Marcolin, Federica, Fracastoro, Giulia, Buscicchio, Giorgia

“…In the last decade, three-dimensional landmarking has gained attention for different applications, such as face recognition for both identification of suspects…”
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Steerable Discrete Fourier Transform by Fracastoro, Giulia, Magli, Enrico

“…Directional transforms have recently raised a lot of interest thanks to their numerous applications in signal compression and analysis. In this letter, we…”
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RAN-GNNs: Breaking the Capacity Limits of Graph Neural Networks by Valsesia, Diego, Fracastoro, Giulia, Magli, Enrico

“…Graph neural networks (GNNs) have become a staple in problems addressing learning and analysis of data defined over graphs. However, several results suggest an…”
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Learning Localized Representations of Point Clouds With Graph-Convolutional Generative Adversarial Networks by Valsesia, Diego, Fracastoro, Giulia, Magli, Enrico

“…Point clouds are an important type of geometric data generated by 3D acquisition devices, and have widespread use in computer graphics and vision. However,…”
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Graph Transform Optimization With Application to Image Compression by Fracastoro, Giulia, Thanou, Dorina, Frossard, Pascal

“…In this paper, we propose a new graph-based transform and illustrate its potential application to signal compression. Our approach relies on the careful design…”
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DeepSUM: Deep Neural Network for Super-Resolution of Unregistered Multitemporal Images by Bordone Molini, Andrea, Valsesia, Diego, Fracastoro, Giulia, Magli, Enrico

“…Recently, convolutional neural networks (CNNs) have been successfully applied to many remote sensing problems. However, deep learning techniques for…”
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Speckle2Void: Deep Self-Supervised SAR Despeckling With Blind-Spot Convolutional Neural Networks by Molini, Andrea Bordone, Valsesia, Diego, Fracastoro, Giulia, Magli, Enrico

“…Information extraction from synthetic aperture radar (SAR) images is heavily impaired by speckle noise, and hence, despeckling is a crucial preliminary step in…”
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Clearing payments in dynamic financial networks by Calafiore, Giuseppe C., Fracastoro, Giulia, Proskurnikov, Anton V.

“…This paper proposes a novel dynamical model for determining clearing payments in financial networks. We extend the classical Eisenberg–Noe model of financial…”
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Multiclass Sparse Centroids With Application to Fast Time Series Classification by Bradde, Tommaso, Fracastoro, Giulia, Calafiore, Giuseppe C.

“…In this article, we propose an efficient multiclass classification scheme based on sparse centroids classifiers. The proposed strategy exhibits linear…”
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Steerable Discrete Cosine Transform by Fracastoro, Giulia, Fosson, Sophie M., Magli, Enrico

“…In image compression, classical block-based separable transforms tend to be inefficient when image blocks contain arbitrarily shaped discontinuities. For this…”
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Learning Robust Graph-Convolutional Representations for Point Cloud Denoising by Pistilli, Francesca, Fracastoro, Giulia, Valsesia, Diego, Magli, Enrico

“…Point clouds are an increasingly relevant geometric data type but they are often corrupted by noise and affected by the presence of outliers. We propose a deep…”
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3D face recognition: An automatic strategy based on geometrical descriptors and landmarks by Vezzetti, Enrico, Marcolin, Federica, Fracastoro, Giulia

“…In the last decades, several three-dimensional face recognition algorithms have been thought, designed, and assessed. What they have in common can be hardly…”
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Sparse ℓ1- and ℓ2-Center Classifiers by Calafiore, Giuseppe C., Fracastoro, Giulia

“…In this article, we discuss two novel sparse versions of the classical nearest-centroid classifier. The proposed sparse classifiers are based on…”
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Sparse ℓ 1 - and ℓ 2 -Center Classifiers by Calafiore, Giuseppe C, Fracastoro, Giulia

“…In this article, we discuss two novel sparse versions of the classical nearest-centroid classifier. The proposed sparse classifiers are based on l and l…”
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Semi-supervised learning for joint SAR and multispectral land cover classification by Montanaro, Antonio, Valsesia, Diego, Fracastoro, Giulia, Magli, Enrico

“…Semi-supervised learning techniques are gaining popularity due to their capability of building models that are effective, even when scarce amounts of labeled…”
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