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researcher

R. Leonardi

4 papers hereh-index 303.6k citations268 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.IT2
  • cs.CV1
  • eess.IV1
same name
  • R. Leonardi — 133 papers, h 80
  • R. Leonardi — 16 papers
  • R. Leonardi — 16 papers
  • R. Leonardi — 8 papers
  • R. Leonardi — 7 papers
  • R. Leonardi — 7 papers, h 62

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20052020
most citedBS-Net: learning COVID-19 pneumonia severity on a large Chest X-Ray dataset

144 citations · 144 across the 3 of their papers we have counts for

collaborators

4 papers

eess.IV2020★ 144 cited

BS-Net: learning COVID-19 pneumonia severity on a large Chest X-Ray dataset

Alberto Signoroni, Mattia Savardi, Sergio Benini +8

In this work we design an end-to-end deep learning architecture for predicting, on Chest X-rays images (CXR), a multi-regional score conveying the degree of lung compromise in COVI…

cs.CV2019

Feature Fusion for Robust Patch Matching With Compact Binary Descriptors

Andrea Migliorati, Attilio Fiandrotti, Gianluca Francini +2

This work addresses the problem of learning compact yet discriminative patch descriptors within a deep learning framework. We observe that features extracted by convolutional layer…

cs.IT2008

On Unique Decodability

Marco Dalai, Riccardo Leonardi

In this paper we propose a revisitation of the topic of unique decodability and of some fundamental theorems of lossless coding. It is widely believed that, for any discrete source…

cs.IT2005

Non prefix-free codes for constrained sequences

Marco Dalai, Riccardo Leonardi

In this paper we consider the use of variable length non prefix-free codes for coding constrained sequences of symbols. We suppose to have a Markov source where some state transiti…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.