Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Nicola, Adami"'
Publikováno v:
Data in Brief, Vol 55, Iss , Pp 110700- (2024)
In this work, we present a novel dataset, SynthOutdoor, comprising 39,086 high-resolution images, aimed at addressing the data scarcity in the field of 3D light direction estimation under the assumption of distant lighting. SynthOutdoor was generated
Externí odkaz:
https://doaj.org/article/5ed85e9939dd40de849a0bf885851172
Publikováno v:
2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops (ICDCSW).
Publikováno v:
Multidimensional Systems and Signal Processing. 32:791-820
In this paper, we explicitly analyze the performance effects of several orthogonal and bi-orthogonal wavelet families. For each family, we explore the impact of the filter order (length) and the decomposition depth in the multiresolution representati
Publikováno v:
SSRN Electronic Journal.
In the last years, due to the availability and easy of use of image editing tools, a large amount of fake and altered images have been produced and spread through the media and the Web. A lot of different approaches have been proposed in order to ass
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c5b86911f5dd6f8f5b34f6b59bdc61e
https://hdl.handle.net/11379/574206
https://hdl.handle.net/11379/574206
Publikováno v:
IJCNN
The electromechanical system of an electric machine controller represents a complex non-linear system that needs to adapt itself continuously over time, since factors as component aging and thermal derating tend to modify its behavior and performance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5eb8ecbf52bf7f4ac0ab70017b2ae9cc
http://hdl.handle.net/11379/546795
http://hdl.handle.net/11379/546795
Autor:
Sergio Benini, Davide Farina, Nicola Adami, Filippo Vaccher, Alberto Signoroni, Andrea Borghesi, Marco Ravanelli, Mattia Savardi, Paolo Gibellini, Riccardo Leonardi, Roberto Maroldi
Publikováno v:
Medical Image Analysis
Graphical abstract
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 COVID-19 patients. Such semi-quantitative scoring
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 COVID-19 patients. Such semi-quantitative scoring
Publikováno v:
Multimedia Tools and Applications. 75:16499-16527
The scale of shot, i.e. the apparent distance of the camera from the main subject of a scene, is one of the main stylistic and narrative functions of audiovisual products, conveying meaning and inducing the viewer's emotional state. The statistical d
Autor:
Sergio Benini, Luca Canini, Alberto Signoroni, Nicola Adami, Massimo Mauro, Riccardo Leonardi
Publikováno v:
CBMI
In this work we present a free Web API for single and multi-text summarization. The summarization algorithm follows an extractive approach, thus selecting the most relevant sentences from a single document or a document set. It integrates in a novel
Autor:
Sergio Benini, Julie Porteous, Nicola Adami, Marc Cavazza, Fabrizio Guerrini, Alberto Piacenza, Riccardo Leonardi
In this article, we discuss an innovative media entertainment application called Interactive Movietelling. As an offspring of Interactive Storytelling applied to movies, we propose to integrate narrative generation through artificial intelligence (AI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31e79120cce48a65f8a3730a26611c3c
http://hdl.handle.net/11379/495735
http://hdl.handle.net/11379/495735