Zobrazeno 1 - 10
of 126
pro vyhledávání: '"Bazzica, A."'
Publikováno v:
Proc of the First Int Workshop on Deep Learning and Music. Anchorage, US. 1(1). pp 31-36 (2017)
Acoustic events often have a visual counterpart. Knowledge of visual information can aid the understanding of complex auditory scenes, even when only a stereo mixdown is available in the audio domain, \eg identifying which musicians are playing in la
Externí odkaz:
http://arxiv.org/abs/1706.09556
Publikováno v:
In Image and Vision Computing January 2017 57:25-43
Publikováno v:
In Computer Vision and Image Understanding March 2016 144:188-204
Autor:
Michel Almaguer, María-Jesús Aira, F. Javier Rodríguez-Rajo, Maria Fernandez-Gonzalez, Teresa I. Rojas-Flores, Sergio Manuel Salcedo Martínez, Doron M Vardi, Valentina Stefanetti, Mauro Coletti, Chiara Bazzica, Marco Pepe, Maria Gorska
Publikováno v:
Annals of Agricultural and Environmental Medicine, Vol 22, Iss 878446, Pp 215-220 (2015)
The airborne fungal spore content in Havana, Cuba, collected by means a non-viable volumetric methodology, was studied from November 2010 – October 2011. The study, from a qualitative point of view, allowed the characterization of 29 genera and 5 f
Externí odkaz:
https://doaj.org/article/7327e38b2c444b4f932ccb43b097ff15
Autor:
Fabrizio Passamonti, Fabrizia Veronesi, Katia Cappelli, Stefano Capomaccio, Alice Reginato, Arianna Miglio, Doron M Vardi, Valentina Stefanetti, Mauro Coletti, Chiara Bazzica, Marco Pepe
Publikováno v:
Annals of Agricultural and Environmental Medicine, Vol 22, Iss 878446, Pp 247-250 (2015)
Lyme borreliosis (LB) is a multi-systemic tick-borne disease affecting both humans and animals, including horses, and is caused by a group of interrelated spirochetes classified within the[i] Borrelia burgdorferi [/i]sensu lato (s.l.) complex. Despit
Externí odkaz:
https://doaj.org/article/11b188af2cdf4dc98f6c5a9ebcb46b53
Autor:
Fabrizio Passamonti, Fabrizia Veronesi, Katia Cappelli, Stefano Capomaccio, Alice Reginato, Arianna Miglio, Doron M Vardi, Valentina Stefanetti, Mauro Coletti, Chiara Bazzica, Marco Pepe
Publikováno v:
Annals of Agricultural and Environmental Medicine, Vol 22, Iss 2, Pp 247-250 (2015)
Lyme borreliosis (LB) is a multi-systemic tick-borne disease affecting both humans and animals, including horses, and is caused by a group of interrelated spirochetes classified within the Borrelia burgdorferi sensu lato (s.l.) complex. Despite the h
Externí odkaz:
https://doaj.org/article/f6e5f67dead346598b0da136e7a6a07a
Autor:
Kristyna Venclikova, Jan Mendel, Lenka Betasova, Zdenek Hubalek, Ivo Rudolf, Sergio Manuel Salcedo Martínez, Doron M Vardi, Valentina Stefanetti, Mauro Coletti, Chiara Bazzica, Marco Pepe, Maria Gorska
Publikováno v:
Annals of Agricultural and Environmental Medicine, Vol 22, Iss 878446, Pp 212-214 (2015)
Introduction and objective. [i]Ixodes ricinus[/i] is the most common tick species occurring in Central Europe and it serves as a principal vector of emerging human pathogens. The aim of this study was to determine the prevalence of [i]Babesia spp[/i]
Externí odkaz:
https://doaj.org/article/6eaf1c05b2244f248d0f5d722345de05
Autor:
Guendalina Capece, Paolo Bazzica
Publikováno v:
Sustainability
Volume 13
Issue 7
Sustainability, Vol 13, Iss 3945, p 3945 (2021)
Volume 13
Issue 7
Sustainability, Vol 13, Iss 3945, p 3945 (2021)
As a consequence of the Sars-CoV-2 pandemic, the causative agent of the COVID-19 coronavirus, the world is currently witnessing profound changes in everyday life. The infection and the resulting death number forecasts generate an increasing threat to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b60311d34e0060b7c774feae10d1012d
Autor:
Alessio Bazzica, Lennart Kolmodin, Henrik Lundin, Alex Narest, Olga Sharonova, Pablo Barrera Gonzalez, Thomas C. Walters, Florian Stimberg
Publikováno v:
ACSSC
We present WaveNetEQ, a novel packet loss concealment method based on a WaveRNN architecture. The model is conditioned on a log-mel spectrogram of the past signal to extract slow moving features, like voice characteristics and prosody and achieves si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3484f8bc639b33578781258393dd150
https://doi.org/10.1109/ieeeconf51394.2020.9443419
https://doi.org/10.1109/ieeeconf51394.2020.9443419
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