Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Joris Guérin"'
Publikováno v:
Computational Intelligence. 38:1802-1830
Publikováno v:
Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.
Publikováno v:
Neurocomputing. 423:551-571
Recently, a common starting point for solving complex unsupervised image classification tasks is to use generic features, extracted with deep Convolutional Neural Networks (CNN) pretrained on a large and versatile dataset (ImageNet). However, in most
Publikováno v:
7th International Workshop on Safety and Security of Intelligent Vehicles (SSIV 2021) at IEEE/IFIP Intern. Conf. on Dependable Systems and Networks (DSN)
7th International Workshop on Safety and Security of Intelligent Vehicles (SSIV 2021) at IEEE/IFIP Intern. Conf. on Dependable Systems and Networks (DSN), Jun 2021, Taipei (virtual), Taiwan. ⟨10.1109/DSN-W52860.2021.00020⟩
DSN Workshops
7th International Workshop on Safety and Security of Intelligent Vehicles (SSIV 2021) at IEEE/IFIP Intern. Conf. on Dependable Systems and Networks (DSN), Jun 2021, Taipei (virtual), Taiwan. ⟨10.1109/DSN-W52860.2021.00020⟩
DSN Workshops
Unmanned Aerial Vehicles (UAVs) have the potential to be used for many applications in urban environments. However, allowing UAVs to fly above densely populated areas raises concerns regarding safety. One of the main safety issues is the possibility
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dafa5d2fcaf1c94633dadc4f67e3d79b
https://hal.archives-ouvertes.fr/hal-03213534
https://hal.archives-ouvertes.fr/hal-03213534
Autor:
Eduardo de O. Andrade, José Viterbo, Joris Guérin, Cristina Nader Vasconcelos, Flavia Bernardini
Publikováno v:
KES
Identifying malware has always been a great challenge. Much money and time has been invested by companies and governments to mitigate the impact of these threats. Nowadays, with the increasing amount of data available, it is possible to use more prec
Publikováno v:
ICMLA
Object Detection (OD) is an important task in Computer Vision with many practical applications. For some use cases, OD must be done on videos, where the object of interest has a periodic motion. In this paper, we formalize the problem of periodic OD,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6dce510b81596a7131ab1f189585b7a3
http://arxiv.org/abs/2009.14178
http://arxiv.org/abs/2009.14178
With the major adoption of automation for cities security, person re-identification (Re-ID) has been extensively studied recently. In this paper, we argue that the current way of studying person re-identification, i.e. by trying to re-identify a pers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e356361c920eef8643789cf2fbf32c1
http://arxiv.org/abs/2009.01377
http://arxiv.org/abs/2009.01377
Autor:
Alessandro Miani, Joris Guérin, Cosimo Distante, Andouglas Goncalves da Silva Junior, Luiz Marcos Garcia Gonçalves, Prisco Piscitelli, Gabriel Santos Garcia, Igor Gadelha Pereira
Publikováno v:
International Journal of Environmental Research and Public Health
International Journal of Environmental Research and Public Health, Vol 17, Iss 5115, p 5115 (2020)
Repositório Institucional da UnB
Universidade de Brasília (UnB)
instacron:UNB
Volume 17
Issue 14
International Journal of Environmental Research and Public Health, Vol 17, Iss 5115, p 5115 (2020)
Repositório Institucional da UnB
Universidade de Brasília (UnB)
instacron:UNB
Volume 17
Issue 14
The contribution of this paper is twofold. First, a new data driven approach for predicting the Covid-19 pandemic dynamics is introduced. The second contribution consists in reporting and discussing the results that were obtained with this approach f
Autor:
Joris Guérin, Luiz Marcos Garcia Gonçalves, Andouglas Goncalves da Silva Junior, Igor Gadelha Pereira, Cosimo Distante, Gabriel Santos Garcia
This paper has a twofold contribution. The first is a data driven approach for predicting the Covid-19 pandemic dynamics, based on data from more advanced countries. The second is to report and discuss the results obtained with this approach for Braz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ff11bceb26742e69927ac50b9695e58
https://doi.org/10.1101/2020.05.11.20098392
https://doi.org/10.1101/2020.05.11.20098392
Autor:
Rafael D. Guariento, Regina L. G. Nobre, Patrick T. Kelly, Fabíola da Costa Catombé Dantas, Eduardo Martins Venticinque, Joris Guérin, Luciana S. Carneiro, André Megali Amado, Leticia Barbosa Quesado, Fernando de Carvalho Araújo, Camila Rodrigues Cabral, Adriano Caliman, Michael J. Vanni
Publikováno v:
Science of The Total Environment. 716:137044
Globally, conversion of pristine areas to anthropogenic landscapes is one of the main causes of ecosystem service losses. Land uses associated with urbanization and farming can be major sources of pollution to freshwaters promoting artificial inputs