Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Victor G. Turrisi Da Costa"'
Autor:
Jessica Fernandes Lopes, Victor G. Turrisi da Costa, Douglas F. Barbin, Luis Jam Pier Cruz-Tirado, Vincent Baeten, Sylvio Barbon Junior
Publikováno v:
Multimedia Tools and Applications. 81:41059-41077
Cocoa hybridisation generates new varieties which are resistant to several plant diseases, but has individual chemical characteristics that affect chocolate production. Image analysis is a useful method for visual discrimination of cocoa beans, while
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e74515673e65106685d68843b332ac88
https://doi.org/10.1007/s11042-022-13097-3
https://doi.org/10.1007/s11042-022-13097-3
Autor:
Victor G. Turrisi da Costa, Giacomo Zara, Paolo Rota, Thiago Oliveira-Santos, Nicu Sebe, Vittorio Murino, Elisa Ricci
Over the last few years, Unsupervised Domain Adaptation (UDA) techniques have acquired remarkable importance and popularity in computer vision. However, when compared to the extensive literature available for images, the field of videos is still rela
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c09d06c2a071a918dd53a8b74e343a0
http://arxiv.org/abs/2207.12842
http://arxiv.org/abs/2207.12842
Autor:
Victor G. Turrisi da Costa, Giacomo Zara, Paolo Rota, Thiago Oliveira-Santos, Nicu Sebe, Vittorio Murino, Elisa Ricci
Publikováno v:
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Unsupervised domain adaptation (UDA) methods have become very popular in computer vision. However, while several techniques have been proposed for images, much less attention has been devoted to videos. This paper introduces a novel UDA approach for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3171c58cf8646e0282111aa05b221c59
http://hdl.handle.net/11562/1060955
http://hdl.handle.net/11562/1060955
Autor:
Enrico Fini, Victor G. Turrisi Da Costa, Xavier Alameda-Pineda, Elisa Ricci, Karteek Alahari, Julien Mairal
Publikováno v:
CVPR 2022-IEEE/CVF Conference on Computer Vision and Pattern Recognition
CVPR 2022-IEEE/CVF Conference on Computer Vision and Pattern Recognition, Jun 2022, New Orleans, United States. pp.9611-9620, ⟨10.1109/CVPR52688.2022.00940⟩
CVPR 2022-IEEE/CVF Conference on Computer Vision and Pattern Recognition, Jun 2022, New Orleans, United States. pp.9611-9620, ⟨10.1109/CVPR52688.2022.00940⟩
International audience; Self-supervised models have been shown to produce comparable or better visual representations than their supervised counterparts when trained offline on unlabeled data at scale. However, their efficacy is catastrophically redu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8262add4fab99b997aace86b7c0252f
http://arxiv.org/abs/2112.04215
http://arxiv.org/abs/2112.04215
Autor:
Vinicius Eiji Martins, Paolo Ceravolo, Gabriel Marques Tavares, Victor G. Turrisi da Costa, Sylvio Barbon
Publikováno v:
iSys - Brazilian Journal of Information Systems. 12:54-75
Identifying fraudulent or anomalous business procedures is today a key challenge for organisations of any dimension. Nonetheless, the continuous nature of business activities conveys to the continuous acquisition of data in support of business proces
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2388c3cb14804cfeff4a8b1665ea3c2
https://doi.org/10.5753/isys.2019.383
https://doi.org/10.5753/isys.2019.383
Autor:
Jessica Fernandes Lopes, Everton Jose Santana, Bruno Bogaz Zarpelão, Victor G. Turrisi da Costa, Sylvio Barbon Junior
Edge computing (EC) is a promising technology capable of bridging the gap between Cloud computing services and the demands of emerging technologies such as the Internet of Things (IoT). Most EC-based solutions, from wearable devices to smart cities a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6bffca90dc4290e96c13a070c839e7d
https://hdl.handle.net/11368/3014641
https://hdl.handle.net/11368/3014641
Publikováno v:
Intelligent Systems ISBN: 9783030613792
BRACIS (2)
BRACIS (2)
As technology evolves and electronic devices become widespread, the amount of data produced in the form of stream increases in enormous proportions. Data streams are an online source of data, meaning that it keeps producing data continuously. This cr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::894e6c0ab1937a929cf7d78c0337114b
https://hdl.handle.net/11368/3037309
https://hdl.handle.net/11368/3037309
Autor:
Victor G. Turrisi da Costa, Rodrigo Sanches Miani, Bruno Bogaz Zarpelão, Sylvio Barbon Junior, Vitor Hugo Bezerra
Publikováno v:
Sensors
Volume 19
Issue 14
Sensors (Basel, Switzerland)
Sensors, Vol 19, Iss 14, p 3188 (2019)
Volume 19
Issue 14
Sensors (Basel, Switzerland)
Sensors, Vol 19, Iss 14, p 3188 (2019)
Internet of Things (IoT) devices have become increasingly widespread. Despite their potential of improving multiple application domains, these devices have poor security, which can be explored by attackers to build large-scale botnets. In this work,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5615fccf18f64a02351fcaa11d4620e
Autor:
Ernesto Damiani, Paolo Ceravolo, Gabriel Marques Tavares, Sylvio Barbon Junior, Victor G. Turrisi da Costa
Publikováno v:
SCC
Process mining uses business event logs to understand the flow of activities, to identify anomalous cases and to enhance processes. Today, real-time process mining tools mainly deal with a single task at a time (process discovery, conformance checkin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd6f72a8f964d473bdf77dbea2598cd5
https://doi.org/10.1109/scc.2019.00037
https://doi.org/10.1109/scc.2019.00037
Publikováno v:
BRACIS
As more data are produced each day, and faster, data stream mining is growing in importance, making clear the need for algorithms able to fast process these data. Data stream mining algorithms are meant to be solutions to extract knowledge online, sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab0e8d2f5e7e3271c8c54d0e4cd1aa46
https://hdl.handle.net/11368/3004492
https://hdl.handle.net/11368/3004492