Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Alexandru Cristian Telea"'
Publikováno v:
Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030948924
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be80c02af37d401ca632eae442ad7f80
https://doi.org/10.1007/978-3-030-94893-1_6
https://doi.org/10.1007/978-3-030-94893-1_6
Publikováno v:
Anais Estendidos da XXXIV Conference on Graphics, Patterns and Images (SIBRAPI Estendido 2021).
Many brain anomalies are associated with abnormal asymmetries. To detect and/or segment such anomalies in brain images, most automatic methods rely on supervised learning. This requires a large number of high-quality annotated training images, which
Autor:
Mateus Espadoto
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USP
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
In the wake of the revolution brought by Deep Learning, we believe neural networks can be leveraged as a tool in the service of dimensionality reduction (DR) for understanding large datasets with many dimensions (measurements). In this work, we prese
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ca936bc3d1e59c24ad627e952ec3bab
https://doi.org/10.33612/diss.166005659
https://doi.org/10.33612/diss.166005659
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USP
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Machine learning classifiers construct decision boundaries that partition data space into a set of regions to which labels are assigned. Understanding these decision boundaries can notably help the actual practical usage of such classifiers (by answe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd34289e6257a2bbf55c33f48f6e5c3b
https://doi.org/10.11606/t.45.2020.tde-27112020-071803
https://doi.org/10.11606/t.45.2020.tde-27112020-071803
Autor:
Lucas de Carvalho Pagliosa
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USP
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Technology advances have allowed and inspired the study of data produced along time from applications such as health treatment, biology, sentiment analysis, and entertainment. Those types of data, typically referred to as time series or data streams,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e553ea248124a3102c33d3d4235d9a98
https://doi.org/10.11606/t.55.2020.tde-10062020-100009
https://doi.org/10.11606/t.55.2020.tde-10062020-100009
Autor:
Danilo Barbosa Coimbra
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USP
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
The continuously advent of new technologies have made a rich and growing type of information sources available to analyses and investigation. In this context, multidimensional data analysis is considerably important when dealing with such large and c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b80193c002569febb1ea80f79b548e22
https://doi.org/10.11606/t.55.2016.tde-11112016-184130
https://doi.org/10.11606/t.55.2016.tde-11112016-184130