Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Newton Spolaôr"'
Publikováno v:
Applied Artificial Intelligence, Vol 31, Iss 9-10, Pp 764-791 (2017)
Feature selection, an important combinatorial optimization problem in data mining, aims to find a reduced subset of features of high quality in a dataset. Different categories of importance measures can be used to estimate the quality of a feature su
Externí odkaz:
https://doaj.org/article/95e1adb74ad2451d8662045376581258
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 8, Iss 100 (2015)
Feature selection can remove non-important features from the data and promote better classifiers. This task, when applied to multi-label data where each instance is associated with a set of labels, supports emerging applications. Although multi-label
Externí odkaz:
https://doaj.org/article/ec525308ded546d4a339d6bce58abdb1
Autor:
Newton Spolaôr
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USPUniversidade de São PauloUSP.
A presença de atributos não importantes, i.e., atributos irrelevantes ou redundantes nos dados, pode prejudicar o desempenho de classificadores gerados a partir desses dados por algoritmos de aprendizado de máquina. O objetivo de algoritmos de sel
Autor:
Cláudio Saddy Rodrigues Coy, Leandro Augusto Ensina, Feng Chung Wu, Huei Diana Lee, Antonio Rafael Sabino Parmezan, Jefferson Tales Oliva, Weber Shoity Resende Takaki, Newton Spolaôr
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Using the voice to interact with systems is attractive in medicine and other areas due to its friendliness and flexibility. Video indexing and retrieval have benefited from this resource. However, few initiatives use speech recognition to support bot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77e1fbd5c8108056971269f67373a912
https://doi.org/10.1007/s11042-021-11401-1
https://doi.org/10.1007/s11042-021-11401-1
Autor:
Ana Paula Merencia, Huei Diana Lee, Weber Takaki, Newton Spolaôr, Matheus Maciel, Wu Feng Chung
Publikováno v:
REVISTA FOCO. 16:e1406
Grande parte dos métodos de análise de movimentos do corpo humano não considera as peculiaridades da resposta mecânica corporal em cada plano anatômico. Nesse contexto, sensores inerciais triaxiais, como o acelerômetro, oferecem dados que permi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f956b05913a4cb3d3376c25e66443ff
https://doi.org/10.54751/revistafoco.v16n3-112
https://doi.org/10.54751/revistafoco.v16n3-112
Autor:
Feng C. Wu, Huei D. Lee, Newton Spolaôr, Moacir F. Junior, Weber S. R. Takaki, Claudio S. R. Coy, João J. Fagundes, Raquel F. Leal, Renato B. Machado, Maria de L. S. Ayrizono
Publikováno v:
Soft Computing and Fuzzy Methodologies in Innovation Management and Sustainability ISBN: 9783030961497
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b9c3a9c8e1d0b64319ceec2bef59881
https://doi.org/10.1007/978-3-030-96150-3_9
https://doi.org/10.1007/978-3-030-96150-3_9
Autor:
Feng Chung Wu, Weber Shoity Resende Takaki, Huei Diana Lee, Narco Afonso Ravazzoli Maciejewski, Newton Spolaôr, Leandro Augusto Ensina
Publikováno v:
IEEE Latin America Transactions. 17:444-452
Computational technologies are increasingly included in our lives, presenting themselves as indispensable tools in most human activities and benefiting different areas of knowledge, such as the medical one. In this way, it is essential that the compu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d62a4c1069a6264393dbec892150701
https://doi.org/10.1109/tla.2019.8863315
https://doi.org/10.1109/tla.2019.8863315
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Feature selection in real-world data mining problems is essential to make the learning task efficient and more accurate. Identifying the best feature selection algorithm, among the many available, is a complex activity that still relies heavily on hu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1de017339361674333265b819e4e220b
Autor:
Leandro Augusto Ensina, Antonio Rafael Sabino Parmezan, Claudio S. R. Coy, A. Mendes, Rui Fonseca-Pinto, Weber Shoity Resende Takaki, Feng C. Wu, Huei Diana Lee, Conceição V. Nogueira, Newton Spolaôr
Publikováno v:
Computational Intelligence for Business Analytics ISBN: 9783030738181
Melanoma, the most dangerous skin cancer, is sometimes associated with a nevus, a relatively common skin lesion. To find early melanoma, nevus, and other lesions, dermoscopy is often used. In this context, intelligent methods have been applied in der
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1ae23811bda2a7f8600ad1c379d04cd
https://doi.org/10.1007/978-3-030-73819-8_7
https://doi.org/10.1007/978-3-030-73819-8_7
Autor:
Jefferson Tales Oliva, Newton Spolaôr, João José Fagundes, Cláudio Saddy Rodrigues Coy, Weber Shoity Resende Takaki, Huei Diana Lee, Feng Chung Wu
Publikováno v:
Expert Systems with Applications. 115:37-56
We have developed, in collaboration with medical and computer experts, the ontology-based Medical Report Mapping Process to support the transformation of unstructured reports into a structured representation. Nevertheless, the techniques employed in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b05ee1af5af919f1c98e56251db9c6a
https://doi.org/10.1016/j.eswa.2018.08.004
https://doi.org/10.1016/j.eswa.2018.08.004