Zobrazeno 1 - 10
of 144
pro vyhledávání: '"Marcilio C"'
Autor:
MARIA ELIZABETH ZUCOLOTTO, AMANDA A. TOSI, CAIO V.N. VILLAÇA, ANDRÉ L.R. MOUTINHO, DIANA P.P. ANDRADE, FABIANO FAULSTICH, ANGELO M.S. GOMES, DEBORA C. RIOS, MARCILIO C. ROCHA
Publikováno v:
Anais da Academia Brasileira de Ciências, Iss 0 (2018)
ABSTRACT Serra Pelada is the newest Brazilian eucrite and the first recovered fall from Amazonia (State of Pará, Brazil, June 29th 2017). In this paper, we report on its petrography, chemistry, mineralogy and its magnetic properties. Study of four t
Externí odkaz:
https://doaj.org/article/22f42e3f4de64296a147f09a62b6d643
A variety of clustering criteria has been applied as an objective function in Evolutionary Multi-Objective Clustering approaches (EMOCs). However, most EMOCs do not provide detailed analysis regarding the choice and usage of the objective functions.
Externí odkaz:
http://arxiv.org/abs/2206.09483
Evolutionary multi-objective clustering (EMOC), a modern clustering technique, has been widely applied to extract patterns, allowing us to analyze different aspects of complex data by considering multiple criteria. In this article, we present an anal
Externí odkaz:
http://arxiv.org/abs/2110.08100
We present a data-driven analysis of MOCK, $\Delta$-MOCK, and MOCLE. These are three closely related approaches that use multi-objective optimization for crisp clustering. More specifically, based on a collection of 12 datasets presenting different p
Externí odkaz:
http://arxiv.org/abs/2110.07521
Characteristics extracted from the training datasets of classification problems have proven to be effective predictors in a number of meta-analyses. Among them, measures of classification complexity can be used to estimate the difficulty in separatin
Externí odkaz:
http://arxiv.org/abs/1808.03591
Akademický článek
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Autor:
André C. P. L. F. de Carvalho, Ana Carolina Lorena, Marcilio C. P. de Souto, Luís P. F. Garcia, Victor H. Barella
Publikováno v:
Information Sciences
Information Sciences, Elsevier, 2021, 553, pp.83-109. ⟨10.1016/j.ins.2020.12.006⟩
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Information Sciences, Elsevier, 2021, 553, pp.83-109. ⟨10.1016/j.ins.2020.12.006⟩
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Imbalanced datasets are an important challenge in supervised Machine Learning (ML). According to the literature, class imbalance does not necessarily impose difficulties for ML algorithms. Difficulties mainly arise from other characteristics, such as
Autor:
Lucas F. F. Albuquerque, Maria Victoria Souto, Felipe Saldanha-Araujo, Juliana Lott Carvalho, Tais Gratieri, Marcilio Cunha-Filho, Guilherme M. Gelfuso
Publikováno v:
Chemistry, Vol 6, Iss 2, Pp 272-282 (2024)
Ibrutinib (IBR) is a tyrosine kinase inhibitor investigated for treating solid and non-solid tumors. Considering the advantages that a topical application of IBR could generate in terms of dose reduction and side effects in skin cancer treatment, thi
Externí odkaz:
https://doaj.org/article/401779a63ef64831b15ea74756506a39
Publikováno v:
SAC
Proc. of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing
Proc. of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, Mar 2021, Korea, France. pp.1021-1029, ⟨10.1145/3412841.3441978⟩
Proc. of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing
Proc. of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, Mar 2021, Korea, France. pp.1021-1029, ⟨10.1145/3412841.3441978⟩
One common parameter of many clustering algorithms is the number k of clusters required to partition the data. This is the case of k-means, one of the most popular clustering algorithms from the Machine Learning literature, and its variants. Indeed,
Akademický článek
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