Zobrazeno 1 - 10
of 654
pro vyhledávání: '"Martins, Rafael A."'
Autor:
Fujiwara, Takanori, Kucher, Kostiantyn, Wang, Junpeng, Martins, Rafael M., Kerren, Andreas, Ynnerman, Anders
Research in ML4VIS investigates how to use machine learning (ML) techniques to generate visualizations, and the field is rapidly growing with high societal impact. However, as with any computational pipeline that employs ML processes, ML4VIS approach
Externí odkaz:
http://arxiv.org/abs/2409.02485
Dimensionality Reduction (DR) techniques such as t-SNE and UMAP are popular for transforming complex datasets into simpler visual representations. However, while effective in uncovering general dataset patterns, these methods may introduce artifacts
Externí odkaz:
http://arxiv.org/abs/2402.06885
Autor:
Sousa, Frederico B., Nadas, Rafael Battistella, Martins, Rafael, Barboza, Ana P. M., Soares, Jaqueline S., Neves, Bernardo R. A., Silvestre, Ive, Jorio, Ado, Malard, Leandro M.
The role of defects in two-dimensional semiconductors and how they affect the intrinsic properties of these materials have been a wide researched topic over the past decades. Optical characterization such as photoluminescence and Raman spectroscopies
Externí odkaz:
http://arxiv.org/abs/2401.11984
As the complexity of machine learning (ML) models increases and their application in different (and critical) domains grows, there is a strong demand for more interpretable and trustworthy ML. A direct, model-agnostic, way to interpret such models is
Externí odkaz:
http://arxiv.org/abs/2304.00133
Autor:
Cardoso, Alessandra Timóteo1 (AUTHOR), Martins, Rafael Oliveira1 (AUTHOR), Lanças, Fernando Mauro1 (AUTHOR) flancas@iqsc.usp.br
Publikováno v:
Molecules. Aug2024, Vol. 29 Issue 15, p3661. 28p.
Autor:
Martins, Rafael Oliveira, Junior, Almir Custodio Batista, Machado, Lucas Santos, Chaves, Andréa Rodrigues
Publikováno v:
In Green Analytical Chemistry September 2024 10
Publikováno v:
Information Visualization, 2021, 22(2), 115-139
Bagging and boosting are two popular ensemble methods in machine learning (ML) that produce many individual decision trees. Due to the inherent ensemble characteristic of these methods, they typically outperform single decision trees or other ML mode
Externí odkaz:
http://arxiv.org/abs/2112.00334
Autor:
Martins, Rafael Oliveira, Batista Junior, Almir Custodio, Melo Brito, Camila Cíntia Sousa, Rocha, Yuri Arrates, Chaves, Andréa Rodrigues
Publikováno v:
In Journal of Pharmaceutical and Biomedical Analysis Open December 2024 4
Dimensionality reduction (DR) techniques help analysts to understand patterns in high-dimensional spaces. These techniques, often represented by scatter plots, are employed in diverse science domains and facilitate similarity analysis among clusters
Externí odkaz:
http://arxiv.org/abs/2106.07718
Autor:
Lataliza-Carvalho, Núbia L., Cotta, Rafaela F., Martins, Rafael A., da Silva Rocha, Kelly A., Kozhevnikova, Elena F., Kozhevnikov, Ivan V., Gusevskaya, Elena V.
Publikováno v:
In Molecular Catalysis 1 February 2024 554