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Biography

Ph.D. in Applied Computing at National Institute for Space Research in the area of ​​Deep Learning, Computer Vision and Neurocomputation. Master in Applied Computing at National Institute for Space Research (INPE), working in the area of ​​Artificial Intelligence in the context of Pattern Recognition and Classification by Neural Networks, Fuzzy Systems and Deep Learning. Acting in the development of techniques in Machine Learning and Signal Processing, for applications of analysis and classification of astronomical data, in particular, spectral analysis of type Ia Supernova stars. Computer Engineer from the University of Taubaté (UNITAU), acting mainly in following themes: Computational performance; Android Application Development; Development of solutions in Computer Networks; Analysis and Solutions in Computational Optimization Methods; Development of applications for multiplayer games and for mobile devices.

Activities

Education and qualifications (3)

National Institute for Space Research: São José dos Campos, SP, BR

2018-02-01 to 2022-08-12 | Ph.D in Applied Computing (Lab for Computing and Applied Mathematics)
Education
Source: Self-asserted source
Luis Ricardo Arantes Filho

National Institute for Space Research: São José dos Campos, SP, BR

2016-01-01 to 2018-04-20 | MSc in Applied Computing (Lab for Computing and Applied Mathematics)
Education
Source: Self-asserted source
Luis Ricardo Arantes Filho

Universidade de Taubaté: Taubate, SP, BR

2011-01-01 to 2015-12-02 | Engenharia de Computação (Departamento de Informática)
Education
Source: Self-asserted source
Luis Ricardo Arantes Filho

Works (8)

NOVAS ABORDAGENS DE APRENDIZAGEM DE MÁQUINA PARA CLASSIFICAÇÃO DE DADOS ASTROFÍSICOS

National Institute for Space Research
2022 | Dissertation or Thesis
Contributors: Luis Ricardo Arantes Filho
Source: Self-asserted source
Luis Ricardo Arantes Filho

Predicting COVID-19 cases in various scenarios using RNN-LSTM models aided by adaptive linear regression to identify data anomalies

Anais da Academia Brasileira de Ciências
2022 | Journal article
Contributors: LUIS RICARDO ARANTES FILHO; MARCOS L. RODRIGUES; REINALDO R. ROSA; LAMARTINE N.F. GUIMARÃES
Source: check_circle
Crossref

Intelligent Supernovae Classification Systems in the KDUST context

Anais da Academia Brasileira de Ciências
2021 | Journal article
Contributors: LUÍS R. ARANTES FILHO; REINALDO R. ROSA; LAMARTINE N.F. GUIMARÃES
Source: check_circle
Crossref

Classificação Inteligente de Eventos Extremos Utilizando Redes Neurais e HOG em Imagens de Satélite

CNMAC 2019 - XXXIX Congresso Nacional de Matemática Aplicada e Computacional
2020-02-20 | Journal article
Source: Self-asserted source
Luis Ricardo Arantes Filho

SUZAN: Modelo Fuzzy para Classificação Espectral de Dados de Supernovas Ia

CNMAC 2019 - XXXIX Congresso Nacional de Matemática Aplicada e Computacional
2020-02-20 | Journal article
Source: Self-asserted source
Luis Ricardo Arantes Filho

Estratégia de dupla filtragem utilizando o filtro de Savitzky-Golay em dados espectrais de supernovas

Revista Brasileira de Computação Aplicada
2019-06-26 | Journal article
Part of ISSN: 2176-6649
Source: Self-asserted source
Luis Ricardo Arantes Filho

CINTIA 2: uma hierarquia de redes neurais artificiais binárias para classificação inteligente de supernovas

Revista Brasileira de Computação Aplicada
2019-05-22 | Journal article
Part of ISSN: 2176-6649
Source: Self-asserted source
Luis Ricardo Arantes Filho
grade
Preferred source (of 2)‎

Intelligent Classification of Supernovae Using Artificial Neural Networks

Inteligencia Artificial
2019-02-22 | Journal article
Part of ISSN: 1988-3064
Part of ISSN: 1137-3601
Source: Self-asserted source
Luis Ricardo Arantes Filho