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Nathália Menini Cardoso dos Santos

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Universidade Estadual de Campinas (UNICAMP). Instituto de Computação (IC)  (Institutional affiliation for the last research proposal)
Birthplace: Brazil

Nathália Menini Cardoso dos Santos in research grants and scholarships supported by FAPESP.

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FAPESP support in numbers * Updated January 15, 2022
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Keywords used by the researcher
Scientific publications resulting from Research Grants and Scholarships under the grantee's responsibility (3)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

Data from Web of Science

NOGUEIRA, KEILLER; DOS SANTOS, JEFERSSON A.; MENINI, NATHALIA; SILVA, THIAGO S. F.; MORELLATO, LEONOR PATRICIA C.; TORRES, RICARDO DA S.. Spatio-Temporal Vegetation Pixel Classification by Using Convolutional Networks. IEEE Geoscience and Remote Sensing Letters, v. 16, n. 10, p. 1665-1669, . Web of Science Citations: 0. (16/26170-8, 13/50155-0, 09/54208-6, 13/50169-1, 18/06918-3)

MENINI, NATHALIA; ALMEIDA, ALEXANDRE E.; LAMPARELLI, RUBENS; LE MAIRE, GUERRIC; DOS SANTOS, JEFERSSON A.; PEDRINI, HELIO; HIROTA, MARINA; TORRES, RICARDO DA S.. A Soft Computing Framework for Image Classification Based on Recurrence Plots. IEEE Geoscience and Remote Sensing Letters, v. 16, n. 2, p. 320-324, . Web of Science Citations: 1. (13/50169-1, 17/12646-3, 15/02105-0, 14/50715-9, 16/26170-8, 18/06918-3, 14/12236-1, 13/50155-0)

ALBARRACIN, JUAN F. H.; OLIVEIRA, RAFAEL S.; HIROTA, MARINA; DOS SANTOS, JEFERSSON A.; TORRES, RICARDO DA S.. A Soft Computing Approach for Selecting and Combining Spectral Bands. REMOTE SENSING, v. 12, n. 14, . Web of Science Citations: 0. (15/02105-0, 14/50715-9, 13/50169-1, 16/08085-3, 14/12236-1, 17/12646-3, 16/26170-8, 13/50155-0, 18/06918-3)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

SANTOS, Nathália Menini Cardoso dos. Tools and study cases for the characterization of remote sensing time series : Ferramentas e estudos de caso para a caracterização de séries temporais de sensoriamento remoto. Dissertação (Mestrado) -  Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP).  (16/26170-8

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