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Keiller Nogueira

University of Stirling

Stirling, FK9 4LA

United Kingdom

  • University of Stirling

SCHOLARLY PAPERS

3

DOWNLOADS

149

TOTAL CITATIONS

0

Scholarly Papers (3)

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1.

Integrating Remote Sensing and Machine Learning to Detect Turbidity Anomalies in Hydroelectric Reservoirs

Number of pages: 39 Posted: 09 May 2023
Anderson Paulino Souza, Bruno Oliveira, Mauren Andrade, Maria Clara V. M. Starling, Alexandre Pereira, Philippe Maillard, Keiller Nogueira, Jefersson Alex dos Santos and Camila Costa Amorim
Federal University of Minas Gerais (UFMG), Federal University of Minas Gerais (UFMG), Federal Technological University of Paraná, Federal University of Minas Gerais (UFMG), Federal University of Minas Gerais (UFMG), Federal University of Minas Gerais (UFMG), University of Stirling, University of Stirling and Federal University of Minas Gerais (UFMG)
Downloads 113 (630,858)

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Anomaly detection, satellite images, Water quality, monitoring.

2.

Facing the Void: Overcoming Missing Data in Multi-View Imagery

Number of pages: 14 Posted: 12 Aug 2022
Gabriel Silva Machado, Keiller Nogueira, Matheus B. Pereira and Jefersson A. dos Santos
affiliation not provided to SSRN, University of Stirling, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 26 (1,372,601)

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remote sensing, Image classification, Multi-Modal Machine Learning, Metric Learning, Cross-View Matching, Multi-view Missing Data Completion

3.

Dealing with the unknown: open-set deep learning enables realistictree species mapping in a Brazilian Woodland Savanna formation

Number of pages: 36 Posted: 28 Apr 2026
Gustavo Fiedler Rossi, Marcelo Antonio de Pinho Ferreira, Matheus Santos Fuza, Herbert Lincon Rodrigues Alves-dos-Santos, Otávio Magalhães Silva Souza, Rodrigo Pinto, Keiller Nogueira, Paulo G. Molin, Renato A. Ferreira de Lima, Natália M. Ivanauskas, Jérôme Chave and Matheus Pinheiro Ferreira
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of São Paulo (USP), University of Stirling, Federal University of São Carlos, affiliation not provided to SSRN, University College Cork - Environmental Research Institute, Centre National de la Recherche Scientifique and affiliation not provided to SSRN
Downloads 10 (1,541,665)

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Deep Learning, biodiversity mapping, open-set, tree species mapping