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2020 – today
- 2024
[c16]Bedru Tareke, Paulo Silva Filho, Claudio Persello, Monika Kuffer, Raian Vargas Maretto, Jon Wang, Ángela Abascal, Priam Pillai, Binti Singh, Juan Manuel D'Attoli, Caroline Kabaria, Julio Cesar Pedrassoli, Patricia Lustosa Brito, Peter Elias, Elio Atenógenes, Andrea Ramírez Santiago:
User and Data-Centric Artificial Intelligence for Mapping Urban Deprivation in Multiple Cities Across the Globe. IGARSS 2024: 1553-1557- [c15]Mariana Belgiu, Yolla Al Asmar, Raian Vargas Maretto, Hanh La, Stanislav Ronzhin, Heidi Thiemann, Silva Kerkezian, Mari Kolehmainen, Jean-David Bodenan, Danijela Stupar, Nicolas Peter, George Petrakis, Christie Maddock, Emmanouil Detsis:
Gathering, Structuring, and Analyzing the Space-Related Educational Programs and Their Courses at the Bachelor, Master, PhD, and Continuous Education Levels. IGARSS 2024: 3732-3735 - [c14]Xinyao Huang, Raian Vargas Maretto, Leila Maria Garcia Fonseca, Alfred Stein:
Selective Logging Detection Via Time-Series Satellite Images. IGARSS 2024: 10399-10403 - 2023
- [c13]Paulo Silva Filho, Claudio Persello, Raian Vargas Maretto
, Renato Machado:
Investigating Sar-Optical Deep Learning Data Fusion to Map the Brazilian Cerrado Vegetation with Sentinel Data. IGARSS 2023: 1365-1368 - [c12]Maria Luize Pinheiro, Luiz Cortinhas, Cesar Guerreiro Diniz, Raian Vargas Maretto, Mateus Grellert:
Hypersaline Tidal Flats Detection Using Deep Learning Over 37 Years of Landsat Data. IGARSS 2023: 3337-3340 - [c11]Srikumar Sastry, Nathan Jacobs, Mariana Belgiu, Raian Vargas Maretto:
Task Agnostic Cost Prediction Module for Semantic Labeling in Active Learning. IGARSS 2023: 4990-4993 - [c10]Bruno Menini Matosak, Leila Maria Garcia Fonseca, Raian Vargas Maretto:
Deep Learning and Cloudy Optical Time Series: A Case of Study with LSTM to Map LULC in Pantanal. IGARSS 2023: 7179-7182 - 2022
- [j4]Bruno Menini Matosak, Leila Maria Garcia Fonseca, Evandro Carrijo Taquary, Raian Vargas Maretto, Hugo do Nascimento Bendini, Marcos Adami:
Mapping Deforestation in Cerrado Based on Hybrid Deep Learning Architecture and Medium Spatial Resolution Satellite Time Series. Remote. Sens. 14(1): 209 (2022) - 2021
- [j3]Raian Vargas Maretto, Leila M. G. Fonseca, Nathan Jacobs, Thales Sehn Körting, Hugo N. Bendini, Leandro Parente:
Spatio-Temporal Deep Learning Approach to Map Deforestation in Amazon Rainforest. IEEE Geosci. Remote. Sens. Lett. 18(5): 771-775 (2021) - [j2]Leila M. G. Fonseca, Thales Sehn Körting, Hugo do Nascimento Bendini, Cesare Di Girolamo Neto, Alana Kasahara Neves, Anderson Reis Soares, Evandro Carrijo Taquary, Raian Vargas Maretto:
Pattern Recognition and Remote Sensing techniques applied to Land Use and Land Cover mapping in the Brazilian Savannah. Pattern Recognit. Lett. 148: 54-60 (2021) - [j1]Xiaoyu Sun, Wufan Zhao, Raian Vargas Maretto, Claudio Persello:
Building Polygon Extraction from Aerial Images and Digital Surface Models with a Frame Field Learning Framework. Remote. Sens. 13(22): 4700 (2021) - [c9]Evandro Carrijo Taquary, Leila M. G. Fonseca, Raian Vargas Maretto, Hugo N. Bendini, Bruno Menini Matosak, Sidnei J. S. Sant'Anna, José C. Mura:
Detecting Clearcut Deforestation Employing Deep Learning Methods and SAR Time Series. IGARSS 2021: 4520-4523 - [c8]Hugo N. Bendini, Leila M. G. Fonseca, Raian Vargas Maretto, Bruno Menini Matosak, Evandro Carrijo Taquary, Philipe S. Simões, Ricardo F. Haidar, Dalton de Morisson Valeriano:
Exploring a Deep Convolutional Neural Network and Geobia for Automatic Recognition of Brazilian Palm Swamps (Veredas) Using Sentinel-2 Optical Data. IGARSS 2021: 5401-5404 - 2020
- [c7]Hugo N. Bendini, Leila M. G. Fonseca, Anderson Reis Soares, Philippe Rufin, Marcel Schwieder, Marcos A. Rodrigues, Raian Vargas Maretto, Thales Sehn Körting, Pedro J. Leitão, Ieda Del'Arco Sanches, Patrick Hostert:
Applying A Phenological Object-Based Image Analysis (Phenobia) for Agricultural Land Classification: A Study Case in the Brazilian Cerrado. IGARSS 2020: 1078-1081 - [c6]Bruno Menini Matosak, Raian Vargas Maretto, Thales Sehn Körting, Marcos Adami, Leila Maria Garcia Fonseca:
Mapping Deforested Areas in the Cerrado Biome through Recurrent Neural Networks. IGARSS 2020: 1389-1392
2010 – 2019
- 2019
- [c5]Raian Vargas Maretto, Thales Sehn Körting, Leila Maria Garcia Fonseca:
An Extensible and Easy-to-use Toolbox for Deep Learning Based Analysis of Remote Sensing Images. IGARSS 2019: 9815-9818 - 2015
- [c4]Raian Vargas Maretto, Thales Sehn Körting, Emiliano Ferreira Castejon, Leila Maria Garcia Fonseca, Rafael D. C. Santos:
Spectral Attributes Selection based on Data Mining for Remote Sensing Image Classification. GEOINFO 2015: 155-161 - 2014
- [c3]Tiago Lima, Tiago G. S. Carneiro, Leandro Silva, Raquel Lana, Cláudia T. Codeço, Izabel C. Reis, Raian Vargas Maretto, Leonardo B. L. Santos, Antônio Miguel Vieira Monteiro, Líliam Cesar de Castro Medeiros, Flávio Codeço Coelho:
A framework for modeling and simulating aedes aegypti and dengue fever dynamics. WSC 2014: 1481-1492 - 2011
- [c2]Leonardo Bacelar Lima Santos, Raian Vargas Maretto, Líliam Cesar de Castro Medeiros, Flávia da Fonseca Feitosa, Antônio Miguel Vieira Monteiro:
A Susceptible-Infected Model for Exploring the Effects of Neighborhood Structures on Epidemic Processes - A Segregation Analysis. GEOINFO 2011: 85-96
2000 – 2009
- 2008
- [c1]Tiago G. S. Carneiro, Gilberto Câmara, Raian Vargas Maretto:
Irregular Cellular Spaces: Supporting Realistic Spatial Dynamic Modeling over Geographical Databases. GEOINFO 2008: 109-120
Coauthor Index
aka: Leila Maria Garcia Fonseca
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last updated on 2024-10-07 22:22 CEST by the dblp team
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