Raian Vargas Maretto
Orcid: 0000-0002-4983-2700
According to our database1,
Raian Vargas Maretto
authored at least 20 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
2008
2010
2012
2014
2016
2018
2020
2022
2024
0
1
2
3
4
5
6
1
3
3
4
2
2
1
1
1
1
1
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
User and Data-Centric Artificial Intelligence for Mapping Urban Deprivation in Multiple Cities Across the Globe.
Proceedings of the IGARSS 2024, 2024
Proceedings of the IGARSS 2024, 2024
Gathering, Structuring, and Analyzing the Space-Related Educational Programs and Their Courses at the Bachelor, Master, PhD, and Continuous Education Levels.
Proceedings of the IGARSS 2024, 2024
2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Deep Learning and Cloudy Optical Time Series: A Case of Study with LSTM to Map LULC in Pantanal.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Investigating Sar-Optical Deep Learning Data Fusion to Map the Brazilian Cerrado Vegetation with Sentinel Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
Mapping Deforestation in Cerrado Based on Hybrid Deep Learning Architecture and Medium Spatial Resolution Satellite Time Series.
Remote. Sens., 2022
2021
Building Polygon Extraction from Aerial Images and Digital Surface Models with a Frame Field Learning Framework.
Remote. Sens., 2021
Pattern Recognition and Remote Sensing techniques applied to Land Use and Land Cover mapping in the Brazilian Savannah.
Pattern Recognit. Lett., 2021
IEEE Geosci. Remote. Sens. Lett., 2021
Detecting Clearcut Deforestation Employing Deep Learning Methods and SAR Time Series.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Exploring a Deep Convolutional Neural Network and Geobia for Automatic Recognition of Brazilian Palm Swamps (Veredas) Using Sentinel-2 Optical Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
Applying A Phenological Object-Based Image Analysis (Phenobia) for Agricultural Land Classification: A Study Case in the Brazilian Cerrado.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
An Extensible and Easy-to-use Toolbox for Deep Learning Based Analysis of Remote Sensing Images.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2015
Spectral Attributes Selection based on Data Mining for Remote Sensing Image Classification.
Proceedings of the XVI Brazilian Symposium on GeoInformatics, Campos do Jordão, São Paulo, Brazil, November 29, 2015
2014
A framework for modeling and simulating <i>aedes aegypti</i> and dengue fever dynamics.
Proceedings of the 2014 Winter Simulation Conference, 2014
2011
A Susceptible-Infected Model for Exploring the Effects of Neighborhood Structures on Epidemic Processes - A Segregation Analysis.
Proceedings of the XII Brazilian Symposium on Geoinformatics, 2011
2008
Irregular Cellular Spaces: Supporting Realistic Spatial Dynamic Modeling over Geographical Databases.
Proceedings of the X Brazilian Symposium on Geoinformatics, 2008