Raian Vargas Maretto
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
2
Active years
2014–2024
Best venue rank
C
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | IGARSS | User and Data-Centric Artificial Intelligence for Mapping Urban Deprivation in Multiple Cities Across the Globe. | Bedru Tareke, Paulo Silva Filho, Claudio Persello, Monika Kuffer, Raian Vargas Maretto, Jon Wang, ngela Abascal, Priam V. Pillai, Binti Singh, Juan Manuel D'Attoli, Caroline Kabaria, Julio Cesar Pedrassoli, Patricia Lustosa Brito, Peter Elias, Elio Atengenes, Andrea Ramrez Santiago |
| 2024 | IGARSS | Gathering, Structuring, and Analyzing the Space-Related Educational Programs and Their Courses at the Bachelor, Master, PhD, and Continuous Education Levels. | 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 Alisa Maddock, Emmanouil Detsis |
| 2024 | IGARSS | Selective Logging Detection Via Time-Series Satellite Images. | Xinyao Huang, Raian Vargas Maretto, Leila Maria Garcia Fonseca, Alfred Stein |
| 2023 | IGARSS | Hypersaline Tidal Flats Detection Using Deep Learning Over 37 Years of Landsat Data. | Maria Luize Pinheiro, Luiz Cortinhas, Cesar Guerreiro Diniz, Raian Vargas Maretto, Mateus Grellert |
| 2023 | IGARSS | Task Agnostic Cost Prediction Module for Semantic Labeling in Active Learning. | Srikumar Sastry, Nathan Jacobs, Mariana Belgiu, Raian Vargas Maretto |
| 2023 | IGARSS | Investigating Sar-Optical Deep Learning Data Fusion to Map the Brazilian Cerrado Vegetation with Sentinel Data. | Paulo Silva Filho, Claudio Persello, Raian Vargas Maretto, Renato Machado |
| 2023 | IGARSS | Deep Learning and Cloudy Optical Time Series: A Case of Study with LSTM to Map LULC in Pantanal. | Bruno Menini Matosak, Leila Maria Garcia Fonseca, Raian Vargas Maretto |
| 2021 | IGARSS | Detecting Clearcut Deforestation Employing Deep Learning Methods and SAR Time Series. | Evandro Carrijo Taquary, Leila M. G. Fonseca, Raian Vargas Maretto, Hugo N. Bendini, Bruno Menini Matosak, Sidnei J. S. Sant'Anna, Jos C. Mura |
| 2021 | IGARSS | Exploring a Deep Convolutional Neural Network and Geobia for Automatic Recognition of Brazilian Palm Swamps (Veredas) Using Sentinel-2 Optical Data. | Hugo N. Bendini, Leila M. G. Fonseca, Raian Vargas Maretto, Bruno Menini Matosak, Evandro Carrijo Taquary, Philipe S. Simes, Ricardo F. Haidar, Dalton de Morisson Valeriano |
| 2020 | IGARSS | Applying A Phenological Object-Based Image Analysis (Phenobia) for Agricultural Land Classification: A Study Case in the Brazilian Cerrado. | Hugo N. Bendini, Leila M. G. Fonseca, Anderson Reis Soares, Philippe Rufin, Marcel Schwieder, Marcos A. Rodrigues, Raian Vargas Maretto, Thales Sehn Krting, Pedro J. Leito, Ieda Del'Arco Sanches, Patrick Hostert |
| 2020 | IGARSS | Mapping Deforested Areas in the Cerrado Biome through Recurrent Neural Networks. | Bruno Menini Matosak, Raian Vargas Maretto, Thales Sehn Krting, Marcos Adami, Leila Maria Garcia Fonseca |
| 2019 | IGARSS | An Extensible and Easy-to-use Toolbox for Deep Learning Based Analysis of Remote Sensing Images. | Raian Vargas Maretto, Thales Sehn Krting, Leila Maria Garcia Fonseca |
| 2014 | WSC | A framework for modeling and simulating | Tiago Lima, Tiago G. S. Carneiro, Leandro Silva, Raquel Lana, Cludia T. Codeo, Izabel C. Reis, Raian Vargas Maretto, Leonardo B. L. Santos, Antnio Miguel Vieira Monteiro, Lliam Cesar de Castro Medeiros, Flvio Codeo Coelho |