Irregular Cellular Spaces: Supporting Realistic Spatial Dynamic Modeling over Geographical Databases. - Tiago G. S. Carneiro; Gilberto Câmara; Raian Vargas Maretto (GEOINFO, 2008)

A Susceptible-Infected Model for Exploring the Effects of Neighborhood Structures on Epidemic Processes - A Segregation Analysis. - Leonardo Bacelar Lima Santos; Raian Vargas Maretto; Líliam Cesar de Castro Medeiros; Flávia da Fonseca Feitosa; Antônio Miguel Vieira Monteiro (GEOINFO, 2011)

A framework for modeling and simulating aedes aegypti and dengue fever dynamics. - 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 (WSC, 2014)

Spectral Attributes Selection based on Data Mining for Remote Sensing Image Classification. - Raian Vargas Maretto; Thales Sehn Körting; Emiliano Ferreira Castejon; Leila Maria Garcia Fonseca; Rafael D. C. Santos (GEOINFO, 2015)

An Extensible and Easy-to-use Toolbox for Deep Learning Based Analysis of Remote Sensing Images. - Raian Vargas Maretto; Thales Sehn Körting; Leila Maria Garcia Fonseca (IGARSS, 2019)

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 002; Raian Vargas Maretto; Thales Sehn Körting; Pedro J. Leitão; Ieda Del'Arco Sanches; Patrick Hostert (IGARSS, 2020)

Mapping Deforested Areas in the Cerrado Biome through Recurrent Neural Networks. - Bruno Menini Matosak; Raian Vargas Maretto; Thales Sehn Körting; Marcos Adami; Leila Maria Garcia Fonseca (IGARSS, 2020)

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. Simões; Ricardo F. Haidar; Dalton de Morisson Valeriano (IGARSS, 2021)

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; José C. Mura (IGARSS, 2021)

Spatio-Temporal Deep Learning Approach to Map Deforestation in Amazon Rainforest. - Raian Vargas Maretto; Leila M. G. Fonseca; Nathan Jacobs; Thales Sehn Körting; Hugo N. Bendini; Leandro Parente (IEEE Geosci. Remote. Sens. Lett., 2021)

Pattern Recognition and Remote Sensing techniques applied to Land Use and Land Cover mapping in the Brazilian Savannah. - 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 Recognit. Lett., 2021)

Building Polygon Extraction from Aerial Images and Digital Surface Models with a Frame Field Learning Framework. - Xiaoyu Sun; Wufan Zhao; Raian Vargas Maretto; Claudio Persello (Remote. Sens., 2021)

Mapping Deforestation in Cerrado Based on Hybrid Deep Learning Architecture and Medium Spatial Resolution Satellite Time Series. - Bruno Menini Matosak; Leila Maria Garcia Fonseca; Evandro Carrijo Taquary; Raian Vargas Maretto; Hugo do Nascimento Bendini; Marcos Adami (Remote. Sens., 2022)

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 (IGARSS, 2023)

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 (IGARSS, 2023)

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 (IGARSS, 2023)

Task Agnostic Cost Prediction Module for Semantic Labeling in Active Learning. - Srikumar Sastry; Nathan Jacobs; Mariana Belgiu; Raian Vargas Maretto (IGARSS, 2023)

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; et al. (IGARSS, 2024)

Selective Logging Detection Via Time-Series Satellite Images. - Xinyao Huang; Raian Vargas Maretto; Leila Maria Garcia Fonseca; Alfred Stein (IGARSS, 2024)

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; Ángela Abascal; Priam V. Pillai; Binti Singh; Juan Manuel D'Attoli; Caroline Kabaria; Julio Cesar Pedrassoli; et al. (IGARSS, 2024)

Mapping Deprived Urban Areas with an Optimized Loss-weight Feature-guided Deep Learning Model. - Paulo Silva Filho; Bedru Tareke; Claudio Persello; Raian Vargas Maretto; Renato Machado; Monika Kuffer; Ángela Abascal; Jon Wang (JURSE, 2025)