An open source object-based framework to extract landform classes. - Flavio Fortes Camargo; Cláudia Maria de Almeida; Gilson Alexandre Ostwald Pedro da Costa; Raul Queiroz Feitosa; Dário Augusto Borges Oliveira; Christian Heipke; Rodrigo S. Ferreira (Expert Syst. Appl., 2012)

On the architecture of a big data classification tool based on a map reduce approach for hyperspectral image analysis. - Victor Andres Ayma; Rodrigo S. Ferreira; Patrick Nigri Happ; Dário Augusto Borges Oliveira; Gilson A. O. P. Costa; Raul Queiroz Feitosa; Antonio J. Plaza; Paolo Gamba (IGARSS, 2015)

Towards distributed region growing image segmentation based on MapReduce. - Patrick Nigri Happ; Rodrigo S. Ferreira; Gilson A. O. P. Costa; Raul Queiroz Feitosa; Cristiana Bentes; Paolo Gamba (IGARSS, 2015)

Multi-scale Evaluation of Texture Features for Salt Dome Detection. - Rodrigo da Silva Ferreira; Andréa Britto Mattos; Emilio Vital Brazil; Renato Cerqueira; Marco Ferraz; Sergio Cersósimo (ISM, 2016)

A Cloud Computing Strategy for Region-Growing Segmentation. - Patrick Nigri Happ; Gilson Alexandre Ostwald Pedro da Costa; Cristiana Bentes; Raul Queiroz Feitosa; Rodrigo da Silva Ferreira; Ricardo C. Farias (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Assessing Texture Descriptors for Seismic Image Retrieval. - Andréa Britto Mattos; Rodrigo S. Ferreira; Reinaldo M. Da Gama e Silva; Mateus Riva; Emilio Vital Brazil (SIBGRAPI, 2017)

Exploiting Different Types of Parallelism in Distributed Analysis of Remote Sensing Data. - Gilson A. O. P. Costa; Cristiana Bentes; Rodrigo S. Ferreira; Raul Queiroz Feitosa; Dário Augusto Borges Oliveira (IEEE Geosci. Remote. Sens. Lett., 2017)

A Set of Methods to Support Object-Based Distributed Analysis of Large Volumes of Earth Observation Data. - Rodrigo S. Ferreira; Cristiana Bentes; Gilson A. O. P. da Costa; Dário A. B. Oliveira; Patrick Nigri Happ; Raul Queiroz Feitosa; Paolo Gamba (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

A New Cloud Computing Architecture for the Classification of Remote Sensing Data. - Victor Andres Ayma Quirita; Gilson Alexandre Ostwald Pedro da Costa; Patrick Nigri Happ; Raul Queiroz Feitosa; Rodrigo da Silva Ferreira; Dário Augusto Borges Oliveira; Antonio Plaza (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Interpolating Seismic Data With Conditional Generative Adversarial Networks. - Dário Augusto Borges Oliveira; Rodrigo S. Ferreira; Reinaldo M. Da Gama e Silva; Emilio Vital Brazil (IEEE Geosci. Remote. Sens. Lett., 2018)

Geological Data Access on a Polyglot Database using a Service Architecture. - Leonardo Guerreiro Azevedo; Rodrigo da Silva Ferreira; Viviane Torres da Silva; Maximilien de Bayser; Elton F. de Souza Soares; Raphael Melo Thiago (SBCARS, 2019)

Data science in financial markets: characterization and analysis of stocktwits. - Rodrigo S. Ferreira; Adriano C. M. Pereira; Ozório J. S. Camargos; Michele A. Brandão (WebMedia, 2019)

Penobscot Dataset: Fostering Machine Learning Development for Seismic Interpretation. - Laís Baroni; Reinaldo Mozart Da Gama e Silva; Rodrigo S. Ferreira; Daniel Civitarese; Daniela Szwarcman; Emilio Vital Brazil (CoRR, 2019)

Netherlands Dataset: A New Public Dataset for Machine Learning in Seismic Interpretation. - Reinaldo Mozart Da Gama e Silva; Laís Baroni; Rodrigo S. Ferreira; Daniel Civitarese; Daniela Szwarcman; Emilio Vital Brazil (CoRR, 2019)

Improving Seismic Data Resolution With Deep Generative Networks. - Dário A. B. Oliveira; Rodrigo S. Ferreira; Reinaldo M. Da Gama e Silva; Emilio Vital Brazil (IEEE Geosci. Remote. Sens. Lett., 2019)

Generating Sketch-Based Synthetic Seismic Images With Generative Adversarial Networks. - Rodrigo S. Ferreira; Julia Noce; Dário A. B. Oliveira; Emilio Vital Brazil (IEEE Geosci. Remote. Sens. Lett., 2020)

Automatic Velocity Analysis Using a Hybrid Regression Approach With Convolutional Neural Networks. - Rodrigo S. Ferreira; Dário A. B. Oliveira; Daniil Semin; Semen Zaytsev (IEEE Trans. Geosci. Remote. Sens., 2021)