Smith W. A. Canchumuni

According to our database, Smith W. A. Canchumuni authored at least 10 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Seismic Fault Segmentation Using Unsupervised Domain Adaptation.

Maykol J. Campos Trinidad, Smith W. Arauco Canchumuni, Marco Aurélio Cavalcanti Pacheco

Proceedings of the 20th ACS/IEEE International Conference on Computer Systems and Applications, 2023

Assessing fuel tax revenues - Study on impact of reducing fuel taxes using artificial intelligence.

Felipe Borges Coelho, Smith W. Arauco Canchumuni, Marco Aurélio Cavalcanti Pacheco

Proceedings of the 20th ACS/IEEE International Conference on Computer Systems and Applications, 2023

2022

A Free Web Service for Fast COVID-19 Classification of Chest X-Ray Images with Artificial Intelligence.

Jose David Bermudez Castro, Jose E. Ruiz, Pedro Achanccaray Diaz, Smith W. Arauco Canchumuni, Cristian Muñoz Villalobos, Felipe Borges Coelho, Leonardo Forero Mendoza, Marco Aurélio Cavalcanti Pacheco

Proceedings of the Computational Science and Its Applications - ICCSA 2022, 2022

2021

Data Science Mentoring Support using Neural Networks.

Maykol J. Campos Trinidad, Felipe Borges Coelho, Smith W. Arauco Canchumuni, Marco Aurélio Cavalcanti Pacheco

Proceedings of the 2021 21st International Conference on Computational Science and Its Applications (ICCSA), Cagliari, Italy, September 13-16, 2021, 2021

Improvement Optical Character Recognition for Structured Documents using Generative Adversarial Networks.

Jose David Bermudez Castro, Smith W. Arauco Canchumuni, Cristian E. Muñoz Villalobos, Fábio Corrêa Cordeiro, Antônio Marcelo Azevedo Alexandre, Marco Aurélio Cavalcanti Pacheco

Proceedings of the 2021 21st International Conference on Computational Science and Its Applications (ICCSA), Cagliari, Italy, September 13-16, 2021, 2021

2020

A free web service for fast COVID-19 classification of chest X-Ray images.

Jose David Bermudez Castro, Ricardo Rei, Jose E. Ruiz, Pedro Achanccaray Diaz, Smith W. Arauco Canchumuni, Cristian E. Muñoz Villalobos, Felipe Borges Coelho, Leonardo Forero Mendoza, Marco Aurélio Cavalcanti Pacheco

CoRR, 2020

Recent Developments Combining Ensemble Smoother and Deep Generative Networks for Facies History Matching.

Smith W. A. Canchumuni, Jose David Bermudez Castro, Júlia Potratz, Alexandre Anozé Emerick, Marco Aurélio Cavalcanti Pacheco

CoRR, 2020

Towards a Benchmark for Sedimentary Facies Classification: Applied to the Netherlands F3 Block.

Maykol J. Campos Trinidad, Smith W. Arauco Canchumuni, Marco Aurélio Cavalcanti Pacheco

Proceedings of the Information Management and Big Data, 2020

2019

Towards a robust parameterization for conditioning facies models using deep variational autoencoders and ensemble smoother.

Smith W. A. Canchumuni, Alexandre Anozé Emerick, Marco Aurélio Cavalcanti Pacheco

Comput. Geosci., 2019

Smart Well Data Generation via Boundary-Seeking Deep Convolutional Generative Adversarial Networks.

Allan Gurwicz, Smith W. Arauco Canchumuni, Marco Aurélio Cavalcanti Pacheco

Proceedings of the Artificial Intelligence and Soft Computing, 2019