Eduardo Carvalho

According to our database, Eduardo Carvalho authored at least 10 papers between 2016 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

CNN-DFT Based Approach Applied to Image Inspection of Railcar Component: A Comparison with Machine Learning Methods.

Rafael Lima Rocha, Cleison Silva, Ana Cláudia S. Gomes, Bruno V. Ferreira, Eduardo Carvalho, Ana Carolina Siravenha, Carolina Coelho da Rosa

J. Inf. Data Manag., 2020

Understanding How Visitors Interact with Voice-Based Conversational Systems.

Heloisa Candello, Fabrício Barth, Eduardo Carvalho, Ruy Alves Guimarães Cotia

Proceedings of the Design, User Experience, and Usability. Design for Contemporary Interactive Environments, 2020

2019

Towards a Smart Fault Tolerant Indoor Localization System Through Recurrent Neural Networks.

Eduardo C. de Carvalho, Bruno V. Ferreira, Geraldo P. R. Filho, Pedro Henrique Gomes, Gustavo Medeiros Freitas, Patrícia A. Vargas, Jó Ueyama, Gustavo Pessin

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

An Ensemble of Convolutional Neural Networks for Unbalanced Datasets: A case Study with Wagon Component Inspection.

Everlandio Fernandes, Rafael Lima Rocha, Bruno V. Ferreira, Eduardo Carvalho, Ana Carolina Siravenha, Ana Cláudia S. Gomes, Schubert R. Carvalho, Cleidson R. B. de Souza

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Exploiting the Use of Convolutional Neural Networks for Localization in Indoor Environments.

Bruno V. Ferreira, Eduardo Carvalho, Mylena R. Ferreira, Patrícia A. Vargas, Jó Ueyama, Gustavo Pessin

Appl. Artif. Intell., 2017

Exploiting the use of recurrent neural networks for driver behavior profiling.

Eduardo Carvalho, Bruno V. Ferreira, Jair S. Ferreira Jr., Cleidson R. B. de Souza, Hanna V. Carvalho, Yoshihiko Suhara, Alex 'Sandy' Pentland, Gustavo Pessin

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

The Ability of Cloud Computing Performance Benchmarks to Measure Dependability.

Eduardo Carvalho, Raul Barbosa, Jorge Bernardino

Proceedings of the 12th International Conference on Software Technologies, 2017

A Deep Learning Approach to Detect Distracted Drivers Using a Mobile Phone.

Renato Hidaka Torres, Orlando Ohashi, Eduardo Carvalho, Gustavo Pessin

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Exploiting Recurrent Neural Networks in the Forecasting of Bees' Level of Activity.

Pedro A. B. Gomes, Eduardo C. de Carvalho, Helder M. Arruda, Paulo A. de Souza, Gustavo Pessin

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

2016

Exploiting the use of machine learning in two different sensor network architectures for indoor localization.

Eduardo Carvalho, Bruno S. Faiçal, Geraldo P. R. Filho, Patrícia A. Vargas, Jo Ueyama, Gustavo Pessin

Proceedings of the IEEE International Conference on Industrial Technology, 2016