Eduardo Carvalho

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 9

Top Topics

Mapreduce Framework

Machine Learning Methods

Indoor Localization

Convolutional Neural Networks

Top Venues

Publications

José de S. Ribeiro, Lucas Felipe Ferraro Cardoso, Vitor Cirilo Araujo Santos, Eduardo Carvalho, Nikolas Jorge S. Carneiro, Ronnie Alves
How Reliable and Stable are Explanations of XAI Methods? CoRR (2024)
Heloisa Candello, Fabrício Barth, Eduardo Carvalho, Ruy Alves Guimarães Cotia
Understanding How Visitors Interact with Voice-Based Conversational Systems. HCI (21) (2020)
Rafael Lima Rocha, Cleison Silva, Ana Cláudia S. Gomes, Bruno V. Ferreira, Eduardo Carvalho, Ana Carolina Siravenha, Carolina Coelho da Rosa
CNN-DFT Based Approach Applied to Image Inspection of Railcar Component: A Comparison with Machine Learning Methods. J. Inf. Data Manag. 11 (1) (2020)
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
An Ensemble of Convolutional Neural Networks for Unbalanced Datasets: A case Study with Wagon Component Inspection. IJCNN (2018)
Eduardo Carvalho, Bruno V. Ferreira, Jair S. Ferreira Jr., Cleidson R. B. de Souza, Hanna V. Carvalho, Yoshihiko Suhara, Alex 'Sandy' Pentland, Gustavo Pessin
Exploiting the use of recurrent neural networks for driver behavior profiling. IJCNN (2017)
Renato H. Torres, Orlando Ohashi, Eduardo Carvalho, Gustavo Pessin
A Deep Learning Approach to Detect Distracted Drivers Using a Mobile Phone. ICANN (2) (2017)
Eduardo Carvalho, Raul Barbosa, Jorge Bernardino
The Ability of Cloud Computing Performance Benchmarks to Measure Dependability. ICSOFT (2017)
Bruno V. Ferreira, Eduardo Carvalho, Mylena R. Ferreira, Patrícia A. Vargas, Jó Ueyama, Gustavo Pessin
Exploiting the Use of Convolutional Neural Networks for Localization in Indoor Environments. Appl. Artif. Intell. 31 (3) (2017)
Eduardo Carvalho, Bruno S. Faiçal, Geraldo P. R. Filho, Patrícia A. Vargas, Jo Ueyama, Gustavo Pessin
Exploiting the use of machine learning in two different sensor network architectures for indoor localization. ICIT (2016)