Driver behavior profiling: An investigation with different smartphone sensors and machine learning JF Júnior, E Carvalho, BV Ferreira, C de Souza, Y Suhara, A Pentland, ... PLoS one 12 (4), e0174959, 2017 | 276 | 2017 |
Exploiting the use of recurrent neural networks for driver behavior profiling E Carvalho, BV Ferreira, J Ferreira, C De Souza, HV Carvalho, Y Suhara, ... 2017 International Joint Conference on Neural Networks (IJCNN), 3016-3021, 2017 | 73 | 2017 |
A deep learning approach to detect distracted drivers using a mobile phone R Torres, O Ohashi, E Carvalho, G Pessin Artificial Neural Networks and Machine Learning–ICANN 2017: 26th …, 2017 | 28 | 2017 |
Exploiting the use of machine learning in two different sensor network architectures for indoor localization E Carvalho, BS Faiçal, PR Geraldo Filho, PA Vargas, J Ueyama, G Pessin 2016 IEEE International Conference on Industrial Technology (ICIT), 652-657, 2016 | 12 | 2016 |
Towards a smart fault tolerant indoor localization system through recurrent neural networks EC Carvalho, BV Ferreira, PR Geraldo Filho, PH Gomes, GM Freitas, ... 2019 International Joint Conference on Neural Networks (IJCNN), 1-7, 2019 | 9 | 2019 |
An ensemble of convolutional neural networks for unbalanced datasets: A case study with wagon component inspection E Fernandes, RL Rocha, B Ferreira, E Carvalho, AC Siravenha, ... 2018 International Joint Conference on Neural Networks (IJCNN), 1-6, 2018 | 9 | 2018 |
Detecção de Anomalias em Comportamento de Abelhas Utilizando Redes Neurais Recorrentes HVF de Carvalho, EC Carvalho, H Arruda, V Imperatriz-Fonseca, ... | 6 | 2018 |
Exploiting the use of convolutional neural networks for localization in indoor environments BV Ferreira, E Carvalho, MR Ferreira, PA Vargas, J Ueyama, G Pessin Applied Artificial Intelligence 31 (3), 279-287, 2017 | 6 | 2017 |
Exploiting recurrent neural networks in the forecasting of bees’ level of activity PAB Gomes, EC de Carvalho, HM Arruda, P de Souza, G Pessin Artificial Neural Networks and Machine Learning–ICANN 2017: 26th …, 2017 | 6 | 2017 |
Proposta de Melhoria na Interface do Moodle: Teste de Usabilidade com alunos do Curso de Bacharelado em Administração Pública na Modalidade à Distância da UFPA EC CARVALHO, MK Eliasquevici X ESUD, Belém/PA, 2013 | 6 | 2013 |
Wearable computing for railway environments: Proposal and evaluation of a safety solution BV Ferreira, G Serejo, MR Ferreira, DF Ferreira, L Cardoso, E Yoshidome, ... IET Intelligent transport systems 11 (6), 319-325, 2017 | 5 | 2017 |
Image inspection of railcar structural components: An approach through deep learning and discrete Fourier transform RL Rocha, CD Silva, ACS Gomes, BV Ferreira, EC Carvalho, ... Symposium on Knowledge Discovery, Mining and Learning (KDMiLe), 33-40, 2019 | 4 | 2019 |
Investigação em Arquiteturas de Redes sem Fio para Localização em Ambientes Internos Usando Aprendizado de Máquina EC de Carvalho | 1 | 2016 |
Avaliação de Métodos de Aprendizado de Máquina para Localização de Pessoas em Ambientes Internos EC de Carvalho, GPR Filho, BS Faiçal, AH Gutierrez, J Ueyama, G Pessin | 1 | 2015 |
How Reliable and Stable are Explanations of XAI Methods? J Ribeiro, L Cardoso, V Santos, E Carvalho, N Carneiro, R Alves arXiv preprint arXiv:2407.03108, 2024 | | 2024 |
Retrieving biodiversity data from multiple sources: making secondary data standardized and accessible N Marques, C Soares, D Casali, E Guimarães, F Fava, J Abreu, L Moras, ... ARPHA Preprints 5, e125974, 2024 | | 2024 |
Assessing U-Net Model Performance in Weather Radar-Based Precipitation Nowcasting: A Reflectivity Threshold Analysis R Rocha, E Oliveira, E Carvalho, R Tedeschi, C Gosta, D Ferreira, ... Anais do XX Encontro Nacional de Inteligência Artificial e Computacional …, 2023 | | 2023 |
A machine learning and statistical learning-based pipeline to perform multipoint rainfall forecasting E Carvalho, E Oliveira, R Rocha, N Carneiro, R Tedeschi, R Alves Anais do XX Encontro Nacional de Inteligência Artificial e Computacional …, 2023 | | 2023 |
Precipitation Forecasting: From Geophysical Aspects to Machine Learning Applications ECL Oliveira, AV Nogueira Neto, APP Santos, CPWD Costa, JCG Freitas, ... Frontiers in Climate 5, 1250201, 2023 | | 2023 |
CNN-DFT Based Approach Applied to Image Inspection of Railcar Component: A Comparison with Machine Learning Methods RL Rocha, CD Silva, ACS Gomes, BV Ferreira, EC Carvalho, ... Journal of Information and Data Management 11 (1), 2020 | | 2020 |