| 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 | 287 | 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 | 75 | 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 | 30 | 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 | 10 | 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, ... | 8 | 2018 |
| 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 | 6 | 2017 |
| 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 |
| 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 |
| 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 |
| Improving the performance of a SVM+ HOG classifier for detection and tracking of wagon components by using geometric constraints CLA Gonçalves, RF Zampolo, FJB Barros, ACS Gomes, EC de Carvalho, ... Anais Estendidos do XXXII Conference on Graphics, Patterns and Images, 230-236, 2019 | | 2019 |
Gustavo PessinInstituto Tecnológico ValeVerified email at itv.org
