| Feature selection methods applied to motor imagery task classification AC Ramos, RG Hernández, M Vellasco 2016 IEEE Latin American conference on computational intelligence (LA-CCI), 1-6, 2016 | 32 | 2016 |
| A portable fuzzy driver drowsiness estimation system A Celecia, K Figueiredo, M Vellasco, R González Sensors 20 (15), 4093, 2020 | 25 | 2020 |
| Ensemble of classifiers applied to motor imagery task classification for BCI applications AC Ramos, RG Hernández, M Vellasco, P Vellasco 2017 International Joint Conference on Neural Networks (IJCNN), 2995-3002, 2017 | 21 | 2017 |
| Chaotic quantum-inspired evolutionary algorithm: enhancing feature selection in BCI AC Ramos, M Vellasco 2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020 | 12 | 2020 |
| Quantum-inspired evolutionary algorithm for feature selection in motor imagery EEG classification AC Ramos, M Vellasco 2018 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2018 | 11 | 2018 |
| Unsupervised machine learning applied to seismic interpretation: Towards an unsupervised automated interpretation tool A Celecia, K Figueiredo, C Rodriguez, M Vellasco, E Maldonado, ... Sensors 21 (19), 6347, 2021 | 5 | 2021 |
| Multiple Classifier System for Motor Imagery Task Classification AC Ramos PUC-Rio, 2017 | 3 | 2017 |
| Sistema de navegação autônoma para o robô agrícola soybot FF Martins, TM Carvalho, A Celecia, AIS Oliveira, GBP Barbosa, ... Simpósio Brasileiro de Automação Inteligente-SBAI 1 (1), 2021 | 2 | 2021 |
| Algoritmo Evolucionário com Inspiração Quântica e Sequências Caóticas para Seleção de Atributos em Interfaces Cérebro-Computador A Celecia, M Vellasco Anais do XVIII Encontro Nacional de Inteligência Artificial e Computacional …, 2021 | | 2021 |
Marley VellascoPontifícia Universidade Católica do Rio de JaneiroDirección de correo verificada de ele.puc-rio.br
