| Anomaly detection in trajectory data with normalizing flows MLD Dias, CLC Mattos, TLC da Silva, JAF de Macedo, WCP Silva 2020 international joint conference on neural networks (IJCNN), 1-8, 2020 | 44 | 2020 |
| fuzzy-c-means: An implementation of fuzzy c-means clustering algorithm MLD Dias Zenodo: Geneva, Switzerland, 2019 | 27 | 2019 |
| Training soft margin support vector machines by simulated annealing: A dual approach MLD Dias, ARR Neto Expert Systems with Applications 87, 157-169, 2017 | 27 | 2017 |
| Edge AI for Internet of Medical Things: A literature review A Rocha, M Monteiro, C Mattos, M Dias, J Soares, R Magalhães, ... Computers and Electrical Engineering 116, 109202, 2024 | 17 | 2024 |
| Evolutionary support vector machines: A dual approach MLD Dias, ARR Neto 2016 IEEE congress on evolutionary computation (CEC), 2185-2192, 2016 | 11 | 2016 |
| A Fuzzy C-means-based Approach for Selecting Reference Points in Minimal Learning Machines JAV Florêncio, MLD Dias, AR da Rocha Neto, AH de Souza Júnior North American Fuzzy Information Processing Society Annual Conference, 398-407, 2018 | 8 | 2018 |
| Optimally selected minimal learning machine ÁN Maia, MLD Dias, JPP Gomes, AR da Rocha Neto Intelligent Data Engineering and Automated Learning–IDEAL 2018: 19th …, 2018 | 5 | 2018 |
| Opposite neighborhood: a new method to select reference points of minimal learning machines MLD Dias, LS de Sousa, AR da Rocha Neto, AH de Souza Júnior European Symposium on Artificial Neural Networks (ESANN), 2018 | 5 | 2018 |
| Parsimonious Minimal Learning Machine via Multiresponse Sparse Regression MLD Dias, AN Maia, AR da Rocha Neto, JPP Gomes International Journal of Neural Systems, 2020 | 4 | 2020 |
| Fixed-size extreme learning machines through simulated annealing MLD Dias, LS de Sousa, AR Rocha Neto, AL Freire Neural Processing Letters 48 (1), 135-151, 2018 | 4 | 2018 |
| Um novo método baseado em protótipos para seleção de pontos de referência em máquinas de aprendizado mınimo JAV Florêncio, MLD Dias, AR da Rocha Neto XIII Congresso Brasileiro de Inteligência Computacional (CBIC 2017), 2017 | 2 | 2017 |
| Classification of Failures in Goat Leather Samples Using Computer Vision and Machine Learning RF Pereira, MLD Dias, CM de Sá Medeiros, PP Rebouças Filho Workshop of Industry Applications (WIA) / SIBGRAPI - Conference on Graphics …, 2017 | 2 | 2017 |
| A novel simulated annealing-based learning algorithm for training support vector machines MLD Dias, ARR Neto Intelligent Systems Design and Applications: 16th International Conference …, 2017 | 2 | 2017 |
| Máquinas de Vetores-Suporte de Mínimos Quadrados Esparsas via Recozimento Simulado LS Sousa, AR Dias, Madson Luiz Dantas, Rocha Neto Simpósio Brasileiro de Automação Inteligente, 2015 | 2 | 2015 |
| Sparse minimal learning machine using a diversity measure minimization MLD Dias, LS Sousa, AR da Rocha Neto, CLC Mattos, JPP Gomes, ... complexity 9 (10), 11, 2019 | 1 | 2019 |
| Sparse Minimal Learning Machines Via L_1/2 Norm Regularization MLD Dias, AL Freire, AH Souza, AR da Rocha Neto, JPP Gomes 2018 7th Brazilian Conference on Intelligent Systems (BRACIS), 206-211, 2018 | 1 | 2018 |
| Evolutionary Support Vector Regression via Genetic Algorithms: A Dual Approach SSA Alves, MLD Dias, AR da Rocha Neto, AL Freire Advances in Computational Intelligence: 14th International Work-Conference …, 2017 | 1 | 2017 |
| Uma Abordagem de Seleção de Pontos de Referência para Máquinas de Aprendizado Mínimo via Algorítmos Genéticos MLD Dias, ASC Alencar, ARR Neto, JPP Gomes Simpósio Brasileiro de Automação Inteligente, 2017 | | 2017 |
| Criação de um Sistema Domótico com a Utilização da Plataforma Arduino MLD Dias, PFS Teixeira, BHM Arlindo, YD Galvão Congresso Norte Nordeste de Pesquisa e Inovação, 2013 | | 2013 |
Ajalmar Rêgo Rocha NetoFederal Institute of CearáGeverifieerd e-mailadres voor ifce.edu.br