| Organizational data classification based on the importance concept of complex networks MG Carneiro, L Zhao IEEE transactions on neural networks and learning systems 29 (8), 3361-3373, 2018 | 48 | 2018 |
| Particle swarm optimization for network-based data classification MG Carneiro, R Cheng, L Zhao, Y Jin Neural Networks 110, 243-255, 2019 | 46 | 2019 |
| A scheme for high level data classification using random walk and network measures TH Cupertino, MG Carneiro, Q Zheng, J Zhang, L Zhao Expert Systems with Applications 92, 289-303, 2018 | 30 | 2018 |
| Salivary ATR-FTIR spectroscopy coupled with support vector machine classification for screening of type 2 diabetes mellitus DC Caixeta, MG Carneiro, R Rodrigues, DCT Alves, LR Goulart, ... Diagnostics 13 (8), 1396, 2023 | 23 | 2023 |
| Network-based data classification: combining K-associated optimal graphs and high-level prediction MG Carneiro, JLG Rosa, AA Lopes, L Zhao Journal of the Brazilian Computer Society 20, 1-14, 2014 | 22 | 2014 |
| Automatic detection of fruits in coffee crops from aerial images GLA Carrijo, DE Oliveira, GA de Assis, MG Carneiro, VC Guizilini, ... 2017 Latin American Robotics Symposium (LARS) and 2017 Brazilian Symposium …, 2017 | 21 | 2017 |
| Network-based supervised data classification by using an heuristic of ease of access TH Cupertino, L Zhao, MG Carneiro Neurocomputing 149, 86-92, 2015 | 20 | 2015 |
| Synchronous cellular automata-based scheduler initialized by heuristic and modeled by a pseudo-linear neighborhood MG Carneiro, GMB Oliveira Natural Computing 12, 339-351, 2013 | 18 | 2013 |
| Network structural optimization based on swarm intelligence for highlevel classification MG Carneiro, L Zhao, R Cheng, Y Jin 2016 International Joint Conference on Neural Networks (IJCNN), 3737-3744, 2016 | 17 | 2016 |
| Redes complexas para classificação de dados via conformidade de padrão, caracterização de importância e otimização estrutural MG Carneiro Universidade de São Paulo, 2016 | 14 | 2016 |
| Salivary detection of Zika virus infection using ATR-FTIR spectroscopy coupled with Machine learning algorithms and univariate analysis: A proof-of-concept animal study SW Oliveira, L Cardoso-Sousa, RP Georjutti, JF Shimizu, S Silva, ... Diagnostics 13 (8), 1443, 2023 | 13 | 2023 |
| Analysis of graph construction methods in supervised data classification MG Carneiro, L Zhao 2018 7th Brazilian Conference on Intelligent Systems (BRACIS), 390-395, 2018 | 12 | 2018 |
| K-associated optimal network for graph embedding dimensionality reduction MG Carneiro, TH Cupertino, L Zhao 2014 International Joint Conference on Neural Networks (IJCNN), 1660-1666, 2014 | 12 | 2014 |
| Cellular automata-based model with synchronous updating for task static scheduling MG Carneiro, GMB Oliveira Proceedings of 17th International workshop on cellular automata and discrete …, 2011 | 12 | 2011 |
| Panorama da evasão no curso de sistemas de informação da universidade federal de uberlândia: Um estudo preliminar I Damasceno, M Carneiro Brazilian Symposium on Computers in Education (Simpósio Brasileiro de …, 2018 | 11 | 2018 |
| Dimensionality reduction with the k-associated optimal graph applied to image classification TH Cupertino, MG Carneiro, L Zhao Imaging Systems and Techniques (IST), 2013 IEEE International Conference on …, 2013 | 11 | 2013 |
| High level classification totally based on complex networks MG Carneiro, L Zhao 2013 BRICS Congress on Computational Intelligence and 11th Brazilian …, 2013 | 11 | 2013 |
| Community detection to invariant pattern clustering in images LM Freitas, MG Carneiro 2019 8th Brazilian Conference on Intelligent Systems (BRACIS), 610-615, 2019 | 10 | 2019 |
| Complex network measures for data classification MG Carneiro, BC Gama, OS Ribeiro 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 8 | 2021 |
| A hybrid strategy to evolve cellular automata rules with a desired dynamical behavior applied to the task scheduling problem TI De Carvalho, MG Carneiro, GMB Oliveira 2016 5th Brazilian Conference on Intelligent Systems (BRACIS), 492-497, 2016 | 8 | 2016 |
Liang ZhaoProfessor of Computer Science, University of Sao PauloE-mail confirmado em usp.br
