Murillo G. Carneiro

According to our database, Murillo G. Carneiro authored at least 37 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

High-Level Network-based Detection of Oral Cancer from ATR-FTIR Spectroscopy.

Ricardo B. Lima Filho, Janayna M. Fernandes, Donghong Ji, Liang Zhao, Robinson Sabino-Silva, Murillo G. Carneiro

Proceedings of the International Joint Conference on Neural Networks, 2024

A Surrogate-Assisted Genetic Algorithm Framework to Discover Peptides Against COVID-19 Virus.

Elias A. D. Silva, Lucas S. Palmeira, Marcelo A. Garcia-Júnior, Luiz G. A. Martins, Yaochu Jin, Bruno S. Andrade, Robinson Sabino-Silva, Murillo G. Carneiro

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Prediction of Managed Forest Growth Based on Machine Learning and Cellular Automata.

Pablo H. De Freitas, Murillo G. Carneiro, Thiago P. Protasio, Delman A. Gonçalves, Rodrigo O. V. Miranda, Alvaro A. V. Soares, Luiz G. A. Martins

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023

Towards the Prognosis of Patients in Coma using Echo State Networks for EEG Analysis.

Lucas Z. Bissaro, Odelmo O. Nascimento Junior, João-Batista Destro-Filho, Yaochu Jin, Murillo G. Carneiro

Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023

Classification of coma etiology using convolutional neural networks and long-short term memory networks.

Sérgio Baldo Júnior, Murillo G. Carneiro, João-Batista Destro-Filho, Liang Zhao, Renato Tinós

Proceedings of the International Joint Conference on Neural Networks, 2023

Data classification via centrality measures of complex networks.

Janayna M. Fernandes, Guilherme M. Suzuki, Liang Zhao, Murillo G. Carneiro

Proceedings of the International Joint Conference on Neural Networks, 2023

High-Level Classification for EEG Analysis.

Murillo G. Carneiro, Camila D. Ramos, João-Batista Destro-Filho, Yu-tao Zhu, Donghong Ji, Liang Zhao

Proceedings of the International Joint Conference on Neural Networks, 2023

Finding the appropriate harvest time of coffee fruits using convolutional neural networks.

Anage C. Mundim Filho, Darlisson M. Santos, Cleyton B. Alvarenga, Gleice A. de Assis, Paula C. N. Rinaldi, Renan Zampiroli, Enrique Anastácio Alves, Murillo G. Carneiro

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

Convolutional Neural Networks for the Molecular Detection of COVID-19.

Anisio P. Santos, Anage C. Mundim Filho, Robinson Sabino-Silva, Murillo G. Carneiro

Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

2022

Educational data mining to support identification and prevention of academic retention and dropout: a case study in introductory programming.

Murillo Guimarães Carneiro, Bruna Luiza Dutra, José Gustavo de Souza Paiva, Paulo Henrique Ribeiro Gabriel, Rafael Dias Araújo

Revista Brasileira de Informática na Educ., 2022

2021

Analysis of Complex Network Measures for Multi-label Classification.

Vinícius H. Resende, Murillo G. Carneiro

Int. J. Artif. Intell. Tools, 2021

Regular echo state networks: simple and accurate reservoir models to real-world applications.

Lucas Z. Bissaro, Yaochu Jin, Murillo G. Carneiro

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Complex Network Measures for Data Classification.

Murillo G. Carneiro, Barbara C. Gama, Otavio S. Ribeiro

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

High-Level Classification for Multi-Label Learning.

Vinícius H. Resende, Murillo G. Carneiro

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Improving cellular automata scheduling through dynamics control.

Tiago I. de Carvalho, Murillo G. Carneiro, Gina M. B. Oliveira

Int. J. Parallel Emergent Distributed Syst., 2019

Particle swarm optimization for network-based data classification.

Murillo G. Carneiro, Ran Cheng, Liang Zhao, Yaochu Jin

Neural Networks, 2019

Towards a High-Level Multi-label Classification from Complex Networks.

Vinícius H. Resende, Murillo G. Carneiro

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

A Comparative Analysis of Classifiers in the Recognition of Packed Executables.

Cecília R. O. Assis, Rodrigo Sanches Miani, Murillo G. Carneiro, Kil Jin Brandini Park

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Community Detection to Invariant Pattern Clustering in Images.

Lusmar M. Freitas, Murillo G. Carneiro

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018

Organizational Data Classification Based on the Importance Concept of Complex Networks.

Murillo Guimarães Carneiro, Liang Zhao

IEEE Trans. Neural Networks Learn. Syst., 2018

A scheme for high level data classification using random walk and network measures.

Thiago Henrique Cupertino, Murillo Guimarães Carneiro, Qiusheng Zheng, Junbao Zhang, Liang Zhao

Expert Syst. Appl., 2018

What's the Next Move? Learning Player Strategies in Zoom Poker Games.

Murillo G. Carneiro, Gabriel A. De Lisboa

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Analysis of Graph Construction Methods in Supervised Data Classification.

Murillo G. Carneiro, Liang Zhao

Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017

Semi-supervised Semantic Role Labeling for Brazilian Portuguese.

Murillo G. Carneiro, Thiago Henrique Cupertino, Liang Zhao, João Luís Garcia Rosa

J. Inf. Data Manag., 2017

Automatic detection of fruits in coffee crops from aerial images.

Gabriel L. A. Carrijo, Danilo E. Oliveira, Gleice A. de Assis, Murillo G. Carneiro, Vitor Campanholo Guizilini, Jefferson R. Souza

Proceedings of the 2017 Latin American Robotics Symposium (LARS) and 2017 Brazilian Symposium on Robotics (SBR), 2017

Nature-Inspired Graph Optimization for Dimensionality Reduction.

Murillo G. Carneiro, Thiago Henrique Cupertino, Ran Cheng, Yaochu Jin, Liang Zhao

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Improving semantic role labeling using high-level classification in complex networks.

Murillo G. Carneiro, João Luís Garcia Rosa, Qiusheng Zheng, Xiaoming Liu, Liang Zhao

Proceedings of the 13th International Conference on Natural Computation, 2017

2016

Data classification in complex networks via pattern conformation, data importance and structural optimization.

Murillo Guimarães Carneiro

PhD thesis, 2016

Network structural optimization based on swarm intelligence for highlevel classification.

Murillo G. Carneiro, Liang Zhao, Ran Cheng, Yaochu Jin

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A Hybrid Strategy to Evolve Cellular Automata Rules with a Desired Dynamical Behavior Applied to the Task Scheduling Problem.

Tiago I. de Carvalho, Murillo Guimarães Carneiro, Gina Maira Barbosa de Oliveira

Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

A Comparison of a Proposed Dynamical Direct Verification of Lattice's Configuration and a Forecast Behavior Parameter on a Cellular Automata Model to Task Scheduling.

Tiago Ismailer de Carvalho, Murillo Guimarães Carneiro, Gina Maira Barbosa de Oliveira

Proceedings of the Cellular Automata, 2016

2015

Network-based supervised data classification by using an heuristic of ease of access.

Thiago Henrique Cupertino, Liang Zhao, Murillo G. Carneiro

Neurocomputing, 2015

2014

Network-based data classification: combining K-associated optimal graphs and high-level prediction.

Murillo G. Carneiro, João Luís Garcia Rosa, Alneu de Andrade Lopes, Liang Zhao

J. Braz. Comput. Soc., 2014

K-associated optimal network for graph embedding dimensionality reduction.

Murillo G. Carneiro, Thiago Henrique Cupertino, Liang Zhao

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

Synchronous cellular automata-based scheduler initialized by heuristic and modeled by a pseudo-linear neighborhood.

Murillo Guimarães Carneiro, Gina M. B. Oliveira

Nat. Comput., 2013

2012

SCAS-IS: Knowledge Extraction and Reuse in Multiprocessor Task Scheduling Based on Cellular Automata.

Murillo Guimarães Carneiro, Gina M. B. Oliveira

Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

Synchronous cellular automata scheduler with construction heuristic to static task scheduling in multiprocessors.

Murillo Guimarães Carneiro, Gina Maira Barbosa de Oliveira

Proceedings of the Genetic and Evolutionary Computation Conference, 2012