Murillo G. Carneiro

Orcid: 0000-0002-2915-8990

According to our database1, Murillo G. Carneiro authored at least 37 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
High-Level Network-based Detection of Oral Cancer from ATR-FTIR Spectroscopy.
Proceedings of the International Joint Conference on Neural Networks, 2024

A Surrogate-Assisted Genetic Algorithm Framework to Discover Peptides Against COVID-19 Virus.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Prediction of Managed Forest Growth Based on Machine Learning and Cellular Automata.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023
Towards the Prognosis of Patients in Coma using Echo State Networks for EEG Analysis.
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.
Proceedings of the International Joint Conference on Neural Networks, 2023

Data classification via centrality measures of complex networks.
Proceedings of the International Joint Conference on Neural Networks, 2023

High-Level Classification for EEG Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2023

Finding the appropriate harvest time of coffee fruits using convolutional neural networks.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

Convolutional Neural Networks for the Molecular Detection of COVID-19.
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.
Revista Brasileira de Informática na Educ., 2022

2021
Analysis of Complex Network Measures for Multi-label Classification.
Int. J. Artif. Intell. Tools, 2021

Regular echo state networks: simple and accurate reservoir models to real-world applications.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Complex Network Measures for Data Classification.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
High-Level Classification for Multi-Label Learning.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Improving cellular automata scheduling through dynamics control.
Int. J. Parallel Emergent Distributed Syst., 2019

Particle swarm optimization for network-based data classification.
Neural Networks, 2019

Towards a High-Level Multi-label Classification from Complex Networks.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

A Comparative Analysis of Classifiers in the Recognition of Packed Executables.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Community Detection to Invariant Pattern Clustering in Images.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018
Organizational Data Classification Based on the Importance Concept of Complex Networks.
IEEE Trans. Neural Networks Learn. Syst., 2018

A scheme for high level data classification using random walk and network measures.
Expert Syst. Appl., 2018

What's the Next Move? Learning Player Strategies in Zoom Poker Games.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Analysis of Graph Construction Methods in Supervised Data Classification.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017
Semi-supervised Semantic Role Labeling for Brazilian Portuguese.
J. Inf. Data Manag., 2017

Automatic detection of fruits in coffee crops from aerial images.
Proceedings of the 2017 Latin American Robotics Symposium (LARS) and 2017 Brazilian Symposium on Robotics (SBR), 2017

Nature-Inspired Graph Optimization for Dimensionality Reduction.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Improving semantic role labeling using high-level classification in complex networks.
Proceedings of the 13th International Conference on Natural Computation, 2017

2016
Data classification in complex networks via pattern conformation, data importance and structural optimization.
PhD thesis, 2016

Network structural optimization based on swarm intelligence for highlevel classification.
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.
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.
Proceedings of the Cellular Automata, 2016

2015
Network-based supervised data classification by using an heuristic of ease of access.
Neurocomputing, 2015

2014
Network-based data classification: combining K-associated optimal graphs and high-level prediction.
J. Braz. Comput. Soc., 2014

K-associated optimal network for graph embedding dimensionality reduction.
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.
Nat. Comput., 2013

2012
SCAS-IS: Knowledge Extraction and Reuse in Multiprocessor Task Scheduling Based on Cellular Automata.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

Synchronous cellular automata scheduler with construction heuristic to static task scheduling in multiprocessors.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012


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