Synchronous cellular automata scheduler with construction heuristic to static task scheduling in multiprocessors. - Murillo Guimarães Carneiro; Gina Maira Barbosa de Oliveira (GECCO (Companion), 2012)

SCAS-IS: Knowledge Extraction and Reuse in Multiprocessor Task Scheduling Based on Cellular Automata. - Murillo Guimarães Carneiro; Gina M. B. Oliveira (SBRN, 2012)

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)

K-associated optimal network for graph embedding dimensionality reduction. - Murillo G. Carneiro; Thiago Henrique Cupertino; Liang Zhao 001 (IJCNN, 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 001 (J. Braz. Comput. Soc., 2014)

Network-based supervised data classification by using an heuristic of ease of access. - Thiago Henrique Cupertino; Liang Zhao 001; Murillo G. Carneiro (Neurocomputing, 2015)

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 (ACRI, 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 (BRACIS, 2016)

Network structural optimization based on swarm intelligence for highlevel classification. - Murillo G. Carneiro; Liang Zhao 001; Ran Cheng; Yaochu Jin (IJCNN, 2016)

Data classification in complex networks via pattern conformation, data importance and structural optimization. - Murillo Guimarães Carneiro (2016)

Improving semantic role labeling using high-level classification in complex networks. - Murillo G. Carneiro; João Luís Garcia Rosa; Qiusheng Zheng; Xiaoming Liu; Liang Zhao 001 (ICNC-FSKD, 2017)

Nature-Inspired Graph Optimization for Dimensionality Reduction. - Murillo G. Carneiro; Thiago Henrique Cupertino; Ran Cheng; Yaochu Jin; Liang Zhao 001 (ICTAI, 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 (LARS/SBR, 2017)

Semi-supervised Semantic Role Labeling for Brazilian Portuguese. - Murillo G. Carneiro; Thiago Henrique Cupertino; Liang Zhao 001; João Luís Garcia Rosa (J. Inf. Data Manag., 2017)

Analysis of Graph Construction Methods in Supervised Data Classification. - Murillo G. Carneiro; Liang Zhao 001 (BRACIS, 2018)

What's the Next Move? Learning Player Strategies in Zoom Poker Games. - Murillo G. Carneiro; Gabriel A. De Lisboa (CEC, 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 001 (Expert Syst. Appl., 2018)

Organizational Data Classification Based on the Importance Concept of Complex Networks. - Murillo Guimarães Carneiro; Liang Zhao 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Community Detection to Invariant Pattern Clustering in Images. - Lusmar M. Freitas; Murillo G. Carneiro (BRACIS, 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 (ICTAI, 2019)

Towards a High-Level Multi-label Classification from Complex Networks. - Vinícius H. Resende; Murillo G. Carneiro (ICTAI, 2019)

Particle swarm optimization for network-based data classification. - Murillo G. Carneiro; Ran Cheng; Liang Zhao 001; Yaochu Jin (Neural Networks, 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)

High-Level Classification for Multi-Label Learning. - Vinícius H. Resende; Murillo G. Carneiro (IJCNN, 2020)

Complex Network Measures for Data Classification. - Murillo G. Carneiro; Barbara C. Gama; Otavio S. Ribeiro (IJCNN, 2021)

Regular echo state networks: simple and accurate reservoir models to real-world applications. - Lucas Z. Bissaro; Yaochu Jin; Murillo G. Carneiro (SAC, 2021)

Analysis of Complex Network Measures for Multi-label Classification. - Vinícius H. Resende; Murillo G. Carneiro (Int. J. Artif. Intell. Tools, 2021)

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)

Convolutional Neural Networks for the Molecular Detection of COVID-19. - Anisio P. Santos; Anage C. Mundim Filho; Robinson Sabino-Silva; Murillo G. Carneiro (BRACIS (2), 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 (ICTAI, 2023)

High-Level Classification for EEG Analysis. - Murillo G. Carneiro; Camila D. Ramos; João-Batista Destro-Filho; Yu-tao Zhu; Donghong Ji; Liang Zhao 001 (IJCNN, 2023)

Data classification via centrality measures of complex networks. - Janayna M. Fernandes; Guilherme M. Suzuki; Liang Zhao 001; Murillo G. Carneiro (IJCNN, 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 001; Renato Tinós (IJCNN, 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 (INNS DLIA@IJCNN, 2023)

Modeling EEG Data into Graphs for the Prognostic of Patients in Coma Using Graph Neural Networks. - Odelmo O. Nascimento Junior; Dhara L. C. Assis; João Batista Destro Filho; Liang Zhao 001; Murillo G. Carneiro (BRACIS (4), 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 (CEC, 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 (CEC, 2024)

High-Level Network-based Detection of Oral Cancer from ATR-FTIR Spectroscopy. - Ricardo B. Lima Filho; Janayna M. Fernandes; Donghong Ji; Liang Zhao 001; Robinson Sabino-Silva; Murillo G. Carneiro (IJCNN, 2024)

MTP-NT: A Mobile Traffic Predictor Enhanced by Neighboring and Transportation Data. - Patrick Luiz de Araújo; Murillo Guimarães Carneiro; Luis M. Contreras 001; Rafael Pasquini (IEEE Trans. Netw. Serv. Manag., 2025)