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ORCIDMurillo G. Carneiro
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2020 – today
- 2024
[c26]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:
Prediction of Managed Forest Growth Based on Machine Learning and Cellular Automata. CEC 2024: 1-8- [c25]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:
A Surrogate-Assisted Genetic Algorithm Framework to Discover Peptides Against COVID-19 Virus. CEC 2024: 1-8 - [c24]Ricardo B. Lima Filho, Janayna M. Fernandes, Donghong Ji, Liang Zhao, Robinson Sabino-Silva, Murillo G. Carneiro:
High-Level Network-based Detection of Oral Cancer from ATR-FTIR Spectroscopy. IJCNN 2024: 1-8 - 2023
- [c23]Anisio P. Santos
, Anage C. Mundim Filho, Robinson Sabino-Silva, Murillo G. Carneiro:
Convolutional Neural Networks for the Molecular Detection of COVID-19. BRACIS (2) 2023: 51-62 - [c22]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:
Finding the appropriate harvest time of coffee fruits using convolutional neural networks. ICTAI 2023: 410-414 - [c21]Murillo G. Carneiro, Camila D. Ramos, João-Batista Destro-Filho, Yu-tao Zhu, Donghong Ji, Liang Zhao:
High-Level Classification for EEG Analysis. IJCNN 2023: 1-8 - [c20]Janayna M. Fernandes, Guilherme M. Suzuki, Liang Zhao, Murillo G. Carneiro:
Data classification via centrality measures of complex networks. IJCNN 2023: 1-8 - [c19]Sérgio Baldo Júnior, Murillo G. Carneiro, João-Batista Destro-Filho, Liang Zhao, Renato Tinós:
Classification of coma etiology using convolutional neural networks and long-short term memory networks. IJCNN 2023: 1-8 - [c18]Lucas Z. Bissaro, Odelmo O. Nascimento Junior, João-Batista Destro-Filho, Yaochu Jin, Murillo G. Carneiro:
Towards the Prognosis of Patients in Coma using Echo State Networks for EEG Analysis. INNS DLIA@IJCNN 2023: 509-518 - 2022
- [j10]Murillo Guimarães Carneiro, Bruna Luiza Dutra, José Gustavo de Souza Paiva, Paulo Henrique Ribeiro Gabriel, Rafael Dias Araújo:
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. 30: 379-395 (2022) - 2021
- [j9]Vinícius H. Resende, Murillo G. Carneiro:
Analysis of Complex Network Measures for Multi-label Classification. Int. J. Artif. Intell. Tools 30(4): 2150023:1-2150023:17 (2021) - [c17]Murillo G. Carneiro, Barbara C. Gama, Otavio S. Ribeiro:
Complex Network Measures for Data Classification. IJCNN 2021: 1-8 - [c16]Lucas Z. Bissaro, Yaochu Jin, Murillo G. Carneiro:
Regular echo state networks: simple and accurate reservoir models to real-world applications. SAC 2021: 1063-1069 - 2020
- [c15]Vinícius H. Resende, Murillo G. Carneiro:
High-Level Classification for Multi-Label Learning. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [j8]Murillo G. Carneiro, Ran Cheng, Liang Zhao, Yaochu Jin:
Particle swarm optimization for network-based data classification. Neural Networks 110: 243-255 (2019) - [j7]Tiago I. de Carvalho, Murillo G. Carneiro, Gina M. B. Oliveira:
Improving cellular automata scheduling through dynamics control. Int. J. Parallel Emergent Distributed Syst. 34(1): 115-141 (2019) - [c14]Lusmar M. Freitas, Murillo G. Carneiro:
Community Detection to Invariant Pattern Clustering in Images. BRACIS 2019: 610-615 - [c13]Vinícius H. Resende, Murillo G. Carneiro:
Towards a High-Level Multi-label Classification from Complex Networks. ICTAI 2019: 1140-1147 - [c12]Cecília R. O. Assis, Rodrigo Sanches Miani, Murillo G. Carneiro, Kil Jin Brandini Park:
A Comparative Analysis of Classifiers in the Recognition of Packed Executables. ICTAI 2019: 1356-1360 - 2018
- [j6]Thiago Henrique Cupertino, Murillo Guimarães Carneiro, Qiusheng Zheng, Junbao Zhang, Liang Zhao:
A scheme for high level data classification using random walk and network measures. Expert Syst. Appl. 92: 289-303 (2018) - [j5]Murillo Guimarães Carneiro, Liang Zhao:
Organizational Data Classification Based on the Importance Concept of Complex Networks. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3361-3373 (2018) - [c11]Murillo G. Carneiro, Liang Zhao:
Analysis of Graph Construction Methods in Supervised Data Classification. BRACIS 2018: 390-395 - [c10]Murillo G. Carneiro, Gabriel A. De Lisboa:
What's the Next Move? Learning Player Strategies in Zoom Poker Games. CEC 2018: 1-8 - 2017
- [j4]Murillo G. Carneiro, Thiago Henrique Cupertino, Liang Zhao, João Luís Garcia Rosa:
Semi-supervised Semantic Role Labeling for Brazilian Portuguese. J. Inf. Data Manag. 8(2): 117-130 (2017) - [c9]Murillo G. Carneiro, João Luís Garcia Rosa, Qiusheng Zheng, Xiaoming Liu, Liang Zhao:
Improving semantic role labeling using high-level classification in complex networks. ICNC-FSKD 2017: 2206-2212 - [c8]Murillo G. Carneiro, Thiago Henrique Cupertino, Ran Cheng, Yaochu Jin, Liang Zhao:
Nature-Inspired Graph Optimization for Dimensionality Reduction. ICTAI 2017: 1113-1119 - [c7]Gabriel L. A. Carrijo, Danilo E. Oliveira, Gleice A. de Assis, Murillo G. Carneiro, Vitor Campanholo Guizilini, Jefferson R. Souza:
Automatic detection of fruits in coffee crops from aerial images. LARS/SBR 2017: 1-6 - 2016
- [b1]Murillo Guimarães Carneiro:
Data classification in complex networks via pattern conformation, data importance and structural optimization. University of São Paulo, Brazil, 2016 - [c6]Tiago Ismailer de Carvalho, Murillo Guimarães Carneiro, Gina Maira Barbosa de Oliveira:
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. ACRI 2016: 258-268 - [c5]Tiago I. de Carvalho, Murillo Guimarães Carneiro, Gina Maira Barbosa de Oliveira:
A Hybrid Strategy to Evolve Cellular Automata Rules with a Desired Dynamical Behavior Applied to the Task Scheduling Problem. BRACIS 2016: 492-497 - [c4]Murillo G. Carneiro, Liang Zhao, Ran Cheng, Yaochu Jin:
Network structural optimization based on swarm intelligence for highlevel classification. IJCNN 2016: 3737-3744 - 2015
- [j3]Thiago Henrique Cupertino, Liang Zhao, Murillo G. Carneiro:
Network-based supervised data classification by using an heuristic of ease of access. Neurocomputing 149: 86-92 (2015) - 2014
- [j2]Murillo G. Carneiro, João Luís Garcia Rosa, Alneu de Andrade Lopes, Liang Zhao:
Network-based data classification: combining K-associated optimal graphs and high-level prediction. J. Braz. Comput. Soc. 20(1): 14:1-14:14 (2014) - [c3]Murillo G. Carneiro, Thiago Henrique Cupertino, Liang Zhao:
K-associated optimal network for graph embedding dimensionality reduction. IJCNN 2014: 1660-1666 - 2013
- [j1]Murillo Guimarães Carneiro, Gina M. B. Oliveira:
Synchronous cellular automata-based scheduler initialized by heuristic and modeled by a pseudo-linear neighborhood. Nat. Comput. 12(3): 339-351 (2013) - 2012
- [c2]Murillo Guimarães Carneiro, Gina Maira Barbosa de Oliveira:
Synchronous cellular automata scheduler with construction heuristic to static task scheduling in multiprocessors. GECCO (Companion) 2012: 1433-1434 - [c1]Murillo Guimarães Carneiro, Gina M. B. Oliveira:
SCAS-IS: Knowledge Extraction and Reuse in Multiprocessor Task Scheduling Based on Cellular Automata. SBRN 2012: 142-147
Coauthor Index
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