Murillo G. Carneiro

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 23

Top Topics

Semantic Role Labeling

Swarm Optimization

Graph Embedding

Dimensionality Reduction

Top Venues

INNS DLIA@IJCNN

Publications

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)
Janayna M. Fernandes, Guilherme M. Suzuki, Liang Zhao, Murillo G. Carneiro
Data classification via centrality measures of complex networks. IJCNN (2023)
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)
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)
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)
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)
Murillo G. Carneiro, Barbara C. Gama, Otavio S. Ribeiro
Complex Network Measures for Data Classification. IJCNN (2021)
Vinícius H. Resende, Murillo G. Carneiro
Analysis of Complex Network Measures for Multi-label Classification. Int. J. Artif. Intell. Tools 30 (4) (2021)
Lucas Z. Bissaro, Yaochu Jin, Murillo G. Carneiro
Regular echo state networks: simple and accurate reservoir models to real-world applications. SAC (2021)
Vinícius H. Resende, Murillo G. Carneiro
High-Level Classification for Multi-Label Learning. IJCNN (2020)
Murillo G. Carneiro, Ran Cheng, Liang Zhao, Yaochu Jin
Particle swarm optimization for network-based data classification. Neural Networks 110 (2019)
Vinícius H. Resende, Murillo G. Carneiro
Towards a High-Level Multi-label Classification from Complex Networks. ICTAI (2019)
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) (2019)
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)
Lusmar M. Freitas, Murillo G. Carneiro
Community Detection to Invariant Pattern Clustering in Images. BRACIS (2019)
Murillo G. Carneiro, Gabriel A. De Lisboa
What's the Next Move? Learning Player Strategies in Zoom Poker Games. CEC (2018)
Murillo G. Carneiro, Liang Zhao
Analysis of Graph Construction Methods in Supervised Data Classification. BRACIS (2018)
Murillo G. Carneiro, Thiago Henrique Cupertino, Ran Cheng, Yaochu Jin, Liang Zhao
Nature-Inspired Graph Optimization for Dimensionality Reduction. ICTAI (2017)
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) (2017)
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)
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)
Murillo G. Carneiro, Liang Zhao, Ran Cheng, Yaochu Jin
Network structural optimization based on swarm intelligence for highlevel classification. IJCNN (2016)
Thiago Henrique Cupertino, Liang Zhao, Murillo G. Carneiro
Network-based supervised data classification by using an heuristic of ease of access. Neurocomputing 149 (2015)
Murillo G. Carneiro, Thiago Henrique Cupertino, Liang Zhao
K-associated optimal network for graph embedding dimensionality reduction. IJCNN (2014)
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) (2014)