Publications*

*The documents posted below aims at ensuring timely dissemination of scholarly and technical work. As many of these works have their copyright (and all rights) retained by other copyright holders besides the authors, they are not publicly available. In the case you are interested in a paper which is not available here, just send me a request and I will be happy to provide you a private copy for your personal use only.

Journal Articles

• Vinícius H. Resende and Murillo G. Carneiro, Analysis of Complex Network Measures for Multi-label Classification. International Journal on Artificial Intelligence Tools, v. 30, p. 2150023, 2021.    

• Murillo G. Carneiro, Ran Cheng, Liang Zhao and Yaochu Jin, Particle swarm optimization for network-based data classification. Neural Networks, v. 110, p. 243-255, 2019.    

• Tiago I. Carvalho, Murillo G. Carneiro, and Gina M. B. Oliveira, Improving cellular automata scheduling through dynamics control. International Journal of Parallel, Emergent and Distributed Systems, p. 115-141, 2019.

• Murillo G. Carneiro and Liang Zhao, Organizational Data Classification Based on the Importance Concept of Complex Networks. IEEE Transactions on Neural Networks and Learning Systems, v. 29(8), p. 3361-3373, 2018.    

• Thiago H. Cupertino, Murillo G. Carneiro, Qiusheng Zheng, Junbao Zhang and Liang Zhao, A Scheme for High Level Data Classification Using Random Walk and Network Measures. Expert Systems with Applications, v. 92, p. 289-303, 2018.    

• Murillo G. Carneiro, Thiago H. Cupertino, Liang Zhao and João L. G. Rosa, Semi-Supervised Semantic Role Labeling for Brazilian Portuguese. Journal of Information and Data Management, v. 8(2), p. 117-130, 2017.

• Thiago H. Cupertino, Liang Zhao and Murillo G. Carneiro, Network-based supervised data classification by using an heuristic of ease of access. Neurocomputing, v. 149, p. 86-92, 2015.    

• Murillo G. Carneiro, João L. G. Rosa, Alneu A. Lopes and Liang Zhao, Network-Based Data Classification: Combining K-Associated Optimal Graphs and High Level Prediction. Journal of The Brazilian Computer Society, v. 20, p. 14, 2014.

• Murillo G. Carneiro and Gina M. B. Oliveira, Synchronous cellular automata-based scheduler initialized by heuristic and modeled by a pseudo-linear neighborhood. Natural Computing, v. 12 (3), p. 339-351, 2013.    

Book Chapter

• Liang Zhao, Thiago C. Silva and Murillo G. Carneiro, Classificação de Dados de Alto Nível em Redes Complexas. Inteligência Artificial: Avanços e Tendências, São Paulo SP: Instituto de Estudos Avançados, 2021, p. 181-205.

• Murillo G. Carneiro, Artificial Intelligence in Games Evolution. Business, Technological, and Social Dimensions of Computer Games: Multidisciplinary Developments, Hershey PA: IGI Global, 2011, p. 98-114.

Conference Proceedings

• Lucas Z. Bissaro, Yaochu Jin and Murillo G. Carneiro, Regular Echo State Networks: Simple and Accurate Reservoir Models to Real-world Applications. ACM Symposium on Applied Computing, p. 1063-1069, 2021.    

• Murillo G. Carneiro, Barbara C. Gama and Otávio S. Ribeiro, Complex Network Measures for Data Classification. International Joint Conference on Neural Networks, p. 1-8, 2021.    

• Anagê C. Mundim Filho, Cleyton B. Alvarenga and Murillo G. Carneiro, Colher ou não colher? Uma rede neural convolucional para apoiar cafeicultores na decisão da colheita. Workshop de Iniciação Científica em Sistemas de Informação, p. 57-60, 2021.

• Vinícius H. Resende and Murillo G. Carneiro, High-Level Classification for Multi-Label Learning. International Joint Conference on Neural Networks, p. 1-8, 2020.    

• Vinícius H. Resende and Murillo G. Carneiro, Towards a High-Level Multi-Label Classification from Complex Networks. International Conference on Tools with Artificial Intelligence, p. 1140-1147, 2019.    

• Lusmar M. Freitas and Murillo G. Carneiro, Community Detection to Invariant Pattern Clustering in Images. Brazilian Congress on Intelligent Systems, p. 610-615, 2019.    

• Janayna M. Fernandes, Lucas Z. Bissaro, Fernanda M. C. Santos and Murillo G. Carneiro, Deep Learning in Risk Assessment. National Meeting on Artificial and Computational Intelligence, p. 1068-1079, 2019.

• Cecília R. O. Assis, Rodrigo S. Miani, Kil J. B. Park and Murillo G. Carneiro, A Comparative Analysis of Classifiers in the Recognition of Packed Executables. International Conference on Tools with Artificial Intelligence, p. 1356-1360, 2019. [Data sets available to download].    

• Bruna L. Dutra, Phelipe R. Santos, Danilo Oliveira, Leandro N. Couto and Murillo G. Carneiro, O uso de competições de programação e robótica como estratégias para complementação e avaliação do aprendizado. Workshop de Ensino em Pensamento Computacional, Algoritmos e Programação, p. 188-197, 2019.

• Murillo G. Carneiro and Gabriel A. Lisboa, What's the Next Move? Learning Player Strategies in Zoom Poker Games. IEEE Congress on Evolutionary Computation, p. 1951-1958, 2018. [Data sets available to download].    

• Murillo G. Carneiro and Liang Zhao, Analysis of Graph Construction Methods in Supervised Data Classification. Brazilian Conference on Intelligent Systems, p. 390-395, 2018.    

• Ieza L. Damasceno and Murillo G. Carneiro, Panorama da Evasão no Curso de Sistemas de Informação da Universidade Federal de Uberlândia: Um Estudo Preliminar. Simpósio Brasileiro de Informática na Educação, p. 1766-1770, 2018.

• Emmanuel F. A. Reis, Phelipe R. Santos, Bruna L. Dutra,Leandro N. Couto, Daniele C. Oliveira and Murillo G. Carneiro, Jovens Programadores: ensino de programação e robótica para alunos do ensino básico de Monte Carmelo-MG. Workshop de Ensino em Pensamento Computacional, Algoritmos e Programação, p. 649-658, 2018.

• Murillo G. Carneiro, Thiago H. Cupertino, Ran Cheng, Yaochu Jin and Liang Zhao, Nature-Inspired Graph Optimization for Dimensionality Reduction. International Conference on Tools with Artificial Intelligence, p. 1113-1119, 2017.    

• Murillo G. Carneiro, João L. G. Rosa, Qiusheng Zheng, Xiaoming Liu and Liang Zhao, Improving Semantic Role Labeling Using High-level Classification in Complex Networks. International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, p. 2185-2191, 2017.    

• Gabriel L. A. Carrijo, Danilo E. Oliveira, Gleice A. Assis, Murillo G. Carneiro, Victor C. Guizilini and Jefferson R. Souza Automatic Detection of Fruits in Coffee Crops from Aerial Images. Latin American Robotics Symposium, p. 1-6, 2017.

• Murillo G. Carneiro, Liang Zhao, Ran Cheng and Yaochu Jin Network Structural Optimization Based on Swarm Intelligence for Highlevel Classification. IEEE International Joint Conference on Neural Networks, p. 3737–3744, 2016.    

• Tiago I. Carvalho, Murillo G. Carneiro and Gina M. B. Oliveira, A comparison of forecast dynamical behavior parameter and direct verification of lattice's configuration using a cellular automata model to task scheduling. International Conference on Cellular Automata for Research and Industry, p. 258-268, 2016.

• Tiago I. Carvalho, Murillo G. Carneiro and Gina M. B. Oliveira, A hybrid strategy to evolve cellular automata rules with a desired dynamical behavior applied to the task scheduling problem. Brazilian Conference on Intelligent Systems, p. 492-497, 2016.

• Murillo G. Carneiro, Liang Zhao and João L. G. Rosa, Graph-Based Semi-Supervised Learning for Semantic Role Diffusion. IEEE Symposium on Knowledge Discovery, Mining and Learning, p. 108-115, 2016.

• Murillo G. Carneiro, Thiago H. Cupertino and Liang Zhao, K-Associated Optimal Network for Graph Embedding Dimensionality Reduction. IEEE International Joint Conference on Neural Networks, p. 1660-1666, 2014.    

• Murillo G. Carneiro and Liang Zhao, High Level Classification Totally Based on Complex Networks. IEEE BRICS Countries Congress on Computational Intelligence, p. 507-514, 2013.    

• Thiago H. Cupertino, Murillo G. Carneiro and Liang Zhao, Dimensionality reduction with the k-associated optimal graph applied to image classification. IEEE International Conference on Imaging Systems and Techniques, p. 366-371, 2013.    

• Murillo G. Carneiro and Gina M. B. Oliveira, SCAS-IS: Knowledge Extraction and Reuse in Multiprocessor Task Scheduling based on Cellular Automata. Brazilian Symposium on Neural Networks, p. 142-147, 2012.    

• Murillo G. Carneiro and Gina M. B. Oliveira, SCAS-H: Synchronous Cellular Automata-Based Scheduler with Initialization Heuristic to Task Scheduling. International Workshop on Cellular Automata & Discrete Complex Systems, p. 52-61, 2012.

• Murillo G. Carneiro, João L. G. Rosa, Alneu A. Lopes and Liang Zhao, Classificação de Alto Nível Utilizando Grafo K-associados Ótimo. International Workshop on Web and Text Intelligence, p. 1-10, 2012.

• Murillo G. Carneiro and Gina M. B. Oliveira, Um modelo baseado em autômatos celulares síncronos para o escalonamento de tarefas em multiprocessadores. Congresso Brasileiro de Inteligência Computacional, p. 1-8, 2011.

• Murillo G. Carneiro and Gina M. B. Oliveira, Cellular automata-based model with synchronous updating for Task Static Scheduling. International Workshop on Cellular Automata & Discrete Complex Systems, p. 263-272, 2011.

• Murillo G. Carneiro and Fábio Sabai, Redes Neurais na Previsão de Tipos e Variações de Candles em Séries Temporais de Candlesticks. Encontro Anual de Computação, p. 1-8, 2010.

• Murillo G. Carneiro and Márcia A. Fernandes, An Algorithm for the Dial-A-Ride Problem Using Optimization Techniques. International Conference on Information Systems and Technology Management, p. 3117-3128, 2010.

• Murillo G. Carneiro, Information technology, agriculture and a system for calculating the DRIS. International Conference on Information Systems and Technology Management, p. 3117-3128, 2009.