Vectorization and multitasking of dynamic programming in control: experiments on a CRAY-2. - Jorge Dantas de Melo; Jean-Louis Calvet; J. M. Garcia (Parallel Comput., 1990)

Neural networks applied to classification of data based on Mahalanobis metrics. - Allan de Medeiros Martins; Aadriao Duarte Doria Neto; Jorge Dantas de Melo (IJCNN, 2003)

Surface reconstruction using neural networks and adaptive geometry meshes. - Agostinho de Medeiros Brito Júnior; Adrião Duarte Dória Neto; Jorge Dantas de Melo (IJCNN, 2004)

Clustering using neural networks and Kullback-Leibler divergency. - Allan de M. Martins; Adrião D. D. Neto; Jorge Dantas de Melo; José Alfredo F. Costa (IJCNN, 2004)

Hierarchical Reinforcement Learning for Metrical Task Systems. - Manoel Leandro de Lima Junior; Jorge Dantas de Melo; Adrião Duarte Dória Neto (HIS, 2005)

Embedded fastICA algorithm applied to the sensor noise extraction problem of foundation fieldbus network. - Isabel M. Costa; Adrião Duarte Dória Neto; Jorge Dantas de Melo; José Alberto Nicolau de Oliveira (IJCNN, 2005)

The k-server problem: a reinforcement learning approach. - Manoel Leandro de Lima Junior; Adrião D. D. Neto; Jorge Dantas de Melo (IJCNN, 2005)

Using Q-learning Algorithm for Initialization of the GRASP Metaheuristic and Genetic Algorithm. - Francisco Chagas de Lima; Jorge Dantas de Melo; Adrião Duarte Dória Neto (IJCNN, 2007)

Proposal for Improvement of GRASP Metaheuristic and Genetic Algorithm Using the Q-Learning Algorithm. - Francisco Chagas de Lima; Jorge Dantas de Melo; Adrião Duarte Dória Neto (ISDA, 2007)

A neural network multiagent architecture applied to fieldbus intelligent control. - Vinícius Ponte Machado; Adrião Duarte Dória Neto; Jorge Dantas de Melo; Leonardo Guanabara; Juliana Medeiros (ETFA, 2008)

Using the Q-learning algorithm in the constructive phase of the GRASP and reactive GRASP metaheuristics. - Francisco Chagas de Lima; Jorge Dantas de Melo; Adrião Duarte Dória Neto (IJCNN, 2008)

An Adaptive Learning Approach for 3-D Surface Reconstruction From Point Clouds. - A. de Medeiros Brito; Adrião Duarte Dória Neto; Jorge Dantas de Melo; Luiz Marcos Garcia Gonçalves (IEEE Trans. Neural Networks, 2008)

Implementation and Evaluation of Modular Neural Networks in a Multiple Processor System on Chip to Classify Electric Disturbance. - Danniel C. Lopes; Rafael Marrocos Magalhães; Jorge Dantas de Melo; Adrião Duarte Dória Neto (CSE (1), 2009)

Creating an ensemble of diverse support vector machines using Adaboost. - Naiyan Hari Cândido Lima; Adrião Duarte Dória Neto; Jorge Dantas de Melo (IJCNN, 2009)

A parallel hybrid implementation using genetic algorithm, GRASP and reinforcement learning. - João Paulo Queiroz dos Santos; Francisco Chagas de Lima; Rafael Marrocos Magalhães; Jorge Dantas de Melo; Adrião Duarte Dória Neto (IJCNN, 2009)

Clustering Using Elements of Information Theory. - Daniel de Araújo 001; Adrião Duarte Dória Neto; Jorge Dantas de Melo; Allan de Medeiros Martins (ICANN (3), 2010)

An genetic approach to Support Vector Machines in classification problems. - Carlos Alberto de Araújo Padilha; Naiyan Hari Cândido Lima; Adrião Duarte Dória Neto; Jorge Dantas de Melo (IJCNN, 2010)

Reinforcement Learning for Controlling a Coupled Tank System Based on the Scheduling of Different Controllers. - Anthony A. R. Diniz; Paulo R. M. Pires; Jorge Dantas de Melo; Adrião Duarte Dória Neto; Armando J. J. L. Filho; Sérgio M. Kanazava (SBRN, 2010)

A Neural Network Multiagent Architecture Applied to Industrial Networks for Dynamic Allocation of Control Strategies Using Standard Function Blocks. - Vinícius Machado 001; Adrião Duarte Dória Neto; Jorge Dantas de Melo (IEEE Trans. Ind. Electron., 2010)

Comparative study on dimension reduction techniques for cluster analysis of microarray data. - Daniel de Araújo 001; Adrião Duarte Dória Neto; Allan de Medeiros Martins; Jorge Dantas de Melo (IJCNN, 2011)

Modeling a system for monitoring an object using artificial neural networks and reinforcement learning. - Helton Maia Peixoto; Anthony A. R. Diniz; Nathalee Cavalcante de Almeida; Jorge Dantas de Melo; Ana Maria G. Guerreiro; Adrião Duarte Dória Neto (IJCNN, 2011)

Ontology for industrial petrochemical processes: Case study of a DEA process. - Anthony A. R. Diniz; R. D. da Silva; Adrião Duarte Dória Neto; Jorge Dantas de Melo (ETFA, 2012)

Random Subspace Method and Genetic Algorithm Applied to a LS-SVM Ensemble. - Carlos Alberto de Araújo Padilha; Adrião Duarte Dória Neto; Jorge Dantas de Melo (ICANN (2), 2012)

Overhead-Controlled Routing in WSNs with Reinforcement Learning. - Leonardo R. S. Campos; Rodrigo D. Oliveira; Jorge Dantas de Melo; Adrião Duarte Dória Neto (IDEAL, 2012)

RSGALS-SVM: Random Subspace Method Applied to a LS-SVM Ensemble Optimized by Genetic Algorithm. - Carlos Alberto de Araújo Padilha; Adrião Duarte Dória Neto; Jorge Dantas de Melo (IDEAL, 2012)

ARTMAP with Modified Internal Category Geometry to Reduce the Category Proliferation. - Robinson Alves; Carlos Alberto de Araújo Padilha; Jorge Dantas de Melo; Adrião Duarte Dória Neto (IJCCI, 2012)

FPGA based implementation of a Fuzzy Neural Network modular architecture for embedded systems. - R. N. A. Prado; Jorge Dantas de Melo; José Alberto Nicolau de Oliveira; Adrião Duarte Dória Neto (IJCNN, 2012)

Semantic alarm correlation based on ontologies. - Raphaela G. F. Lima; Gustavo Bezerra Paz Leitao; Luiz Affonso Guedes; Jorge Dantas de Melo; Adrião Duarte Dória Neto (ETFA, 2013)

Reactive Search strategies using Reinforcement Learning, local search algorithms and Variable Neighborhood Search. - João Paulo Queiroz dos Santos; Jorge Dantas de Melo; Adrião Duarte Dória Neto; Daniel Aloise (Expert Syst. Appl., 2014)

Q-Learning with Dynamic Rewards Table Applied to the SONET/SDH Ring Problem. - Thiago Henrique Freire de Oliveira; Adrião Duarte Dória Neto; Jorge Dantas de Melo (IJCNN, 2018)

Deep reinforcement learning applied to the k-server problem. - Ramon Augusto Sousa Lins; Adrião Duarte Dória Neto; Jorge Dantas de Melo (Expert Syst. Appl., 2019)

Q-Managed: A new algorithm for a multiobjective reinforcement learning. - Thiago Henrique Freire de Oliveira; Luiz Paulo de Souza Medeiros; Adrião Duarte Dória Neto; Jorge Dantas de Melo (Expert Syst. Appl., 2021)

Q-Managed: A new algorithm for a multiobjective reinforcement learning. - Thiago Henrique Freire de Oliveira; Luiz Paulo de Souza Medeiros; Adrião Duarte Dória Neto; Jorge Dantas de Melo (Softw. Impacts, 2021)