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ORCIDJorge Dantas de Melo
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2020 – today
- 2021
[j7]Thiago Henrique Freire de Oliveira, Luiz Paulo de Souza Medeiros, Adrião Duarte Dória Neto, Jorge Dantas de Melo:
Q-Managed: A new algorithm for a multiobjective reinforcement learning. Expert Syst. Appl. 168: 114228 (2021)- [j6]Thiago Henrique Freire de Oliveira, Luiz Paulo de Souza Medeiros, Adrião Duarte Dória Neto
, Jorge Dantas de Melo:
Q-Managed: A new algorithm for a multiobjective reinforcement learning. Softw. Impacts 9: 100089 (2021)
2010 – 2019
- 2019
- [j5]Ramon Augusto Sousa Lins, Adrião Duarte Dória Neto, Jorge Dantas de Melo:
Deep reinforcement learning applied to the k-server problem. Expert Syst. Appl. 135: 212-218 (2019) - 2018
- [c21]Thiago Henrique Freire de Oliveira, Adrião Duarte Dória Neto, Jorge Dantas de Melo:
Q-Learning with Dynamic Rewards Table Applied to the SONET/SDH Ring Problem. IJCNN 2018: 1-6 - 2014
- [j4]João Paulo Queiroz dos Santos, Jorge Dantas de Melo, Adrião Duarte Dória Neto, Daniel Aloise:
Reactive Search strategies using Reinforcement Learning, local search algorithms and Variable Neighborhood Search. Expert Syst. Appl. 41(10): 4939-4949 (2014) - 2013
- [c20]Raphaela G. F. Lima, Gustavo Bezerra Paz Leitao, Luiz Affonso Guedes, Jorge Dantas de Melo, Adrião Duarte Dória Neto:
Semantic alarm correlation based on ontologies. ETFA 2013: 1-4 - 2012
- [c19]Anthony A. R. Diniz, R. D. da Silva, Adrião Duarte Dória Neto, Jorge Dantas de Melo:
Ontology for industrial petrochemical processes: Case study of a DEA process. ETFA 2012: 1-6 - [c18]Carlos Alberto de Araújo Padilha, Adrião Duarte Dória Neto, Jorge Dantas de Melo:
Random Subspace Method and Genetic Algorithm Applied to a LS-SVM Ensemble. ICANN (2) 2012: 164-171 - [c17]Carlos Alberto de Araújo Padilha, Adrião Duarte Dória Neto, Jorge Dantas de Melo:
RSGALS-SVM: Random Subspace Method Applied to a LS-SVM Ensemble Optimized by Genetic Algorithm. IDEAL 2012: 253-260 - [c16]Leonardo R. S. Campos, Rodrigo D. Oliveira, Jorge Dantas de Melo, Adrião Duarte Dória Neto:
Overhead-Controlled Routing in WSNs with Reinforcement Learning. IDEAL 2012: 622-629 - [c15]Robinson Alves, Carlos Alberto de Araújo Padilha, Jorge Dantas de Melo, Adrião Duarte Dória Neto:
ARTMAP with Modified Internal Category Geometry to Reduce the Category Proliferation. IJCCI 2012: 653-658 - [c14]R. N. A. Prado, Jorge Dantas de Melo, J. A. N. Oliveira, Adrião Duarte Dória Neto:
FPGA based implementation of a Fuzzy Neural Network modular architecture for embedded systems. IJCNN 2012: 1-7 - 2011
- [c13]Daniel de Araújo, Adrião Duarte Dória Neto, Allan de Medeiros Martins, Jorge Dantas de Melo:
Comparative study on dimension reduction techniques for cluster analysis of microarray data. IJCNN 2011: 1835-1842 - [c12]Helton Maia Peixoto, Anthony A. R. Diniz, Nathalee Cavalcante de Almeida, Jorge Dantas de Melo, Ana Maria G. Guerreiro, Adrião Duarte Dória Neto:
Modeling a system for monitoring an object using artificial neural networks and reinforcement learning. IJCNN 2011: 2327-2332 - 2010
- [j3]Vinícius Ponte Machado, Adrião Duarte Dória Neto, Jorge Dantas de Melo:
A Neural Network Multiagent Architecture Applied to Industrial Networks for Dynamic Allocation of Control Strategies Using Standard Function Blocks. IEEE Trans. Ind. Electron. 57(5): 1823-1834 (2010) - [c11]Daniel de Araújo, Adrião Duarte Dória Neto, Jorge Dantas de Melo, Allan de Medeiros Martins:
Clustering Using Elements of Information Theory. ICANN (3) 2010: 397-406 - [c10]Carlos Alberto de Araújo Padilha, Naiyan Hari Cândido Lima, Adrião Duarte Dória Neto, Jorge Dantas de Melo:
An genetic approach to Support Vector Machines in classification problems. IJCNN 2010: 1-4 - [c9]Anthony A. R. Diniz, Paulo R. M. Pires, Jorge Dantas de Melo, Adrião Duarte Dória Neto, Armando J. J. L. Filho, Sérgio M. Kanazava:
Reinforcement Learning for Controlling a Coupled Tank System Based on the Scheduling of Different Controllers. SBRN 2010: 212-216
2000 – 2009
- 2009
- [c8]Danniel C. Lopes, Rafael Marrocos Magalhães, Jorge Dantas de Melo, Adrião Duarte Dória Neto:
Implementation and Evaluation of Modular Neural Networks in a Multiple Processor System on Chip to Classify Electric Disturbance. CSE (1) 2009: 412-417 - [c7]Naiyan Hari Cândido Lima, Adrião Duarte Dória Neto, Jorge Dantas de Melo:
Creating an ensemble of diverse support vector machines using Adaboost. IJCNN 2009: 1802-1806 - [c6]João Paulo Queiroz dos Santos, Francisco Chagas de Lima, Rafael Marrocos Magalhães, Jorge Dantas de Melo, Adrião Duarte Dória Neto:
A parallel hybrid implementation using genetic algorithm, GRASP and reinforcement learning. IJCNN 2009: 2798-2803 - 2008
- [j2]A. de Medeiros Brito, Adrião Duarte Dória Neto, Jorge Dantas de Melo, Luiz Marcos Garcia Gonçalves:
An Adaptive Learning Approach for 3-D Surface Reconstruction From Point Clouds. IEEE Trans. Neural Networks 19(6): 1130-1140 (2008) - [c5]Vinícius Ponte Machado, Adrião Duarte Dória Neto, Jorge Dantas de Melo, Leonardo Guanabara, Juliana Medeiros:
A neural network multiagent architecture applied to fieldbus intelligent control. ETFA 2008: 567-574 - [c4]Francisco Chagas de Lima, Jorge Dantas de Melo, Adrião Duarte Dória Neto:
Using the Q-learning algorithm in the constructive phase of the GRASP and reactive GRASP metaheuristics. IJCNN 2008: 4169-4176 - 2007
- [c3]Francisco Chagas de Lima, Jorge Dantas de Melo, Adrião Duarte Dória Neto:
Using Q-learning Algorithm for Initialization of the GRASP Metaheuristic and Genetic Algorithm. IJCNN 2007: 1243-1248 - [c2]Francisco Chagas de Lima, Jorge Dantas de Melo, Adrião Duarte Dória Neto:
Proposal for Improvement of GRASP Metaheuristic and Genetic Algorithm Using the Q-Learning Algorithm. ISDA 2007: 465-470 - 2005
- [c1]Manoel Junior Leandro de Lima, Jorge Dantas de Melo, Adrião Duarte Dória Neto:
Hierarchical Reinforcement Learning for Metrical Task Systems. HIS 2005: 251-258
1990 – 1999
- 1990
- [j1]Jorge Dantas de Melo, Jean-Louis Calvet, J. M. Garcia:
Vectorization and multitasking of dynamic programming in control: experiments on a CRAY-2. Parallel Comput. 13(3): 261-269 (1990)
Coauthor Index
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