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Jorge Dantas de Melo

Observed names: Jorge D de Melo, Jorge D. Melo, Jorge D. de Melo, Jorge Dantas De Melo, Jorge Dantas Melo, Jorge Melo
OpenAlex ID: A5113688697
Reactive Search strategies using Reinforcement Learning, local search algorithms and Variable Neighborhood Search
2014 · João Paulo Queiroz dos Santos, Jorge Dantas de Melo, et al. · Expert Systems with Applications · 64
An Adaptive Learning Approach for 3-D Surface Reconstruction From Point Clouds
2008 · Agostinho de Medeiros Brito Junior, AdriÃo Duarte DÓria Neto, et al. · IEEE Transactions on Neural Networks · 37
Comparative study on dimension reduction techniques for cluster analysis of microarray data
2011 · Daniel Araujo, Adriao Doria Neto, et al. · International Joint Conference on Neural Networks (IJCNN) · 22
Creating an ensemble of diverse support vector machines using Adaboost
2009 · Naiyan Hari Candido Lima, Adriao Duarte Doria Neto, et al. · International Joint Conference on Neural Networks (IJCNN) · 21
A Neural Network Multiagent Architecture Applied to Industrial Networks for Dynamic Allocation of Control Strategies Using Standard Function Blocks
2009 · Vinicius Machado, Adriao Neto, et al. · IEEE Transactions on Industrial Electronics · 16
Using Q-learning Algorithm for Initialization of the GRASP Metaheuristic and Genetic Algorithm
2007 · Francisco Chagas de L, Jorge Dantas de Melo, et al. · IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks · 16
Q-Managed: A new algorithm for a multiobjective reinforcement learning
2020 · Thiago Henrique Freire de Oliveira, Luiz Paulo de Souza Medeiros, et al. · Expert Systems with Applications · 14
Hybrid Metaheuristics Using Reinforcement Learning Applied to Salesman Traveling Problem
2010 · Francisco Chagas De Lima Jnior, Adriao Duarte Doria Neto, et al. · InTech eBooks · 13
Reinforcement Learning for Controlling a Coupled Tank System Based on the Scheduling of Different Controllers
2010 · A A R Diniz, P R M Pires, et al. · Brazilian Symposium on Neural Networks (SBRN) · 9
A parallel hybrid implementation using genetic algorithm, GRASP and reinforcement learning
2009 · Joao Paulo Queiroz dos Santos, Francisco Chagas de Lima, et al. · International Joint Conference on Neural Networks (IJCNN) · 9
Hierarchical Reinforcement Learning and Parallel Computing Applied to the k-server Problem
2016 · Mademerson Leandro Costa, Carlos Alberto Araujo Padilha, et al. · IEEE Latin America Transactions · 8
Definition of an Architecture to Configure Artificial Neural Networks Topologies Using Partial Reconfiguraton in FPGA
2015 · Carlos Alberto de Albuquerque Silva, Adriao Duarte Doria Neto, et al. · IEEE Latin America Transactions · 6
An genetic approach to Support Vector Machines in classification problems
2010 · Carlos Alberto de A. Padilha, Naiyan Hari C. Lima, et al. · International Joint Conference on Neural Networks (IJCNN) · 6
Clustering Using Elements of Information Theory
2010 · Daniel de Araújo, Adrião Dória Neto, et al. · Lecture notes in computer science · 6
Using the Q-learning algorithm in the constructive phase of the GRASP and reactive GRASP metaheuristics
2008 · Francisco Chagas de Lima, Jorge Dantas de Melo, et al. · International Joint Conference on Neural Networks (IJCNN) · 6
Deep reinforcement learning applied to the k-server problem
2019 · Ramon Augusto Sousa Lins, Adrião Duarte Neto Dória, et al. · Expert Systems with Applications · 5
Overhead-Controlled Routing in WSNs with Reinforcement Learning
2012 · Leonardo R. S. Campos, Rodrigo D. Oliveira, et al. · Lecture notes in computer science · 5
Random Subspace Method and Genetic Algorithm Applied to a LS-SVM Ensemble
2012 · Carlos Padilha, Adrião Dória Neto, et al. · Lecture notes in computer science · 5
A Parallel Hybrid Implementation Using Genetic Algorithms, GRASP and Reinforcement Learning for the Salesman Traveling Problem
2010 · João Paulo Queiroz dos Santos, Francisco Chagas de Lima Júnior, et al. · Adaptation, learning, and optimization · 5
Implementation and Evaluation of Modular Neural Networks in a Multiple Processor System on Chip to Classify Electric Disturbance
2009 · Danniel C. Lopes, Rafael M. Magalhaes, et al. · 5
Semantic alarm correlation based on ontologies
2013 · Raphaela Lima, Gustavo Leitao, et al. · IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) · 4
RSGALS-SVM: Random Subspace Method Applied to a LS-SVM Ensemble Optimized by Genetic Algorithm
2012 · Carlos Padilha, Adrião D. Dória Neto, et al. · Lecture notes in computer science · 4
Evolutionary Computation and Parallel Processing Applied to the Design of Multilayer Perceptrons
2006 · Ana Claudia M. L. Albuquerque, Jorge D. Melo, et al. · Springer eBooks · 4
MultiAgent architecture for function blocks: Intelligent configuration strategies allocation
2008 · Vinicius Machado, Adriao Duarte, et al. · IEEE International Conference on Industrial Informatics (INDIN) · 3
Implementation of a modular neural network in a multiple processor system on FPGA to classify electric disturbance
2009 · Danniel C. Lopes, Rafael M. Magalhaes, et al. · Annual Conference of the IEEE Industrial Electronics Society (IECON) · 2
Works count: 50
Citation count: 301
H-index: 9
I10-index: 8
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