Abstract is missing.
- Combining Meta-Learning with Multi-objective Particle Swarm Algorithms for SVM Parameter Selection: An Experimental AnalysisPéricles B. C. de Miranda, Ricardo B. C. Prudêncio, André C. P. L. F. Carvalho, Carlos Soares. 1-6 [doi]
- Meta-Learning for Periodic Algorithm Selection in Time-Changing DataAndré Luis Debiaso Rossi, André C. P. L. F. Carvalho, Carlos Soares. 7-12 [doi]
- A Study on Class Noise Detection and EliminationLuís Paulo F. Garcia, Ana Carolina Lorena, André C. P. L. F. Carvalho. 13-18 [doi]
- Negative Selection with High-Dimensional Support for Keystroke DynamicsPaulo Henrique Pisani, Ana Carolina Lorena. 19-24 [doi]
- Variable-Wise Kernel-Based Clustering Algorithms for Interval-Valued DataFrancisco de A. T. de Carvalho, Gibson B. N. Barbosa, Marcelo R. P. Ferreira. 25-30 [doi]
- An Energy Exchanging Mechanism for Data ClusteringRoberto Alves Gueleri, Liang Zhao. 31-36 [doi]
- A Density-Based Clustering Approach for Behavior Change Detection in Data StreamsRosane Maria Maffei Vallim, Jose Augusto Andrade Filho, André C. P. L. F. Carvalho, João Gama. 37-42 [doi]
- Combining Information from Distributed Evolutionary k-MeansMurilo Coelho Naldi, Ricardo José Gabrielli Barreto Campello. 43-48 [doi]
- A Comparison of External Clustering Evaluation Indices in the Context of Imbalanced Data SetsMarcilio C. P. de Souto, André L. V. Coelho, Katti Faceli, Tiemi C. Sakata, Viviane Bonadia, Ivan G. Costa. 49-54 [doi]
- On the Ensemble Prediction of Gene Regulatory Networks: A Comparative StudyMariana Recamonde Mendoza, Ana L. C. Bazzan. 55-60 [doi]
- Predicting Gene Functions Using Semi-supervised Clustering Algorithms with Objective Function OptimizationValmir Macário Filho, Ivan G. Costa, João F. L. Oliveira, Francisco de A. T. de Carvalho. 61-66 [doi]
- An Epsilon-Greedy Mutation Operator Based on Prior Knowledge for GA Convergence and Accuracy Improvement: An Application to Networks InferenceMariana Recamonde Mendoza, Adriano Velasque Werhli, Ana L. C. Bazzan. 67-72 [doi]
- A Semi-supervised Approach to Estimate the Number of Clusters per ClassDavidson M. Sestaro, Thiago F. Covoes, Eduardo R. Hruschka. 73-78 [doi]
- Particle Competition and Cooperation to Prevent Error Propagation from Mislabeled Data in Semi-supervised LearningFabricio A. Breve, Liang Zhao. 79-84 [doi]
- Robustness Analysis of Network-Based Semi-supervised Learning AlgorithmsBilzã Araújo, Liang Zhao. 85-90 [doi]
- Using Interacting Forces to Perform Semi-supervised LearningThiago Henrique Cupertino, Liang Zhao. 91-96 [doi]
- Firing Activity Induced by Nonidentical Signal Phases in Two Coupled Excitable NeuronsXiaoming Liang, Liang Zhao. 97-101 [doi]
- On the Universality of Quantum Logical Neural NetworksAdenilton J. da Silva, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira. 102-106 [doi]
- Hardware/Software Co-design Implementation of On-Chip BackpropagationMaurício A. Dias, Fernando Santos Osório, Denis F. Wolf. 107-112 [doi]
- A Hybrid RNN Model for Cursive Offline Handwriting RecognitionByron Leite Dantas Bezerra, Cleber Zanchettin, Vinícius Braga de Andrade. 113-118 [doi]
- Recurrent Self-Organizing Maps for Recognition of Grasp Sequence of MovementsPaulo Henrique Muniz Ferreira, Aluizio Fausto Ribeiro Araújo. 119-124 [doi]
- On-Line Learning Using a Connectionist Controller for Simulated Robot SoccerChristian Northfleet, Paulo Martins Engel, Milton Roberto Heinen. 125-130 [doi]
- Learning Abstract Behaviors with the Hierarchical Incremental Gaussian Mixture NetworkRenato de Pontes Pereira, Paulo Martins Engel, Rafael C. Pinto. 131-135 [doi]
- Self-Organizing Mapping of Robotic Environments Based on Neural NetworksMônica da Silva Figueiredo, Silvia Silva da Costa Botelho, Paulo Drews Jr., Celina Haffele Da Rocha. 136-141 [doi]
- SCAS-IS: Knowledge Extraction and Reuse in Multiprocessor Task Scheduling Based on Cellular AutomataMurillo Guimarães Carneiro, Gina M. B. Oliveira. 142-147 [doi]
- Performance Comparison of Parameter Variation Operators in Self-Adaptive Differential Evolution AlgorithmsRodrigo César Pedrosa Silva, Rodolfo Ayala Lopes, Alan R. R. de Freitas, Frederico G. Guimarães. 148-153 [doi]
- Multiobjective Genetic Optimization of Fuzzy Partitions and T-Norm Parameters in Fuzzy ClassifiersEdward Hinojosa Cárdenas, Heloisa A. Carmago. 154-159 [doi]
- A Multi-agent Approach to the Adaptation of Migration Topology in Island Model Evolutionary AlgorithmsRodolfo Ayala Lopes, Rodrigo César Pedrosa Silva, Felipe Campelo, Frederico G. Guimarães. 160-165 [doi]
- I-MOPSO: A Suitable PSO Algorithm for Many-Objective OptimizationAndre B. de Britto, Aurora Pozo. 166-171 [doi]
- Self-Controlling Dominance Particle Swarm OptimizationOlacir Rodrigues Castro Junior, Andre B. de Britto, Aurora Pozo. 172-177 [doi]
- Effect of the PSO Topologies on the Performance of the PSO-ELMElliackin M. N. Figueiredo, Teresa Bernarda Ludermir. 178-183 [doi]
- Particle Swarm Optimization Applied to the Dynamic Allocation ProblemJean L. Pierobom, Myriam Regattieri Delgado, Celso A. A. Kaestner. 184-189 [doi]
- Evolving Neural Networks Using Differential Evolution with Neighborhood-Based Mutation and Simple Subpopulation SchemeNicole L. Mineu, Adenilton J. da Silva, Teresa Bernarda Ludermir. 190-195 [doi]
- Extreme Learning for Evolving Hybrid Neural NetworksFernando Bordignon 0002, Fernando Gomide. 196-201 [doi]
- An Experimental Study of Ensemble Systems on Cancellable IrisFernando Pintro, Anne M. P. Canuto. 202-207 [doi]
- A Multiagent Approach for Metaheuristics Hybridization Applied to the Traveling Salesman ProblemGivanaldo R. de Souza, Elizabeth Ferreira Gouvea Goldbarg, Marco César Goldbarg, Anne M. P. Canuto. 208-213 [doi]
- Electrical Transmission Lines Design through Integer Multiobjective Particle Swarm Optimization ApproachHelon Vicente Hultmann Ayala, Leandro dos Santos Coelho, Fabio Alessandro Guerra, Mariana Cristina Coelho. 214-219 [doi]
- Harmony Search for Multi-objective OptimizationLucas M. Pavelski, Carolina P. de Almeida, Richard A. Gonçalves. 220-225 [doi]
- ADEMO/D: Adaptive Differential Evolution for Multiobjective ProblemsSandra M. Venske, Richard A. Gonçalves, Myriam Regattieri Delgado. 226-231 [doi]
- Using Katz Centrality to Classify Multiple Pattern TransformationsThiago Henrique Cupertino, Liang Zhao. 232-237 [doi]
- An Object-Based Visual Selection Model with Bottom-Up and Top-Down ModulationsAlcides X. Benicasa, Marcos G. Quiles, Liang Zhao, Roseli A. F. Romero. 238-243 [doi]
- A System Based on Swarm Particle Optimization to Extract Knowledge from Times Series DataHenrique C. T. Santos, Gabriela I. L. Alves, Neilson F. de Lima, Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira. 244-249 [doi]