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ORCID12. SBRN 2012: Curitiba, Paraná, Brazil
- Ana Carolina Lorena, Carlos Eduardo Thomaz, Aurora Trinidad Ramirez Pozo:
2012 Brazilian Symposium on Neural Networks, Curitiba, Paraná, Brazil, October 20-25, 2012. IEEE Computer Society 2012, ISBN 978-1-4673-2641-4
Supervised Machine Learning
- Péricles B. C. de Miranda, Ricardo B. C. Prudêncio, André C. P. L. F. de Carvalho
, Carlos Soares:
Combining Meta-Learning with Multi-objective Particle Swarm Algorithms for SVM Parameter Selection: An Experimental Analysis. 1-6 - André Luis Debiaso Rossi, André C. P. L. F. de Carvalho, Carlos Soares:
Meta-Learning for Periodic Algorithm Selection in Time-Changing Data. 7-12 - Luís Paulo F. Garcia, Ana Carolina Lorena, André C. P. L. F. de Carvalho:
A Study on Class Noise Detection and Elimination. 13-18 - Paulo Henrique Pisani, Ana Carolina Lorena:
Negative Selection with High-Dimensional Support for Keystroke Dynamics. 19-24
Unsupervised Machine Learning
- Francisco de A. T. de Carvalho, Gibson B. N. Barbosa, Marcelo Rodrigo Portela Ferreira:
Variable-Wise Kernel-Based Clustering Algorithms for Interval-Valued Data. 25-30 - Roberto Alves Gueleri, Liang Zhao:
An Energy Exchanging Mechanism for Data Clustering. 31-36 - Rosane Maria Maffei Vallim, Jose Augusto Andrade Filho, André C. P. L. F. de Carvalho, João Gama:
A Density-Based Clustering Approach for Behavior Change Detection in Data Streams. 37-42 - Murilo Coelho Naldi, Ricardo José Gabrielli Barreto Campello:
Combining Information from Distributed Evolutionary k-Means. 43-48
Bioinformatics
- Marcilio C. P. de Souto, André L. V. Coelho, Katti Faceli, Tiemi C. Sakata, Viviane Bonadia, Ivan G. Costa:
A Comparison of External Clustering Evaluation Indices in the Context of Imbalanced Data Sets. 49-54 - Mariana Recamonde Mendoza, Ana L. C. Bazzan:
On the Ensemble Prediction of Gene Regulatory Networks: A Comparative Study. 55-60 - Valmir Macário Filho, Ivan G. Costa, João F. L. Oliveira, Francisco de A. T. de Carvalho:
Predicting Gene Functions Using Semi-supervised Clustering Algorithms with Objective Function Optimization. 61-66 - Mariana Recamonde Mendoza, Adriano Velasque Werhli, Ana L. C. Bazzan:
An Epsilon-Greedy Mutation Operator Based on Prior Knowledge for GA Convergence and Accuracy Improvement: An Application to Networks Inference. 67-72
Semi-supervised Learning
- Davidson M. Sestaro, Thiago F. Covoes, Eduardo R. Hruschka:
A Semi-supervised Approach to Estimate the Number of Clusters per Class. 73-78 - Fabricio A. Breve, Liang Zhao:
Particle Competition and Cooperation to Prevent Error Propagation from Mislabeled Data in Semi-supervised Learning. 79-84 - Bilzã Araújo, Liang Zhao:
Robustness Analysis of Network-Based Semi-supervised Learning Algorithms. 85-90 - Thiago Henrique Cupertino, Liang Zhao:
Using Interacting Forces to Perform Semi-supervised Learning. 91-96
Neural Networks
- Xiaoming Liang, Liang Zhao:
Firing Activity Induced by Nonidentical Signal Phases in Two Coupled Excitable Neurons. 97-101 - Adenilton J. da Silva, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira:
On the Universality of Quantum Logical Neural Networks. 102-106 - Maurício Acconcia Dias, Fernando Santos Osório, Denis F. Wolf:
Hardware/Software Co-design Implementation of On-Chip Backpropagation. 107-112 - Byron Leite Dantas Bezerra, Cleber Zanchettin, Vinícius Braga de Andrade:
A Hybrid RNN Model for Cursive Offline Handwriting Recognition. 113-118
Control and Robotics
- Paulo Henrique Muniz Ferreira, Aluízio Fausto Ribeiro Araújo:
Recurrent Self-Organizing Maps for Recognition of Grasp Sequence of Movements. 119-124 - Christian Northfleet, Paulo Martins Engel, Milton Roberto Heinen:
On-Line Learning Using a Connectionist Controller for Simulated Robot Soccer. 125-130 - Renato de Pontes Pereira, Paulo Martins Engel, Rafael C. Pinto:
Learning Abstract Behaviors with the Hierarchical Incremental Gaussian Mixture Network. 131-135 - Mônica da Silva Figueiredo, Silvia Silva da Costa Botelho, Paulo Drews Jr., Celina Häffele Da Rocha:
Self-Organizing Mapping of Robotic Environments Based on Neural Networks. 136-141
Evolutionary Systems
- Murillo Guimarães Carneiro, Gina M. B. Oliveira:
SCAS-IS: Knowledge Extraction and Reuse in Multiprocessor Task Scheduling Based on Cellular Automata. 142-147 - Rodrigo César Pedrosa Silva, Rodolfo Ayala Lopes, Alan R. R. de Freitas, Frederico G. Guimarães:
Performance Comparison of Parameter Variation Operators in Self-Adaptive Differential Evolution Algorithms. 148-153 - Edward Hinojosa Cárdenas, Heloisa A. Carmago:
Multiobjective Genetic Optimization of Fuzzy Partitions and T-Norm Parameters in Fuzzy Classifiers. 154-159 - Rodolfo Ayala Lopes, Rodrigo César Pedrosa Silva, Felipe Campelo, Frederico G. Guimarães:
A Multi-agent Approach to the Adaptation of Migration Topology in Island Model Evolutionary Algorithms. 160-165
Swarm Intelligence
- Andre Britto, Aurora T. R. Pozo:
I-MOPSO: A Suitable PSO Algorithm for Many-Objective Optimization. 166-171 - Olacir Rodrigues Castro Junior, Andre Britto, Aurora T. R. Pozo:
Self-Controlling Dominance Particle Swarm Optimization. 172-177 - Elliackin M. N. Figueiredo, Teresa Bernarda Ludermir:
Effect of the PSO Topologies on the Performance of the PSO-ELM. 178-183 - Jean L. Pierobom, Myriam Regattieri Delgado, Celso A. A. Kaestner:
Particle Swarm Optimization Applied to the Dynamic Allocation Problem. 184-189
Hybrid Intelligent Systems
- Nicole L. Mineu, Adenilton J. da Silva, Teresa Bernarda Ludermir:
Evolving Neural Networks Using Differential Evolution with Neighborhood-Based Mutation and Simple Subpopulation Scheme. 190-195 - Fernando Bordignon, Fernando A. C. Gomide:
Extreme Learning for Evolving Hybrid Neural Networks. 196-201 - Fernando Pintro, Anne M. P. Canuto:
An Experimental Study of Ensemble Systems on Cancellable Iris. 202-207 - Givanaldo R. de Souza, Elizabeth Ferreira Gouvea Goldbarg, Marco César Goldbarg, Anne M. P. Canuto:
A Multiagent Approach for Metaheuristics Hybridization Applied to the Traveling Salesman Problem. 208-213
Multiobjective Optimization
- Helon Vicente Hultmann Ayala, Leandro dos Santos Coelho, Fabio Alessandro Guerra, Mariana Cristina Coelho:
Electrical Transmission Lines Design through Integer Multiobjective Particle Swarm Optimization Approach. 214-219 - Lucas M. Pavelski, Carolina P. de Almeida, Richard A. Gonçalves:
Harmony Search for Multi-objective Optimization. 220-225 - Sandra M. Venske, Richard A. Gonçalves, Myriam Regattieri Delgado:
ADEMO/D: Adaptive Differential Evolution for Multiobjective Problems. 226-231
Pattern Recognition
- Thiago Henrique Cupertino, Liang Zhao:
Using Katz Centrality to Classify Multiple Pattern Transformations. 232-237 - Alcides X. Benicasa, Marcos G. Quiles, Liang Zhao, Roseli A. F. Romero:
An Object-Based Visual Selection Model with Bottom-Up and Top-Down Modulations. 238-243 - Henrique Correia Torres Santos, Gabriela I. L. Alves, Neilson F. de Lima, Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira:
A System Based on Swarm Particle Optimization to Extract Knowledge from Times Series Data. 244-249
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