![]() | ![]() |
| 2012 | ||
|---|---|---|
| 144 | Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Combining Uncertainty Sampling methods for supporting the generation of meta-examples. Inf. Sci. 196: 1-14 (2012) | |
| 143 | Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto, Marley B. R. Vellasco: Automatic parameters selection in machine learning. Neurocomputing 75(1): 1-2 (2012) | |
| 142 | Adenilton J. da Silva, Wilson Rosa de Oliveira, Teresa Bernarda Ludermir: Classical and superposed learning for quantum weightless neural networks. Neurocomputing 75(1): 52-60 (2012) | |
| 2011 | ||
| 141 | Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, Teresa Bernarda Ludermir: Combining Meta-learning and Active Selection of Datasetoids for Algorithm Selection. HAIS (1) 2011: 164-171 | |
| 140 | Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, Teresa Bernarda Ludermir: Uncertainty Sampling-Based Active Selection of Datasetoids for Meta-learning. ICANN (2) 2011: 454-461 | |
| 139 | Joao Fausto Lorenzato de Oliveira, Teresa Bernarda Ludermir: Homogeneous Ensemble Selection through Hierarchical Clustering with a Modified Artificial Fish Swarm Algorithm. ICTAI 2011: 177-180 | |
| 138 | Natalia Flora de Lima, Teresa Bernarda Ludermir: Frankenstein PSO applied to neural network weights and architectures. IEEE Congress on Evolutionary Computation 2011: 2452-2456 | |
| 137 | Danielle N. G. Silva, Luciano D. S. Pacifico, Teresa Bernarda Ludermir: An evolutionary extreme learning machine based on group search optimization. IEEE Congress on Evolutionary Computation 2011: 574-580 | |
| 136 | Marcilio C. P. de Souto, Jose C. M. Oliveira, Teresa Bernarda Ludermir: A tool to implement probabilistic automata in RAM-based neural networks. IJCNN 2011: 1054-1060 | |
| 135 | Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, Teresa Bernarda Ludermir: Uncertainty sampling methods for selecting datasets in active meta-learning. IJCNN 2011: 1082-1089 | |
| 134 | Aida A. Ferreira, Teresa Bernarda Ludermir: Comparing evolutionary methods for reservoir computing pre-training. IJCNN 2011: 283-290 | |
| 133 | Danielle N. G. Silva, Luciano D. S. Pacifico, Teresa Bernarda Ludermir: Improved Group Search Optimizer based on cooperation among groups for feedforward networks training with Weight Decay. SMC 2011: 2133-2138 | |
| 132 | Ricardo Bastos Cavalcante Prudêncio, Marcilio C. P. de Souto, Teresa Bernarda Ludermir: Selecting Machine Learning Algorithms Using the Ranking Meta-Learning Approach. Meta-Learning in Computational Intelligence 2011: 225-243 | |
| 131 | Cleber Zanchettin, Teresa Bernarda Ludermir, Leandro M. Almeida: Hybrid Training Method for MLP: Optimization of Architecture and Training. IEEE Transactions on Systems, Man, and Cybernetics, Part B 41(4): 1097-1109 (2011) | |
| 130 | Teresa Bernarda Ludermir, Ricardo Bastos Cavalcante Prudêncio, Cleber Zanchettin: Feature and algorithm selection with Hybrid Intelligent Techniques. Int. J. Hybrid Intell. Syst. 8(3): 115-116 (2011) | |
| 129 | Ivna Valença, Tarcísio Lucas, Teresa Bernarda Ludermir, Mêuser Jorge Silva Valença: Selecting variables with search algorithms and neural networks to improve the process of time series forecasting. Int. J. Hybrid Intell. Syst. 8(3): 129-141 (2011) | |
| 128 | Gecynalda S. da S. Gomes, Teresa Bernarda Ludermir, Leyla M. M. R. Lima: Comparison of new activation functions in neural network for forecasting financial time series. Neural Computing and Applications 20(3): 417-439 (2011) | |
| 2010 | ||
| 127 | Teresa Bernarda Ludermir, Karla Figueiredo, Carlos E. Thomaz: 11th Brazilian Symposium on Neural Networks (SBRN 2010), Sao Paulo, 23-28 October, 2010 IEEE 2010 | |
| 126 | Adenilton J. da Silva, Nicole L. Mineu, Teresa Bernarda Ludermir: Evolving Artificial Neural Networks Using Adaptive Differential Evolution. IBERAMIA 2010: 396-405 | |
| 125 | Aida A. Ferreira, Teresa Bernarda Ludermir: Evolutionary strategy for simultaneous optimization of parameters, topology and reservoir weights in Echo State Networks. IJCNN 2010: 1-7 | |
| 124 | Nicole L. Mineu, Teresa Bernarda Ludermir, Leandro M. Almeida: Topology optimization for artificial neural networks using differential evolution. IJCNN 2010: 1-7 | |
| 123 | Adenilton J. da Silva, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira: Superposition Based Learning Algorithm. SBRN 2010: 1-6 | |
| 122 | Ivna Valença, Teresa Bernarda Ludermir, Mêuser Jorge Silva Valença: Hybrid Systems to Select Variables for Time Series Forecasting Using MLP and Search Algorithms. SBRN 2010: 247-252 | |
| 121 | Adenilton J. da Silva, Wilson Rosa de Oliveira, Teresa Bernarda Ludermir: A Weightless Neural Node Based on a Probabilistic Quantum Memory. SBRN 2010: 259-264 | |
| 120 | Cleber Zanchettin, Leandro L. Minku, Teresa Bernarda Ludermir: Design of Experiments in Neuro-Fuzzy Systems. International Journal of Computational Intelligence and Applications 9(2): 137-152 (2010) | |
| 119 | Leandro M. Almeida, Teresa Bernarda Ludermir: A multi-objective memetic and hybrid methodology for optimizing the parameters and performance of artificial neural networks. Neurocomputing 73(7-9): 1438-1450 (2010) | |
| 2009 | ||
| 118 | Rodrigo G. F. Soares, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho: An Analysis of Meta-learning Techniques for Ranking Clustering Algorithms Applied to Artificial Data. ICANN (1) 2009: 131-140 | |
| 117 | Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Active Generation of Training Examples in Meta-Regression. ICANN (1) 2009: 30-39 | |
| 116 | Jefferson R. Souza, Teresa Bernarda Ludermir, Leandro M. Almeida: A Two Stage Clustering Method Combining Self-Organizing Maps and Ant K-Means. ICANN (1) 2009: 485-494 | |
| 115 | Ivna Valença, Teresa Bernarda Ludermir: Hybrid Systems for River Flood Forecasting Using MLP, SOM and Fuzzy Systems. ICANN (1) 2009: 557-566 | |
| 114 | Cleber Zanchettin, Teresa Bernarda Ludermir: Hybrid Optimization Technique for Artificial Neural Networks Design. ICEIS (2) 2009: 242-247 | |
| 113 | Aida A. Ferreira, Teresa Bernarda Ludermir: Genetic algorithm for reservoir computing optimization. IJCNN 2009: 811-815 | |
| 112 | Gecynalda S. da S. Gomes, Teresa Bernarda Ludermir, Leandro M. Almeida: Neural networks with asymmetric activation function for function approximation. IJCNN 2009: 980-987 | |
| 111 | Antonio Miguel F. Zarth, Teresa Bernarda Ludermir: Optimization of Neural Networks Weights and Architecture: A Multimodal Methodology. ISDA 2009: 209-214 | |
| 110 | Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Combining Uncertainty Sampling Methods for Active Meta-Learning. ISDA 2009: 220-225 | |
| 109 | Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto, Wilson Rosa de Oliveira: On a hybrid weightless neural system. IJBIC 1(1/2): 93-104 (2009) | |
| 2008 | ||
| 108 | Leandro M. Almeida, Teresa Bernarda Ludermir: An Evolutionary Approach for Tuning Artificial Neural Network Parameters. HAIS 2008: 156-163 | |
| 107 | Renato Fernandes Corrêa, Teresa Bernarda Ludermir: Improved Semantic Mapping and SOM Applied to Document Organization. HIS 2008: 284-289 | |
| 106 | Aida A. Ferreira, Teresa Bernarda Ludermir: Using Reservoir Computing for Forecasting Time Series: Brazilian Case Study. HIS 2008: 602-607 | |
| 105 | Leandro M. Almeida, Teresa Bernarda Ludermir: Tuning Artificial Neural Networks Parameters Using an Evolutionary Algorithm. HIS 2008: 927-930 | |
| 104 | Gecynalda S. da S. Gomes, Teresa Bernarda Ludermir: Complementary Log-Log and Probit: Activation Functions Implemented in Artificial Neural Networks. HIS 2008: 939-942 | |
| 103 | Silvio B. Guerra, Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Predicting the Performance of Learning Algorithms Using Support Vector Machines as Meta-regressors. ICANN (1) 2008: 523-532 | |
| 102 | Aida A. Ferreira, Teresa Bernarda Ludermir, Ronaldo R. B. de Aquino, Milde M. S. Lira, Otoni Nóbrega Neto: Investigating the use of Reservoir Computing for forecasting the hourly wind speed in short -term. IJCNN 2008: 1649-1656 | |
| 101 | Kelly P. Silva, Rodrigo G. F. Soares, Francisco de A. T. de Carvalho, Teresa Bernarda Ludermir: Evolving both size and accuracy of RBF networks using Memetic Algorithm. IJCNN 2008: 1938-1944 | |
| 100 | Rodrigo G. F. Soares, Kelly P. Silva, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho: An evolutionary approach for the clustering data problem. IJCNN 2008: 1945-1950 | |
| 99 | Cleber Zanchettin, Teresa Bernarda Ludermir: Feature subset selection in a methodology for training and improving artificial neural network weights and connections. IJCNN 2008: 1951-1958 | |
| 98 | Leandro M. Almeida, Teresa Bernarda Ludermir: An improved method for automatically searching near-optimal artificial Neural Networks. IJCNN 2008: 2235-2242 | |
| 97 | Marcílio Carlos Pereira de Souto, Daniel S. A. de Araujo, Ivan G. Costa, Rodrigo G. F. Soares, Teresa Bernarda Ludermir, Alexander Schliep: Comparative study on normalization procedures for cluster analysis of gene expression datasets. IJCNN 2008: 2792-2798 | |
| 96 | Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Active Meta-Learning with Uncertainty Sampling and Outlier Detection. IJCNN 2008: 346-351 | |
| 95 | Marcílio Carlos Pereira de Souto, Ricardo Bastos Cavalcante Prudêncio, Rodrigo G. F. Soares, Daniel S. A. de Araujo, Ivan G. Costa, Teresa Bernarda Ludermir, Alexander Schliep: Ranking and selecting clustering algorithms using a meta-learning approach. IJCNN 2008: 3729-3735 | |
| 94 | Renato Fernandes Corrêa, Teresa Bernarda Ludermir: Semantic mapping and K-means applied to hybrid SOM-based document organization system construction. SAC 2008: 1112-1116 | |
| 93 | Wilson Rosa de Oliveira, Adenilton J. da Silva, Teresa Bernarda Ludermir, Amanda Leonel, Wilson R. Galindo, Jefferson C. C. Pereira: Quantum Logical Neural Networks. SBRN 2008: 147-152 | |
| 92 | Patrícia M. Santos, Teresa Bernarda Ludermir, Ricardo Bastos Cavalcante Prudêncio: Selecting Neural Network Forecasting Models Using the Zoomed-Ranking Approach. SBRN 2008: 165-170 | |
| 91 | Ricardo Bastos Cavalcante Prudêncio, Silvio B. Guerra, Teresa Bernarda Ludermir: Using Support Vector Machines to Predict the Performance of MLP Neural Networks. SBRN 2008: 201-206 | |
| 90 | Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto, Wilson Rosa de Oliveira: Weightless Neural Networks: Knowledge-Based Inference System. SBRN 2008: 207-212 | |
| 89 | Marcílio Carlos Pereira de Souto, Ivan G. Costa, Daniel S. A. de Araujo, Teresa Bernarda Ludermir, Alexander Schliep: Clustering cancer gene expression data: a comparative study. BMC Bioinformatics 9: (2008) | |
| 88 | Teresa Bernarda Ludermir, Andreas König, André Carlos Ponce Leon Ferreira de Carvalho: Special Issue HIS 2007. Int. J. Hybrid Intell. Syst. 5(2): 57-58 (2008) | |
| 87 | Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Selective generation of training examples in active meta-learning. Int. J. Hybrid Intell. Syst. 5(2): 59-70 (2008) | |
| 86 | Fernanda L. Minku, Teresa Bernarda Ludermir: Clustering and co-evolution to construct neural network ensembles: An experimental study. Neural Networks 21(9): 1363-1379 (2008) | |
| 2007 | ||
| 85 | Leandro M. Almeida, Teresa Bernarda Ludermir: Automatically searching near-optimal artificial neural networks. ESANN 2007: 549-554 | |
| 84 | Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Active Selection of Training Examples for Meta-Learning. HIS 2007: 126-131 | |
| 83 | Marcio Carvalho, Teresa Bernarda Ludermir: Particle Swarm Optimization of Neural Network Architectures andWeights. HIS 2007: 336-339 | |
| 82 | Eleonora Ma. Jesus Oliveira, Paulemir G. Campos, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho, Wilson Rosa de Oliveira: Application of a Hybrid Classifier to the Recognition of Petrochemical Odors. HIS 2007: 78-83 | |
| 81 | Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Active Learning to Support the Generation of Meta-examples. ICANN (1) 2007: 817-826 | |
| 80 | Aida A. Ferreira, Francisco Nascimento Jr., Ing Ren Tsang, George D. C. Cavalcanti, Teresa Bernarda Ludermir, Ronaldo R. B. de Aquino: Analysis of mammogram using self-organizing neural networks based on spatial isomorphism. IJCNN 2007: 1796-1801 | |
| 79 | Cleber Zanchettin, Teresa Bernarda Ludermir: Comparison of the Effectiveness of Different Cost Functions in Global Optimization Techniques. IJCNN 2007: 2701-2706 | |
| 78 | Cleber Zanchettin, Teresa Bernarda Ludermir: Wavelet filter for noise reduction and signal compression in an artificial nose. Appl. Soft Comput. 7(1): 246-256 (2007) | |
| 2006 | ||
| 77 | Leandro M. Almeida, Teresa Bernarda Ludermir: A Hybrid Method for Searching Near-Optimal Artificial Neural Networks. HIS 2006: 36 | |
| 76 | Marcio Carvalho, Teresa Bernarda Ludermir: Particle Swarm Optimization of Feed-Forward Neural Networks with Weight Decay. HIS 2006: 5 | |
| 75 | Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: A Machine Learning Approach to Define Weights for Linear Combination of Forecasts. ICANN (1) 2006: 274-283 | |
| 74 | Marcio Carvalho, Teresa Bernarda Ludermir: Hybrid Training of Feed-Forward Neural Networks with Particle Swarm Optimization. ICONIP (2) 2006: 1061-1070 | |
| 73 | Gecynalda Soares S. Gomes, Teresa Bernarda Ludermir: Feature Selection for Neural Networks Through Binomial Regression. ICONIP (2) 2006: 737-745 | |
| 72 | André Luis Santiago Maia, Francisco de A. T. de Carvalho, Teresa Bernarda Ludermir: A Hybrid Model for Symbolic Interval Time Series Forecasting. ICONIP (2) 2006: 934-941 | |
| 71 | Fernanda L. Minku, Teresa Bernarda Ludermir: EFuNN Ensembles Construction Using a Clustering Method and a Coevolutionary Multi-objective Genetic Algorithm. ICONIP (3) 2006: 884-891 | |
| 70 | Gecynalda Soares S. Gomes, André Luis Santiago Maia, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho, Aluizio F. R. Araújo: Hybrid model with dynamic architecture for forecasting time series. IJCNN 2006: 3742-3747 | |
| 69 | Cleber Zanchettin, Teresa Bernarda Ludermir: A methodology to train and improve artificial neural networks' weights and connections. IJCNN 2006: 5267-5274 | |
| 68 | Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: LearningWeights for Linear Combination of Forecasting Methods. SBRN 2006: 113-118 | |
| 67 | André Luis Santiago Maia, Francisco de A. T. de Carvalho, Teresa Bernarda Ludermir: Symbolic interval time series forecasting using a hybrid model. SBRN 2006: 202-207 | |
| 66 | Fernanda L. Minku, Teresa Bernarda Ludermir: EFuNN Ensembles Construction Using CONE with Multi-objective GA. SBRN 2006: 48-53 | |
| 65 | Marcio Carvalho, Teresa Bernarda Ludermir: An Analysis Of PSO Hybrid Algorithms For Feed-Forward Neural Networks Training. SBRN 2006: 6-11 | |
| 64 | Renato Fernandes Corrêa, Teresa Bernarda Ludermir: A Hybrid SOM-Based Document Organization System. SBRN 2006: 90-95 | |
| 63 | Cleber Zanchettin, Teresa Bernarda Ludermir: The Influence of Different Cost Functions in Global Optimization Techniques. SBRN 2006: 96-101 | |
| 62 | Teresa Bernarda Ludermir, Akio Yamazaki, Cleber Zanchettin: An Optimization Methodology for Neural Network Weights and Architectures. IEEE Transactions on Neural Networks 17(6): 1452-1459 (2006) | |
| 61 | Renato Fernandes Corrêa, Teresa Bernarda Ludermir: Improving self-organization of document collections by semantic mapping. Neurocomputing 70(1-3): 62-69 (2006) | |
| 2005 | ||
| 60 | Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir, Anelle Valença: River Flow Forecasting with Constructive Neural Network. Australian Conference on Artificial Intelligence 2005: 1031-1036 | |
| 59 | Fernanda L. Minku, Teresa Bernarda Ludermir: Evolutionary strategies and genetic algorithms for dynamic parameter optimization of evolving fuzzy neural networks. Congress on Evolutionary Computation 2005: 1951-1958 | |
| 58 | Paulemir G. Campos, Teresa Bernarda Ludermir: Literal and ProRulext: Algorithms for Rule Extraction of ANNs. HIS 2005: 143-148 | |
| 57 | Amanda Pimentel e Silva Lins, Teresa Bernarda Ludermir: Hybrid Optimization Algorithm for the Definition of MLP Neural Network Architectures and Weights. HIS 2005: 149-154 | |
| 56 | Cleber Zanchettin, Ferdinand L. Minku, Teresa Bernarda Ludermir: Design of Experiments in Neuro-Fuzzy Systems. HIS 2005: 218-226 | |
| 55 | Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir, Anelle Valença: River Flow Forecasting for Reservoir management through Neural Networks. HIS 2005: 545-547 | |
| 54 | Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir, Anelle Valença: Modeling of the rainfall-runoff relationship with artificial neural network. HIS 2005: 548-550 | |
| 53 | Aida A. Ferreira, Teresa Bernarda Ludermir, Ronaldo R. B. de Aquino: Comparing Neural Network Architecture for Pattern Recognize System on Artificial Noses. ICANN (1) 2005: 635-640 | |
| 52 | Teresa Bernarda Ludermir, C. R. S. Lopes, A. B. Ludermir, Marcílio Carlos Pereira de Souto: Neural Network Use for the Identification of Factors Related to Common Mental Disorders. ICANN (1) 2005: 653-658 | |
| 51 | Cleber Zanchettin, Teresa Bernarda Ludermir: Hybrid Technique for Artificial Neural Network Architecture and Weight Optimization. PKDD 2005: 709-716 | |
| 50 | André Carlos Ponce Leon Ferreira de Carvalho, Antônio de Pádua Braga, Teresa Bernarda Ludermir: Credit Card Users' Data Mining. Encyclopedia of Information Science and Technology (I) 2005: 603-605 | |
| 49 | Estefane G. M. de Lacerda, André Carlos Ponce Leon Ferreira de Carvalho, Antônio de Pádua Braga, Teresa Bernarda Ludermir: Evolutionary Radial Basis Functions for Credit Assessment. Appl. Intell. 22(3): 167-181 (2005) | |
| 48 | Marcílio Carlos Pereira de Souto, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira: Equivalence between RAM-based neural networks and probabilistic automata. IEEE Transactions on Neural Networks 16(4): 996-999 (2005) | |
| 47 | Cleber Zanchettin, Teresa Bernarda Ludermir: Hybrid neural systems for pattern recognition in artificial noses. Int. J. Neural Syst. 15(1-2): 137-149 (2005) | |
| 2004 | ||
| 46 | Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Using Machine Learning Techniques to Combine Forecasting Methods. Australian Conference on Artificial Intelligence 2004: 1122-1127 | |
| 45 | Patrícia Maforte dos Santos, Teresa Bernarda Ludermir, Ricardo Bastos Cavalcante Prudêncio: Selection of Time Series Forecasting Models based on Performance Information. HIS 2004: 366-371 | |
| 44 | Alzennyr Da Silva, Francisco de A. T. de Carvalho, Teresa Bernarda Ludermir, Nicomedes Cavalcanti: Comparing Metrics in Fuzzy Clustering for Symbolic Data on SODAS Format. IBERAMIA 2004: 727-736 | |
| 43 | Renato Fernandes Corrêa, Teresa Bernarda Ludermir: Dimensionality Reduction by Semantic Mapping in Text Categorization. ICONIP 2004: 1032-1037 | |
| 42 | Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir: Hydrological Forecasting and Updating Procedures for Neural Network. ICONIP 2004: 1304-1309 | |
| 41 | Amanda Pimentel e Silva Lins, Teresa Bernarda Ludermir: A Neighbor Generation Mechanism Optimizing Neural Networks. ICONIP 2004: 613-618 | |
| 40 | Renato Fernandes Corrêa, Teresa Bernarda Ludermir: Web Documents Categorization Using Neural Networks. ICONIP 2004: 758-762 | |
| 39 | Cleber Zanchettin, Teresa Bernarda Ludermir: Evolving Fuzzy Neural Networks Applied to Odor Recognition. ICONIP 2004: 953-958 | |
| 38 | Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Meta-learning approaches to selecting time series models. Neurocomputing 61: 121-137 (2004) | |
| 37 | Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho: A Modal Symbolic Classifier for selecting time series models. Pattern Recognition Letters 25(8): 911-921 (2004) | |
| 2003 | ||
| 36 | Cleber Zanchettin, Teresa Bernarda Ludermir: Wavelet Filter for Noise Reduction and Signal Compression in an Artificial Nose. HIS 2003: 907-916 | |
| 35 | Cleber Zanchettin, Teresa Bernarda Ludermir: A Neuro-Fuzzy Model Applied to Odor Recognition in an Artificial Nose. HIS 2003: 917-926 | |
| 34 | Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Selecting and Ranking Time Series Models Using the NOEMON Approach. ICANN 2003: 654-661 | |
| 33 | Jairo Diniz Filho, Teresa Bernarda Ludermir: Modeling a Particular Decision Process by Using a Modulatory Activation Function. Int. J. Neural Syst. 13(2): 111-118 (2003) | |
| 32 | Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto: Introduction by Guest Editors. Int. J. Neural Syst. 13(2): 55-57 (2003) | |
| 31 | Akio Yamazaki, Teresa Bernarda Ludermir: Neural Network Training with Global Optimization Techniques. Int. J. Neural Syst. 13(2): 77-86 (2003) | |
| 2002 | ||
| 30 | Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto: 7th Brazilian Symposium on Neural Networks (SBRN 2002), 11-14 November 2002, Recife, Brazil IEEE Computer Society 2002 | |
| 29 | Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Selection of Models for Time Series Prediction via Meta-Learning. HIS 2002: 74-83 | |
| 28 | Maria Silva Santos Barbosa, Teresa Bernarda Ludermir, Marizete Silva Santos, Francisco Luiz dos Santos, José Edison Gomes de Souza, Celso Pinto de Melo: Pattern recognition of gases of petroleum based on RBF model. SBRN 2002: 111 | |
| 27 | C. R. S. Lopes, Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto, A. B. Ludermir: Neural Networks for the analysis of Common Mental Disorders Factors. SBRN 2002: 114 | |
| 26 | Eleonora Ma. Jesus Oliveira, Teresa Bernarda Ludermir: Forecasting the IBOVESPA Using NARX Networks and Random Walk Model . SBRN 2002: 115-117 | |
| 25 | Estefane G. M. de Lacerda, André Carlos Ponce Leon Ferreira de Carvalho, Teresa Bernarda Ludermir: A Study of Crossvalidation and Bootstrap as Objective Functions for Genetic Algorithms. SBRN 2002: 118-123 | |
| 24 | Akio Yamazaki, Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto: Global Optimization Methods for Designing and Training Neural Networks. SBRN 2002: 136-141 | |
| 23 | Renato Fernandes Corrêa, Teresa Bernarda Ludermir: Automatic Text Categorization: Case Study. SBRN 2002: 150 | |
| 22 | Domingos Vanderlei Filho, Marcos A. dos Santos, Teresa Bernarda Ludermir, Mêuser Jorge Silva Valença: A Fuzzy Approach to Support a Musculoskeletal Disorders Diagnosis. SBRN 2002: 154-155 | |
| 21 | José Carlos Martins Oliveira, Marcílio Carlos Pereira de Souto, Teresa Bernarda Ludermir: Implementation of Probabilistic Automata in Weightless Neural Networks. SBRN 2002: 235 | |
| 20 | Jairo Diniz Filho, Teresa Bernarda Ludermir: Modulatory Interaction as a Support to Modeling Neural Substrates of the Decision Process. SBRN 2002: 242 | |
| 19 | Wilson Rosa de Oliveira, Marcílio Carlos Pereira de Souto, Teresa Bernarda Ludermir: Turing Machines with Finite Memory. SBRN 2002: 67-73 | |
| 18 | Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir: NeuroInflow: The New Model to Forecast Average Monthly Inflow. SBRN 2002: 74-79 | |
| 17 | Estefane G. M. de Lacerda, André Carlos Ponce Leon Ferreira de Carvalho, Teresa Bernarda Ludermir: Model selection via Genetic Algorithms for RBF networks. Journal of Intelligent and Fuzzy Systems 13(2-4): 111-122 (2002) | |
| 16 | Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto: The VIIth Brazilian Symposium on Neural Networks (SBRN'02). Journal of Intelligent and Fuzzy Systems 13(2-4): 61-62 (2002) | |
| 15 | Wilson Rosa de Oliveira, Marcílio Carlos Pereira de Souto, Teresa Bernarda Ludermir: Turing's analysis of computation and artificial neural networks. Journal of Intelligent and Fuzzy Systems 13(2-4): 85-98 (2002) | |
| 14 | Estefane G. M. de Lacerda, André Carlos Ponce Leon Ferreira de Carvalho, Teresa Bernarda Ludermir: Um Tutorial sobre Algoritmos Genéticos. RITA 9(3): 7-39 (2002) | |
| 2001 | ||
| 13 | Estefane G. M. de Lacerda, André Carlos Ponce Leon Ferreira de Carvalho, Teresa Bernarda Ludermir: Evolutionary Optimization of RBF Networks. Int. J. Neural Syst. 11(3): 287-294 (2001) | |
| 12 | Ricardo Bezerra de Andrade e Silva, Teresa Bernarda Ludermir: Hybrid systems of local basis functions. Intell. Data Anal. 5(3): 227-244 (2001) | |
| 2000 | ||
| 11 | Ricardo Bezerra de Andrade e Silva, Teresa Bernarda Ludermir: Obtaining Simplified Rule Bases by Hybrid Learning. ICML 2000: 879-886 | |
| 10 | Marcílio Carlos Pereira de Souto, Teresa Bernarda Ludermir, Marcília A. Campos: Encoding of Probabilistic Automata into RAM-Based Neural Networks. IJCNN (3) 2000: 439-444 | |
| 9 | Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir: Monthly Streamflow Forecasting Using an Neural Fuzzy Network Model. SBRN 2000: 117-119 | |
| 8 | Estefane G. M. de Lacerda, Teresa Bernarda Ludermir, André Carlos Ponce Leon Ferreira de Carvalho: Evolutionary Optimization of RBF Networks. SBRN 2000: 219-224 | |
| 1999 | ||
| 7 | Antônio de Pádua Braga, Teresa Bernarda Ludermir: Editorial: "Artificial Neural Networks in Brazil: An Introduction to the Special Issue of IJNS". Int. J. Neural Syst. 9(3): 163-165 (1999) | |
| 6 | Marcílio Carlos Pereira de Souto, Paulo J. L. Adeodato, Teresa Bernarda Ludermir: Sequential RAM-based Neural Networks: Learnability, Generalisation, Knowledge Extraction, and Grammatical Inference. Int. J. Neural Syst. 9(3): 203-210 (1999) | |
| 5 | C. Nobre, E. Martineli, Antônio de Pádua Braga, André Carlos Ponce de Leon Ferreira de Carvalho, S. Rezende, José L. Braga, Teresa Bernarda Ludermir: Knowledge Extraction: A Comparison between Symbolic and Connectionist Methods. Int. J. Neural Syst. 9(3): 257-264 (1999) | |
| 1998 | ||
| 4 | Antônio de Pádua Braga, Teresa Bernarda Ludermir: 5th Brazilian Symposium on Neural Networks (SBRN '98), 9-11 December 1998, Belo Horizonte, Brazil IEEE Computer Society 1998 | |
| 3 | Teresa Bernarda Ludermir, Wilson Rosa de Oliveira: Extracting Rules from Boolean Neural Networks. ICONIP 1998: 1666-1669 | |
| 2 | Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir: Self-Organizing Modeling in Forecasting Daily River Flows. SBRN 1998: 210-214 | |
| 1 | Teresa Bernarda Ludermir: Extracting Rules from Feedforward Boolean Neural Networks. SBRN 1998: 61-66 | |
Colors in the list of coauthors
Last update Mon Jun 4 20:40:43 2012 CET by the DBLP Team —
Data released under the ODC-BY 1.0 license — See also our legal information page