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Teresa Bernarda Ludermir
2010 – today
- 2013
[j36]Aida A. Ferreira, Teresa Bernarda Ludermir, Ronaldo R. B. de Aquino: An approach to reservoir computing design and training. Expert Syst. Appl. 40(10): 4172-4182 (2013)- [j35]Teresa Bernarda Ludermir, Wilson Rosa de Oliveira: Particle Swarm Optimization of MLP for the identification of factors related to Common Mental Disorders. Expert Syst. Appl. 40(11): 4648-4652 (2013)
- 2012
- [j34]Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto, Marley B. R. Vellasco: Automatic parameters selection in machine learning. Neurocomputing 75(1): 1-2 (2012)
- [j33]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)
- [j32]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Combining Uncertainty Sampling methods for supporting the generation of meta-examples. Inf. Sci. 196: 1-14 (2012)
- [c116]Tiago P. F. de Lima, Adenilton J. da Silva, Teresa Bernarda Ludermir: Selection and Fusion of Neural Networks via Differential Evolution. IBERAMIA 2012: 149-158
- [c115]João Fausto Lorenzato de Oliveira, Teresa Bernarda Ludermir: A Modified Artificial Fish Swarm Algorithm for the Optimization of Extreme Learning Machines. ICANN (2) 2012: 66-73
- [c114]Anderson Tenório Sergio, Teresa Bernarda Ludermir: PSO for Reservoir Computing Optimization. ICANN (1) 2012: 685-692
- [c113]Aida A. Ferreira, Teresa Bernarda Ludermir, Ronaldo R. B. de Aquino: Comparing recurrent networks for time-series forecasting. IJCNN 2012: 1-8
- [c112]Elliackin M. N. Figueiredo, Rafael G. Mesquita, Teresa Bernarda Ludermir, George D. C. Cavalcanti: Application of the IPSONet in face detection. IJCNN 2012: 1-7
- [c111]Tiago P. F. de Lima, Adenilton J. da Silva, Teresa Bernarda Ludermir: Clustering and selection of neural networks using adaptive differential evolution. IJCNN 2012: 1-7
- [c110]Cleber Zanchettin, Leandro M. Almeida, Frederico D. Menezes, Teresa Bernarda Ludermir, Walter M. Azevedo: Odor recognition systems for natural gas odorization monitoring. IJCNN 2012: 1-8
- [c109]Adenilton J. da Silva, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira: On the Universality of Quantum Logical Neural Networks. SBRN 2012: 102-106
- [c108]Elliackin M. N. Figueiredo, Teresa Bernarda Ludermir: Effect of the PSO Topologies on the Performance of the PSO-ELM. SBRN 2012: 178-183
- [c107]Nicole L. Mineu, Adenilton J. da Silva, Teresa Bernarda Ludermir: Evolving Neural Networks Using Differential Evolution with Neighborhood-Based Mutation and Simple Subpopulation Scheme. SBRN 2012: 190-195
- [c106]Luciano D. S. Pacifico, Teresa Bernarda Ludermir: Improved group search optimization based on opposite populations for feedforward networks training with weight decay. SMC 2012: 474-479
- 2011
- [j31]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)
- [j30]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)
- [j29]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)
- [j28]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)
- [c105]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
- [c104]Natalia Flora de Lima, Teresa Bernarda Ludermir: Frankenstein PSO applied to neural network weights and architectures. IEEE Congress on Evolutionary Computation 2011: 2452-2456
- [c103]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
- [c102]Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, Teresa Bernarda Ludermir: Uncertainty Sampling-Based Active Selection of Datasetoids for Meta-learning. ICANN (2) 2011: 454-461
- [c101]João Fausto Lorenzato de Oliveira, Teresa Bernarda Ludermir: Homogeneous Ensemble Selection through Hierarchical Clustering with a Modified Artificial Fish Swarm Algorithm. ICTAI 2011: 177-180
- [c100]Aida A. Ferreira, Teresa Bernarda Ludermir: Comparing evolutionary methods for reservoir computing pre-training. IJCNN 2011: 283-290
- [c99]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
- [c98]Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, Teresa Bernarda Ludermir: Uncertainty sampling methods for selecting datasets in active meta-learning. IJCNN 2011: 1082-1089
- [c97]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
- [p1]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
- 2010
- [j27]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)
- [j26]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)
- [c96]Adenilton J. da Silva, Nicole L. Mineu, Teresa Bernarda Ludermir: Evolving Artificial Neural Networks Using Adaptive Differential Evolution. IBERAMIA 2010: 396-405
- [c95]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
- [c94]Nicole L. Mineu, Teresa Bernarda Ludermir, Leandro M. Almeida: Topology optimization for artificial neural networks using differential evolution. IJCNN 2010: 1-7
- [c93]Adenilton J. da Silva, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira: Superposition Based Learning Algorithm. SBRN 2010: 1-6
- [c92]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
- [c91]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
- [e3]Teresa Bernarda Ludermir, Karla Figueiredo, Carlos E. Thomaz (Eds.): 11th Brazilian Symposium on Neural Networks (SBRN 2010), Sao Paulo, 23-28 October, 2010. IEEE 2010, ISBN 978-1-4244-8391-4
2000 – 2009
- 2009
- [j25]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)
- [c90]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Active Generation of Training Examples in Meta-Regression. ICANN (1) 2009: 30-39
- [c89]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
- [c88]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
- [c87]Ivna Valença, Teresa Bernarda Ludermir: Hybrid Systems for River Flood Forecasting Using MLP, SOM and Fuzzy Systems. ICANN (1) 2009: 557-566
- [c86]Cleber Zanchettin, Teresa Bernarda Ludermir: Hybrid Optimization Technique for Artificial Neural Networks Design. ICEIS (2) 2009: 242-247
- [c85]Aida A. Ferreira, Teresa Bernarda Ludermir: Genetic algorithm for reservoir computing optimization. IJCNN 2009: 811-815
- [c84]Gecynalda S. da S. Gomes, Teresa Bernarda Ludermir, Leandro M. Almeida: Neural networks with asymmetric activation function for function approximation. IJCNN 2009: 980-987
- [c83]Antonio Miguel F. Zarth, Teresa Bernarda Ludermir: Optimization of Neural Networks Weights and Architecture: A Multimodal Methodology. ISDA 2009: 209-214
- [c82]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Combining Uncertainty Sampling Methods for Active Meta-Learning. ISDA 2009: 220-225
- 2008
- [j24]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)
- [j23]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)
- [j22]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)
- [j21]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)
- [c81]Leandro M. Almeida, Teresa Bernarda Ludermir: An Evolutionary Approach for Tuning Artificial Neural Network Parameters. HAIS 2008: 156-163
- [c80]Renato Fernandes Corrêa, Teresa Bernarda Ludermir: Improved Semantic Mapping and SOM Applied to Document Organization. HIS 2008: 284-289
- [c79]Aida A. Ferreira, Teresa Bernarda Ludermir: Using Reservoir Computing for Forecasting Time Series: Brazilian Case Study. HIS 2008: 602-607
- [c78]Leandro M. Almeida, Teresa Bernarda Ludermir: Tuning Artificial Neural Networks Parameters Using an Evolutionary Algorithm. HIS 2008: 927-930
- [c77]Gecynalda S. da S. Gomes, Teresa Bernarda Ludermir: Complementary Log-Log and Probit: Activation Functions Implemented in Artificial Neural Networks. HIS 2008: 939-942
- [c76]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
- [c75]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Active Meta-Learning with Uncertainty Sampling and Outlier Detection. IJCNN 2008: 346-351
- [c74]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
- [c73]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
- [c72]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
- [c71]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
- [c70]Leandro M. Almeida, Teresa Bernarda Ludermir: An improved method for automatically searching near-optimal artificial Neural Networks. IJCNN 2008: 2235-2242
- [c69]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
- [c68]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
- [c67]Renato Fernandes Corrêa, Teresa Bernarda Ludermir: Semantic mapping and K-means applied to hybrid SOM-based document organization system construction. SAC 2008: 1112-1116
- [c66]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
- [c65]Patrícia M. Santos, Teresa Bernarda Ludermir, Ricardo Bastos Cavalcante Prudêncio: Selecting Neural Network Forecasting Models Using the Zoomed-Ranking Approach. SBRN 2008: 165-170
- [c64]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
- [c63]Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto, Wilson Rosa de Oliveira: Weightless Neural Networks: Knowledge-Based Inference System. SBRN 2008: 207-212
- 2007
- [j20]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)
- [c62]Leandro M. Almeida, Teresa Bernarda Ludermir: Automatically searching near-optimal artificial neural networks. ESANN 2007: 549-554
- [c61]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
- [c60]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Active Selection of Training Examples for Meta-Learning. HIS 2007: 126-131
- [c59]Marcio Carvalho, Teresa Bernarda Ludermir: Particle Swarm Optimization of Neural Network Architectures andWeights. HIS 2007: 336-339
- [c58]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Active Learning to Support the Generation of Meta-examples. ICANN (1) 2007: 817-826
- [c57]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
- [c56]Cleber Zanchettin, Teresa Bernarda Ludermir: Comparison of the Effectiveness of Different Cost Functions in Global Optimization Techniques. IJCNN 2007: 2701-2706
- 2006
- [j19]Renato Fernandes Corrêa, Teresa Bernarda Ludermir: Improving self-organization of document collections by semantic mapping. Neurocomputing 70(1-3): 62-69 (2006)
- [j18]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)
- [c55]Marcio Carvalho, Teresa Bernarda Ludermir: Particle Swarm Optimization of Feed-Forward Neural Networks with Weight Decay. HIS 2006: 5
- [c54]Leandro M. Almeida, Teresa Bernarda Ludermir: A Hybrid Method for Searching Near-Optimal Artificial Neural Networks. HIS 2006: 36
- [c53]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: A Machine Learning Approach to Define Weights for Linear Combination of Forecasts. ICANN (1) 2006: 274-283
- [c52]Gecynalda Soares S. Gomes, Teresa Bernarda Ludermir: Feature Selection for Neural Networks Through Binomial Regression. ICONIP (2) 2006: 737-745
- [c51]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
- [c50]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
- [c49]Marcio Carvalho, Teresa Bernarda Ludermir: Hybrid Training of Feed-Forward Neural Networks with Particle Swarm Optimization. ICONIP (2) 2006: 1061-1070
- [c48]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
- [c47]Cleber Zanchettin, Teresa Bernarda Ludermir: A methodology to train and improve artificial neural networks' weights and connections. IJCNN 2006: 5267-5274
- [c46]Marcio Carvalho, Teresa Bernarda Ludermir: An Analysis Of PSO Hybrid Algorithms For Feed-Forward Neural Networks Training. SBRN 2006: 6-11
- [c45]Fernanda L. Minku, Teresa Bernarda Ludermir: EFuNN Ensembles Construction Using CONE with Multi-objective GA. SBRN 2006: 48-53
- [c44]Renato Fernandes Corrêa, Teresa Bernarda Ludermir: A Hybrid SOM-Based Document Organization System. SBRN 2006: 90-95
- [c43]Cleber Zanchettin, Teresa Bernarda Ludermir: The Influence of Different Cost Functions in Global Optimization Techniques. SBRN 2006: 96-101
- [c42]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: LearningWeights for Linear Combination of Forecasting Methods. SBRN 2006: 113-118
- [c41]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
- 2005
- [j17]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)
- [j16]Cleber Zanchettin, Teresa Bernarda Ludermir: Hybrid neural systems for pattern recognition in artificial noses. Int. J. Neural Syst. 15(1-2): 137-149 (2005)
- [j15]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)
- [c40]Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir, Anelle Valença: River Flow Forecasting with Constructive Neural Network. Australian Conference on Artificial Intelligence 2005: 1031-1036
- [c39]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
- [c38]Paulemir G. Campos, Teresa Bernarda Ludermir: Literal and ProRulext: Algorithms for Rule Extraction of ANNs. HIS 2005: 143-148
- [c37]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
- [c36]Cleber Zanchettin, Ferdinand L. Minku, Teresa Bernarda Ludermir: Design of Experiments in Neuro-Fuzzy Systems. HIS 2005: 218-226
- [c35]Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir, Anelle Valença: River Flow Forecasting for Reservoir management through Neural Networks. HIS 2005: 545-547
- [c34]Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir, Anelle Valença: Modeling of the rainfall-runoff relationship with artificial neural network. HIS 2005: 548-550
- [c33]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
- [c32]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
- [c31]Cleber Zanchettin, Teresa Bernarda Ludermir: Hybrid Technique for Artificial Neural Network Architecture and Weight Optimization. PKDD 2005: 709-716
- [r1]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
- 2004
- [j14]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Meta-learning approaches to selecting time series models. Neurocomputing 61: 121-137 (2004)
- [j13]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)
- [c30]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Using Machine Learning Techniques to Combine Forecasting Methods. Australian Conference on Artificial Intelligence 2004: 1122-1127
- [c29]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
- [c28]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
- [c27]Amanda Pimentel e Silva Lins, Teresa Bernarda Ludermir: A Neighbor Generation Mechanism Optimizing Neural Networks. ICONIP 2004: 613-618
- [c26]Renato Fernandes Corrêa, Teresa Bernarda Ludermir: Web Documents Categorization Using Neural Networks. ICONIP 2004: 758-762
- [c25]Cleber Zanchettin, Teresa Bernarda Ludermir: Evolving Fuzzy Neural Networks Applied to Odor Recognition. ICONIP 2004: 953-958
- [c24]Renato Fernandes Corrêa, Teresa Bernarda Ludermir: Dimensionality Reduction by Semantic Mapping in Text Categorization. ICONIP 2004: 1032-1037
- [c23]Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir: Hydrological Forecasting and Updating Procedures for Neural Network. ICONIP 2004: 1304-1309
- 2003
- [j12]Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto: Introduction by Guest Editors. Int. J. Neural Syst. 13(2): 55-57 (2003)
- [j11]Akio Yamazaki, Teresa Bernarda Ludermir: Neural Network Training with Global Optimization Techniques. Int. J. Neural Syst. 13(2): 77-86 (2003)
- [j10]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)
- [c22]Cleber Zanchettin, Teresa Bernarda Ludermir: Wavelet Filter for Noise Reduction and Signal Compression in an Artificial Nose. HIS 2003: 907-916
- [c21]Cleber Zanchettin, Teresa Bernarda Ludermir: A Neuro-Fuzzy Model Applied to Odor Recognition in an Artificial Nose. HIS 2003: 917-926
- [c20]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Selecting and Ranking Time Series Models Using the NOEMON Approach. ICANN 2003: 654-661
- 2002
- [j9]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)
- [j8]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)
- [j7]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)
- [j6]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)
- [c19]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Selection of Models for Time Series Prediction via Meta-Learning. HIS 2002: 74-83
- [c18]Wilson Rosa de Oliveira, Marcílio Carlos Pereira de Souto, Teresa Bernarda Ludermir: Turing Machines with Finite Memory. SBRN 2002: 67-73
- [c17]Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir: NeuroInflow: The New Model to Forecast Average Monthly Inflow. SBRN 2002: 74-79
- [c16]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
- [c15]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
- [c14]Eleonora Ma. Jesus Oliveira, Teresa Bernarda Ludermir: Forecasting the IBOVESPA Using NARX Networks and Random Walk Model . SBRN 2002: 115-117
- [c13]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
- [c12]Akio Yamazaki, Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto: Global Optimization Methods for Designing and Training Neural Networks. SBRN 2002: 136-141
- [c11]Renato Fernandes Corrêa, Teresa Bernarda Ludermir: Automatic Text Categorization: Case Study. SBRN 2002: 150
- [c10]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
- [c9]José Carlos Martins Oliveira, Marcílio Carlos Pereira de Souto, Teresa Bernarda Ludermir: Implementation of Probabilistic Automata in Weightless Neural Networks. SBRN 2002: 235
- [c8]Jairo Diniz Filho, Teresa Bernarda Ludermir: Modulatory Interaction as a Support to Modeling Neural Substrates of the Decision Process. SBRN 2002: 242
- [e2]Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto (Eds.): 7th Brazilian Symposium on Neural Networks (SBRN 2002), 11-14 November 2002, Recife, Brazil. IEEE Computer Society 2002, ISBN 0-7695-1709-9
- 2001
- [j5]Ricardo Bezerra de Andrade e Silva, Teresa Bernarda Ludermir: Hybrid systems of local basis functions. Intell. Data Anal. 5(3): 227-244 (2001)
- [j4]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)
- 2000
- [c7]Ricardo Bezerra de Andrade e Silva, Teresa Bernarda Ludermir: Obtaining Simplified Rule Bases by Hybrid Learning. ICML 2000: 879-886
- [c6]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
- [c5]Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir: Monthly Streamflow Forecasting Using an Neural Fuzzy Network Model. SBRN 2000: 117-119
- [c4]Estefane G. M. de Lacerda, Teresa Bernarda Ludermir, André Carlos Ponce Leon Ferreira de Carvalho: Evolutionary Optimization of RBF Networks. SBRN 2000: 219-224
1990 – 1999
- 1999
- [j3]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)
- [j2]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)
- [j1]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
- [c3]Teresa Bernarda Ludermir, Wilson Rosa de Oliveira: Extracting Rules from Boolean Neural Networks. ICONIP 1998: 1666-1669
- [c2]Teresa Bernarda Ludermir: Extracting Rules from Feedforward Boolean Neural Networks. SBRN 1998: 61-66
- [c1]Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir: Self-Organizing Modeling in Forecasting Daily River Flows. SBRN 1998: 210-214
- [e1]Antônio de Pádua Braga, Teresa Bernarda Ludermir (Eds.): 5th Brazilian Symposium on Neural Networks (SBRN '98), 9-11 December 1998, Belo Horizonte, Brazil. IEEE Computer Society 1998, ISBN 0-8186-8629-4
Coauthor Index
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last updated on 2013-05-08 22:58 CEST by the dblp team