 | 2009 |
|---|
| 108 |       | 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 |
| 107 | | Ricardo Bastos Cavalcante Prudêncio,
Teresa Bernarda Ludermir:
Active Generation of Training Examples in Meta-Regression.
ICANN (1) 2009: 30-39 |
| 106 | | 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 |
| 105 | | Ivna Valença,
Teresa Bernarda Ludermir:
Hybrid Systems for River Flood Forecasting Using MLP, SOM and Fuzzy Systems.
ICANN (1) 2009: 557-566 |
| 104 |  | Cleber Zanchettin,
Teresa Bernarda Ludermir:
Hybrid Optimization Technique for Artificial Neural Networks Design.
ICEIS (2) 2009: 242-247 |
| 2008 |
|---|
| 103 | | Leandro M. Almeida,
Teresa Bernarda Ludermir:
An Evolutionary Approach for Tuning Artificial Neural Network Parameters.
HAIS 2008: 156-163 |
| 102 | | 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 |
| 101 | | 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 |
| 100 | | 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 |
| 99 | | 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 |
| 98 | | 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 |
| 97 | | Leandro M. Almeida,
Teresa Bernarda Ludermir:
An improved method for automatically searching near-optimal artificial Neural Networks.
IJCNN 2008: 2235-2242 |
| 96 | | 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 |
| 95 | | Ricardo Bastos Cavalcante Prudêncio,
Teresa Bernarda Ludermir:
Active Meta-Learning with Uncertainty Sampling and Outlier Detection.
IJCNN 2008: 346-351 |
| 94 | | 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 |
| 93 | | Renato Fernandes Corrêa,
Teresa Bernarda Ludermir:
Semantic mapping and K-means applied to hybrid SOM-based document organization system construction.
SAC 2008: 1112-1116 |
| 92 | | Wilson Rosa de Oliveira,
Adenilton J. Silva,
Teresa Bernarda Ludermir,
Amanda Leonel,
Wilson R. Galindo,
Jefferson C. C. Pereira:
Quantum Logical Neural Networks.
SBRN 2008: 147-152 |
| 91 | | Patrícia M. Santos,
Teresa Bernarda Ludermir,
Ricardo Bastos Cavalcante Prudêncio:
Selecting Neural Network Forecasting Models Using the Zoomed-Ranking Approach.
SBRN 2008: 165-170 |
| 90 | | 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 |
| 89 | | Teresa Bernarda Ludermir,
Marcílio Carlos Pereira de Souto,
Wilson Rosa de Oliveira:
Weightless Neural Networks: Knowledge-Based Inference System.
SBRN 2008: 207-212 |
| 88 | | 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) |
| 87 | | 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) |
| 86 | | 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) |
| 85 | | 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 |
|---|
| 84 | | Leandro M. Almeida,
Teresa Bernarda Ludermir:
Automatically searching near-optimal artificial neural networks.
ESANN 2007: 549-554 |
| 83 | | Ricardo Bastos Cavalcante Prudêncio,
Teresa Bernarda Ludermir:
Active Selection of Training Examples for Meta-Learning.
HIS 2007: 126-131 |
| 82 | | Marcio Carvalho,
Teresa Bernarda Ludermir:
Particle Swarm Optimization of Neural Network Architectures andWeights.
HIS 2007: 336-339 |
| 81 | | 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 |
| 80 | | Ricardo Bastos Cavalcante Prudêncio,
Teresa Bernarda Ludermir:
Active Learning to Support the Generation of Meta-examples.
ICANN (1) 2007: 817-826 |
| 79 | | 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 |
| 78 | | Cleber Zanchettin,
Teresa Bernarda Ludermir:
Comparison of the Effectiveness of Different Cost Functions in Global Optimization Techniques.
IJCNN 2007: 2701-2706 |
| 77 | | 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 |
|---|
| 76 | | Leandro M. Almeida,
Teresa Bernarda Ludermir:
A Hybrid Method for Searching Near-Optimal Artificial Neural Networks.
HIS 2006: 36 |
| 75 | | Marcio Carvalho,
Teresa Bernarda Ludermir:
Particle Swarm Optimization of Feed-Forward Neural Networks with Weight Decay.
HIS 2006: 5 |
| 74 | | Ricardo Bastos Cavalcante Prudêncio,
Teresa Bernarda Ludermir:
A Machine Learning Approach to Define Weights for Linear Combination of Forecasts.
ICANN (1) 2006: 274-283 |
| 73 | | Marcio Carvalho,
Teresa Bernarda Ludermir:
Hybrid Training of Feed-Forward Neural Networks with Particle Swarm Optimization.
ICONIP (2) 2006: 1061-1070 |
| 72 | | Gecynalda Soares S. Gomes,
Teresa Bernarda Ludermir:
Feature Selection for Neural Networks Through Binomial Regression.
ICONIP (2) 2006: 737-745 |
| 71 | | 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 |
| 70 | | 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 |
| 69 | | 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 |
| 68 | | Cleber Zanchettin,
Teresa Bernarda Ludermir:
A methodology to train and improve artificial neural networks' weights and connections.
IJCNN 2006: 5267-5274 |
| 67 | | Ricardo Bastos Cavalcante Prudêncio,
Teresa Bernarda Ludermir:
LearningWeights for Linear Combination of Forecasting Methods.
SBRN 2006: 113-118 |
| 66 | | 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 |
| 65 | | Fernanda L. Minku,
Teresa Bernarda Ludermir:
EFuNN Ensembles Construction Using CONE with Multi-objective GA.
SBRN 2006: 48-53 |
| 64 | | Marcio Carvalho,
Teresa Bernarda Ludermir:
An Analysis Of PSO Hybrid Algorithms For Feed-Forward Neural Networks Training.
SBRN 2006: 6-11 |
| 63 | | Renato Fernandes Corrêa,
Teresa Bernarda Ludermir:
A Hybrid SOM-Based Document Organization System.
SBRN 2006: 90-95 |
| 62 | | Cleber Zanchettin,
Teresa Bernarda Ludermir:
The Influence of Different Cost Functions in Global Optimization Techniques.
SBRN 2006: 96-101 |
| 61 | | 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) |
| 60 | | Renato Fernandes Corrêa,
Teresa Bernarda Ludermir:
Improving self-organization of document collections by semantic mapping.
Neurocomputing 70(1-3): 62-69 (2006) |
| 2005 |
|---|
| 59 | | Mêuser Jorge Silva Valença,
Teresa Bernarda Ludermir,
Anelle Valença:
River Flow Forecasting with Constructive Neural Network.
Australian Conference on Artificial Intelligence 2005: 1031-1036 |
| 58 | | 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 |
| 57 | | Paulemir G. Campos,
Teresa Bernarda Ludermir:
Literal and ProRulext: Algorithms for Rule Extraction of ANNs.
HIS 2005: 143-148 |
| 56 | | 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 |
| 55 | | Cleber Zanchettin,
Ferdinand L. Minku,
Teresa Bernarda Ludermir:
Design of Experiments in Neuro-Fuzzy Systems.
HIS 2005: 218-226 |
| 54 | | Mêuser Jorge Silva Valença,
Teresa Bernarda Ludermir,
Anelle Valença:
River Flow Forecasting for Reservoir management through Neural Networks.
HIS 2005: 545-547 |
| 53 | | Mêuser Jorge Silva Valença,
Teresa Bernarda Ludermir,
Anelle Valença:
Modeling of the rainfall-runoff relationship with artificial neural network.
HIS 2005: 548-550 |
| 52 | | 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 |
| 51 | | 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 |
| 50 | | Cleber Zanchettin,
Teresa Bernarda Ludermir:
Hybrid Technique for Artificial Neural Network Architecture and Weight Optimization.
PKDD 2005: 709-716 |
| 49 | | 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 |
| 48 | | 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) |
| 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 Hoizonte, 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 |
