| 2008 |
|---|
| 76 | EE | Renato Fernandes Corrêa,
Teresa Bernarda Ludermir:
Semantic mapping and K-means applied to hybrid SOM-based document organization system construction.
SAC 2008: 1112-1116 |
| 2007 |
|---|
| 75 | EE | Ricardo Bastos Cavalcante Prudêncio,
Teresa Bernarda Ludermir:
Active Selection of Training Examples for Meta-Learning.
HIS 2007: 126-131 |
| 74 | EE | Marcio Carvalho,
Teresa Bernarda Ludermir:
Particle Swarm Optimization of Neural Network Architectures andWeights.
HIS 2007: 336-339 |
| 73 | EE | Eleonora Ma. Jesus Oliveira,
Paulemir G. Campos,
Teresa Bernarda Ludermir,
F. A. T. de Carvalho,
Wilson Rosa de Oliveira:
Application of a Hybrid Classifier to the Recognition of Petrochemical Odors.
HIS 2007: 78-83 |
| 72 | EE | Ricardo Bastos Cavalcante Prudêncio,
Teresa Bernarda Ludermir:
Active Learning to Support the Generation of Meta-examples.
ICANN (1) 2007: 817-826 |
| 71 | EE | 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 |
| 70 | EE | Cleber Zanchettin,
Teresa Bernarda Ludermir:
Comparison of the Effectiveness of Different Cost Functions in Global Optimization Techniques.
IJCNN 2007: 2701-2706 |
| 69 | EE | 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 |
|---|
| 68 | EE | Leandro M. Almeida,
Teresa Bernarda Ludermir:
A Hybrid Method for Searching Near-Optimal Artificial Neural Networks.
HIS 2006: 36 |
| 67 | EE | Marcio Carvalho,
Teresa Bernarda Ludermir:
Particle Swarm Optimization of Feed-Forward Neural Networks with Weight Decay.
HIS 2006: 5 |
| 66 | EE | Ricardo Bastos Cavalcante Prudêncio,
Teresa Bernarda Ludermir:
A Machine Learning Approach to Define Weights for Linear Combination of Forecasts.
ICANN (1) 2006: 274-283 |
| 65 | EE | Marcio Carvalho,
Teresa Bernarda Ludermir:
Hybrid Training of Feed-Forward Neural Networks with Particle Swarm Optimization.
ICONIP (2) 2006: 1061-1070 |
| 64 | EE | Gecynalda Soares S. Gomes,
Teresa Bernarda Ludermir:
Feature Selection for Neural Networks Through Binomial Regression.
ICONIP (2) 2006: 737-745 |
| 63 | EE | André Luis S. Maia,
Francisco de A. T. de Carvalho,
Teresa Bernarda Ludermir:
A Hybrid Model for Symbolic Interval Time Series Forecasting.
ICONIP (2) 2006: 934-941 |
| 62 | EE | 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 |
| 61 | EE | 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 | EE | Renato Fernandes Corrêa,
Teresa Bernarda Ludermir:
Improving self-organization of document collections by semantic mapping.
Neurocomputing 70(1-3): 62-69 (2006) |
| 2005 |
|---|
| 59 | EE | 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 | EE | 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 | EE | Paulemir G. Campos,
Teresa Bernarda Ludermir:
Literal and ProRulext: Algorithms for Rule Extraction of ANNs.
HIS 2005: 143-148 |
| 56 | EE | 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 | EE | Cleber Zanchettin,
Ferdinand L. Minku,
Teresa Bernarda Ludermir:
Design of Experiments in Neuro-Fuzzy Systems.
HIS 2005: 218-226 |
| 54 | EE | Mêuser Jorge Silva Valença,
Teresa Bernarda Ludermir,
Anelle Valença:
River Flow Forecasting for Reservoir management through Neural Networks.
HIS 2005: 545-547 |
| 53 | EE | Mêuser Jorge Silva Valença,
Teresa Bernarda Ludermir,
Anelle Valença:
Modeling of the rainfall-runoff relationship with artificial neural network.
HIS 2005: 548-550 |
| 52 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | Ricardo Bastos Cavalcante Prudêncio,
Teresa Bernarda Ludermir:
Using Machine Learning Techniques to Combine Forecasting Methods.
Australian Conference on Artificial Intelligence 2004: 1122-1127 |
| 45 | EE | 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 | EE | 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 | EE | Renato Fernandes Corrêa,
Teresa Bernarda Ludermir:
Dimensionality Reduction by Semantic Mapping in Text Categorization.
ICONIP 2004: 1032-1037 |
| 42 | EE | Mêuser Jorge Silva Valença,
Teresa Bernarda Ludermir:
Hydrological Forecasting and Updating Procedures for Neural Network.
ICONIP 2004: 1304-1309 |
| 41 | EE | Amanda Pimentel e Silva Lins,
Teresa Bernarda Ludermir:
A Neighbor Generation Mechanism Optimizing Neural Networks.
ICONIP 2004: 613-618 |
| 40 | EE | Renato Fernandes Corrêa,
Teresa Bernarda Ludermir:
Web Documents Categorization Using Neural Networks.
ICONIP 2004: 758-762 |
| 39 | EE | Cleber Zanchettin,
Teresa Bernarda Ludermir:
Evolving Fuzzy Neural Networks Applied to Odor Recognition.
ICONIP 2004: 953-958 |
| 38 | EE | Ricardo Bastos Cavalcante Prudêncio,
Teresa Bernarda Ludermir:
Meta-learning approaches to selecting time series models.
Neurocomputing 61: 121-137 (2004) |
| 37 | EE | 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 | EE | Ricardo Bastos Cavalcante Prudêncio,
Teresa Bernarda Ludermir:
Selecting and Ranking Time Series Models Using the NOEMON Approach.
ICANN 2003: 654-661 |
| 33 | EE | 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 | EE | Teresa Bernarda Ludermir,
Marcílio Carlos Pereira de Souto:
Introduction by Guest Editors.
Int. J. Neural Syst. 13(2): 55-57 (2003) |
| 31 | EE | 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 | EE | 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 | EE | 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 | EE | Eleonora Ma. Jesus Oliveira,
Teresa Bernarda Ludermir:
Forecasting the IBOVESPA Using NARX Networks and Random Walk Model .
SBRN 2002: 115-117 |
| 25 | EE | 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 | EE | Akio Yamazaki,
Teresa Bernarda Ludermir,
Marcílio Carlos Pereira de Souto:
Global Optimization Methods for Designing and Training Neural Networks.
SBRN 2002: 136-141 |
| 23 | EE | Renato Fernandes Corrêa,
Teresa Bernarda Ludermir:
Automatic Text Categorization: Case Study.
SBRN 2002: 150 |
| 22 | EE | 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 | EE | José Carlos Martins Oliveira,
Marcílio Carlos Pereira de Souto,
Teresa Bernarda Ludermir:
Implementation of Probabilistic Automata in Weightless Neural Networks.
SBRN 2002: 235 |
| 20 | EE | Jairo Diniz Filho,
Teresa Bernarda Ludermir:
Modulatory Interaction as a Support to Modeling Neural Substrates of the Decision Process.
SBRN 2002: 242 |
| 19 | EE | Wilson Rosa de Oliveira,
Marcílio Carlos Pereira de Souto,
Teresa Bernarda Ludermir:
Turing Machines with Finite Memory.
SBRN 2002: 67-73 |
| 18 | EE | Mêuser Jorge Silva Valença,
Teresa Bernarda Ludermir:
NeuroInflow: The New Model to Forecast Average Monthly Inflow.
SBRN 2002: 74-79 |
| 17 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | Mêuser Jorge Silva Valença,
Teresa Bernarda Ludermir:
Monthly Streamflow Forecasting Using an Neural Fuzzy Network Model.
SBRN 2000: 117-119 |
| 8 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | Mêuser Jorge Silva Valença,
Teresa Bernarda Ludermir:
Self-Organizing Modeling in Forecasting Daily River Flows.
SBRN 1998: 210-214 |
| 1 | EE | Teresa Bernarda Ludermir:
Extracting Rules from Feedforward Boolean Neural Networks.
SBRN 1998: 61-66 |
