2008 | ||
---|---|---|
96 | EE | Leandro M. Almeida, Teresa Bernarda Ludermir: An Evolutionary Approach for Tuning Artificial Neural Network Parameters. HAIS 2008: 156-163 |
95 | EE | 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 |
94 | EE | 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 |
93 | EE | 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 |
92 | EE | 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 |
91 | EE | 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 |
90 | EE | Leandro M. Almeida, Teresa Bernarda Ludermir: An improved method for automatically searching near-optimal artificial Neural Networks. IJCNN 2008: 2235-2242 |
89 | EE | 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 |
88 | EE | Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Active Meta-Learning with Uncertainty Sampling and Outlier Detection. IJCNN 2008: 346-351 |
87 | EE | 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 |
86 | 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 |
85 | EE | 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 |
84 | EE | Patrícia M. Santos, Teresa Bernarda Ludermir, Ricardo Bastos Cavalcante Prudêncio: Selecting Neural Network Forecasting Models Using the Zoomed-Ranking Approach. SBRN 2008: 165-170 |
83 | EE | 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 |
82 | EE | Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto, Wilson Rosa de Oliveira: Weightless Neural Networks: Knowledge-Based Inference System. SBRN 2008: 207-212 |
81 | EE | 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) |
80 | EE | 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) |
79 | EE | 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 | ||
78 | EE | Leandro M. Almeida, Teresa Bernarda Ludermir: Automatically searching near-optimal artificial neural networks. ESANN 2007: 549-554 |
77 | EE | Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Active Selection of Training Examples for Meta-Learning. HIS 2007: 126-131 |
76 | EE | Marcio Carvalho, Teresa Bernarda Ludermir: Particle Swarm Optimization of Neural Network Architectures andWeights. HIS 2007: 336-339 |
75 | EE | 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 |
74 | EE | Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir: Active Learning to Support the Generation of Meta-examples. ICANN (1) 2007: 817-826 |
73 | 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 |
72 | EE | Cleber Zanchettin, Teresa Bernarda Ludermir: Comparison of the Effectiveness of Different Cost Functions in Global Optimization Techniques. IJCNN 2007: 2701-2706 |
71 | 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 | ||
70 | EE | Leandro M. Almeida, Teresa Bernarda Ludermir: A Hybrid Method for Searching Near-Optimal Artificial Neural Networks. HIS 2006: 36 |
69 | EE | Marcio Carvalho, Teresa Bernarda Ludermir: Particle Swarm Optimization of Feed-Forward Neural Networks with Weight Decay. HIS 2006: 5 |
68 | 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 |
67 | EE | Marcio Carvalho, Teresa Bernarda Ludermir: Hybrid Training of Feed-Forward Neural Networks with Particle Swarm Optimization. ICONIP (2) 2006: 1061-1070 |
66 | EE | Gecynalda Soares S. Gomes, Teresa Bernarda Ludermir: Feature Selection for Neural Networks Through Binomial Regression. ICONIP (2) 2006: 737-745 |
65 | EE | 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 |
64 | 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 |
63 | EE | 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 |
62 | EE | Cleber Zanchettin, Teresa Bernarda Ludermir: A methodology to train and improve artificial neural networks' weights and connections. IJCNN 2006: 5267-5274 |
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 |