2008 |
41 | EE | Antônio de Pádua Braga,
Euler G. Horta,
René Natowicz,
Roman Rouzier,
Roberto Incitti,
Thiago S. Rodrigues,
Marcelo Azevedo Costa,
Carmen D. M. Pataro,
Arben Çela:
Bayesian Classifiers for Predicting the Outcome of Breast Cancer Preoperative Chemotherapy.
ANNPR 2008: 263-266 |
40 | EE | René Natowicz,
Antônio de Pádua Braga,
Roberto Incitti,
Euler G. Horta,
Roman Rouzier,
Thiago S. Rodrigues,
Marcelo Azevedo Costa:
A new method of DNA probes selection and its use with multi-objective neural network for predicting the outcome of breast cancer preoperative chemotherapy.
ESANN 2008: 71-76 |
39 | EE | René Natowicz,
Roberto Incitti,
Roman Rouzier,
Arben Çela,
Antônio de Pádua Braga,
Euler G. Horta,
Thiago S. Rodrigues,
Marcelo Azevedo Costa:
Downsizing Multigenic Predictors of the Response to Preoperative Chemotherapy in Breast Cancer.
KES (2) 2008: 157-164 |
38 | EE | Illya Kokshenev,
Antônio de Pádua Braga:
A Multi-objective Learning Algorithm for RBF Neural Network.
SBRN 2008: 9-14 |
37 | EE | Illya Kokshenev,
Antônio de Pádua Braga:
A multi-objective approach to RBF network learning.
Neurocomputing 71(7-9): 1203-1209 (2008) |
2007 |
36 | EE | Cristiane N. Nobre,
J. Miguel Ortega,
Antônio de Pádua Braga:
High Efficiency on Prediction of Translation Initiation Site (TIS) of RefSeq Sequences.
BSB 2007: 138-148 |
35 | EE | Bernardo Penna Resende de Carvalho,
Antônio de Pádua Braga:
A-LSSVM: an Adaline based iterative sparse LS-SVM classifier.
ESANN 2007: 331-336 |
34 | EE | Roselito de Albuquerque Teixeira,
Antônio de Pádua Braga,
Rodney R. Saldanha,
Ricardo H. C. Takahashi,
Talles Henrique de Medeiros:
The Usage of Golden Section in Calculating the Efficient Solution in Artificial Neural Networks Training by Multi-objective Optimization.
ICANN (1) 2007: 289-298 |
33 | EE | Bernardo Penna Resende de Carvalho,
Wilian Soares Lacerda,
Antônio de Pádua Braga:
RRS + LS-SVM: a new strategy for "a priori" sample selection.
Neural Computing and Applications 16(3): 227-234 (2007) |
32 | EE | Marcelo Azevedo Costa,
Antônio de Pádua Braga,
Benjamin Rodrigues de Menezes:
Improving generalization of MLPs with sliding mode control and the Levenberg-Marquardt algorithm.
Neurocomputing 70(7-9): 1342-1347 (2007) |
2006 |
31 | EE | Marcelo Azevedo Costa,
Antônio de Pádua Braga:
Optimization of Neural Networks with Multi-Objective LASSO Algorithm.
IJCNN 2006: 3312-3318 |
30 | EE | Antônio de Pádua Braga,
Ricardo H. C. Takahashi,
Marcelo Azevedo Costa,
Roselito de Albuquerque Teixeira:
Multi-Objective Algorithms for Neural Networks Learning.
Multi-Objective Machine Learning 2006: 151-171 |
29 | EE | Murilo Saraiva de Queiroz,
Roberto Coelho de Berrêdo,
Antônio de Pádua Braga:
Reinforcement learning of a simple control task using the spike response model.
Neurocomputing 70(1-3): 14-20 (2006) |
2005 |
28 | EE | Bernardo Penna Resende de Carvalho,
Wilian Soares Lacerda,
Antônio de Pádua Braga:
A Hybrid Approach for Sparse Least Squares Support Vector Machines.
HIS 2005: 323-328 |
27 | EE | Marcelo M. Silva,
Thiago T. Maia,
Antônio de Pádua Braga:
An evolutionary approach to Transduction in Support Vector Machines.
HIS 2005: 329-334 |
26 | EE | Wilian Soares Lacerda,
Antônio de Pádua Braga:
Design of digital classifier circuits with nearest neighbour prior sample selection.
HIS 2005: 531-533 |
25 | EE | Rogério M. Gomes,
Antônio de Pádua Braga,
Henrique E. Borges:
A Model for Hierarchical Associative Memories via Dynamically Coupled GBSB Neural Networks.
ICANN (1) 2005: 173-178 |
24 | EE | Leonardo Max Batista Claudino,
Antônio de Pádua Braga,
Arnaldo de Albuquerque Araújo,
André F. Oliveira:
Unsupervised Segmentation of Text Fragments in Real Scenes.
ICIAP 2005: 399-406 |
23 | | 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 |
22 | 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) |
2004 |
21 | EE | Marcus Tadeu Pinheiro Silva,
Antônio de Pádua Braga,
Wilian Soares Lacerda:
Reconfigurable co-processor for Kanerva's sparse distributed memory.
Microprocessors and Microsystems 28(3): 127-134 (2004) |
2003 |
20 | | Thiago S. Rodrigues,
Lucila Pacifico,
Santuza Teixeira,
Sergio Oliveira,
Antônio de Pádua Braga:
Amino Acid Coding with Sliding Window Technique.
WOB 2003: 165-168 |
19 | EE | Marcelo Azevedo Costa,
Antônio de Pádua Braga,
Benjamin Rodrigues de Menezes,
Roselito de Albuquerque Teixeira,
Gustavo Guimarães Parma:
Training neural networks with a multi-objective sliding mode control algorithm.
Neurocomputing 51: 467-473 (2003) |
2002 |
18 | EE | Eber M. Duarte,
Antônio de Pádua Braga,
José L. Braga:
Internet economic news gathering and classification: a neural network software agent based approach.
SBRN 2002: 112 |
17 | EE | Roselito de Albuquerque Teixeira,
Antônio de Pádua Braga,
Ricardo H. C. Takahashi,
Rodney R. Saldanha:
Decisior Implementation in Neural Model Selection by Multi-objective Optimization.
SBRN 2002: 234 |
16 | EE | Marcelo Azevedo Costa,
Antônio de Pádua Braga,
Benjamin Rodrigues de Menezes,
Gustavo Guimarães Parma,
Roselito de Albuquerque Teixeira:
Control of Generalization with a Bi-Objective Sliding Mode Control Algorithm.
SBRN 2002: 38-43 |
15 | EE | Marcelo Azevedo Costa,
Antônio de Pádua Braga,
Benjamin Rodrigues de Menezes:
Improved generalization learning with Sliding Mode Control and the Levenberg-Marquadt Algorithm.
SBRN 2002: 44-48 |
14 | EE | Marcelo Azevedo Costa,
Antônio de Pádua Braga,
Benjamin Rodrigues de Menezes:
Constructive and Pruning Methods for Neural Network Design.
SBRN 2002: 49-54 |
13 | EE | Marcelo Azevedo Costa,
Antônio de Pádua Braga,
Benjamin Rodrigues de Menezes:
Improving neural networks generalization with new constructive and pruning methods.
Journal of Intelligent and Fuzzy Systems 13(2-4): 75-83 (2002) |
2001 |
12 | EE | Roselito de Albuquerque Teixeira,
Antônio de Pádua Braga,
Ricardo H. C. Takahashi,
Rodney R. Saldanha:
Recent Advances in the MOBJ Algorithm for Training Artifical Neural Networks.
Int. J. Neural Syst. 11(3): 265-270 (2001) |
2000 |
11 | EE | Marcelo Barros de Almeida,
Antônio de Pádua Braga,
João Pedro Braga:
SVM-KM: Speeding SVMs Learning with a priori Cluster Selection and k-Means.
SBRN 2000: 162-167 |
10 | EE | Roselito de Albuquerque Teixeira,
Antônio de Pádua Braga,
Ricardo H. C. Takahashi,
Rodney R. Saldanha:
A Multi-Objective Optimization Approach for Training Artificial Neural Networks.
SBRN 2000: 168-172 |
9 | | Roselito de Albuquerque Teixeira,
Antônio de Pádua Braga,
Benjamin Rodrigues de Menezes:
Control of a Robotic Manipulator Using Artificial Neural Networks with On-line Adaptation.
Neural Processing Letters 12(1): 19-31 (2000) |
8 | EE | Roselito de Albuquerque Teixeira,
Antônio de Pádua Braga,
Ricardo H. C. Takahashi,
Rodney R. Saldanha:
Improving generalization of MLPs with multi-objective optimization.
Neurocomputing 35(1-4): 189-194 (2000) |
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 | Gustavo Guimarães Parma,
Benjamin Rodrigues de Menezes,
Antônio de Pádua Braga:
Neural Networks Learning with Sliding Mode Control: The Sliding Mode Backpropagation Algorithm.
Int. J. Neural Syst. 9(3): 187-193 (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 | EE | Antônio de Pádua Braga,
Marcelo Azevedo Costa:
A General Approach for Density in the n-Dimensional Boolean Space.
SBRN 1998: 161-164 |
2 | EE | Gustavo Guimarães Parma,
Benjamin Rodrigues de Menezes,
Antônio de Pádua Braga:
Improving Backpropagation with Sliding Mode Control.
SBRN 1998: 8-13 |
1995 |
1 | EE | Antônio de Pádua Braga,
Igor Aleksander:
Geometrical treatment and statistical modelling of the distribution of patterns in the n-dimensional Boolean space.
Pattern Recognition Letters 16(5): 507-515 (1995) |