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Artigos completos publicados em periódicos
XAVIER-JÚNIOR, JOÃO C. ;
FREITAS, ALEX A. ; Ludermir, Teresa B. ; FEITOSA-NETO, ANTONINO ; BARRETO,
CEPHAS A.S. . An evolutionary algorithm for automated machine learning focusing
on classifier ensembles: An improved algorithm and extended results. THEORETICAL
COMPUTER SCIENCE, v. 805, p. 1-18, 2020
de Paula Neto, Fernando M. ;
Ludermir, Teresa B. ; de Oliveira, Wilson R. ; DA SILVA, ADENILTON J. .
Implementing Any Nonlinear Quantum Neuron. IEEE Transactions on Neural Networks
and Learning Systems, v. 30, p. 1-6, 2020.
STOSIC, DARKO ; STOSIC,
DUSAN ; Ludermir, Teresa B. ; STOSIC, TATIJANA . Multifractal behavior of price
and volume changes in the cryptocurrency market. PHYSICA A-STATISTICAL
MECHANICS AND ITS APPLICATIONS, v. 520, p. 54-61, 2019.
MACÊDO, DAVID ; ZANCHETTIN,
CLEBER ; OLIVEIRA, ADRIANO L.I. ; LUDERMIR, TERESA . Enhancing Batch Normalized
Convolutional Networks using Displaced Rectifier Linear Units: A Systematic
Comparative Study. EXPERT SYSTEMS WITH APPLICATIONS, v. 124, p. 271-281, 2019.
STOSIC, DUSAN ; STOSIC,
DARKO ; LUDERMIR, TERESA BERNARDA ; REN, TSANG ING . Natural Image Segmentation
with Non-Extensive Mixture Models. JOURNAL OF VISUAL COMMUNICATION AND IMAGE
REPRESENTATION, v. 63, p. 102598-1, 2019.
STOSIC, DARKO ; STOSIC, DUSAN
; Ludermir, Teresa B. ; STOSIC, TATIJANA . Exploring disorder and complexity in
the cryptocurrency space. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS,
v. 525, p. 548-556, 2019.
DE PAULA NETO, FERNANDO M ;
DA SILVA, ADENILTON J ; DE OLIVEIRA, WILSON R ; Ludermir, Teresa B. . Quantum
probabilistic associative memory architecture. NEUROCOMPUTING, v. 351, p.
101-110, 2019.
STOSIC, DARKO ; STOSIC,
DUSAN ; Teresa B. Ludermir ; STOSIC, TATIJANA . Nonextensive triplets in
cryptocurrency exchanges. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS,
v. 505, p. 1069-1074, 2018.
STOSIC, DARKO ; STOSIC,
DUSAN ; Teresa B. Ludermir ; STOSIC, TATIJANA . Collective behavior of
cryptocurrency price changes. PHYSICA A-STATISTICAL MECHANICS AND ITS
APPLICATIONS, v. 507, p. 499-509, 2018.
Lucas, T.D.P. ; SILVA, T. C.
P. B. E. ; VIMIEIRO, R. ; Teresa B. Ludermir . A new evolutionary algorithm for
mining top-k discriminative patterns in high dimensional data. APPLIED SOFT
COMPUTING, v. 59, p. 487-499, 2017.
STOSIC, DUSAN ; MULKERS, J.
; Van WAEYENBERGE, B. ; Teresa B. Ludermir ; MILOSEVIC, M.V. . Paths to
collapse for isolated skyrmions in few-monolayer ferromagnetic films. PHYSICAL
REVIEW B, v. 95, p. 214418, 2017.
STOSIC, D. ; STOSIC, DARKO ;
ZANCHETTIN, CLEBER ; Teresa B. Ludermir ; STOSIC, BORKO . QRNN: q-Generalized
Random Neural Network. IEEE Transactions on Neural Networks and Learning
Systems, v. 28, p. 383-390, 2017.
PAPPA, GISELE LOBO ;
REVOREDO, KATE CERQUEIRA ; Ludermir, Teresa B. . BRACIS 2015: Progress in
Computation Intelligence in Brazil. NEUROCOMPUTING, v. 246, p. 1-2, 2017.
STOSIC, DUSAN ; Teresa B.
Ludermir ; MILOSEVIC, M.V. . Pinning of magnetic skyrmions in a monolayer Co
film on Pt(111): Theoretical characterization and exemplified utilization.
PHYSICAL REVIEW B, v. 96, p. 214403, 2017.
de Paula Neto, Fernando M. ;
de Oliveira, Wilson R. ; Teresa B. Ludermir ; SILVA, Adenilton J. . Chaos in a
quantum neuron: An open system approach. NEUROCOMPUTING, v. 246, p. 3-11, 2017.
STOSIC, DARKO ; STOSIC,
DUSAN ; LUDERMIR, TERESA ; DE OLIVEIRA, WILSON ; STOSIC, TATIJANA . Foreign
exchange rate entropy evolution during financial crises. Physica. A (Print), v.
449, p. 233-239, 2016.
Prudêncio, Ricardo B.C. ;
Ludermir, Teresa B. . Progress in intelligent systems design. Neurocomputing
(Amsterdam), v. 180, p. 1-2, 2016.
DE OLIVEIRA, JOÃO F.L. ;
Ludermir, Teresa B. . A hybrid evolutionary decomposition system for time
series forecasting. Neurocomputing (Amsterdam), v. 180, p. 27-34, 2016.
STOSIC, DUSAN ; STOSIC,
DARKO ; LUDERMIR, TERESA . Voting based q-generalized extreme learning machine.
Neurocomputing (Amsterdam), v. 174, p. 1021-1030, 2016.
DA SILVA, ADENILTON J. ; DE
OLIVEIRA, WILSON R. ; Ludermir, Teresa B. . Weightless neural network parameters
and architecture selection in a quantum computer. Neurocomputing (Amsterdam),
v. 183, p. 13-22, 2016.
DE PAULA NETO, FERNANDO M. ;
DE OLIVEIRA, WILSON R. ; DA SILVA, ADENILTON J. ; Ludermir, Teresa B. . Chaos
in Quantum Weightless Neuron Node Dynamics. Neurocomputing (Amsterdam), v. 183,
p. 23-38, 2016.
DA SILVA, ADENILTON JOSÉ ;
LUDERMIR, TERESA BERNARDA ; DE OLIVEIRA, WILSON ROSA . Quantum perceptron over
a field and neural network architecture selection in a quantum computer. Neural
Networks, v. 78, p. 55-64, 2016.
STOSIC, DARKO ; STOSIC,
DUSAN ; LUDERMIR, TERESA ; STOSIC, TATIJANA . Correlations of multiscale
entropy in the FX market. Physica. A (Print), v. 457, p. 52-61, 2016.
SOUSA, ARTHUR F.M. ;
Prudêncio, Ricardo B.C. ; Ludermir, Teresa B. ; SOARES, CARLOS . Active
Learning and Data Manipulation Techniques for Generating Training Examples in
Meta-Learning. Neurocomputing (Amsterdam), v. 194, p. 45-55, 2016.
CAMBUIM, LUCAS F.S. ; MACIEIRA,
RAFAEL M. ; NETO, FERNANDO M.P. ; BARROS, EDNA ; Ludermir, Teresa B. ;
ZANCHETTIN, CLEBER . An Efficient Static Gesture Recognizer Embedded System
Based on ELM Pattern Recognition Algorithm. Journal of Systems Architecture, v.
68, p. 1-16, 2016.
FIGUEIREDO, E.M.N. ;
LUDERMIR, T.B. ; BASTOS-FILHO, C.J.A. . Many Objective Particle Swarm
Optimization. Information Sciences, v. 374, p. 115-134, 2016.
SERGIO, ANDERSON T. ; DE
LIMA, TIAGO P.F. ; Ludermir, Teresa B. . Dynamic Selection of Forecast Combiners.
Neurocomputing (Amsterdam), v. 218, p. 37-50, 2016.
STOSIC, DARKO ; STOSIC,
DUSAN ; TERESA B. LUDERMIR ; STOSIC, BORKO ; MILOSEVIC, M.V. . GPU-advanced 3D
electromagnetic simulations of superconductors in the Ginzburg-Landau
formalism. JOURNAL OF COMPUTATIONAL PHYSICS, v. 322, p. 183-198, 2016.
POZO, AURORA ; DE ARRUDA
CAMARGO, HELOISA ; Ludermir, Teresa B. . Progress in
Intelligent Systems. Neurocomputing (Amsterdam), v. 161, p. 1-3,
2015.
DA SILVA, ADENILTON J. ; DE OLIVEIRA, WILSON R. ; Ludermir,
Teresa B. . Comments on
-Quantum M-P Neural Network-. International Journal of Theoretical Physics,
v. 54, p. 1878-1881, 2015.
LIMA, T. P. F. ; SILVA, A. ; TERESA B.
LUDERMIR ; De Oliveira,
W.R. .
An automatic methodology for construction of multi-classifier systems based on
the combination of selection and fusion. Progress in Artificial
Intelligence, v. 2, p. 1-10, 2014.
FIGUEIREDO, E. M. N. ; TERESA
B. LUDERMIR . Investigating
the use of alternative topologies on performance of the PSO-ELM.
Neurocomputing (Amsterdam), v. 127, p. 4-12, 2014.
Ludermir, Teresa B. ; ZANCHETTIN,
CLEBER ; CAROLINA LORENA, ANA . Advances
in intelligent systems. Neurocomputing (Amsterdam), v. 127, p. 1-3, 2014.
2013
FERREIRA, A. A. ; TERESA
B. LUDERMIR ; Aquino, R. . An
Approach to Reservoir Computing Design and Training. Expert Systems with
Applications, v. 40, p. 4172-4182, 2013.
Ludermir, Teresa B. ; DE OLIVEIRA, WILSON R. . Particle
Swarm Optimization of MLP for the identification of factors related to Common
Mental Disorders. Expert Systems with Applications, v. 40, p. 4648-4652,
2013.
GOMES, GECYNALDA S. DA
S. ; Ludermir, Teresa B. . Optimization
of the weights and asymmetric activation function family of neural network for
time series forecasting. Expert Systems with Applications, v. 40, p.
6438-6446, 2013.
LIMA, T. P. F.
; Teresa B. Ludermir . An automatic method
for construction of ensembles to time series prediction. International
Journal of Hybrid Intelligent Systems, v. 10, p. 191-203, 2013.
2012
SILVA, A. ; De Oliveira, W.R. ; LUDERMIR,
T. B.. Classical
and Superposed Learning for Quantum Weightless Neural Networks. Neurocomputing (Amsterdam), v. 75, p.
52-60, 2012
LUDERMIR, T. B. SOUTO, Marcílio Carlos Pereira de and
VELLASCO, Marley. Automatic
parameters selection in machine learning. Neurocomputing (Amsterdam), v.
75, p. 1-2, 2011.
PRUDÊNCIO, R. B. C. ; LUDERMIR, T. B. Combining
Uncertainty Sampling methods for supporting the generation of meta-examples.
Information Sciences, v. 196, p. 1-14, 2012.
Luciano D. S. Pacifico, Teresa
Bernarda Ludermir:
Improved
Evolutionary Extreme Learning Machines Based on Particle Swarm Optimization and
Clustering Approaches. IJNCR 3(3): 1-20 (2012)
2011
ZANCHETTIN, C. ; LUDERMIR, T. B. ; ALMEIDA, L.
M. Hybrid Training
Method for MLP: Optimization of Architecture and Training. IEEE Transactions on Systems, Man and
Cybernetics. Part B. Cybernetics, v. 41, p. 1-13, 2011
GOMES, G. S. S. ; LUDERMIR, T. B.. Comparison
of new activation functions in neural network for forecasting financial time
series, Neural Computing & Applications, v. 20, p. 417-439, 2011
Valença, I.B. ; Lucas, T. ;
LUDERMIR, T. B. ; VALENÇA, M. J. S. . Selecting
variables with search algorithms and neural networks to improve the process of
time series forecasting
. International Journal of
Hybrid Intelligent Systems, v. 8, p. 129-141, 2011
LUDERMIR, T. B. ; PRUDÊNCIO,
R. B. C.
; ZANCHETTIN,
C.
. Feature and algorithm selection with Hybrid Intelligent Techniques. International Journal of Hybrid Intelligent Systems, v. 8, p. 115-116,
2011
2010
ALMEIDA,
L. M. ; LUDERMIR, T. B. A
multi-objective memetic and hybrid methodology for optimizing the parameters and
performance of artificial neural networks, Neurocomputing (Amsterdam), v. 73,
p. 1438-1450, 2010
ZANCHETTIN, C., MINKU, L.L.; LUDERMIR, T. B.: DESIGN OF EXPERIMENTS
IN NEURO-FUZZY SYSTEMS. International Journal of Computational Intelligence and Applications, v.9, p.137-152, 2010.
2009
LUDERMIR, T. B. ; SOUTO, Marcílio Carlos Pereira de ;
De Oliveira, W.R. On A Hybrid Weightless
Neural System. International Journal
of Bio-Inspired Computation, v. 1, p. 93-104, 2009
GOMES, G. S. S. ; LUDERMIR, T. B. . Redes
Neurais Artificiais com Funções de Ativação Complemento LOG-LOG e PROBIT para
Aproximar Funções na Presença de Observações Extremas. Learning and Nonlinear Models, v. 8, p. 1-15, 2009
2008
CORRÊA,
R. F. ; LUDERMIR, T. B. A
Quickly Trainable Hybrid SOM-Based Document Organization System. Neurocomputing (Amsterdam), v. 71, p.
3353-3359, 2008
MAIA, A. L. S. ; CARVALHO, Francisco de Assis Tenório
de ; LUDERMIR, T. B. Forecasting
models for interval-valued time series. Neurocomputing (Amsterdam), v. 71, p. 3344-3352, 2008
PRUDÊNCIO, R. B. ; LUDERMIR, T. B. . Selective
Generation of Training Examples in Active Meta-Learning. The International Journal of Hybrid
Intelligent Systems (IJHIS), v. 5, p. 59-70, 2008
MINKU, F. L. ; LUDERMIR, T. B. Clustering
and co-evolution to construct neural network ensembles: an experimental study.
Neural Networks, v. 21, p. 1363-1379, 2008
SOUTO, Marcílio Carlos Pereira de ; COSTA, I. G. ;
ARAUJO, D. A. S. ; LUDERMIR, T. B. ; SCHLIEP, A. Clustering Cancer Gene Expression Data: a
Comparative Study. BMC Bioinformatics, v. 9, p. 497, 2008
2007
ZANCHETTIN, C., LUDERMIR, T. B.: Global Optimization
Methods for Designing and Training Feedforward Artificial Neural Networks. Dynamics
of Continuous, Discrete and Impulsive System, v.14, p.328 - 337, 2007.
ZANCHETTIN, C., LUDERMIR, T. B.: Wavelet filter for
noise reduction and signal compression in an artificial nose. Applied
Soft Computing, v.7, p.246 - 256, 2007.
2006
LUDERMIR, T. B., YAMAZAKI, A., ZANCHETTIN, C.: An Optimization
Methodology for Neural Network Weights and Architectures. IEEE
Transactions on Neural Networks, v.17, p.1452 - 1459, 2006.
CORRÊA, R. F., LUDERMIR, T. B.: Improving
Self Organization of Document Collections by Semantic Mapping. Neurocomputing,
v.70, p.62 - 69, 2006.
2005
SOUTO, M. C. P., LUDERMIR, T. B., De Oliveira, W.R.: Equivalence between RAM-based Neural
Networks and Probabilistic Automata. IEEE Transactions on Neural Networks, v.16,
p.996 - 999, 2005.
LACERDA, E. G. M., CARVALHO, A. C. P. L., BRAGA, A.
P., LUDERMIR, T. B.: Evolutionary
Radial Basis Functions for Credit Risk Assessment. Applied Intelligence,
v.22, p.167 - 181, 2005.
ZANCHETTIN, C., LUDERMIR, T. B.: Hybrid Neural Systems
for Pattern Recognition in Artificial Noses. International Journal of Neural Systems, v.15, p.137 - 149, 2005.
ZANCHETTIN, C., LUDERMIR, T. B.: Sistemas Neurais
Híbridos para Reconhecimento de Padrões em Narizes. SBA. Sociedade
Brasileira de Automática. , v.16, p.159 - 172, 2005.
OLIVEIRA, E. M. J., CAMPOS, P. G., LUDERMIR, T. B.,
CARVALHO, F. A. T.: Uma abordagem híbrida de classificação para o
reconhecimento de odores petroquimicos. Revista Tecnologia da Informação.
, v.5, p.65 - 79, 2005.
2004
PRUDÊNCIO, R. B. C., LUDERMIR, T. B., CARVALHO, F. A.
T: A
modal symbolic classifier for selecting time series models. Pattern Recognition Letters, v.25, p.911 - 921, 2004.
PRUDÊNCIO, R. B., LUDERMIR, T. B.: Meta-learning
approaches to selecting time series models. Neurocomputing, v.61C,
p.121 - 137, 2004.
2003
LACERDA, E. G. M., CARVALHO, A. C. P. L., LUDERMIR, T.
B.: Model Selection
via Genetic Algorithms for RBF Networks. Journal of Intelligent &
Fuzzy Systems, v.13, p.111 - 122, 2003.
DINIZ FILHO, J., LUDERMIR, T. B.: Modeling a
Particular Decision Process by Using a Modulatory Activation Function. International
Journal of Neural Systems, v.13, p.111 - 118, 2003.
YAMAZAKI, A., LUDERMIR, T. B.: Neural Network Training
with Global Optimization Techniques. International Journal of Neural Systems,
v.13, p.77 - 86, 2003.
LUDERMIR, T. B., SOUTO, M. C. P.: Special Issue on the
VIIth Brazilian Symposium on Artificial Neural Networks - Introduction by Guest
Editors. International Journal of Neural Systems, v.13, p.55 - 57, 2003.
De Oliveira, W.R., SOUTO, M. C. P., LUDERMIR, T. B.: Turing's Analysis of
Computation and Artificial Neural Networks. Journal of Intelligent &
Fuzzy Systems, v.13, p.85 - 98, 2003.
2002
LUDERMIR, T. B., SOUTO, M. C. P.: The VIIth Brazilian
Symposium on Neural Networks (SBRN'02). Journal of Intelligent & Fuzzy Systems, v.13, p.61 - 62, 2002.
LACERDA, E. G. M., CARVALHO, A. C. P. L., LUDERMIR, T.
B.: Um tutorial sobre Algoritmos Genéticos. Revista de
Informática Teórica e Aplicada, v.9, p.7 - 39,
2002.
2001
YAMAZAKI, A., LUDERMIR, T. B., SOUTO, M. C. P.: Classification
of vintages of wine by an artificial nose using time delay neural networks.
Electronics Letters, v.37, p.1466 - 1467, 2001.
Lacerda,
E. G. M. de, Carvalho, A. de, LUDERMIR, T. B.: Evolutionary Optimization of RBF Networks. International
Journal of Neural Systems, v.11, p.1 - 12, 2001.
SILVA, R. B. A., LUDERMIR, T. B.: Hybrid Systems
of Local Basis Functions. Intelligent Data Analysis, v.5, p.227 -
244, 2001.
1999
- 1990
BRAGA, A. P., LUDERMIR, T. B.: Artificial Neural
Networks in Brazil: an introduction to the special issue of IJNS. International
Journal of Neural Systems, v.9, p.163 - 165, 1999.
NOBRE, C. N., MARTELLI, E., BRAGA, A. P., CARVALHO, A.
C. P. P. L. F., REZENDE, S., BRAGA, J. L., LUDERMIR, T. B. Knowledge
extraction: a comparison between symbolic and connectionist methods. International
Journal of Neural Systems, v.9, p.257 - 264, 1999.
SOUZA, J. E. G., NETO, B.B., SANTOS, F. L., PINTO DE
MELO, C., LUDERMIR, T. B.
Polypyrrole
Based Aroma Sensor, Synthetic Metals, v.102, p.1296 - 1299, 1999.
DE SOUTO, M. C. P., ADEODATO, P. J. L., LUDERMIR, T.
B.
Sequencial RAM-Based Neural Networks: Learnability,
Generalization, Knowledge Extraction and Grammatical Inference. International
Journal of Neural Systems, v.9, p.203 - 210, 1999.
LUDERMIR, T. B., CARVALHO, A. P. L., BRAGA, A. P., DE
SOUTO, M. C. P.
Weightless
Neural Models: A Review of Current and Past Works. Neural Computing Surveys, v.2, p.41 - 61, 1998.
LUDERMIR, T. B.: Estudo das Redes Neurais Une Várias
Ciências. Informática Brasileira em Análise, v.1, 1997.
LUDERMIR, T. B., De Oliveira, W.R.: Weigthless Neural
Models. Computer
Standards and Interfaces, v.16, p.253 - 263, 1994.
LUDERMIR, T. B.: Computability of Logical Neural
Networks. Journal of Intelligent Systems, v.2, p.261 - 290, 1992.
LUDERMIR, T. B.: Temporal Behaviour and Computability
in Logical Neural Networks. Center Neural Networks Newsletter, v.1, p.05
- 07, 1991.
LUDERMIR, T. B.: A Simple Network for Temporal Processing.
Neural Network
Review, 1990.
Livros publicados
1. BRAGA, A. P., CARVALHO, A. C. P. L., LUDERMIR, T.
B. Redes Neurais Artificiais: teoria e aplicações. LTC - Livros Técnicos e
Científico, 2ª edição, 2007 p.260.
2. BRAGA, A. P., CARVALHO, A. P. L., LUDERMIR, T. B.
Redes Neurais Artificiais: teoria e aplicações. Livros Técnicos e Científicos,
2000 p.262.
3. Galvão, C. de, VALENÇA, M. J. S., Vieira, V. P. P.
B., DINIZ, L. S., Lacerda, E. G. M. de, Carvalho, A. de, LUDERMIR, T. B.
Sistemas Inteligentes: Aplicações a Recursos Hídricos e Ciências Ambientais.
Editora da Universidade Federal do Rio Grande do Sul; ABRH, 1999 p.246.
4. BRAGA, A. P., CARVALHO, A. P. L., LUDERMIR, T. B.
Fundamentos de Redes Neurais. XII Escola de Computação - UFRJ, 1998 p.246.
Capítulos de livros publicados
1. CARVALHO, A. P. L., BRAGA, A. P., LUDERMIR, T. B.:
Credit Card Users' Data Mining. Encyclopedia of Information Science and Technology, Idea Group Inc,
2004, v.1, p. 1-3.
2. LACERDA, E., CARVALHO, A. C. P. L., LUDERMIR, T.
B.: Análise de Crédito utilizando Redes Neurais Artificiais, Sistemas
Inteligentes - Fundamentos e Aplicações, ed. Manole, 2002, v.1, p. 473-476.
3. CARVALHO, A. C. P. L. F., BRAGA, A. P, LUDERMIR, T.
B.: Computação Evolutiva, Sistemas Inteligentes - Fundamentos e Aplicações,
Editora Manole, 2002, v.01, p. 225-248.
4. LUDERMIR, T. B., CARVALHO, A. C. P. L., BRAGA, A.
P.: Nariz Artificial In: Sistemas Inteligentes - Fundamentos e Aplicações,
Editora Manole, 2002, v.1, p. 391-393.
5. BRAGA, A. P, CARVALHO, A. C. P. L. F., LUDERMIR, T.
B.: Radial Basis Functions: Theory and Applications, Nonlinear Modeling and
Forecasting of High Frequency Financial and Economic Time Series, Kluwer
Academic Publishers, 2002
6. BRAGA, A.P., LUDERMIR, T. B., CARVALHO, A. C. P. L.
F.: Redes Neurais Artificiais, Sistemas Inteligentes - Fundamentos e
Aplicações, Editora Manole, 2002, v.01, p. 141-168.
7. LUDERMIR, T. B., CARVALHO, A. C. P. L. F., BRAGA,
A., SOUTO, M.C.P.: Sistemas Inteligentes Híbridos, Sistemas Inteligentes -
Fundamentos e Aplicações, Editora Manole, 2002, v.01, p. 249-268.
8. CARVALHO, A. P. L., BRAGA, A. P., REZENDE, S.,
LUDERMIR, T. B., MARTELLI, E.: Understanding Credit Card Users Behaviour: A
Data Mining Approach, Heuristic and Optimization for Konwledge Discovery, Idea
Group Publishing, 2002, p. 241-262.
9. Lacerda, E. G. M. de, CARVALHO, A. P. L., LUDERMIR,
T. B.: Evolutionary Optimization of RBF networks, Radial basis function neural
networks: design and applications In: Studies in Fuzziness and Soft Computing
Series, Springer-Verlag, 2001
10. BRAGA, A. P., CARVALHO, A. C. P. L. F., LUDERMIR,
T. B., ALMEIDA, M. B., LACERDA, E.: Radial Basis Functions Networks, Nonlinear
Modeling and Forecasting of High Frequency Financial and Economic Time Series,
Kluwer Publications, 2001
11. VALENÇA, M. J. S., LUDERMIR, T. B.: Aplicações de
Redes Neurais, Sistemas Inteligentes-aplicações a recursos hídricos e ciências ambientais,
Editora da Universidade Federal do Rio Grande do Sul, 1999, p. 49-84.
12. CARVALHO, A. P. L., BRAGA, A. P., LUDERMIR, T. B.:
Input-Output Modelling Of Credit Approval Data-Set Using Neural Data Mining
Set, Nonlinear Modelling and Forecasting of High Frequency Financial and
Economic Time Series, Kluver, 1999
13. VALENÇA, M. J. S., LUDERMIR, T. B.: Introdução às
Redes Neurais, Sistemas Inteligentes-Aplicações a Recursos Hídricos e Ciências
Ambientais, Editora da Universidade Federal do Rio Grande do Sul, 1999, p.
19-59.
14. BRAGA, A. P., CARVALHO, A. P. L., LUDERMIR, T. B.:
Radial Basis Function: Theory And Applications, Nonlinear Modelling and
Forecasting of High Frequency Financial and Economic Time Series, Kluver, 1999
15. SANTOS, M. S., LUDERMIR, T. B., SANTOS, F. L.,
PINTO DE MELO, C., GOMES, J. E.:
Artificial Nose And Data Analysis Using Multi Layer
Perceptron, Data Mining, WIT Press, Computational Mechanics Publication, 1998,
p. 251-264.
16. LUDERMIR, T. B., BRAGA, A. P., NOBRE, C. N.,
CARVALHO, A. P. L.: Extracting Rules From Neural Networks: A Data Mining
Approach, Data Mining, Wit Press, Computational Mechanics Publication, 1998, p.
303-314.
17. DE SOUTO, M. C. P., LUDERMIR, T. B., De Oliveira, W.R.:
Synthesis of Probabilistic Automata in pRAM Neural Networks, Artificial Neural
Networks, Spring-Verlag, 1998, p. 603-608.
18. De Oliveira, W.R., LUDERMIR, T. B.: Turing Machine
Simulation By Logical Neural Networks, Artificial Neural Networks 2, North-Holland,
1992, p. 663-668.
19. LUDERMIR, T. B.: A Cup-Point Recognition Algorithm
Using PLN Node, Artificial Neural Networks, North-Holland, 1991, p. 1091-1094.
20. LUDERMIR, T. B.: A Feedback Network for Temporal
Pattern Recognition, Parallel Processing in Neural Systems and computers,
North-Holland, 1990, p. 395-398.
Livros organizados
1. LUDERMIR, T. B., SOUTO, M. C. P.: Anais do VII
Simpósio Brasileiro de Redes Neurais, Sociedade Brasileira de Computação, 2002
2. LUDERMIR, T. B., SOUTO, M. C. P.: Proceedings of
VII Brazilian Symposium on Neural Networks, IEEE Computer Society, 2002,
v.1. p.270.
3. BRAGA, A. P., LUDERMIR, T. B.: Vth Brazilian
Symposium on Neural Networks, IEEE Computer Society, 1998, v.1. p.260.
4. LUDERMIR, T. B.: III Simpósio Brasileiro de Redes
Neurais, UFPE, 1996, v.1. p.313.
Artigos Publicados em Anais de Congressos (completo)
1. |
ZANCHETTIN, C. ; LUDERMIR, T. B.
. Hybrid Optimization Technique for Artificial Neural Networks Design. In:
International Conference on Enterprise Information Systems, 2009, Milão.
Proceedings International Conference on Enterprise Information Systems, 2009.
|
2. |
FERREIRA, A. A. ; LUDERMIR, T. B. . Genetic
Algorithm for Reservoir Computing Optimization.. In: International Joint
Conference on Neural Networks, 2009, Atlanta. Proceedings of International
Joint Conference on Neural Networks, 2009. p. 811-815. |
3. |
GOMES, G. S. S. ; LUDERMIR, T. B. ;
ALMEIDA, L. M. . Neural networks with asymmetric activation function for
function approximation. In: International Joint Conference on Neural
Networks, 2009, Atlanta. Proceedings of International Joint Conference on
Neural Networks. Los Alamitos : IEEE Press, 2009. |
4. |
SOUZA, J. R. ; LUDERMIR, T. B. ; ALMEIDA,
L. M. . A Two Stage Clustering Method Combining Self-Organizing Maps and Ant
K-means.. In: 19th International Conference on Artificial Neural Networks
(ICANN 2009), 2009, Linassol. Lecture Notes in Computer Science. Amsterdam :
Springer Verlag, 2009. v. 5768. p. 485-494. |
5. |
SOUZA,
J. R. ; LUDERMIR, T. B. ; ALMEIDA, L. M. . Um método de agrupamento em dois
estágios combinando mapas auto-organizáveis e ant k-médias. In: VII ENIA -
Encontro Nacional de Inteligência Artificial, 2009, Bento Gonçalves. Anais do
VII ENIA - Encontro Nacional de Inteligência Artificial, 2009. |
6. |
PRUDÊNCIO, R. B. C. ; LUDERMIR, T. B. .
Active Generation of Training Examples for Meta-Regression. In: nternational
Conference on Artificial Neural Networks, 2009, Linassol. Lecture Notes in
Computer Science. Amsterdam : Springer Verlag, 2009. v. 5768. p. 30-39. |
7. |
Valença, I.B. ; LUDERMIR, T. B. . Hybrid
Systems for River Flood Forecasting using MLP, SOM and Fuzzy Systems. In:
19th International Conference on Artificial Neural Networks (ICANN 2009),
2009, Linassol. Lecture Notes in Computer Science. Amsterdam : Springer
Verlag, 2009. v. 5768. p. 557-566. |
8. |
Soares, R.G.F. ; LUDERMIR, T. B. ; CARVALHO, Francisco de Assis Tenório de
. An analysis of meta-learning techniques for ranking clustering algorithms
applied to artificial data. In: 19th International Conference on Artificial
Neural Networks (ICANN 2009), 2009, Linassol. Lecture Notes in Computer
Science. Amsterdam : Springer Verlag, 2009. v. 5768. p. 131-140. |
9. |
ZARTH,
A. M. F. ; LUDERMIR, T. B. . Optimization of Neural Networks Weights and
Architecture: A multimodal methodology. In: International Conference on
Intelligent Systems Design and. Applications, 2009, Pisa. Proceedings
International Conference on Intelligent Systems Design and. Applications. Los
Alamitos : IEEE Computer Press, 2009. |
10. |
PRUDÊNCIO, R. B. C. ; LUDERMIR,
T. B. . Combining Uncertainty Sampling Methods for Active Meta-Learning. In:
International Conference on Intelligent Systems Design and. Applications,
2009, Pisa. Proceedings International Conference on Intelligent Systems
Design and. Applications. Los Alamitos : IEEE Computer Press, 2009. |
11. |
CORRÊA, R. F. ; LUDERMIR, T.
B. . Semantic Mapping and K-means applied to Hybrid SOM-Based Document
Organization System Construction. In: SAC'08 - ACM 2008 SYMPOSIUM ON APPLIED
COMPUTING, 2008, Fortaleza. Proceedings of ACM 2008 SYMPOSIUM ON APPLIED
COMPUTING. p. 1111-1115. |
12. |
SOUTO, M. C. P. ; PRUDÊNCIO, R. B. ; Soares,
R.G.F. ; ARAUJO, D. A. S. ; COSTA, I. G. ; LUDERMIR, T. B. ; SCHLIEP, A. .
Ranking and Selecting Clustering Algorithms Using a Meta-learning Approach.
In: International Joint Conference on Neural Networks, 2008, Hong Kong.
Proceedings of International Joint Conference on Neural Networks. Los
Alamitos : IEEE, 2008. p. 3728-3734. |
13. |
SOUTO, M. C. P. ; ARAUJO, D. A. S. ; COSTA,
I. G. ; Soares, R.G.F. ; LUDERMIR, T. B. ; SCHLIEP, A. . Comparative Study on
Normalization Procedures for Cluster Analysis of Gene Expression Datasets.
In: International Joint Conference on Neural Networks, 2008, Hong Kong.
Proceedings of International Joint Conference on Neural Networks. Los
Alamitos : IEEE, 2008. p. 2793-2799. |
14. |
FERREIRA, A. A. ; LUDERMIR, T. B. ; Aquino,
R. . Investigating the Use of Reservoir Computing for Forecasting the Hourly
Wind Speed in Short -term. In: International Joint Conference on Neural
Networks, 2008, Hong Kong. Proceedings International Joint Conference on
Neural Networks. Los Alamitos : IEEE, 2008. p. 1950-1957. |
15. |
SILVA, K. P. ; Soares, R.G.F. ; CARVALHO, Francisco de Assis Tenório de
; LUDERMIR, T. B. . Evolving Both Size and Accuracy of RBF Networks. In:
International Joint Conference on Neural Networks, 2008, Hong Kong.
Proceedings of International Joint Conference on Neural Networks. Los
Alamitos : IEEE, 2008. p. 1939-1945. |
16. |
Soares, R.G.F. ; SILVA, K. P. ; LUDERMIR,
T. B. ; CARVALHO, Francisco de Assis Tenório de
. An Evolutionary Approach for the Clustering Data Problem. In: International
Joint Conference on Neural Networks, 2008, Hong Kong. Proceedings of
International Joint Conference on Neural Networks. Los Alamitos : IEEE, 2008.
p. 1946-1951. |
17. |
ZANCHETTIN, C. ; LUDERMIR, T.
B. . Feature Subset Selection in a Methodology for Training and Improving
Artificial Neural Network Weights and Connections. In: International Joint
Conference on Neural Networks, 2008, Hong Kong. Proceedings of International
Joint Conference on Neural Networks. Los Alamitos : IEEE, 2008. p. 1952-1959.
|
18. |
PRUDÊNCIO, R. B. C. ; LUDERMIR, T. B. .
Active Meta-learning with Uncertainty Sampling and Outlier Detection. In:
International Joint Conference on Neural Networks, 2008, Hong Kong.
Proceedings of International Joint Conference on Neural Networks. Los
Alamitos : IEEE, 2008. p. 347-352. |
19. |
ALMEIDA, L. M. ; LUDERMIR, T. B. . An
Improved Method for Automatically Searching Near-optimal Artificial Neural
Networks. In: International Joint Conference on Neural Networks, 2008, Hong
Kong. Proceedings of International Joint Conference on Neural Networks. Los
Alamitos : IEEE, 2008. p. 2236-2243. |
20. |
Guerra, S. ; PRUDÊNCIO, Ricardo Bastos
Cavalcante ; LUDERMIR, T. B. . Predicting the Performance of Learning
Algorithms Using Support Vector Machines as Meta-Regressors. In: 18th
International Conference on Artificial Neural Networks, 2008, Praga. Lecture
Notes in Computer Science - Proceedings of ICANN. Amsterdan : Springer, 2008.
v. 5163. p. 523-532. |
21. |
LUDERMIR, T. B. ; SOUTO, Marcílio Carlos Pereira de
; De Oliveira, W.R. . Weightless Neural Networks: Knowledge-based Inference
System. In: Simpósio Brasileiro de Redes Neurais, 2008, Salvador. Proceedings
of Brazilian Symposium of Neural Networks. Los Alamitos : IEEE, 2008. p.
207-212. |
22. |
Guerra, S. ; PRUDÊNCIO, R. ; LUDERMIR, T.
B. . Using Support Vector Machines to Predict the Performance of MLP Neural
Networks. In: Simpósio Brasileiro de Redes Neurais, 2008, Salvador.
Proceeding Brazilian Symposium Neural Networks Support Vector Machines as
Meta-Regressors. Los Alamitos : IEEE, 2008. p. 201-206. |
23. |
SANTOS, P. M. ; PRUDÊNCIO, R. ; LUDERMIR,
T. B. . Selecting Neural Network Forecasting Models Using the Zoomed-Ranking
Approach. In: Simpósio Brasileiro de Redes Neurais, 2008, Salvador.
Proceedings of Brazilian Symposium Neural Networks. Los Alamitos : IEEE, 2008.
p. 165-170. |
24. |
De Oliveira, W.R. ; SILVA, A. ; Galindo, W.
; PEREIRA, J. ; LUDERMIR, T. B. . Quantum Logical Neural Network. In: Simpósio
Brasileiro de Redes Neurais, 2008, Salvador. Proceedings of Brazilian
Symposium of Neural Networks. Los Alamitos : IEEE, 2008. p. 147-152. |
25. |
ALMEIDA, L. M. ; LUDERMIR, T. B. . An
evolutionary approach for tuning artificial neural network parameters. In:
The 3rd International Workshop on Hybrid Artificial Intelligence Systems,
2008, Burgos. Lecture Notes in Artificial Intelligence - HAIS 2008. Amsterdan
: Springer, 2008. v. 5271. p. 156-163. |
26. |
GOMES, G. S. S. ; LUDERMIR, T. B. .
Complementary log-log and probit: activation functions implemented in artificial
neural networks. In: 8th International Conference on Hybrid Intelligent
Systems - HIS 2008, 2008, Barcelona. Proceedings of the 8th International
Conference on Hybrid Intelligent Systems - HIS 2008. Los Alamitos : IEEE
Computer Society, 2008. v. 1. p. 939-942. |
27. |
ALMEIDA, L. M. ; LUDERMIR, T. B. . Tuning
artificial neural networks parameters using an evolutionary algorithm. In: 8th
International Conference on Hybrid Intelligent Systems - HIS 2008, 2008,
Barcelona. Proceedings of the 8th International Conference on Hybrid
Intelligent Systems - HIS 2008. Los Alamitos : IEEE Computer Society, 2008.
v. 1. p. 927-930. |
28. |
CORRÊA, R. F. ; LUDERMIR, T.
B. . Improved Semantic Mapping and SOM applied to Document Organization. In:
8th International Conference on Hybrid Intelligent Systems - HIS 2008, 2008,
Barcelona. Proceedings of the 8th International Conference on Hybrid
Intelligent Systems - HIS 2008. Los Alamitos : IEEE Computer Society, 2008.
v. 1. p. 284-289. |
29. |
FERREIRA, A. A. ; LUDERMIR, T. B. . Using
Reservoir Computing for Forecasting Time Series: Brazilian Case Study. In:
8th International Conference on Hybrid Intelligent Systems - HIS 2008, 2008,
Barcelona. Proceedings of the 8th International Conference on Hybrid
Intelligent Systems - HIS 2008. Los Alamitos : IEEE Computer Society, 2008.
v. 1. p. 602-607. |
30. |
ALMEIDA,
L. M. ; LUDERMIR, T. B. . Uma metodologia de busca por redes neurais artificiais
quase-ótimas. In: Concurso de Teses e Dissertações em Inteligência
Artificial, 2008, Salvador. Concurso de Teses e Dissertações em Inteligência
Artificial, 2008. |
31. |
FERREIRA,
A. A. ; LUDERMIR, T. B. . Algoritmo Genetico para Otimização de Reservoir
Computing: Uma primeira Tentativa. In: II Workshop on Computational
Intelligence (WCI), 2008, Salvador. Anais do II Workshop on Computational
Intelligence (WCI). Porto Alegre : SBC, 2008. |
32. |
GOMES,
G. S. S. ; LUDERMIR, T. B. . Aproximação de funções através de redes neurais
artificiais com funções de ativação complemento log-log e probit. In: II
Workshop on Computational Intelligence (WCI), 2008, Salvador. Anais do II
Workshop on Computational Intelligence (WCI). Porto Alegre : SBC, 2008. |
33. |
VALENÇA,
M. J. S. ; LUDERMIR, T. B. . Análise Comparativa entre o uso de diferentes
funções de ativação para previsão de vazões com redes neurais. In: IX
Simpósio de Recursos Hídricos do Nordeste, 2008, Salvador. Anais do IX
Simpósio de Recursos Hídricos do Nordeste, 2008. |
Before 2008
1. PRUDÊNCIO, R. B. C., LUDERMIR, T. B.: Active
Learning to Support the Generation of Meta-Examples.Lecture Notes in
Computer Science - ICANN 2007, Springer, 2007.
2. PRUDÊNCIO, R. B. C., LUDERMIR, T. B.: Active
Selection of Examples for Meta-Learning. Proceddings of International
Conference on Hybrid Intelligent Systems, IEEE Computer Society, 2007.
3. FERREIRA, A. A., Nascimento, F., Tsang, I. R.,
Cavalcanti, G., LUDERMIR, T. B., Aquino, R. Analysis of mammogram using
self-organizing neural networks based on spatial isomorphism. Proceedings
IJCNN 2007. IEEE Computer Society, 2007.
4. OLIVEIRA, E. M. J., CAMPOS, P. G., LUDERMIR, T. B.,
CARVALHO, F. A. T., De Oliveira, W.R. Application of a Hybrid Classifier to the
Recognition of Petrochemical Odors Proceddings of International
Conference on Hybrid Intelligent Systems. IEEE Computer Society, 2007.
5. PRUDÊNCIO, R. B. C., LUDERMIR, T. B. Aprendizagem Ativa
para Seleção de Exemplos em Meta-Aprendizado. ENIA 2007.
6. ALMEIDA, L. M., LUDERMIR, T. B. Automatically
searching near-optimal artificial neural networks. Proceedings European
Symposium on Artificial Neural Networks 2007, p.549 – 554.
7. ZANCHETTIN, C., LUDERMIR, T. B. Comparison of the
Effectiveness of Different Cost Functions in Global Optimization Techniques. Proceedings
IJCNN 2007. IEEE Computer Society, 2007.
8. CORRÊA, R. F., LUDERMIR, T. B. Dimensionality
Reduction of very large document collections by Semantic. Proceedings of 6th
Int. Workshop on Self-Organizing Maps. , 2007.
9. Guerra, S., PRUDÊNCIO, R. B. C., LUDERMIR, T. B.
Meta-Aprendizado de Algoritmos de Treinamento para Redes Multi-Layer
Perceptron, ENIA 2007.
10. CARVALHO, M., LUDERMIR, T. B. Particle Swarm
Optimization of Neural Network Architectures and Weights, Proceedings
International Conference on Hybrid Intelligent Systems, IEEE Computer
Society, 2007.
11. Soares, R.G.F., SILVA, K. P., CARVALHO, F. A. T.,
LUDERMIR, T. B. Uma Abordagem Evolucionária para a Otimização de Redes RBF, Anais
do Congresso Brasileiro de Redes Neurais 2007.
12. SILVA, K. P., Soares, R.G.F., LUDERMIR, T. B.,
CARVALHO, F. A. T. Uma Abordagem Evolucionária para a Tarefa de Agrupamento de
Dados, Anais do Congresso Brasileiro de Redes Neurais 2007.
13. ALMEIDA, L. M., LUDERMIR, T. B. A hybrid method
for search near-optimal artificial neural networks, Proceedings
International Conference on Hybrid Intelligent Systems, IEEE Computer
Society, 2006
14. MAIA, A. L. S., CARVALHO, F. A. T., LUDERMIR, T.
B. A hybrid model for symbolic interval time series forecasting, Lectures
Notes in Computer Science - ICONIP 2006. Berlin: Springer, 2006. v.4233,
p.934 - 941
15. CORRÊA, R. F., LUDERMIR, T. B. A Hybrid SOM-Based
Document Organization System, IX Brazilian Neural Networks Symposium.
IEEE Computer Society, 2006.
16. PRUDÊNCIO, R. B. C., LUDERMIR, T. B. A Machine
Learning Approach to Define Weights for Linear Combination of Forecasts, Lectures
Notes in Computer Science - ICANN 2006, v.4131. p.274 - 283
17. ZANCHETTIN, C., LUDERMIR, T. B. A methodology to
training and optimize artificial neural networks weights and connections, Proceedings
IJCNN 2006. IEEE Computer Society, p.10723 - 10730
18. CARVALHO, M., LUDERMIR, T. B. An Analysis of PSO
Hybrid Algorithms for Feed-Forward Neural Networks Training, IX Brazilian
Neural Networks Symposium. IEEE Computer Society, 2006.
19. MINKU, F. L., LUDERMIR, T. B. EFuNN Ensembles Construction
Using a Clustering Method and a Coevolutionary Multi-Objective Genetic
Algorithm, Lectures Notes in Computer Scienve - ICONIP 2006, v. 4233,
p.884 - 891
20. MINKU, F. L., LUDERMIR, T. B. EFuNN Ensembles
Construction Using CONE with Multi-objective GA, IX Brazilian Neural
Networks Symposium. IEEE Computer Society, 2006.
21. MINKU, F. L., LUDERMIR, T. B. EFuNNs Ensembles
Construction Using a Clustering Method and a Coevolutionary Genetic Algorithm, IEEE
Congress on Evolutionary Computation 2006, p.5548 - 5555
22. GOMES, G. S. S., LUDERMIR, T. B. Feature selection
for neural networks through binomial regression, Lectures Notes in Computer
Scienve - ICONIP 2006, v.4233. p.737 - 745
23. GOMES, G. S. S., MAIA, A. L. S., LUDERMIR, T. B.,
ARAÚJO, A., CARVALHO, F. A. T. Hybrid model with dynamic architecture for
forecasting time series, Proceedings IJCNN 2006. IEEE Computer
Society, p.7133 - 7138
24. CARVALHO, M., LUDERMIR, T. B. Hybrid Training of
Feed-Forward Neural Networks with PSO, Lecture Notes in Computer
Science - ICONIP 2006, v.4233. p.1061 - 1070
25. PRUDÊNCIO, R. B. C., LUDERMIR, T. B. Learning
Weights for Linear Combination of Forecasting Methods, IX Brazilian Neural
Networks Symposium. IEEE Computer Society, 2006.
26. GOMES, G. S. S., LUDERMIR, T. B. Modelo Híbrido em
Duas Etapas Usando Redes Neurais Artificiais e Regressão Binomial, Workshop
on Computacional Intelligence, 2006.
27. CARVALHO, M., LUDERMIR, T. B. Particle Swarm
Optimization of Feed-Forward Neural Networks with Weight Decay, Proceedings
International Conference on Hybrid Intelligent Systems, IEEE Computer
Society, 2006
28. MAIA, A. L. S., CARVALHO, F. A. T., LUDERMIR, T.
B. Symbolic interval time series forecasting using a hybrid model, IX
Brazilian Neural Networks Symposium. IEEE Computer Society, 2006.
29. ZANCHETTIN, C., LUDERMIR, T. B. The Influence of
Different Cost Functions in Global Optimization Techniques, IX Brazilian
Neural Networks Symposium. IEEE Computer Society, 2006.
30. FERREIRA, A. A., LUDERMIR, T. B. A comparative
study of neural network to artificial noses, Proceedings of IJCNN2005.
IEEE Computer Society, p.2081 - 2086
31. FERREIRA, A. A., LUDERMIR, T. B., Comparing neural
network architecture for pattern recognize system on artificial noses, Lecture
Notes in Computer Science 3696- ICANN 2005. Amsterdan: Springer, 2005. p.635 - 640
32. MINKU, F. L., LUDERMIR, T. B., ARAÚJO, A.
Computação evolucionária para otimização dinâmica de parâmetros de EFuNNs,
ENIA 2005, p.612 - 621
33. ZANCHETTIN, C., MINKU, F. L., LUDERMIR, T. B.
Design of Experiments in Neuro-Fuzzy Systems, The Fifth
International conference on Hybrid Intelligent Systems (HIS'05), IEEE
Computer Society, p.218 - 223
34. MINKU, F. L., LUDERMIR, T. B. Estratégia
Evolucionária e Algoritmo Genético para Otimização Dimâmica de Parâmetros de
EFuNNs, Anais do VII CBRN, 2005.
35. MINKU, F. L., LUDERMIR, T. B. Evolutionary
Strategies and Genetic Algorithms for Dynamic, IEEE Congress on Evolutionary
Computation. IEEE, 2005. p.1951 - 1951
36. LINS, A. P. E. S., LUDERMIR, T. B. Hybrid
Optimization Algorithm for the Definition of MLP Neural Network Architectures
and Weights, The Fifth International conference on Hybrid Intelligent
Systems (HIS'05), IEEE Computer Society, p.149 - 154
37. ZANCHETTIN, C., LUDERMIR, T. B. Hybrid Technique
for Artificial Neural Network Architecture and Weight Optimization, Lecture
Notes in Artificial Intelligence - PKDD 2005, v.3721. p.709 - 716
38. CAMPOS, P. G., LUDERMIR, T. B. Literal and
ProRulext: Algorithms for Rule Extraction of ANNs The Fifth
International conference on Hybrid Intelligent Systems (HIS'05), IEEE
Computer Society, p.143 - 148
39. CAMPOS, P. G., LUDERMIR, T. B. Literal Uma
Abordagem Pedagógica para Extração de Regras de RNAs, ENIA 2005,
p.1138 - 1141
40. VALENÇA, Mêuser Jorga da Silva, LUDERMIR, T. B.,
VALENÇA, A. C. B. Modelling of the rainfall-runoff relationship with artificial
neural network, The Fifth International conference on Hybrid
Intelligent Systems (HIS'05), IEEE Computer Society, p.548 - 550
41. ARNAUD, A. L., CUNHA, R. C., LUDERMIR, T. B.,
ADEODATO, P. J. L. Modelo Híbrido com Redes Neurais Artificiais e Técnicas
Não-Supervisionadas para o Problema de Credit Scoring, Anais do ENIA 2005,
p.922 - 931
42. LUDERMIR, T. B., LOPES, C., LUDERMIR, A. B.,
SOUTO, M. C. P.
Neural Network use for the Identification of Factors
Related to Common Mental, Lecture Notes in Computer Science 3696- ICANN 2005,
p.653 - 658
43. VALENÇA, M. J. S., LUDERMIR, T. B.
NEURODIARIO– UM MODELO MULTIVARIADO PARA
PREVISÃO DE VAZÕES MÉDIAS DIÁRIAS, Anais do Simpósio
Brasileiro de Recursos Hídricos. , 2005.
44. VALENÇA, Mêuser Jorga da Silva, LUDERMIR, T. B.,
VALENÇA, A. C. B. River Flow Forecasting for Reservoir management through
Neural Networks, The Fifth International conference on Hybrid
Intelligent Systems (HIS'05), IEEE Computer Society, p.545 - 547
45. VALENÇA, Mêuser Jorga da Silva, LUDERMIR, T. B.,
VALENCA, A. River Flow Forecasting with Constructive Neural Network, Lecture
Notes in Artificial Intelligence - AI 2005, v.3809. p.1031 - 1036
46. ZANCHETTIN, C., LUDERMIR, T. B. Sistemas Neurais Híbridos
para Reconhecimento de Padrões em Narizes Artificiais, Concurso de Teses e
Dissertações da SBC, 2005, p.47 - 52
47. ZANCHETTIN, C., LUDERMIR, T. B. Técnica Híbrida de
Otimização para Pesos e Arquiteturas de Redes Neurais Artificiais, ENIA
2005, p.902 - 911
48. VALENÇA, Mêuser Jorga da Silva, LUDERMIR, T. B. UM
MODELO NÃO LINEAR PARA AJUSTAR AS PREVISÕES
DE VAZÕES REALIZADAS POR MODELOS CONCEITUAIS, Anais do Simpósio
Brasileiro de Recursos Hídricos, 2005.
49. VALENÇA, M. J. S., LUDERMIR, T. B. A non-linear
constructive neural network technique for updating of river flow forecasts, Proceedings
of SBRN 2004. IEEE
Computer Society, 2004. v.1.
50. BENANTE, R. C., ARAÚJO, A., LUDERMIR, T. B.
Automatização na Escolha de Parâmetros para o Modelo Incremental GNG Usando
Algoritmos Genéticos, Anais do VIII SBRN. , 2004.
51. FERREIRA, A. A., LUDERMIR, T. B. Comparação de
arquiteturas de redes neurais artificiais para sistemas de reconhecimento de
padrões em narizes artificiais, Anais do VIII SBRN. , 2004.
52. ALMEIDA, M. B. DE, SOUTO, M. C. P., LUDERMIR, T.
B. Comparative Study of Connectionist Techniques for Implementing the Pattern
Recognition System of an Artificial Nose, Proceedings of IJCNN2004. IEEE
Computer Society, v.1. p.653 - 656
53. GOMES, A., CARVALHO, F. A. T., LUDERMIR, T. B.
Comparing Metrics in Fuzzy Clustering for Symbolic Data on SODAS format, Lectures
Notes in Artificial Intelligence - IBERAMIA 2004, v.3315. p.727 - 736
54. CORRÊA, R. F., LUDERMIR, T. B. Dimensionality
Reduction by Semantic Mapping, Proceedings of VIII SBRN. IEEE
Computer Society, 2004. v.1.
55. CORRÊA, R. F., LUDERMIR, T. B. Dimensionality
Reduction by Semantic Mapping in Text Categorization, Lectures Notes in
Computer Science - ICONIP 2004, v.3316. p.1032 - 1037
56. ZANCHETTIN, C., LUDERMIR, T. B. Evolving Fuzzy
Neural Networks Applied to Odor Recognition, Lectures Notes in Computer
Science - ICONIP 2004, v.3316, p.953 - 958
57. ZANCHETTIN, C., LUDERMIR, T. B. Evolving Fuzzy
Neural Networks Applied to Odor Recognition in an Artificial Nose, Proceedings
of IJCNN 2004. IEEE
Computer Society, p.675 - 680
58. CAMPOS, P. G., LUDERMIR, T. B. Extraindo Regras de
RNAs Treinadas Usando Duas Abordagens Distintas, Anais do VIII SBRN,
2004.
59. ZANCHETTIN, C., LUDERMIR, T. B. Filtro Wavelet
para Redução de Ruído e Compressão de Sinal em um Nariz Artificial, Anais do
VIII SBRN, 2004.
60. VALENÇA, Mêuser Jorga da Silva, LUDERMIR, T. B. Hydrological
forecasting and updating procedures for neural, Notes in Computer Science -
ICONIP 2004, v.3316, p.1304 - 1309
61. CAMPOS, P. G., OLIVEIRA, E. M. J., LUDERMIR, T.
B., ARAÚJO, Aluízio Fausto Ribeiro
MLP Networks for Classification and Prediction with
Rule Extraction Mechanism, Proceedings of IJCNN 2004. IEEE
Computer Society, p.1387 - 1392
62. LINS, A. P. E. S., LUDERMIR, T. B. Neighbor
Generation Mechanism Optimizing the Neural Network, Notes in Computer
Science - ICONIP 2004, v.3316, p.613 - 618
63. De Oliveira, W.R., SOUTO, M. C. P., LUDERMIR, T.
B. On the Computational Universality of NARX Neural Networks, Proceedings of
VIII SBRN. IEEE
Computer Society, 2004. v.1.
64. SANTOS, P. M., LUDERMIR, T. B., PRUDÊNCIO, R. B.
C. Seleção de Modelos de Previsão de Séries Temporais baseada em Informações de
Performance, Anais do VIII SBRN, 2004.
65. SANTOS, P. M., LUDERMIR, T. B., PRUDÊNCIO, R. B.
C. Selection of Time Series Forecasting Models based on Performance, Fourth
International Conference on Hybrid Intelligent Systems (HIS04). IEEE Computer Society, p.366 - 371
66. ZANCHETTIN, C., LUDERMIR, T. B. Sistemas Neurais
para Classificação de Odores em um Nariz Artificial, Anais do VIII SBRN,
2004.
67. PRUDÊNCIO, R. B. C., LUDERMIR, T. B. Using Machine
Learning Techniques to Combine Forecasting Methods, Lecture Notes in
Artificial Intelligence - AI 2004, v.3339. p.1122 - 1127
68. CORRÊA, R. F., LUDERMIR, T. B. Web Documents
Categorization using Neural Networks, Notes in Computer Science - ICONIP
2004, v.3316, p.758 - 763
69. ZANCHETTIN, C., LUDERMIR, T. B. A Neuro-Fuzzy
Model Applied to Odor Recognition in an Artificial Nose, Hybrid Intelligent
Systems, IOS Press, 2003. v.1. p.917 - 926
70. AMORIM, B., ZANCHETTIN, C., VASCONCELLOS, D.,
VASCONCELOS, G., LUDERMIR, T. B., ARAÚJO, A. Avaliação de um Modelo
Neuro-difuso para Classificação de Padrões, Seleção de Atributos e Extração de
Regras, Anais do IV ENIA, 2003.
71. ZANCHETTIN, C., LUDERMIR, T. B., YAMAZAKI, A.
Classification of Gases from the Petroliferous Industry by an Artificial Nose
with Neural Network, Proceedings of ICANN/ICONIP'03. , 2003. p.208 - 211
72. PRUDÊNCIO, R. B. C., LUDERMIR, T. B., CARVALHO, F.
A. T. Neural Network Hybrid Learning: Genetic Algorithms & Levenberg-Marquadt,
26th Annaul Conference of the Gesellschaft fur Klassifikation, 2002,
p.464 - 472
73. LUDERMIR, T. B., YAMAZAKI, A. Neural Networks for
Odor Recognition in Artificial Noses, IJCNN 2003, IEEE Computer
Society, p.143 - 148
74. LOPES, C., LUDERMIR, T. B., LUDERMIR, A. B. Rede
Neural Artificial e Regressão Logística: Uma abordagem comparativa para análise
de fatores relacionados a Transtornos Mentais Comuns, Anais do IV ENIA,
2003.
75. LOPES, C., LUDERMIR, T. B., LUDERMIR, A. B. Rede
Neural Artificial e Simulated Annealing: Uma alternativa à Regressão Logística
para identificação de fatores relacionados a Transtornos Mentais Comuns, Anais
do Simpósio Brasileiro de Automação Inteligente, 2003, p.207 - 212
76. PRUDÊNCIO, R. B. C., LUDERMIR, T. B., CARVALHO, F.
A. T. Seleção de Modelos de Séries Temporais Utilizando Meta-Protótipos,
Anais do IV ENIA, 2003.
77. PRUDÊNCIO, R. B. C., LUDERMIR, T. B. Selecting and
Ranking Time Series Models Using the NOEMON Approach, Lectures Notes in
Computer Science - ICANN/ICONIP'03, 2003.
78. ZANCHETTIN, C., LUDERMIR, T. B., Wavelet Filter
for Noise reduction and Signal Compression in an Artificial Nose International
Conference on Hybrid Intelligent Systems, IOS Press, 2003, p.907 –
916.
79. Lacerda, E. G. M. de, LUDERMIR, T. B., CARVALHO,
A. P. L. A Study of Crossvalidation and Holdout as Objective Functions for
Genetic Algorithms, VII Brazilian Symposium on Neural Networks, IEEE
Computer Society, 2002. v.1, p.118 – 123.
80. VANDERLEY FILHO, D., SANTOS, M. A., VALENÇA, M. J.
S., LUDERMIR, T. B. Apoio ao Diagnóstico de LER/DORT Utilizando um Modelo
Fuzzy, Anais VII SBRN, 2002, p.131 – 136.
81. CORRÊA, R. F., LUDERMIR, T. B. Categorização
Automática de Documentos: Estudo de Caso Anais VII SBRN, 2002, p.17
– 22.
82. OLIVEIRA, E. M. J., LUDERMIR, T. B. Comparando as
Redes NARX com o Modelo Random Walk na Previsão do IBOVESPA Anais VII SBRN,
2002, p.49 – 54.
83. OLIVEIRA, E. M. J., LUDERMIR, T. B. Forecasting
the IBOVESPA Using NARX Networks, Sixth International Conference on
Knowledge - Based Intelligent Information & Engineering Systems, 2002.
p.301 - 305
84. VANDERLEY FILHO, D., SILVA, A. F. D. E., VALENÇA,
M. J. S., LUDERMIR, T. B. Gerenciamento da Fila Única para Transplante de Órgãos
com Abordagem FUZZY, Terceiro Congresso de Lógica Aplicada à Tecnologia,
2002.
85. YAMAZAKI, A., LUDERMIR, T. B., SOUTO, M. C. P.
Global Optimization Methods for Designing and Training Neural Networks VII
Brazilian Symposium on Neural Networks, IEEE Computer Society, 2002, v.1,
p.136 – 141.
86. OLIVEIRA, J. C. M. DE, SOUTO, M. C. P., LUDERMIR,
T. B. Implemetação de Autômatos probabilísticos em Redes Neurais sem Pesos,
p.74 – 80.
87. DINIZ FILHO, J., LUDERMIR, T. B. Interação Modulatória
como Suporte à Modelagem das Bases Neurais da Decisão, Anais VII SBRN,
2002, p.81 - 92
88. De Oliveira, W.R., SOUTO, M. C. P., LUDERMIR, T.
B. Neural Turing Machines with Finite Memory VII Brazilian Symposium on
Neural Networks, IEEE Computer Society, 2002, v.1, p.67 - 72
89. VALENÇA, M. J. S., LUDERMIR, T. B. NeuroInflow:
The New Model to Forecast Average Monthly Inflow VII Brazilian Symposium on
Neural Networks, IEEE Computer Society, 2002, v.1, p.74 - 79
90. YAMAZAKI, A., LUDERMIR, T. B., SOUTO, M. C. P.
Optimization of neural networks weights and architectures for odor recognition
using simulated annealing, IJCNNIEEE Press, 2002. p.800 - 806
91. LOPES, C., LUDERMIR, T. B., SOUTO, M. C. P.,
LUDERMIR, A. B. Rede Neural Artificial para análise de fatores relacionados a
Transtornos Mentais Comuns Anais VII SBRN, 2002, p.43 - 48
92. VALENÇA, M. J. S., LUDERMIR, T. B. Redes Compostas
por Blocos de Regressões Sigmóides não Lineares com Aplicação na Classificação
de Tumores de Mama, Anais do II Congresso Brasileiro de Computação.
, 2002.
93. PRUDÊNCIO, R. B. C., LUDERMIR, T. B. Selection of
Models for Times Series Prediction via Meta-Learning, Second International
Conference on Hybrid Intelligent Systems. , 2002. p.74 - 83
94. VANDERLEI FILHO, D., VALENÇA, M. J. S., LUDERMIR,
T. B. Um Modelo de Previsão Baseado em Inteligência Artificial na Gestão de
Bibliotecas Universitárias, Anais do XII Seminário Nacional de Bibliotecas
Universitárias da América Latina e do Caribe. , 2002.
95. VANDERLEI FILHO, D., VALENÇA, M. J. S., LUDERMIR,
T. B., SILVA, G. P. F. Uma Proposta FUZZY na Avaliação de Desempenho de
Bibliotecas Universitárias Brasileiras, Anais do XII Seminário
Nacional de Bibliotecas Universitárias da América Latina e do Caribe. , 2002.
96. BARBOSA, M. S., LUDERMIR, T. B., SANTOS, M.,
SANTOS, F., SOUZA, J.E., MELO, C. P. Uma RBF para classificar gases da
indústria petrolífera Anais VII SBRN, 2002, p.125 – 130.
97. De Oliveira, W.R., DE SOUTO, M. C. P., LUDERMIR,
T. B. Agent-Environment Approach to the simulation of Turing Machines by Neural
Networks, IJCNN 2001, IEEE, v.1, p.612 – 620.
98. YAMAZAKI, A., LUDERMIR, T. B. Classificação de
Safras de Vinho por um Nariz Artificial com Redes Neurais, ENIA 2001,
p.1 – 10.
99. YAMAZAKI, A., LUDERMIR, T. B. Classification of
Vintages of Wines by an Artificial Nose with Neural Networks, ICONIP 2001,
IOS Press, p.184 – 187.
100. SOUTO, M. C. P., De Oliveira, W.R., LUDERMIR, T.
B. Computational Complexity and Pyramidal Architecture, ICONIP 2001, IOS
Press, p.1338 – 1343.
101. VALENÇA, M. J. S., LUDERMIR, T. B. Constructive
Neural Networks in Forecasting Weekly River Flow, ICCIMA – IEEE
2001, v.1, p.271 – 275.
102. PRUDÊNCIO, R., LUDERMIR, T. B. Design of Neural Networks
for Time Series Prediction Using Case-Initialized Genetic Algorithms ICONIP
2001, IOS Press, p.990 – 995.
103. VALENÇA, M. J. S., LUDERMIR, T. B. Efficient
Higher-order Constructive Neural Networks for Function Approximation ITCC
2001.
104. PRUDÊNCIO, R., LUDERMIR, T. B. Evolutionary
Design of Neural Networks: Application to River Flow Prediction, International
Conference on Artificial Intelligence and Applications. Acta Press, 2001,
p.56 – 61.
105. VALENÇA, M. J. S., LUDERMIR, T. B. Multivariate
Modelling of Water Resources Time Series Using Constructive Neural Networks,
V CBRN, 2001. p.163 – 168.
106. VALENÇA, Mêuser Jorga da Silva, LUDERMIR, T. B.
Previsão de Vazões de Longo Prazo Utilizando Redes Neurais,XVI Seminário
Nacional de Produção e Transmissão de Energia Elétrica, 2001. p.1 –
6.
107. VALENÇA, M. J. S., LUDERMIR, T. B. Redes
Compostas por Blocos de Regressões Sigmóides Não-lineares: Uma eficiente rede
de alta ordem com aplicações na previsão de séries temporais V CBRN,
2001. p.67 – 72.
108. VALENÇA, M. J. S., LUDERMIR, T. B.
Bankruptcy prediction by nonlinear sigmoidal
regression blocks networks, IJCNN 2000.
109. SOUZA, J. E. G., NETO, B. B., SANTOS, F. L., MELO,
C. P., SANTOS, M. S., LUDERMIR, T. B. Desenvolvimento de sensores de aroma
baseados em filmes de polipirrol,II Simpósio Nacional de Instrumentação
Agropecuária, 2000, p.91 - 101
110. SOUTO, M. C. P., LUDERMIR, T. B., CAMPOS, M. A.
Encoding of probabilistic automata into TAM-based Neural Networks, IJCNN
2000.
111. Lacerda, E. G. M. de, Carvalho, A. de, LUDERMIR,
T. B. Evolutionary Optmization of RBF Networks, VI Brazilian Symposium on
Neural Networks, IEEE Computer Society, 2000, v.1, p.219 – 224.
112. DINIZ FILHO, J., LUDERMIR, T. B. Modelling
modulatory aspects in association process Sixth Neural Computation and
Psichology Workshop-Perspectives in Neural Computing Series,
Springer-Verlag, 2000.
113. VALENÇA, M. J. S., LUDERMIR, T. B. Monthly steamlow
forecasting using an Neural Fuzzy Network Model, IJCNN 2000.
114. VALENÇA, M. J., LUDERMIR, T. B.Monthly streamflow
forecasting using an Neural Fuzzy Network Model VI Brazilian Symposium on
Neural Networks, IEEE Computer Society, 2000, v.1, p.117 – 119.
115. VALENÇA, M. J., LUDERMIR, T. B. Neural Networks
vs. PARMA Modelling: case studies of river flow prediction VI Brazilian
Symposium on Neural Networks, IEEE Computer Society, 2000, v.1, p.113
– 116.
116. VALENÇA, M. J. S., LUDERMIR, T. B. Neural
Networks vs. PARMA modelling: case studies of river flow prediction, IJCNN
2000.
117. SANTOS, F. L., SOUZA, J. E. G., SANTOS, M. S.,
LUDERMIR, T. B., NETO, B. B., SANTOS, C. G., MELO, C. P. Novo Nariz Artificial
Baseado a Tecnologia de Filmes Orgânicos Finos, VXXIII Encontro Nacional de
Física da Matéria Condensada, 2000. p.213 – 213.
118. SILVA, R. B. A., LUDERMIR, T. B. Obtaining
simplified rule bases by hybrid learning, Seventeenth International Conference
on Machine Learning, 2000.
119. De Oliveira, W.R., DE SOUTO, M. C. P., LUDERMIR,
T. B. On an alternative implementation of Turing Machine into a Neural Network,
International Conference on Intelligent Tecnologies. , 2000.
120. SANTOS, M. S., LUDERMIR, T. B., SANTOS, F. L.
Proposta de um Nariz Artificial com Inspiração Biológica VI Brazilian
Symposium on Neural Networks, 2000, v.2, p.1 – 10.
121. VALENÇA, M. J. S., LUDERMIR, T. B., VALENCA, A., VASCONCELOS,
I. Sistema de apoio à decisão para a operação hidráulica de Sobradinho
incorporando tendências macro-climáticas utilizando redes neurais, Simpósio
Nordestino de Recursos Hídricos. ABRH, 2000, p.07 – 17.
122. VALENÇA, M. J. S., LUDERMIR, T. B. Estratégia
Operacional de um Reservatório utlizando Redes Neurais e Algoritmos Genéticos,
CIER 99.
123.
VALENÇA, Mêuser Jorga da Silva, LUDERMIR, T. B. Multiplicative-additive neural
networks with active neurons, IJCNN 99, IEEE Computer Society.
124.
SILVA, R. B. A., LUDERMIR, T. B. Neural Netwoks Methods for Rule Induction, IJCNN
99, IEEE Computer Society.
125. VALENÇA, M. J. S., LUDERMIR, T. B. Redes Neurais
na Previsão de CIER 99.
126. BARROS, M. M., LUDERMIR, T. B., VALADARES, J. L.
F. Rule extraction from boolean artificial neural networks, IJCNN 99,
IEEE Computer Society.
127. VALENÇA, M. J. S., LUDERMIR, T. B.
Self-organization sigmoidal blocks networks, IJCNN 99, IEEE Computer
Society.
128. VALENÇA, M. J. S, LUDERMIR, T. B. Self-organization
sigmoidal blocks networks, ICCIMA'99, IEEE Computer Society, p.60
– 64.
129. VALENÇA, M. J. S, LUDERMIR, T. B. Uma Rede Neural
Construtiva com Atualização Dinâmica dos Pesos, IV CBRN , 1999, p.114 -
117
130.
SANTOS, M. S., LUDERMIR, T. B. Using Factorial Design to Optmise Neural Networks, IJCNN 99, IEEE
Computer Society.
131. SOUZA, J. E. G., NETO, B.B., SANTOS, F. L., MELO,
C. P., LUDERMIR, T. B.
Desenvolvimento de Sensores de Aroma Baseados Em Filmes
de Polypirrol, II Simpósio Nacional de Instrumentação Agropecuária,
1998. p.3.
132. NOBRE, C. N., BRAGA, A. P., CARVALHO, A. P. L.,
LUDERMIR, T. B. Extração de Conhecimento: Uma Comparação Entre Os Métodos
Clássico e Conexionista V Brazilian Symposium on Neural Networks, 1998,
v.2, p.126 – 131.
133. BARROS, M. M., SOUZA, G. M., LUDERMIR, T. B.
Extração de Regras Em Uma Rede Neural Booleana Utilizando O Modelo RAM, V
Brazilian Symposium on Neural Networks, 1998, v.2, p.121 – 125.
134. LUDERMIR, T. B., De Oliveira, W.R. Extractin
Rules From Boolean Neural Networks ICONIP98, IOS Press, 1998. v.3.
p.1666 – 1669.
135. LUDERMIR, T. B. Extracting Rules From Feedforward
Boolean Neural Networks, V Brazilian Symposium on Neural Networks, IEEE
Computer Society, 1998, v.1, p.61 – 66.
136. BARROS, M. M., SOUZA, G. G., LUDERMIR, T. B.
Features Extraction on Boolean Artificial Neural Networks, 3rd International
Conference on Computation Intelligence and Neural Science. Association for Intelligent Machinery, 1998. p.99
– 102.
137. SANTOS, F. L., MELO, C. P., SOUZA, J. E. G.,
SANTOS, M. S., LUDERMIR, T. B. Nariz Eletrônico À Base de Polypirrol Condutor, XVI
Encontro de Físicos do Norte e Nordeste, 1998.
138. SOUZA, J. E. G., NETO, B. B., SANTOS, F. L., PINTO
DE MELO, C., SANTOS, F. L., LUDERMIR, T. B. Polypyrrole Based Aroma Sensor, International
Conference of Synthetic Metals, 1998, p.137.
139. VALENÇA, M. J., LUDERMIR, T. B. Previsão de
Demanda Máxima Mensal Utilizando Um Modelo Auto-Organizável, V Brazilian
Symposium on Neural Networks, 1998, v.2, p.311 – 314.
140. VALENÇA, Mêuser Jorga da Silva, LUDERMIR, T. B.
Self-Organizing Modeling in Forecasting Daily River Flows V Brazilian
Symposium on Neural Networks, 1998, v.2, p.210 – 214.
141. VALENÇA, Mêuser Jorga da Silva, LUDERMIR, T. B.
Uma Nova Rede Neural Polinominal Com Aplicação Na Previsão de Vazões V
Brazilian Symposium on Neural Networks, 1998, v.2, p.273 – 278.
142. SANTOS, M. S., LUDERMIR, T. B., SANTOS, F. L., PINTO
DE MELO, C., GOMES, J. E. Usando Um Nariz Artificial Para Reconhecer Safras de
Vinho, V Brazilian Symposium on Neural Networks, 1998, v.2, p.253
– 258.
143. MEDEIROS, C. A., LUDERMIR, T. B., De Oliveira, W.R.
Avaliação do Aprendizado de Caracteres Em Redes Neurais Sem Pesos, III Simpósio
Brasileiro de Automação Inteligente, 1997, p.388 – 393.
144. SANTOS, M. S., LUDERMIR, T. B. Construção de Um
Nariz Artificial Usando Redes Neurais, IV Brazilian Symposium on Neural
Networks, 1997, v.2, p.71 – 73.
145. DE LIMA NETO, F. B., SANTOS, M. S., LUDERMIR, T.
B. Estudo Comparativo de Desempenho das Topologias de Redes Neurais: MLP e
Cascade-Correlation Em Problemas Reais de Classificação, III CBRN, 1997,
p. 493 – 498.
146. LUDERMIR, T. B., De Oliveira, W.R. Extração de
Regras de Redes Booleanas Com Realimentação IV Brazilian Symposium on Neural
Networks, 1997, p.112 – 114.
147. LUDERMIR, T. B., De Oliveira, W.R., SANTOS, A. Q.
Implementação Neural de Um Analisador Sintático, III CBRN, 1997, p.244
– 249.
148. DE LIMA NETO, F. B., LUDERMIR, T. B. Suporte A
Decisão Para A Colheita de Cana de Açúcar, IV Brazilian Symposium on Neural
Networks, 1997, p.27 – 31.
149. LUDERMIR, T. B., CARVALHO, E. B., VASCONCELOS, G.
C., BORGES, D. L. Redes Neurais: Filosofia, Teoria, Modelagem e Aplicações, Apostila
do curso ministrado na Jornada de Atualização em Informática do Congresso da
SBC, 1996.
150. LUDERMIR, T. B., De Oliveira, W.R., SANTOS, A. Q.
Um Analisador Sintático Neural Para O Pascal, III Brazilian Symposium on
Neural Networks, 1996.
151. SILVA, S. L., LUDERMIR, T. B. A Adequacidade de
Uma Nova Rede Ram-Based Recorrente Para Reconhecimento de Sentenças de
Linguagens Regulares. II Brazilian Symposium on Neural Networks, 1995.
p.153 – 158.
152. MEDEIROS, C. A., LUDERMIR, T. B. Avaliação do
Aprendizado de Redes Neurais Sem Pesos. II Brazilian
Symposium on Neural Networks, 1995.
p.159 – 164.
153. SILVA, S. L., LUDERMIR, T. B. Implementing Finite
State Automata In Recurrent Ram-Based Networks. ICANN95. , 1995. p.461
– 466.
154. SOUTO, M. C. P., GUIMARÃES, K. S., LUDERMIR, T.
B. Learning And Generalization In Pyramidal Architectures, II Simpósio
Brasileiro de Automação Inteligente, 1995. p.225 – 230.
155. SOUTO, M. C. P., GUIMARÃES, K. S., LUDERMIR, T.
B. On The Intractability of Loading Pyramidal Arquitectures, International
Conference Artificial Neural Networks-IEE, 1995, p.189 – 194.
156. SILVA, S. L., LUDERMIR, T. B. Regular Language Recognition
By Recurrent RAM-Based Networks, Fifth Irish Neural Network Conference,
1995.
157. LUDERMIR, T. B., De Oliveira, W.R. Taxonomy And
Description Of Weightless Neural Systems, SEMISH'95 / CLEI'95, 1995,
p.825 – 837.
158. SOUTO, M. C. P., GUIMARÃES, K. S., LUDERMIR, T.
B. Issues on The Complexity of Training Weightless Neural Networks, I CBRN,
1994. p. 9 – 14.
159. LUDERMIR, T. B., De Oliveira, W.R. Automata And
Weightless Neural Networks, Conferência Latina Americana de Informática,
1993. p. 89 – 105.
160. LUDERMIR, T. B. Computability and Learnability of
Artificial Neural Networks. I Simpósio Brasileiro de Automação Inteligente, 1993. p.1 – 9.
161. LUDERMIR, T. B. Learning Algorithms for Cut-Point
Neural Networks, X SBIA, 1993. p.433 – 443.
162. LUDERMIR, T. B., De Oliveira, W.R. Training
Strategies For Weightless Neural Networks, IJCNN 93, IEEE Computer
Society, p.2731 – 2734.
163. LUDERMIR, T. B. Logical Networks Capable of
Computing Weighted Regular Languages. IJCNN 91, IEEE
Computer Society, p.1687 – 1692.
164. LUDERMIR, T. B. Logical Neural Nets And
Distributed Implementations Of Weighted Regular Languages. Second
International Conference on Artificial Neural Networks. IEEE Computer
Society, 1991. p.158 – 162.
165. LUDERMIR, T. B. Relating Logical Neural Networks
to Conventional Models of Computation, IJCNN 91. IEEE Computer Society,
p.101 – 104.
166. LUDERMIR, T. B. Stability And Temporal Pattern
Recognition. IJCNN 90. IEEE Computer Society, p.428 – 431.