teresa ludermir
teresa ludermir
Professor of Computer Science, Universidade Federal de Pernambuco
Verified email at cin.ufpe.br
Cited by
Cited by
Redes neurais artificiais: teoria e aplicações
AP Braga
Livros Técnicos e Científicos, 2000
Clustering cancer gene expression data: a comparative study
MCP de Souto, IG Costa, DSA de Araujo, TB Ludermir, A Schliep
BMC bioinformatics 9 (1), 497, 2008
An optimization methodology for neural network weights and architectures
TB Ludermir, A Yamazaki, C Zanchettin
IEEE Transactions on Neural Networks 17 (6), 1452-1459, 2006
Forecasting models for interval-valued time series
ALS Maia, FAT de Carvalho, TB Ludermir
Neurocomputing 71 (16-18), 3344-3352, 2008
Weightless neural models: a review of current and past works
TB Ludermir, A Carvalho, AP Braga, MD Souto
Neural Computing Surveys 2, 41-61, 1999
Meta-learning approaches to selecting time series models
RBC Prudêncio, TB Ludermir
Neurocomputing 61, 121-137, 2004
A multiple kernel learning algorithm for drug-target interaction prediction
ACA Nascimento, RBC Prudêncio, IG Costa
BMC bioinformatics 17 (1), 46, 2016
Time series based link prediction
PR da Silva Soares, RBC Prudêncio
The 2012 international joint conference on neural networks (IJCNN), 1-7, 2012
A multi-objective memetic and hybrid methodology for optimizing the parameters and performance of artificial neural networks
LM Almeida, TB Ludermir
Neurocomputing 73 (7-9), 1438-1450, 2010
Ranking and selecting clustering algorithms using a meta-learning approach
MCP De Souto, RBC Prudencio, RGF Soares, DSA De Araujo, IG Costa, ...
2008 IEEE International Joint Conference on Neural Networks (IEEE World …, 2008
Fundamentos de redes neurais artificiais
AP Braga, A Carvalho, TB Ludemir
Rio de Janeiro: 11a Escola de Computação, 1998
Redes neurais artificiais
AP Braga, A Carvalho, TB Ludermir
Teoria e Aplicaçoes, 2000
Impact of missing data imputation methods on gene expression clustering and classification
MCP De Souto, PA Jaskowiak, IG Costa
BMC bioinformatics 16 (1), 64, 2015
Particle swarm optimization of neural network architectures andweights
M Carvalho, TB Ludermir
7th International Conference on Hybrid Intelligent Systems (HIS 2007), 336-339, 2007
Optimization of neural network weights and architectures for odor recognition using simulated annealing
A Yamazaki, MCP De Souto, TB Ludermir
Proceedings of the 2002 International Joint Conference on Neural Networks …, 2002
Turtle: Identifying frequent k -mers with cache-efficient algorithms
RS Roy, D Bhattacharya, A Schliep
Bioinformatics 30 (14), 1950-1957, 2014
Quantum perceptron over a field and neural network architecture selection in a quantum computer
AJ da Silva, TB Ludermir, WR de Oliveira
Neural Networks 76, 55-64, 2016
Redes neurais artificiais: teoria e aplicações
A de Pádua Braga, ACP de Leon Ferreira, TB Ludermir
LTC Editora, 2007
Many objective particle swarm optimization
EMN Figueiredo, TB Ludermir, CJA Bastos-Filho
Information Sciences 374, 115-134, 2016
A literature review of recommender systems in the television domain
D Véras, T Prota, A Bispo, R Prudêncio, C Ferraz
Expert Systems with Applications 42 (22), 9046-9076, 2015
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