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Teresa Bernarda Ludermir

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

125

Venues

13

Active years

1998–2025

Best venue rank

A*

Where they publish

Papers

125 indexed papers, newest first.

YearVenueTitleAuthors
2025CECGrammar-based Evolutionary Approaches for Software Effort Estimation.Mrcio P. Basgalupp, Rodrigo C. Barros, Ricardo Cerri, Ferrante Neri, Pricles B. C. Miranda, Teresa Bernarda Ludermir
2025SACData Balancing for Mitigating Sampling Bias in Machine Learning.Ronaldo Inocncio Jnior, Mrcio P. Basgalupp, Teresa Bernarda Ludermir, Ana Carolina Lorena
2025SACNetwork-based instance hardness measures for classification problems.Gustavo P. Torquette, Mrcio P. Basgalupp, Teresa Bernarda Ludermir, Ana Carolina Lorena
2024IJCNNA Neuromorphic Architecture for Reinforcement Learning from Real-Valued Observations.Srgio F. Chevtchenko, Yeshwanth Bethi, Teresa Bernarda Ludermir, Saeed Afshar
2021IJCNNEntropic Out-of-Distribution Detection.David L. Macdo, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, Teresa Bernarda Ludermir
2021IJCNNQuantum One-class Classification With a Distance-based Classifier.Nicolas M. de Oliveira, Lucas P. de Albuquerque, Wilson Rosa de Oliveira, Teresa Bernarda Ludermir, Adenilton J. da Silva
2020CECAn Evaluation on Competitive and Cooperative Evolutionary Algorithms for Data Clustering.Luciano D. S. Pacfico, Teresa Bernarda Ludermir
2020IJCNNLearning from Sparse and Delayed Rewards with a Multilayer Spiking Neural Network.Srgio F. Chevtchenko, Teresa Bernarda Ludermir
2020IDEALOn Analysing Similarity Knowledge Transfer by Ensembles.Danilo Pereira, Flvio Arthur O. Santos, Leonardo N. Matos, Paulo Novais, Cleber Zanchettin, Teresa Bernarda Ludermir
2019IJCNNAnalyzing the impact of data representations in classification problems using clustering.Felipe Costa Farias, Teresa Bernarda Ludermir, Carmelo J. A. Bastos Filho, Flvio Rosendo Da Silva Oliveira
2019IJCNNHybrid K-Means and Improved Self-Adaptive Particle Swarm Optimization for Data Clustering.Luciano D. S. Pacfico, Teresa Bernarda Ludermir
2018CECPopulation Size Control for Efficiency and Efficacy Optimization in Population Based Metaheuristics.Marcelo Gomes Pereira de Lacerda, Hugo Deandrade Amorim Neto, Teresa Bernarda Ludermir, Herbert Kuchen, Fernando Buarque de Lima Neto
2018CECSSDP+: A Diverse and More Informative Subgroup Discovery Approach for High Dimensional Data.Tarcsio Lucas, Renato Vimieiro, Teresa Bernarda Ludermir
2018CECAlternative Population Initialization Schemes for Group Search Optimization for Data Clustering.Luciano D. S. Pacfico, Teresa Bernarda Ludermir
2018IJCNNSegNetRes-CRF: A Deep Convolutional Encoder-Decoder Architecture for Semantic Image Segmentation.Luiz Antonio de Oliveira Junior, Heitor R. Medeiros, David Macedo, Cleber Zanchettin, Adriano L. I. Oliveira, Teresa Bernarda Ludermir
2018IJCNNQuantum Perceptron with Dynamic Internal Memory.Fernando M. de Paula Neto, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira, Adenilton J. da Silva
2018IJCNNHybrid K-Means and Improved Group Search optimization Methods for Data Clustering.Luciano D. S. Pacfico, Teresa Bernarda Ludermir
2018IJCNNReducing SqueezeNet Storage Size with Depthwise Separable Convolutions.Aline Gondim Santos, Camila Oliveira de Souza, Cleber Zanchettin, David Macedo, Adriano L. I. Oliveira, Teresa Bernarda Ludermir
2018IJCNNUsing Meta-learning in the Selection of the Combination Method of a Classifier Ensemble.Robercy Alves da Silva, Anne Magly de Paula Canuto, Joo Carlos Xavier Junior, Teresa Bernarda Ludermir
2015IJCNNDifferential evolution and meta-learning for dynamic ensemble of neural network classifiers.Tiago P. F. de Lima, Teresa Bernarda Ludermir
2015SMCExtreme Learning Machine for Real Time Recognition of Brazilian Sign Language.Fernando M. de Paula Neto, Lucas F. S. Cambuim, Rafael M. Macieira, Teresa Bernarda Ludermir, Cleber Zanchettin, Edna Natividade da Silva Barros
2014ESANNIterative ARIMA-multiple support vector regression models for long term time series prediction.Joo F. L. Oliveira, Teresa Bernarda Ludermir
2014ESANNVector space weightless neural networks.Wilson Rosa de Oliveira, Adenilton J. da Silva, Teresa Bernarda Ludermir
2014ESANNTraining a classical weightless neural network in a quantum computer.Adenilton J. da Silva, Wilson Rosa de Oliveira, Teresa Bernarda Ludermir
2014ESANNProbabilistic automata simulation with single layer weightless neural networks.Adenilton J. da Silva, Wilson Rosa de Oliveira, Teresa Bernarda Ludermir
2014IJCNNEnsembles of evolutionary Extreme Learning Machines through differential evolution and Fitness Sharing.Tiago P. F. de Lima, Teresa Bernarda Ludermir
2014IJCNNReservoir Computing optimization with a hybrid method.Anderson Tenrio Sergio, Teresa Bernarda Ludermir
2014SMCImproving reservoir based wind power forecasting with ensembles.Ronaldo Ribeiro Barbosa de Aquino, Teresa Bernarda Ludermir, Aida Araujo Ferreira, Otoni Nbrega Neto, Ramon B. Souza, Milde M. S. Lira, Manoel A. Carvalho
2014SMCA distributed PSO-ARIMA-SVR hybrid system for time series forecasting.Joo Fausto Lorenzato de Oliveira, Teresa Bernarda Ludermir
2013CECUsing good and bad diversity measures in the design of ensemble systems: A genetic algorithm approach.Antonino Feitosa Neto, Anne M. P. Canuto, Teresa Bernarda Ludermir
2013CECCooperative Group Search Optimization.Luciano D. S. Pacfico, Teresa Bernarda Ludermir
2013IJCNNForecasting models of wind power in Northeastern of Brazil.Ronaldo Ribeiro Barbosa de Aquino, Teresa Bernarda Ludermir, Otoni Nbrega Neto, Aida Araujo Ferreira, Milde M. S. Lira, Manoel A. Carvalho
2013IJCNNEvolutionary extreme learning machine based on particle swarm optimization and clustering strategies.Luciano D. S. Pacfico, Teresa Bernarda Ludermir
2013IJCNNActive selection of training instances for a random forest meta-learner.Arthur F. M. Sousa, Ricardo B. C. Prudncio, Carlos Soares, Teresa Bernarda Ludermir
2013ICTAIOptimizing Dynamic Ensemble Selection Procedure by Evolutionary Extreme Learning Machines and a Noise Reduction Filter.Tiago Pessoa Ferreira de Lima, Teresa Bernarda Ludermir
2013ICTAIClustering and Selection Using Grouping Genetic Algorithms for Blockmodeling to Construct Neural Network Ensembles.Evandro Jose Da Rocha E. Silva, Teresa Bernarda Ludermir, Leandro Maciel Almeida
2012ICANNA Modified Artificial Fish Swarm Algorithm for the Optimization of Extreme Learning Machines.Joo Fausto Lorenzato de Oliveira, Teresa Bernarda Ludermir
2012ICANNPSO for Reservoir Computing Optimization.Anderson Tenrio Sergio, Teresa Bernarda Ludermir
2012IJCNNComparing recurrent networks for time-series forecasting.Aida Araujo Ferreira, Teresa Bernarda Ludermir, Ronaldo Ribeiro Barbosa de Aquino
2012IJCNNApplication of the IPSONet in face detection.Elliackin M. N. Figueiredo, Rafael G. Mesquita, Teresa Bernarda Ludermir, George D. C. Cavalcanti
2012IJCNNClustering and selection of neural networks using adaptive differential evolution.Tiago P. F. de Lima, Adenilton J. da Silva, Teresa Bernarda Ludermir
2012IJCNNOdor recognition systems for natural gas odorization monitoring.Cleber Zanchettin, Leandro M. Almeida, Frederico D. Menezes, Teresa Bernarda Ludermir, Walter M. Azevedo
2012SMCImproved group search optimization based on opposite populations for feedforward networks training with weight decay.Luciano D. S. Pacfico, Teresa Bernarda Ludermir
2011CECFrankenstein PSO applied to neural network weights and architectures.Natalia Flora de Lima, Teresa Bernarda Ludermir
2011CECAn evolutionary extreme learning machine based on group search optimization.Danielle N. G. Silva, Luciano D. S. Pacfico, Teresa Bernarda Ludermir
2011HAISCombining Meta-learning and Active Selection of Datasetoids for Algorithm Selection.Ricardo Bastos Cavalcante Prudncio, Carlos Soares, Teresa Bernarda Ludermir
2011ICANNUncertainty Sampling-Based Active Selection of Datasetoids for Meta-learning.Ricardo Bastos Cavalcante Prudncio, Carlos Soares, Teresa Bernarda Ludermir
2011IJCNNComparing evolutionary methods for reservoir computing pre-training.Aida Araujo Ferreira, Teresa Bernarda Ludermir
2011IJCNNUncertainty sampling methods for selecting datasets in active meta-learning.Ricardo Bastos Cavalcante Prudncio, Carlos Soares, Teresa Bernarda Ludermir
2011IJCNNA tool to implement probabilistic automata in RAM-based neural networks.Marcilio C. P. de Souto, Jos Carlos Martins Oliveira, Teresa Bernarda Ludermir
2011ICTAIHomogeneous Ensemble Selection through Hierarchical Clustering with a Modified Artificial Fish Swarm Algorithm.Joo Fausto Lorenzato de Oliveira, Teresa Bernarda Ludermir
2011SMCImproved Group Search Optimizer based on cooperation among groups for feedforward networks training with Weight Decay.Danielle N. G. Silva, Luciano D. S. Pacfico, Teresa Bernarda Ludermir
2010IJCNNEvolutionary strategy for simultaneous optimization of parameters, topology and reservoir weights in Echo State Networks.Aida Araujo Ferreira, Teresa Bernarda Ludermir
2010IJCNNTopology optimization for artificial neural networks using differential evolution.Nicole L. Mineu, Teresa Bernarda Ludermir, Leandro M. Almeida
2009ICANNActive Generation of Training Examples in Meta-Regression.Ricardo Bastos Cavalcante Prudncio, Teresa Bernarda Ludermir
2009ICANNAn Analysis of Meta-learning Techniques for Ranking Clustering Algorithms Applied to Artificial Data.Rodrigo G. F. Soares, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho
2009ICANNA Two Stage Clustering Method Combining Self-Organizing Maps and Ant K-Means.Jefferson R. Souza, Teresa Bernarda Ludermir, Leandro M. Almeida
2009ICANNHybrid Systems for River Flood Forecasting Using MLP, SOM and Fuzzy Systems.Ivna Valena, Teresa Bernarda Ludermir
2009IJCNNGenetic algorithm for reservoir computing optimization.Aida Araujo Ferreira, Teresa Bernarda Ludermir
2009IJCNNNeural networks with asymmetric activation function for function approximation.Gecynalda Soares da Silva Gomes, Teresa Bernarda Ludermir, Leandro M. Almeida
2009ISDACombining Uncertainty Sampling Methods for Active Meta-Learning.Ricardo Bastos Cavalcante Prudncio, Teresa Bernarda Ludermir
2009ISDAOptimization of Neural Networks Weights and Architecture: A Multimodal Methodology.Antonio Miguel F. Zarth, Teresa Bernarda Ludermir
2008HAISAn Evolutionary Approach for Tuning Artificial Neural Network Parameters.Leandro M. Almeida, Teresa Bernarda Ludermir
2008HISTuning Artificial Neural Networks Parameters Using an Evolutionary Algorithm.Leandro M. Almeida, Teresa Bernarda Ludermir
2008HISImproved Semantic Mapping and SOM Applied to Document Organization.Renato Fernandes Corra, Teresa Bernarda Ludermir
2008HISUsing Reservoir Computing for Forecasting Time Series: Brazilian Case Study.Aida Araujo Ferreira, Teresa Bernarda Ludermir
2008HISComplementary Log-Log and Probit: Activation Functions Implemented in Artificial Neural Networks.Gecynalda Soares da Silva Gomes, Teresa Bernarda Ludermir
2008ICANNPredicting the Performance of Learning Algorithms Using Support Vector Machines as Meta-regressors.Silvio B. Guerra, Ricardo Bastos Cavalcante Prudncio, Teresa Bernarda Ludermir
2008IJCNNAn improved method for automatically searching near-optimal artificial Neural Networks.Leandro M. Almeida, Teresa Bernarda Ludermir
2008IJCNNInvestigating the use of Reservoir Computing for forecasting the hourly wind speed in short -term.Aida Araujo Ferreira, Teresa Bernarda Ludermir, Ronaldo Ribeiro Barbosa de Aquino, Milde M. S. Lira, Otoni Nbrega Neto
2008IJCNNActive Meta-Learning with Uncertainty Sampling and Outlier Detection.Ricardo Bastos Cavalcante Prudncio, Teresa Bernarda Ludermir
2008IJCNNEvolving both size and accuracy of RBF networks using Memetic Algorithm.Kelly P. Silva, Rodrigo G. F. Soares, Francisco de A. T. de Carvalho, Teresa Bernarda Ludermir
2008IJCNNAn evolutionary approach for the clustering data problem.Rodrigo G. F. Soares, Kelly P. Silva, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho
2008IJCNNComparative study on normalization procedures for cluster analysis of gene expression datasets.Marclio Carlos Pereira de Souto, Daniel S. A. de Araujo, Ivan G. Costa, Rodrigo G. F. Soares, Teresa Bernarda Ludermir, Alexander Schliep
2008IJCNNRanking and selecting clustering algorithms using a meta-learning approach.Marclio Carlos Pereira de Souto, Ricardo Bastos Cavalcante Prudncio, Rodrigo G. F. Soares, Daniel S. A. de Araujo, Ivan G. Costa, Teresa Bernarda Ludermir, Alexander Schliep
2008IJCNNFeature subset selection in a methodology for training and improving artificial neural network weights and connections.Cleber Zanchettin, Teresa Bernarda Ludermir
2008SACSemantic mapping and K-means applied to hybrid SOM-based document organization system construction.Renato Fernandes Corra, Teresa Bernarda Ludermir
2007ESANNAutomatically searching near-optimal artificial neural networks.Leandro M. Almeida, Teresa Bernarda Ludermir
2007HISParticle Swarm Optimization of Neural Network Architectures andWeights.Marcio Carvalho, Teresa Bernarda Ludermir
2007HISApplication of a Hybrid Classifier to the Recognition of Petrochemical Odors.Eleonora Ma. Jesus Oliveira, Paulemir G. Campos, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho, Wilson Rosa de Oliveira
2007HISActive Selection of Training Examples for Meta-Learning.Ricardo Bastos Cavalcante Prudncio, Teresa Bernarda Ludermir
2007ICANNActive Learning to Support the Generation of Meta-examples.Ricardo Bastos Cavalcante Prudncio, Teresa Bernarda Ludermir
2007IJCNNAnalysis of mammogram using self-organizing neural networks based on spatial isomorphism.Aida Araujo Ferreira, Francisco Nascimento Jr., Ing Ren Tsang, George D. C. Cavalcanti, Teresa Bernarda Ludermir, Ronaldo Ribeiro Barbosa de Aquino
2007IJCNNComparison of the Effectiveness of Different Cost Functions in Global Optimization Techniques.Cleber Zanchettin, Teresa Bernarda Ludermir
2006CECEFuNNs Ensembles Construction Using a Clustering Method and a Coevolutionary Genetic Algorithm.Fernanda L. Minku, Teresa Bernarda Ludermir
2006HISA Hybrid Method for Searching Near-Optimal Artificial Neural Networks.Leandro M. Almeida, Teresa Bernarda Ludermir
2006HISParticle Swarm Optimization of Feed-Forward Neural Networks with Weight Decay.Marcio Carvalho, Teresa Bernarda Ludermir
2006ICANNA Machine Learning Approach to Define Weights for Linear Combination of Forecasts.Ricardo Bastos Cavalcante Prudncio, Teresa Bernarda Ludermir
2006ICONIPHybrid Training of Feed-Forward Neural Networks with Particle Swarm Optimization.Marcio Carvalho, Teresa Bernarda Ludermir
2006ICONIPFeature Selection for Neural Networks Through Binomial Regression.Gecynalda Soares da Silva Gomes, Teresa Bernarda Ludermir
2006ICONIPA Hybrid Model for Symbolic Interval Time Series Forecasting.Andr Luis Santiago Maia, Francisco de A. T. de Carvalho, Teresa Bernarda Ludermir
2006ICONIPEFuNN Ensembles Construction Using a Clustering Method and a Coevolutionary Multi-objective Genetic Algorithm.Fernanda L. Minku, Teresa Bernarda Ludermir
2006IJCNNHybrid model with dynamic architecture for forecasting time series.Gecynalda Soares da Silva Gomes, Andr Luis Santiago Maia, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho, Aluzio F. R. Arajo
2006IJCNNA methodology to train and improve artificial neural networks' weights and connections.Cleber Zanchettin, Teresa Bernarda Ludermir
2005CECEvolutionary strategies and genetic algorithms for dynamic parameter optimization of evolving fuzzy neural networks.Fernanda L. Minku, Teresa Bernarda Ludermir
2005HISLiteral and ProRulext: Algorithms for Rule Extraction of ANNs.Paulemir G. Campos, Teresa Bernarda Ludermir
2005HISHybrid Optimization Algorithm for the Definition of MLP Neural Network Architectures and Weights.Amanda Pimentel e Silva Lins, Teresa Bernarda Ludermir
2005HISRiver Flow Forecasting for Reservoir management through Neural Networks.Muser Jorge Silva Valena, Teresa Bernarda Ludermir, Anelle Valena
2005HISModeling of the rainfall-runoff relationship with artificial neural network.Muser Jorge Silva Valena, Teresa Bernarda Ludermir, Anelle Valena
2005HISDesign of Experiments in Neuro-Fuzzy Systems.Cleber Zanchettin, Fernanda L. Minku, Teresa Bernarda Ludermir
2005ICANNComparing Neural Network Architecture for Pattern Recognize System on Artificial Noses.Aida Araujo Ferreira, Teresa Bernarda Ludermir, Ronaldo Ribeiro Barbosa de Aquino
2005ICANNNeural Network Use for the Identification of Factors Related to Common Mental Disorders.Teresa Bernarda Ludermir, C. R. S. Lopes, A. B. Ludermir, Marclio Carlos Pereira de Souto
2005IJCNNA comparative study of neural network to artificial noses.Aida Araujo Ferreira, Teresa Bernarda Ludermir, Ronaldo Ribeiro Barbosa de Aquino
2004HISSelection of Time Series Forecasting Models based on Performance Information.Patrcia Maforte dos Santos, Teresa Bernarda Ludermir, Ricardo Bastos Cavalcante Prudncio
2004ICONIPWeb Documents Categorization Using Neural Networks.Renato Fernandes Corra, Teresa Bernarda Ludermir
2004ICONIPDimensionality Reduction by Semantic Mapping in Text Categorization.Renato Fernandes Corra, Teresa Bernarda Ludermir
2004ICONIPA Neighbor Generation Mechanism Optimizing Neural Networks.Amanda Pimentel e Silva Lins, Teresa Bernarda Ludermir
2004ICONIPHydrological Forecasting and Updating Procedures for Neural Network.Muser Jorge Silva Valena, Teresa Bernarda Ludermir
2004ICONIPEvolving Fuzzy Neural Networks Applied to Odor Recognition.Cleber Zanchettin, Teresa Bernarda Ludermir
2004IJCNNComparative study of connectionist techniques for implementing the pattern recognition system of an artificial nose.Marcelo B. de Almeida, Marcilio C. P. de Souto, Teresa Bernarda Ludermir
2004IJCNNMLP networks for classification and prediction with rule extraction mechanism.Paulemir G. Campos, Eleonora Ma. Jesus Oliveira, Teresa Bernarda Ludermir, Aluzio F. R. Arajo
2004IJCNNEvolving fuzzy neural networks applied to odor recognition in an artificial nose.Cleber Zanchettin, Teresa Bernarda Ludermir
2003HISWavelet Filter for Noise Reduction and Signal Compression in an Artificial Nose.Cleber Zanchettin, Teresa Bernarda Ludermir
2003HISA Neuro-Fuzzy Model Applied to Odor Recognition in an Artificial Nose.Cleber Zanchettin, Teresa Bernarda Ludermir
2003ICANNSelecting and Ranking Time Series Models Using the NOEMON Approach.Ricardo Bastos Cavalcante Prudncio, Teresa Bernarda Ludermir
2003IJCNNNeural networks for odor recognition in artificial noses.Teresa Bernarda Ludermir, Akio Yamazaki
2002HISSelection of Models for Time Series Prediction via Meta-Learning.Ricardo Bastos Cavalcante Prudncio, Teresa Bernarda Ludermir
2000ICMLObtaining Simplified Rule Bases by Hybrid Learning.Ricardo Bezerra de Andrade e Silva, Teresa Bernarda Ludermir
2000IJCNNEncoding of Probabilistic Automata into RAM-Based Neural Networks.Marclio Carlos Pereira de Souto, Teresa Bernarda Ludermir, Marclia A. Campos
1999IJCNNRule extraction from Boolean artificial neural networks.Marcelo M. de Barros, Jeferson L. F. Valadares, Teresa Bernarda Ludermir
1999IJCNNUsing factorial design to optimise neural networks.Marizete Silva Santos, Teresa Bernarda Ludermir
1999IJCNNNeural network methods for rule induction.Ricardo Bezerra de Andrade e Silva, Teresa Bernarda Ludermir
1999IJCNNSelf-organization sigmoidal blocks networks.Muser J. S. Valena, Teresa Bernarda Ludermir
1999IJCNNMultiplicative-additive neural networks with active neurons.Muser Jorge Silva Valena, Teresa Bernarda Ludermir
1998ICONIPExtracting Rules from Boolean Neural Networks.Teresa Bernarda Ludermir, Wilson Rosa de Oliveira