Automata theoretic aspects of temporal behaviour and computability in logical neural networks. - Teresa Bernarda Ludermir (1990)

Extracting Rules from Boolean Neural Networks. - Teresa Bernarda Ludermir; Wilson Rosa de Oliveira (ICONIP, 1998)

Extracting Rules from Feedforward Boolean Neural Networks. - Teresa Bernarda Ludermir (SBRN, 1998)

Self-Organizing Modeling in Forecasting Daily River Flows. - Mêuser Jorge Silva Valença; Teresa Bernarda Ludermir (SBRN, 1998)

Rule extraction from Boolean artificial neural networks. - Marcelo M. de Barros; Jeferson L. F. Valadares; Teresa Bernarda Ludermir (IJCNN, 1999)

Using factorial design to optimise neural networks. - Marizete Silva Santos; Teresa Bernarda Ludermir (IJCNN, 1999)

Neural network methods for rule induction. - Ricardo Bezerra de Andrade e Silva; Teresa Bernarda Ludermir (IJCNN, 1999)

Self-organization sigmoidal blocks networks. - Mêuser J. S. Valença; Teresa Bernarda Ludermir (IJCNN, 1999)

Multiplicative-additive neural networks with active neurons. - Mêuser Jorge Silva Valença; Teresa Bernarda Ludermir (IJCNN, 1999)

Editorial: "Artificial Neural Networks in Brazil: An Introduction to the Special Issue of IJNS". - Antônio de Pádua Braga; Teresa Bernarda Ludermir (Int. J. Neural Syst., 1999)

Knowledge Extraction: A Comparison between Symbolic and Connectionist Methods. - Cristiane Nobre; E. Martineli; Antônio de Pádua Braga; André Carlos Ponce de Leon Ferreira de Carvalho; S. Rezende; José L. Braga; Teresa Bernarda Ludermir (Int. J. Neural Syst., 1999)

Sequential RAM-based Neural Networks: Learnability, Generalisation, Knowledge Extraction, and Grammatical Inference. - Marcílio Carlos Pereira de Souto; Paulo J. L. Adeodato; Teresa Bernarda Ludermir (Int. J. Neural Syst., 1999)

Obtaining Simplified Rule Bases by Hybrid Learning. - Ricardo Bezerra de Andrade e Silva; Teresa Bernarda Ludermir (ICML, 2000)

Encoding of Probabilistic Automata into RAM-Based Neural Networks. - Marcílio Carlos Pereira de Souto; Teresa Bernarda Ludermir; Marcília A. Campos (IJCNN (3), 2000)

Modeling Modulatory Aspects in Association Processes. - Jairo Diniz Filho; Teresa Bernarda Ludermir (NCPW, 2000)

Monthly Streamflow Forecasting Using an Neural Fuzzy Network Model. - Mêuser Jorge Silva Valença; Teresa Bernarda Ludermir (SBRN, 2000)

Hybrid systems of local basis functions. - Ricardo Bezerra de Andrade e Silva; Teresa Bernarda Ludermir (Intell. Data Anal., 2001)

Evolutionary Optimization of RBF Networks. - Estefane G. M. de Lacerda; André Carlos Ponce de Leon Ferreira de Carvalho; Teresa Bernarda Ludermir (Int. J. Neural Syst., 2001)

Selection of Models for Time Series Prediction via Meta-Learning. - Ricardo Bastos Cavalcante Prudêncio; Teresa Bernarda Ludermir (HIS, 2002)

Pattern recognition of gases of petroleum based on RBF model. - Maria Silva Santos Barbosa; Teresa Bernarda Ludermir; Marizete Silva Santos; Francisco Luiz dos Santos; José Edison Gomes de Souza; Celso Pinto de Melo (SBRN, 2002)

Automatic Text Categorization: Case Study. - Renato Fernandes Corrêa; Teresa Bernarda Ludermir (SBRN, 2002)

Modulatory Interaction as a Support to Modeling Neural Substrates of the Decision Process. - Jairo Diniz Filho; Teresa Bernarda Ludermir (SBRN, 2002)

A Fuzzy Approach to Support a Musculoskeletal Disorders Diagnosis. - Domingos Vanderlei Filho; Marcos A. dos Santos; Teresa Bernarda Ludermir; Mêuser Jorge Silva Valença (SBRN, 2002)

A Study of Crossvalidation and Bootstrap as Objective Functions for Genetic Algorithms. - Estefane G. M. de Lacerda; André Carlos Ponce de Leon Ferreira de Carvalho; Teresa Bernarda Ludermir (SBRN, 2002)

Neural Networks for the analysis of Common Mental Disorders Factors. - C. R. S. Lopes; Teresa Bernarda Ludermir; Marcílio Carlos Pereira de Souto; A. B. Ludermir (SBRN, 2002)

Forecasting the IBOVESPA Using NARX Networks and Random Walk Model . - Eleonora Ma. Jesus Oliveira; Teresa Bernarda Ludermir (SBRN, 2002)

Turing Machines with Finite Memory. - Wilson Rosa de Oliveira; Marcílio Carlos Pereira de Souto; Teresa Bernarda Ludermir (SBRN, 2002)

Implementation of Probabilistic Automata in Weightless Neural Networks. - José Carlos Martins Oliveira; Marcílio Carlos Pereira de Souto; Teresa Bernarda Ludermir (SBRN, 2002)

NeuroInflow: The New Model to Forecast Average Monthly Inflow. - Mêuser Jorge Silva Valença; Teresa Bernarda Ludermir (SBRN, 2002)

Global Optimization Methods for Designing and Training Neural Networks. - Akio Yamazaki; Teresa Bernarda Ludermir; Marcílio Carlos Pereira de Souto (SBRN, 2002)

Model selection via Genetic Algorithms for RBF networks. - Estefane G. M. de Lacerda; André Carlos Ponce de Leon Ferreira de Carvalho; Teresa Bernarda Ludermir (J. Intell. Fuzzy Syst., 2002)

The VIIth Brazilian Symposium on Neural Networks (SBRN'02). - Teresa Bernarda Ludermir; Marcílio Carlos Pereira de Souto (J. Intell. Fuzzy Syst., 2002)

Turing's analysis of computation and artificial neural networks. - Wilson Rosa de Oliveira; Marcílio Carlos Pereira de Souto; Teresa Bernarda Ludermir (J. Intell. Fuzzy Syst., 2002)

Um Tutorial sobre Algoritmos Genéticos. - Estefane G. M. de Lacerda; André Carlos Ponce de Leon Ferreira de Carvalho; Teresa Bernarda Ludermir (RITA, 2002)

A Neuro-Fuzzy Model Applied to Odor Recognition in an Artificial Nose. - Cleber Zanchettin; Teresa Bernarda Ludermir (HIS, 2003)

Selecting and Ranking Time Series Models Using the NOEMON Approach. - Ricardo Bastos Cavalcante Prudêncio; Teresa Bernarda Ludermir (ICANN, 2003)

Neural networks for odor recognition in artificial noses. - Teresa Bernarda Ludermir; Akio Yamazaki (IJCNN, 2003)

Modeling a Particular Decision Process by Using a Modulatory Activation Function. - Jairo Diniz Filho; Teresa Bernarda Ludermir (Int. J. Neural Syst., 2003)

Introduction by Guest Editors. - Teresa Bernarda Ludermir; Marcílio Carlos Pereira de Souto (Int. J. Neural Syst., 2003)

Neural Network Training with Global Optimization Techniques. - Akio Yamazaki; Teresa Bernarda Ludermir (Int. J. Neural Syst., 2003)

Using Machine Learning Techniques to Combine Forecasting Methods. - Ricardo Bastos Cavalcante Prudêncio; Teresa Bernarda Ludermir (Australian Conference on Artificial Intelligence, 2004)

Selection of Time Series Forecasting Models based on Performance Information. - Patrícia Maforte dos Santos; Teresa Bernarda Ludermir; Ricardo Bastos Cavalcante Prudêncio (HIS, 2004)

Comparing Metrics in Fuzzy Clustering for Symbolic Data on SODAS Format. - Alzennyr Da Silva; Francisco de A. T. de Carvalho; Teresa Bernarda Ludermir; Nicomedes L. Cavalcanti (IBERAMIA, 2004)

Web Documents Categorization Using Neural Networks. - Renato Fernandes Corrêa; Teresa Bernarda Ludermir (ICONIP, 2004)

Dimensionality Reduction by Semantic Mapping in Text Categorization. - Renato Fernandes Corrêa; Teresa Bernarda Ludermir (ICONIP, 2004)

A Neighbor Generation Mechanism Optimizing Neural Networks. - Amanda Pimentel e Silva Lins; Teresa Bernarda Ludermir (ICONIP, 2004)

Hydrological Forecasting and Updating Procedures for Neural Network. - Mêuser Jorge Silva Valença; Teresa Bernarda Ludermir (ICONIP, 2004)

Evolving Fuzzy Neural Networks Applied to Odor Recognition. - Cleber Zanchettin; Teresa Bernarda Ludermir (ICONIP, 2004)

Comparative 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 (IJCNN, 2004)

MLP networks for classification and prediction with rule extraction mechanism. - Paulemir G. Campos; Eleonora Ma. Jesus Oliveira; Teresa Bernarda Ludermir; Aluízio F. R. Araújo (IJCNN, 2004)

Evolving fuzzy neural networks applied to odor recognition in an artificial nose. - Cleber Zanchettin; Teresa Bernarda Ludermir (IJCNN, 2004)

Meta-learning approaches to selecting time series models. - Ricardo Bastos Cavalcante Prudêncio; Teresa Bernarda Ludermir (Neurocomputing, 2004)

A Modal Symbolic Classifier for selecting time series models. - Ricardo Bastos Cavalcante Prudêncio; Teresa Bernarda Ludermir; Francisco de A. T. de Carvalho (Pattern Recognit. Lett., 2004)

Credit Card Users' Data Mining. - André Carlos Ponce de Leon Ferreira de Carvalho; Antônio de Pádua Braga; Teresa Bernarda Ludermir (Encyclopedia of Information Science and Technology (I), 2005)

River Flow Forecasting with Constructive Neural Network. - Mêuser Jorge Silva Valença; Teresa Bernarda Ludermir; Anelle Valença (Australian Conference on Artificial Intelligence, 2005)

Evolutionary strategies and genetic algorithms for dynamic parameter optimization of evolving fuzzy neural networks. - Fernanda L. Minku; Teresa Bernarda Ludermir (Congress on Evolutionary Computation, 2005)

Literal and ProRulext: Algorithms for Rule Extraction of ANNs. - Paulemir G. Campos; Teresa Bernarda Ludermir (HIS, 2005)

Hybrid Optimization Algorithm for the Definition of MLP Neural Network Architectures and Weights. - Amanda Pimentel e Silva Lins; Teresa Bernarda Ludermir (HIS, 2005)

River Flow Forecasting for Reservoir management through Neural Networks. - Mêuser Jorge Silva Valença; Teresa Bernarda Ludermir; Anelle Valença (HIS, 2005)

Modeling of the rainfall-runoff relationship with artificial neural network. - Mêuser Jorge Silva Valença; Teresa Bernarda Ludermir; Anelle Valença (HIS, 2005)

Design of Experiments in Neuro-Fuzzy Systems. - Cleber Zanchettin; Fernanda L. Minku; Teresa Bernarda Ludermir (HIS, 2005)

Comparing Neural Network Architecture for Pattern Recognize System on Artificial Noses. - Aida Araujo Ferreira; Teresa Bernarda Ludermir; Ronaldo Ribeiro Barbosa de Aquino (ICANN (1), 2005)

Neural Network Use for the Identification of Factors Related to Common Mental Disorders. - Teresa Bernarda Ludermir; C. R. S. Lopes; A. B. Ludermir; Marcílio Carlos Pereira de Souto (ICANN (1), 2005)

A comparative study of neural network to artificial noses. - Aida Araujo Ferreira; Teresa Bernarda Ludermir; Ronaldo Ribeiro Barbosa de Aquino (IJCNN, 2005)

Hybrid Technique for Artificial Neural Network Architecture and Weight Optimization. - Cleber Zanchettin; Teresa Bernarda Ludermir (PKDD, 2005)

Evolutionary Radial Basis Functions for Credit Assessment. - Estefane G. M. de Lacerda; André Carlos Ponce de Leon Ferreira de Carvalho; Antônio de Pádua Braga; Teresa Bernarda Ludermir (Appl. Intell., 2005)

Hybrid neural systems for pattern recognition in artificial noses. - Cleber Zanchettin; Teresa Bernarda Ludermir (Int. J. Neural Syst., 2005)

Equivalence between RAM-based neural networks and probabilistic automata. - Marcílio Carlos Pereira de Souto; Teresa Bernarda Ludermir; Wilson Rosa de Oliveira (IEEE Trans. Neural Networks, 2005)

EFuNNs Ensembles Construction Using a Clustering Method and a Coevolutionary Genetic Algorithm. - Fernanda L. Minku; Teresa Bernarda Ludermir (IEEE Congress on Evolutionary Computation, 2006)

A Hybrid Method for Searching Near-Optimal Artificial Neural Networks. - Leandro M. Almeida; Teresa Bernarda Ludermir (HIS, 2006)

Particle Swarm Optimization of Feed-Forward Neural Networks with Weight Decay. - Marcio Carvalho; Teresa Bernarda Ludermir (HIS, 2006)

A Machine Learning Approach to Define Weights for Linear Combination of Forecasts. - Ricardo Bastos Cavalcante Prudêncio; Teresa Bernarda Ludermir (ICANN (1), 2006)

Hybrid Training of Feed-Forward Neural Networks with Particle Swarm Optimization. - Marcio Carvalho; Teresa Bernarda Ludermir (ICONIP (2), 2006)

Feature Selection for Neural Networks Through Binomial Regression. - Gecynalda Soares da Silva Gomes; Teresa Bernarda Ludermir (ICONIP (2), 2006)

A Hybrid Model for Symbolic Interval Time Series Forecasting. - André Luis Santiago Maia; Francisco de A. T. de Carvalho; Teresa Bernarda Ludermir (ICONIP (2), 2006)

EFuNN Ensembles Construction Using a Clustering Method and a Coevolutionary Multi-objective Genetic Algorithm. - Fernanda L. Minku; Teresa Bernarda Ludermir (ICONIP (3), 2006)

Hybrid model with dynamic architecture for forecasting time series. - Gecynalda Soares da Silva Gomes; André Luis Santiago Maia; Teresa Bernarda Ludermir; Francisco de A. T. de Carvalho; Aluízio F. R. Araújo (IJCNN, 2006)

A methodology to train and improve artificial neural networks' weights and connections. - Cleber Zanchettin; Teresa Bernarda Ludermir (IJCNN, 2006)

An Analysis Of PSO Hybrid Algorithms For Feed-Forward Neural Networks Training. - Marcio Carvalho; Teresa Bernarda Ludermir (SBRN, 2006)

A Hybrid SOM-Based Document Organization System. - Renato Fernandes Corrêa; Teresa Bernarda Ludermir (SBRN, 2006)

Symbolic interval time series forecasting using a hybrid model. - André Luis Santiago Maia; Francisco de A. T. de Carvalho; Teresa Bernarda Ludermir (SBRN, 2006)

EFuNN Ensembles Construction Using CONE with Multi-objective GA. - Fernanda L. Minku; Teresa Bernarda Ludermir (SBRN, 2006)

LearningWeights for Linear Combination of Forecasting Methods. - Ricardo Bastos Cavalcante Prudêncio; Teresa Bernarda Ludermir (SBRN, 2006)

The Influence of Different Cost Functions in Global Optimization Techniques. - Cleber Zanchettin; Teresa Bernarda Ludermir (SBRN, 2006)

Improving self-organization of document collections by semantic mapping. - Renato Fernandes Corrêa; Teresa Bernarda Ludermir (Neurocomputing, 2006)

An Optimization Methodology for Neural Network Weights and Architectures. - Teresa Bernarda Ludermir; Akio Yamazaki; Cleber Zanchettin (IEEE Trans. Neural Networks, 2006)

Automatically searching near-optimal artificial neural networks. - Leandro M. Almeida; Teresa Bernarda Ludermir (ESANN, 2007)

Particle Swarm Optimization of Neural Network Architectures andWeights. - Marcio Carvalho; Teresa Bernarda Ludermir (HIS, 2007)

Application 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 (HIS, 2007)

Active Selection of Training Examples for Meta-Learning. - Ricardo Bastos Cavalcante Prudêncio; Teresa Bernarda Ludermir (HIS, 2007)

Active Learning to Support the Generation of Meta-examples. - Ricardo Bastos Cavalcante Prudêncio; Teresa Bernarda Ludermir (ICANN (1), 2007)

Analysis 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 (IJCNN, 2007)

Comparison of the Effectiveness of Different Cost Functions in Global Optimization Techniques. - Cleber Zanchettin; Teresa Bernarda Ludermir (IJCNN, 2007)

Wavelet filter for noise reduction and signal compression in an artificial nose. - Cleber Zanchettin; Teresa Bernarda Ludermir (Appl. Soft Comput., 2007)

An Evolutionary Approach for Tuning Artificial Neural Network Parameters. - Leandro M. Almeida; Teresa Bernarda Ludermir (HAIS, 2008)

Tuning Artificial Neural Networks Parameters Using an Evolutionary Algorithm. - Leandro M. Almeida; Teresa Bernarda Ludermir (HIS, 2008)

Improved Semantic Mapping and SOM Applied to Document Organization. - Renato Fernandes Corrêa; Teresa Bernarda Ludermir (HIS, 2008)

Using Reservoir Computing for Forecasting Time Series: Brazilian Case Study. - Aida Araujo Ferreira; Teresa Bernarda Ludermir (HIS, 2008)

Complementary Log-Log and Probit: Activation Functions Implemented in Artificial Neural Networks. - Gecynalda Soares da Silva Gomes; Teresa Bernarda Ludermir (HIS, 2008)

Predicting the Performance of Learning Algorithms Using Support Vector Machines as Meta-regressors. - Silvio B. Guerra; Ricardo Bastos Cavalcante Prudêncio; Teresa Bernarda Ludermir (ICANN (1), 2008)

An improved method for automatically searching near-optimal artificial Neural Networks. - Leandro M. Almeida; Teresa Bernarda Ludermir (IJCNN, 2008)

Investigating 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 Nóbrega Neto (IJCNN, 2008)

Active Meta-Learning with Uncertainty Sampling and Outlier Detection. - Ricardo Bastos Cavalcante Prudêncio; Teresa Bernarda Ludermir (IJCNN, 2008)

Evolving 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 (IJCNN, 2008)

An evolutionary approach for the clustering data problem. - Rodrigo G. F. Soares; Kelly P. Silva; Teresa Bernarda Ludermir; Francisco de A. T. de Carvalho (IJCNN, 2008)

Comparative study on normalization procedures for cluster analysis of gene expression datasets. - Marcílio Carlos Pereira de Souto; Daniel S. A. de Araujo; Ivan G. Costa; Rodrigo G. F. Soares; Teresa Bernarda Ludermir; Alexander Schliep (IJCNN, 2008)

Ranking and selecting clustering algorithms using a meta-learning approach. - Marcílio Carlos Pereira de Souto; Ricardo Bastos Cavalcante Prudêncio; Rodrigo G. F. Soares; Daniel S. A. de Araujo; Ivan G. Costa; Teresa Bernarda Ludermir; Alexander Schliep (IJCNN, 2008)

Feature subset selection in a methodology for training and improving artificial neural network weights and connections. - Cleber Zanchettin; Teresa Bernarda Ludermir (IJCNN, 2008)

Semantic mapping and K-means applied to hybrid SOM-based document organization system construction. - Renato Fernandes Corrêa; Teresa Bernarda Ludermir (SAC, 2008)

Weightless Neural Networks: Knowledge-Based Inference System. - Teresa Bernarda Ludermir; Marcílio Carlos Pereira de Souto; Wilson Rosa de Oliveira (SBRN, 2008)

Quantum Logical Neural Networks. - Wilson Rosa de Oliveira; Adenilton J. da Silva; Teresa Bernarda Ludermir; Amanda Leonel; Wilson R. Galindo; Jefferson C. C. Pereira (SBRN, 2008)

Using Support Vector Machines to Predict the Performance of MLP Neural Networks. - Ricardo Bastos Cavalcante Prudêncio; Silvio B. Guerra; Teresa Bernarda Ludermir (SBRN, 2008)

Selecting Neural Network Forecasting Models Using the Zoomed-Ranking Approach. - Patrícia M. Santos; Teresa Bernarda Ludermir; Ricardo Bastos Cavalcante Prudêncio (SBRN, 2008)

Clustering cancer gene expression data: a comparative study. - Marcílio Carlos Pereira de Souto; Ivan G. Costa; Daniel S. A. de Araujo; Teresa Bernarda Ludermir; Alexander Schliep (BMC Bioinform., 2008)

Special Issue HIS 2007. - Teresa Bernarda Ludermir; Andreas König 001; André Carlos Ponce de Leon Ferreira de Carvalho (Int. J. Hybrid Intell. Syst., 2008)

Selective generation of training examples in active meta-learning. - Ricardo Bastos Cavalcante Prudêncio; Teresa Bernarda Ludermir (Int. J. Hybrid Intell. Syst., 2008)

A quickly trainable hybrid SOM-based document organization system. - Renato Fernandes Corrêa; Teresa Bernarda Ludermir (Neurocomputing, 2008)

Forecasting models for interval-valued time series. - André Luis Santiago Maia; Francisco de A. T. de Carvalho; Teresa Bernarda Ludermir (Neurocomputing, 2008)

Clustering and co-evolution to construct neural network ensembles: An experimental study. - Fernanda L. Minku; Teresa Bernarda Ludermir (Neural Networks, 2008)

Active Generation of Training Examples in Meta-Regression. - Ricardo Bastos Cavalcante Prudêncio; Teresa Bernarda Ludermir (ICANN (1), 2009)

An 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 (ICANN (1), 2009)

A Two Stage Clustering Method Combining Self-Organizing Maps and Ant K-Means. - Jefferson R. Souza; Teresa Bernarda Ludermir; Leandro M. Almeida (ICANN (1), 2009)

Hybrid Systems for River Flood Forecasting Using MLP, SOM and Fuzzy Systems. - Ivna Valença; Teresa Bernarda Ludermir (ICANN (1), 2009)

Hybrid Optimization Technique for Artificial Neural Networks Design. - Cleber Zanchettin; Teresa Bernarda Ludermir (ICEIS (2), 2009)

Genetic algorithm for reservoir computing optimization. - Aida Araujo Ferreira; Teresa Bernarda Ludermir (IJCNN, 2009)

Neural networks with asymmetric activation function for function approximation. - Gecynalda Soares da Silva Gomes; Teresa Bernarda Ludermir; Leandro M. Almeida (IJCNN, 2009)

Combining Uncertainty Sampling Methods for Active Meta-Learning. - Ricardo Bastos Cavalcante Prudêncio; Teresa Bernarda Ludermir (ISDA, 2009)

Optimization of Neural Networks Weights and Architecture: A Multimodal Methodology. - Antonio Miguel F. Zarth; Teresa Bernarda Ludermir (ISDA, 2009)

On a hybrid weightless neural system. - Teresa Bernarda Ludermir; Marcílio Carlos Pereira de Souto; Wilson Rosa de Oliveira (Int. J. Bio Inspired Comput., 2009)

Evolving Artificial Neural Networks Using Adaptive Differential Evolution. - Adenilton J. da Silva; Nicole L. Mineu; Teresa Bernarda Ludermir (IBERAMIA, 2010)

Evolutionary strategy for simultaneous optimization of parameters, topology and reservoir weights in Echo State Networks. - Aida Araujo Ferreira; Teresa Bernarda Ludermir (IJCNN, 2010)

Topology optimization for artificial neural networks using differential evolution. - Nicole L. Mineu; Teresa Bernarda Ludermir; Leandro M. Almeida (IJCNN, 2010)

Superposition Based Learning Algorithm. - Adenilton J. da Silva; Teresa Bernarda Ludermir; Wilson Rosa de Oliveira (SBRN, 2010)

A Weightless Neural Node Based on a Probabilistic Quantum Memory. - Adenilton J. da Silva; Wilson Rosa de Oliveira; Teresa Bernarda Ludermir (SBRN, 2010)

Hybrid Systems to Select Variables for Time Series Forecasting Using MLP and Search Algorithms. - Ivna Valença; Teresa Bernarda Ludermir; Mêuser Jorge Silva Valença (SBRN, 2010)

Design of Experiments in Neuro-Fuzzy Systems. - Cleber Zanchettin; Leandro L. Minku; Teresa Bernarda Ludermir (Int. J. Comput. Intell. Appl., 2010)

A multi-objective memetic and hybrid methodology for optimizing the parameters and performance of artificial neural networks. - Leandro M. Almeida; Teresa Bernarda Ludermir (Neurocomputing, 2010)

Frankenstein PSO applied to neural network weights and architectures. - Natalia Flora de Lima; Teresa Bernarda Ludermir (IEEE Congress on Evolutionary Computation, 2011)

An evolutionary extreme learning machine based on group search optimization. - Danielle N. G. Silva; Luciano D. S. Pacífico; Teresa Bernarda Ludermir (IEEE Congress on Evolutionary Computation, 2011)

Combining Meta-learning and Active Selection of Datasetoids for Algorithm Selection. - Ricardo Bastos Cavalcante Prudêncio; Carlos Soares; Teresa Bernarda Ludermir (HAIS (1), 2011)

Uncertainty Sampling-Based Active Selection of Datasetoids for Meta-learning. - Ricardo Bastos Cavalcante Prudêncio; Carlos Soares; Teresa Bernarda Ludermir (ICANN (2), 2011)

Homogeneous Ensemble Selection through Hierarchical Clustering with a Modified Artificial Fish Swarm Algorithm. - João Fausto Lorenzato de Oliveira; Teresa Bernarda Ludermir (ICTAI, 2011)

Comparing evolutionary methods for reservoir computing pre-training. - Aida Araujo Ferreira; Teresa Bernarda Ludermir (IJCNN, 2011)

Uncertainty sampling methods for selecting datasets in active meta-learning. - Ricardo Bastos Cavalcante Prudêncio; Carlos Soares; Teresa Bernarda Ludermir (IJCNN, 2011)

A tool to implement probabilistic automata in RAM-based neural networks. - Marcilio C. P. de Souto; José Carlos Martins Oliveira; Teresa Bernarda Ludermir (IJCNN, 2011)

Improved Group Search Optimizer based on cooperation among groups for feedforward networks training with Weight Decay. - Danielle N. G. Silva; Luciano D. S. Pacífico; Teresa Bernarda Ludermir (SMC, 2011)

Feature and algorithm selection with Hybrid Intelligent Techniques. - Teresa Bernarda Ludermir; Ricardo Bastos Cavalcante Prudêncio; Cleber Zanchettin (Int. J. Hybrid Intell. Syst., 2011)

Selecting variables with search algorithms and neural networks to improve the process of time series forecasting. - Ivna Valença; Tarcísio Lucas; Teresa Bernarda Ludermir; Mêuser Jorge Silva Valença (Int. J. Hybrid Intell. Syst., 2011)

Comparison of new activation functions in neural network for forecasting financial time series. - Gecynalda Soares da Silva Gomes; Teresa Bernarda Ludermir; Leyla M. M. R. Lima (Neural Comput. Appl., 2011)

Hybrid Training Method for MLP: Optimization of Architecture and Training. - Cleber Zanchettin; Teresa Bernarda Ludermir; Leandro M. Almeida (IEEE Trans. Syst. Man Cybern. Part B, 2011)

Selecting Machine Learning Algorithms Using the Ranking Meta-Learning Approach. - Ricardo Bastos Cavalcante Prudêncio; Marcilio C. P. de Souto; Teresa Bernarda Ludermir (Meta-Learning in Computational Intelligence, 2011)

Selection and Fusion of Neural Networks via Differential Evolution. - Tiago P. F. de Lima; Adenilton J. da Silva; Teresa Bernarda Ludermir (IBERAMIA, 2012)

A Modified Artificial Fish Swarm Algorithm for the Optimization of Extreme Learning Machines. - João Fausto Lorenzato de Oliveira; Teresa Bernarda Ludermir (ICANN (2), 2012)

PSO for Reservoir Computing Optimization. - Anderson Tenório Sergio; Teresa Bernarda Ludermir (ICANN (1), 2012)

Comparing recurrent networks for time-series forecasting. - Aida Araujo Ferreira; Teresa Bernarda Ludermir; Ronaldo Ribeiro Barbosa de Aquino (IJCNN, 2012)

Application of the IPSONet in face detection. - Elliackin M. N. Figueiredo; Rafael G. Mesquita; Teresa Bernarda Ludermir; George D. C. Cavalcanti (IJCNN, 2012)

Clustering and selection of neural networks using adaptive differential evolution. - Tiago P. F. de Lima; Adenilton J. da Silva; Teresa Bernarda Ludermir (IJCNN, 2012)

Odor recognition systems for natural gas odorization monitoring. - Cleber Zanchettin; Leandro M. Almeida; Frederico D. Menezes; Teresa Bernarda Ludermir; Walter M. Azevedo (IJCNN, 2012)

Effect of the PSO Topologies on the Performance of the PSO-ELM. - Elliackin M. N. Figueiredo; Teresa Bernarda Ludermir (SBRN, 2012)

Evolving Neural Networks Using Differential Evolution with Neighborhood-Based Mutation and Simple Subpopulation Scheme. - Nicole L. Mineu; Adenilton J. da Silva; Teresa Bernarda Ludermir (SBRN, 2012)

On the Universality of Quantum Logical Neural Networks. - Adenilton J. da Silva; Teresa Bernarda Ludermir; Wilson Rosa de Oliveira (SBRN, 2012)

Improved group search optimization based on opposite populations for feedforward networks training with weight decay. - Luciano D. S. Pacífico; Teresa Bernarda Ludermir (SMC, 2012)

Improved Evolutionary Extreme Learning Machines Based on Particle Swarm Optimization and Clustering Approaches. - Luciano D. S. Pacífico; Teresa Bernarda Ludermir (Int. J. Nat. Comput. Res., 2012)

Automatic parameters selection in machine learning. - Teresa Bernarda Ludermir; Marcílio Carlos Pereira de Souto; Marley M. B. R. Vellasco (Neurocomputing, 2012)

Classical and superposed learning for quantum weightless neural networks. - Adenilton J. da Silva; Wilson Rosa de Oliveira; Teresa Bernarda Ludermir (Neurocomputing, 2012)

Combining Uncertainty Sampling methods for supporting the generation of meta-examples. - Ricardo Bastos Cavalcante Prudêncio; Teresa Bernarda Ludermir (Inf. Sci., 2012)

A Hybrid Group Search Optimization Based on Fish Swarms. - João F. L. Oliveira; Luciano D. S. Pacífico; Teresa Bernarda Ludermir (BRACIS, 2013)

Using 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 (IEEE Congress on Evolutionary Computation, 2013)

Cooperative Group Search Optimization. - Luciano D. S. Pacífico; Teresa Bernarda Ludermir (IEEE Congress on Evolutionary Computation, 2013)

Optimizing Dynamic Ensemble Selection Procedure by Evolutionary Extreme Learning Machines and a Noise Reduction Filter. - Tiago Pessoa Ferreira de Lima; Teresa Bernarda Ludermir (ICTAI, 2013)

Clustering 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 (ICTAI, 2013)

Forecasting models of wind power in Northeastern of Brazil. - Ronaldo Ribeiro Barbosa de Aquino; Teresa Bernarda Ludermir; Otoni Nóbrega Neto; Aida Araujo Ferreira; Milde M. S. Lira; Manoel A. Carvalho (IJCNN, 2013)

Evolutionary extreme learning machine based on particle swarm optimization and clustering strategies. - Luciano D. S. Pacífico; Teresa Bernarda Ludermir (IJCNN, 2013)

Active selection of training instances for a random forest meta-learner. - Arthur F. M. Sousa; Ricardo B. C. Prudêncio; Carlos Soares; Teresa Bernarda Ludermir (IJCNN, 2013)

An approach to reservoir computing design and training. - Aida Araujo Ferreira; Teresa Bernarda Ludermir; Ronaldo Ribeiro Barbosa de Aquino (Expert Syst. Appl., 2013)

Optimization of the weights and asymmetric activation function family of neural network for time series forecasting. - Gecynalda Soares da Silva Gomes; Teresa Bernarda Ludermir (Expert Syst. Appl., 2013)

Particle Swarm Optimization of MLP for the identification of factors related to Common Mental Disorders. - Teresa Bernarda Ludermir; Wilson Rosa de Oliveira (Expert Syst. Appl., 2013)

An automatic method for construction of ensembles to time series prediction. - Tiago P. F. de Lima; Teresa Bernarda Ludermir (Int. J. Hybrid Intell. Syst., 2013)

Improving Classifiers and Regions of Competence in Dynamic Ensemble Selection. - Tiago Pessoa Ferreira de Lima; Anderson Tenório Sergio; Teresa Bernarda Ludermir (BRACIS, 2014)

A Hybrid Evolutionary System for Parameter Optimization and Lag Selection in Time Series Forecasting. - João Fausto Lorenzato de Oliveira; Teresa Bernarda Ludermir (BRACIS, 2014)

A Group Search Optimization Method for Data Clustering. - Luciano Demetrio Santos Pacífico; Teresa Bernarda Ludermir (BRACIS, 2014)

Improved Cooperative Group Search Optimization Based on Divide-and-Conquer Strategy. - Luciano Demetrio Santos Pacífico; Teresa Bernarda Ludermir (BRACIS, 2014)

Investigating the use of Echo State Networks for prediction of wind power generation. - Ronaldo Ribeiro Barbosa de Aquino; Otoni Nóbrega Neto; Ramon B. Souza; Milde M. S. Lira; Manoel A. Carvalho; Teresa Bernarda Ludermir; Aida Araujo Ferreira (CIES, 2014)

Iterative ARIMA-multiple support vector regression models for long term time series prediction. - João F. L. Oliveira; Teresa Bernarda Ludermir (ESANN, 2014)

Vector space weightless neural networks. - Wilson Rosa de Oliveira; Adenilton J. da Silva; Teresa Bernarda Ludermir (ESANN, 2014)

Training a classical weightless neural network in a quantum computer. - Adenilton J. da Silva; Wilson Rosa de Oliveira; Teresa Bernarda Ludermir (ESANN, 2014)

Probabilistic automata simulation with single layer weightless neural networks. - Adenilton J. da Silva; Wilson Rosa de Oliveira; Teresa Bernarda Ludermir (ESANN, 2014)

Ensembles of evolutionary Extreme Learning Machines through differential evolution and Fitness Sharing. - Tiago P. F. de Lima; Teresa Bernarda Ludermir (IJCNN, 2014)

Reservoir Computing optimization with a hybrid method. - Anderson Tenório Sergio; Teresa Bernarda Ludermir (IJCNN, 2014)

Improving reservoir based wind power forecasting with ensembles. - Ronaldo Ribeiro Barbosa de Aquino; Teresa Bernarda Ludermir; Aida Araujo Ferreira; Otoni Nóbrega Neto; Ramon B. Souza; Milde M. S. Lira; Manoel A. Carvalho (SMC, 2014)

A distributed PSO-ARIMA-SVR hybrid system for time series forecasting. - João Fausto Lorenzato de Oliveira; Teresa Bernarda Ludermir (SMC, 2014)

Investigating the use of alternative topologies on performance of the PSO-ELM. - Elliackin M. N. Figueiredo; Teresa Bernarda Ludermir (Neurocomputing, 2014)

Advances in intelligent systems. - Teresa Bernarda Ludermir; Cleber Zanchettin; Ana Carolina Lorena (Neurocomputing, 2014)

An automatic methodology for construction of multi-classifier systems based on the combination of selection and fusion. - Tiago P. F. de Lima; Adenilton J. da Silva; Teresa Bernarda Ludermir; Wilson Rosa de Oliveira (Prog. Artif. Intell., 2014)

Fitting Parameters on Quantum Weightless Neuron Dynamics. - Fernando M. de Paula Neto; Teresa Bernarda Ludermir; Wilson Rosa de Oliveira; Adenilton J. da Silva (BRACIS, 2015)

Solving NP-complete Problems Using Quantum Weightless Neuron Nodes. - Fernando M. de Paula Neto; Teresa Bernarda Ludermir; Wilson Rosa de Oliveira; Adenilton J. da Silva (BRACIS, 2015)

Deep Learning for Wind Speed Forecasting in Northeastern Region of Brazil. - Anderson Tenório Sergio; Teresa Bernarda Ludermir (BRACIS, 2015)

Differential evolution and meta-learning for dynamic ensemble of neural network classifiers. - Tiago P. F. de Lima; Teresa Bernarda Ludermir (IJCNN, 2015)

Extreme 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 (SMC, 2015)

Progress in intelligent systems. - Aurora T. R. Pozo; Heloisa de Arruda Camargo; Teresa Bernarda Ludermir (Neurocomputing, 2015)

Physical Topology Design of Optical Networks Aided by Many-Objective Optimization Algorithms. - Elliackin M. N. Figueiredo; Danilo R. B. Araujo; Carmelo J. A. Bastos Filho; Teresa Bernarda Ludermir (BRACIS, 2016)

Data Clustering Using Group Search Optimization with Alternative Fitness Functions. - Luciano D. S. Pacífico; Teresa Bernarda Ludermir (BRACIS, 2016)

SSDP: A Simple Evolutionary Approach for Top-K Discriminative Patterns in High Dimensional Databases. - Tarcisio Pontes; Renato Vimieiro; Teresa Bernarda Ludermir (BRACIS, 2016)

Chaos in Quantum Weightless Neuron Node Dynamics. - Fernando M. de Paula Neto; Wilson Rosa de Oliveira; Adenilton J. da Silva; Teresa Bernarda Ludermir (Neurocomputing, 2016)

A hybrid evolutionary decomposition system for time series forecasting. - João Fausto Lorenzato de Oliveira; Teresa Bernarda Ludermir (Neurocomputing, 2016)

Progress in intelligent systems design. - Ricardo B. C. Prudêncio; Teresa Bernarda Ludermir (Neurocomputing, 2016)

Dynamic selection of forecast combiners. - Anderson Tenório Sergio; Tiago P. F. de Lima; Teresa Bernarda Ludermir (Neurocomputing, 2016)

Weightless neural network parameters and architecture selection in a quantum computer. - Adenilton J. da Silva; Wilson Rosa de Oliveira; Teresa Bernarda Ludermir (Neurocomputing, 2016)

Active learning and data manipulation techniques for generating training examples in meta-learning. - Arthur F. M. Sousa; Ricardo B. C. Prudêncio; Teresa Bernarda Ludermir; Carlos Soares (Neurocomputing, 2016)

Voting based q-generalized extreme learning machine. - Dusan Stosic; Darko Stosic; Teresa Bernarda Ludermir (Neurocomputing, 2016)

Many Objective Particle Swarm Optimization. - Elliackin M. N. Figueiredo; Teresa Bernarda Ludermir; Carmelo J. A. Bastos Filho (Inf. Sci., 2016)

GPU-advanced 3D electromagnetic simulations of superconductors in the Ginzburg-Landau formalism. - Darko Stosic; Dusan Stosic; Teresa Bernarda Ludermir; Borko D. Stosic; Milorad V. Milosevic (J. Comput. Phys., 2016)

An efficient static gesture recognizer embedded system based on ELM pattern recognition algorithm. - Lucas F. S. Cambuim; Rafael M. Macieira; Fernando M. de Paula Neto; Edna Barros; Teresa Bernarda Ludermir; Cleber Zanchettin (J. Syst. Archit., 2016)

Quantum perceptron over a field and neural network architecture selection in a quantum computer. - Adenilton J. da Silva; Teresa Bernarda Ludermir; Wilson Rosa de Oliveira (Neural Networks, 2016)

On the Entanglement Dynamics of the Quantum Weightless Neuron. - Fernando Maciano de Paula Neto; Wilson Rosa de Oliveira; Adenilton José da Silva; Teresa Bernarda Ludermir (BRACIS, 2017)

Non-unitary Quantum Associative Memory. - Fernando Maciano de Paula Neto; Adenilton José da Silva; Wilson Rosa de Oliveira; Teresa Bernarda Ludermir (BRACIS, 2017)

A new evolutionary algorithm for mining top-k discriminative patterns in high dimensional data. - Tarcísio Lucas; Túlio C. P. B. Silva; Renato Vimieiro; Teresa Bernarda Ludermir (Appl. Soft Comput., 2017)

Chaos in a quantum neuron: An open system approach. - Fernando M. de Paula Neto; Wilson Rosa de Oliveira; Teresa Bernarda Ludermir; Adenilton J. da Silva (Neurocomputing, 2017)

BRACIS 2015: Progress in computation intelligence in Brazil. - Gisele Lobo Pappa; Kate Cerqueira Revoredo; Teresa Bernarda Ludermir (Neurocomputing, 2017)

Editorial: A Successful Year and Looking Forward to 2017 and Beyond. - Haibo He; Robert Haas; Jun Fu; Barbara Hammer; Daniel W. C. Ho; Fakhri Karray; Dhireesha Kudithipudi; José Antonio Lozano 001; Teresa Bernarda Ludermir; Jacek Mandziuk; Stefano Melacci; Antonio Paiva; et al. (IEEE Trans. Neural Networks Learn. Syst., 2017)

QRNN: q -Generalized Random Neural Network. - Dusan Stosic; Darko Stosic; Cleber Zanchettin; Teresa Bernarda Ludermir; Borko D. Stosic (IEEE Trans. Neural Networks Learn. Syst., 2017)

A Novel Evolutionary Algorithm for Automated Machine Learning Focusing on Classifier Ensembles. - João C. Xavier Junior; Alex Alves Freitas; Antonino Feitosa Neto; Teresa Bernarda Ludermir (BRACIS, 2018)

A Hybrid Improved Group Search Optimization and Otsu Method for Color Image Segmentation. - Luciano D. S. Pacífico; Teresa Bernarda Ludermir; Larissa F. S. Britto (BRACIS, 2018)

Evolutionary ELMs with Alternative Treatments for the Population Out-Bounded Individuals. - Luciano D. S. Pacífico; Teresa Bernarda Ludermir; João F. L. Oliveira (BRACIS, 2018)

Population 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 (CEC, 2018)

SSDP+: A Diverse and More Informative Subgroup Discovery Approach for High Dimensional Data. - Tarcísio Lucas; Renato Vimieiro; Teresa Bernarda Ludermir (CEC, 2018)

Alternative Population Initialization Schemes for Group Search Optimization for Data Clustering. - Luciano D. S. Pacífico; Teresa Bernarda Ludermir (CEC, 2018)

SegNetRes-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 (IJCNN, 2018)

Quantum Perceptron with Dynamic Internal Memory. - Fernando M. de Paula Neto; Teresa Bernarda Ludermir; Wilson Rosa de Oliveira; Adenilton J. da Silva (IJCNN, 2018)

Hybrid K-Means and Improved Group Search optimization Methods for Data Clustering. - Luciano D. S. Pacífico; Teresa Bernarda Ludermir (IJCNN, 2018)

Reducing 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 (IJCNN, 2018)

Using Meta-learning in the Selection of the Combination Method of a Classifier Ensemble. - Robercy Alves da Silva; Anne Magály de Paula Canuto; João Carlos Xavier Junior; Teresa Bernarda Ludermir (IJCNN, 2018)

A Multivariate Method for Group Profiling Using Subgroup Discovery. - Tarcísio Lucas; João Gomes; Renato Vimieiro; Ricardo B. C. Prudêncio; Teresa Bernarda Ludermir (BRACIS, 2019)

Quantum Neural Networks Learning Algorithm Based on a Global Search. - Fernando Maciano de Paula Neto; Teresa Bernarda Ludermir; Wilson Rosa de Oliveira (BRACIS, 2019)

Automatic Classification of Medicinal Plant Species Based on Color and Texture Features. - Luciano D. S. Pacífico; Larissa F. S. Britto; Emilia Oliveira; Teresa Bernarda Ludermir (BRACIS, 2019)

A Partitional Cooperative Coevolutionary Group Search Optimization Approach for Data Clustering. - Luciano Demetrio Santos Pacífico; Teresa Bernarda Ludermir (BRACIS, 2019)

Analyzing the impact of data representations in classification problems using clustering. - Felipe Costa Farias; Teresa Bernarda Ludermir; Carmelo J. A. Bastos Filho; Flávio Rosendo Da Silva Oliveira (IJCNN, 2019)

Hybrid K-Means and Improved Self-Adaptive Particle Swarm Optimization for Data Clustering. - Luciano D. S. Pacífico; Teresa Bernarda Ludermir (IJCNN, 2019)

On the Learning Properties of Dueling DDQN in Parameter Control for Evolutionary and Swarm-based Algorithms. - Marcelo Gomes Pereira de Lacerda; Fernando Buarque de Lima Neto; Hugo de Andrade Amorim Neto; Herbert Kuchen; Teresa Bernarda Ludermir (LA-CCI, 2019)

Distinction Maximization Loss: Fast, Scalable, Turnkey, and Native Neural Networks Out-of-Distribution Detection simply by Replacing the SoftMax Loss. - David L. Macêdo; Tsang Ing Ren; Cleber Zanchettin; Adriano L. I. Oliveira; Alain Tapp; Teresa Bernarda Ludermir (CoRR, 2019)

Enhancing batch normalized convolutional networks using displaced rectifier linear units: A systematic comparative study. - David L. Macêdo; Cleber Zanchettin; Adriano L. I. Oliveira; Teresa Bernarda Ludermir (Expert Syst. Appl., 2019)

Quantum probabilistic associative memory architecture. - Fernando M. de Paula Neto; Adenilton J. da Silva; Wilson Rosa de Oliveira; Teresa Bernarda Ludermir (Neurocomputing, 2019)

Natural image segmentation with non-extensive mixture models. - Dusan Stosic; Darko Stosic; Teresa Bernarda Ludermir; Tsang Ing Ren (J. Vis. Commun. Image Represent., 2019)

Backtracking Group Search Optimization: A Hybrid Approach for Automatic Data Clustering. - Luciano D. S. Pacífico; Teresa Bernarda Ludermir (BRACIS, 2020)

An Evaluation on Competitive and Cooperative Evolutionary Algorithms for Data Clustering. - Luciano D. S. Pacífico; Teresa Bernarda Ludermir (CEC, 2020)

On Analysing Similarity Knowledge Transfer by Ensembles. - Danilo Pereira; Flávio Arthur O. Santos; Leonardo N. Matos; Paulo Novais; Cleber Zanchettin; Teresa Bernarda Ludermir (IDEAL (2), 2020)

Learning from Sparse and Delayed Rewards with a Multilayer Spiking Neural Network. - Sérgio F. Chevtchenko; Teresa Bernarda Ludermir (IJCNN, 2020)

Neural Networks Out-of-Distribution Detection: Hyperparameter-Free Isotropic Maximization Loss, The Principle of Maximum Entropy, Cold Training, and Branched Inferences. - David L. Macêdo; Teresa Bernarda Ludermir (CoRR, 2020)

Quantum One-class Classification With a Distance-based Classifier. - Nicolas M. de Oliveira; Teresa Bernarda Ludermir; Wilson Rosa de Oliveira; Adenilton J. da Silva (CoRR, 2020)

Similarity Based Stratified Splitting: an approach to train better classifiers. - Felipe Costa Farias; Teresa Bernarda Ludermir; Carmelo José Albanez Bastos Filho (CoRR, 2020)

An evolutionary algorithm for automated machine learning focusing on classifier ensembles: An improved algorithm and extended results. - João Carlos Xavier Junior; Alex Alves Freitas; Teresa Bernarda Ludermir; Antonino Feitosa Neto; Cephas A. S. Barreto (Theor. Comput. Sci., 2020)

Implementing Any Nonlinear Quantum Neuron. - Fernando M. de Paula Neto; Teresa Bernarda Ludermir; Wilson Rosa de Oliveira; Adenilton J. da Silva (IEEE Trans. Neural Networks Learn. Syst., 2020)

Entropic Out-of-Distribution Detection. - David L. Macêdo; Tsang Ing Ren; Cleber Zanchettin; Adriano L. I. Oliveira; Teresa Bernarda Ludermir (IJCNN, 2021)

Quantum 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 (IJCNN, 2021)

Ingredient Substitute Recommendation Based on Collaborative Filtering and Recipe Context for Automatic Allergy-Safe Recipe Generation. - Luciano D. S. Pacífico; Larissa F. S. Britto; Teresa Bernarda Ludermir (WebMedia, 2021)

Training Aware Sigmoidal Optimizer. - David L. Macêdo; Pedro Dreyer; Teresa Bernarda Ludermir; Cleber Zanchettin (CoRR, 2021)

Improving Entropic Out-of-Distribution Detection using Isometric Distances and the Minimum Distance Score. - David L. Macêdo; Teresa Bernarda Ludermir (CoRR, 2021)

Distance Metric Learning through Minimization of the Free Energy. - Dusan Stosic; Darko Stosic; Teresa Bernarda Ludermir; Borko D. Stosic (CoRR, 2021)

Uso de GSO cooperativos com decaimentos de pesos para otimizacao de redes neurais. - Danielle Silva; Teresa Bernarda Ludermir (CoRR, 2021)

Um Metodo para Busca Automatica de Redes Neurais Artificiais. - Anderson P. da Silva; Teresa Bernarda Ludermir; Leandro M. Almeida (CoRR, 2021)

Otimizacao de Redes Neurais atraves de Algoritmos Geneticos Celulares. - Anderson da Silva; Teresa Bernarda Ludermir (CoRR, 2021)

Otimizacao de pesos e funcoes de ativacao de redes neurais aplicadas na previsao de series temporais. - Gecynalda Gomes; Teresa Bernarda Ludermir (CoRR, 2021)

Metodos de Agrupamentos em dois Estagios. - Jefferson R. Souza; Teresa Bernarda Ludermir (CoRR, 2021)

Meta-aprendizado para otimizacao de parametros de redes neurais. - Tarsicio Lucas; Teresa Bernarda Ludermir; Ricardo B. C. Prudêncio; Carlos Soares (CoRR, 2021)

An evaluation of k-means as a local search operator in hybrid memetic group search optimization for data clustering. - Luciano D. S. Pacífico; Teresa Bernarda Ludermir (Nat. Comput., 2021)

Combining STDP and binary networks for reinforcement learning from images and sparse rewards. - Sérgio F. Chevtchenko; Teresa Bernarda Ludermir (Neural Networks, 2021)

A systematic literature review on general parameter control for evolutionary and swarm-based algorithms. - Marcelo Gomes Pereira de Lacerda; Luis Filipe de Araujo Pessoa; Fernando Buarque de Lima Neto; Teresa Bernarda Ludermir; Herbert Kuchen (Swarm Evol. Comput., 2021)

Training Aware Sigmoidal Optimization. - David L. Macêdo; Pedro Dreyer; Teresa Bernarda Ludermir; Cleber Zanchettin (BRACIS (2), 2022)

Improved Alternative Average Support Value for Automatic Ingredient Substitute Recommendation in Cooking Recipes. - Luciano D. S. Pacífico; Larissa F. S. Britto; Teresa Bernarda Ludermir (BRACIS (2), 2022)

Improving Group Search Optimization for Automatic Data Clustering Using Merge and Split Operators. - Luciano D. S. Pacífico; Teresa Bernarda Ludermir (BRACIS (1), 2022)

Combining PPO and incremental conductance for MPPT under dynamic shading and temperature. - Sérgio F. Chevtchenko; Eduardo J. Barbosa; Marcelo Cabral Cavalcanti; Gustavo Medeiros de Souza Azevedo; Teresa Bernarda Ludermir (Appl. Soft Comput., 2022)

Towards a parameterless out-of-the-box population size control for evolutionary and swarm-based algorithms for single objective bound constrained real-parameter numerical optimization. - Marcelo Gomes Pereira de Lacerda; Hugo de Andrade Amorim Neto; Teresa Bernarda Ludermir; Herbert Kuchen; Fernando Buarque de Lima Neto (Appl. Soft Comput., 2022)

Distinction Maximization Loss: Efficiently Improving Classification Accuracy, Uncertainty Estimation, and Out-of-Distribution Detection Simply Replacing the Loss and Calibrating. - David L. Macêdo; Cleber Zanchettin; Teresa Bernarda Ludermir (CoRR, 2022)

Embarrassingly Parallel Independent Training of Multi-Layer Perceptrons with Heterogeneous Architectures. - Felipe Costa Farias; Teresa Bernarda Ludermir; Carmelo José Albanez Bastos Filho (CoRR, 2022)

Have we been Naive to Select Machine Learning Models? Noisy Data are here to Stay! - Felipe Costa Farias; Teresa Bernarda Ludermir; Carmelo José Albanez Bastos Filho (CoRR, 2022)

Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples. - David L. Macêdo; Tsang Ing Ren; Cleber Zanchettin; Adriano L. I. Oliveira; Teresa Bernarda Ludermir (IEEE Trans. Neural Networks Learn. Syst., 2022)

Configurable sublinear circuits for quantum state preparation. - Israel F. Araujo; Daniel K. Park; Teresa Bernarda Ludermir; Wilson Rosa de Oliveira; Francesco Petruccione; Adenilton J. da Silva (Quantum Inf. Process., 2023)

Out-of-the-box parameter control for evolutionary and swarm-based algorithms with distributed reinforcement learning. - Marcelo Gomes Pereira de Lacerda; Fernando Buarque de Lima Neto; Teresa Bernarda Ludermir; Herbert Kuchen (Swarm Intell., 2023)

A Neuromorphic Architecture for Reinforcement Learning from Real-Valued Observations. - Sérgio F. Chevtchenko; Yeshwanth Bethi; Teresa Bernarda Ludermir; Saeed Afshar (IJCNN, 2024)

Sigmoidal learning rate optimizer for deep neural network training using a two-phase adaptation approach. - David L. Macêdo; Cleber Zanchettin; Teresa Bernarda Ludermir (Appl. Soft Comput., 2024)

Grammar-based Evolutionary Approaches for Software Effort Estimation. - Márcio P. Basgalupp; Rodrigo C. Barros; Ricardo Cerri; Ferrante Neri; Péricles B. C. Miranda; Teresa Bernarda Ludermir (CEC, 2025)

Data Balancing for Mitigating Sampling Bias in Machine Learning. - Ronaldo Inocêncio Júnior; Márcio P. Basgalupp; Teresa Bernarda Ludermir; Ana Carolina Lorena (SAC, 2025)

Network-based instance hardness measures for classification problems. - Gustavo P. Torquette; Márcio P. Basgalupp; Teresa Bernarda Ludermir; Ana Carolina Lorena (SAC, 2025)