Teresa Bernarda Ludermir

293 papers A* 1B 80C 21Misc 4Journal 95Unranked 86

Year	Rank	Type	Title / Venue / Authors
2025	Misc	`conf`	Data Balancing for Mitigating Sampling Bias in Machine Learning. SAC Ronaldo Inocêncio Júnior, Márcio P. Basgalupp, Teresa Bernarda Ludermir, Ana Carolina Lorena
2025	B	`conf`	Grammar-based Evolutionary Approaches for Software Effort Estimation. CEC Márcio P. Basgalupp, Rodrigo C. Barros, Ricardo Cerri, Ferrante Neri, Péricles B. C. Miranda, Teresa Bernarda Ludermir
2025	Misc	`conf`	Network-based instance hardness measures for classification problems. SAC Gustavo P. Torquette, Márcio P. Basgalupp, Teresa Bernarda Ludermir, Ana Carolina Lorena
2024	B	`conf`	A Neuromorphic Architecture for Reinforcement Learning from Real-Valued Observations. IJCNN Sérgio F. Chevtchenko, Yeshwanth Bethi, Teresa Bernarda Ludermir, Saeed Afshar
2024	J	`jnl`	Sigmoidal learning rate optimizer for deep neural network training using a two-phase adaptation approach. Appl. Soft Comput. David L. Macêdo, Cleber Zanchettin, Teresa Bernarda Ludermir
2023	J	`jnl`	A Neuromorphic Architecture for Reinforcement Learning from Real-Valued Observations. CoRR Sérgio F. Chevtchenko, Yeshwanth Bethi, Teresa Bernarda Ludermir, Saeed Afshar
2023	J	`jnl`	Configurable sublinear circuits for quantum state preparation. Quantum Inf. Process. Israel F. Araujo, Daniel K. Park, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira, Francesco Petruccione, Adenilton J. da Silva
2023	J	`jnl`	Out-of-the-box parameter control for evolutionary and swarm-based algorithms with distributed reinforcement learning. Swarm Intell. Marcelo Gomes Pereira de Lacerda, Fernando Buarque de Lima Neto, Teresa Bernarda Ludermir, Herbert Kuchen
2023	—	`conf`	Previsão de Utilidade de Avaliações de Produtos Online na Língua Portuguesa Brasileira. STIL Larissa F. S. Britto, Luciano D. S. Pacífico, Teresa Bernarda Ludermir
2022	J	`jnl`	Combining PPO and incremental conductance for MPPT under dynamic shading and temperature. Appl. Soft Comput. Sérgio F. Chevtchenko, Eduardo J. Barbosa, Marcelo Cabral Cavalcanti, Gustavo Medeiros de Souza Azevedo, Teresa Bernarda Ludermir
2022	J	`jnl`	Distinction Maximization Loss: Efficiently Improving Classification Accuracy, Uncertainty Estimation, and Out-of-Distribution Detection Simply Replacing the Loss and Calibrating. CoRR David L. Macêdo, Cleber Zanchettin, Teresa Bernarda Ludermir
2022	J	`jnl`	Embarrassingly Parallel Independent Training of Multi-Layer Perceptrons with Heterogeneous Architectures. CoRR Felipe Costa Farias, Teresa Bernarda Ludermir, Carmelo José Albanez Bastos Filho
2022	J	`jnl`	Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples. IEEE Trans. Neural Networks Learn. Syst. David L. Macêdo, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, Teresa Bernarda Ludermir
2022	J	`jnl`	Have we been Naive to Select Machine Learning Models? Noisy Data are here to Stay! CoRR Felipe Costa Farias, Teresa Bernarda Ludermir, Carmelo José Albanez Bastos Filho
2022	—	`conf`	Improved Alternative Average Support Value for Automatic Ingredient Substitute Recommendation in Cooking Recipes. BRACIS (2) Luciano D. S. Pacífico, Larissa F. S. Britto, Teresa Bernarda Ludermir
2022	—	`conf`	Improving Group Search Optimization for Automatic Data Clustering Using Merge and Split Operators. BRACIS (1) Luciano D. S. Pacífico, Teresa Bernarda Ludermir
2022	J	`jnl`	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. Appl. Soft Comput. Marcelo Gomes Pereira de Lacerda, Hugo de Andrade Amorim Neto, Teresa Bernarda Ludermir, Herbert Kuchen, Fernando Buarque de Lima Neto
2022	—	`conf`	Training Aware Sigmoidal Optimization. BRACIS (2) David L. Macêdo, Pedro Dreyer, Teresa Bernarda Ludermir, Cleber Zanchettin
2021	J	`jnl`	A systematic literature review on general parameter control for evolutionary and swarm-based algorithms. Swarm Evol. Comput. Marcelo Gomes Pereira de Lacerda, Luis Filipe de Araujo Pessoa, Fernando Buarque de Lima Neto, Teresa Bernarda Ludermir, Herbert Kuchen
2021	J	`jnl`	An evaluation of k-means as a local search operator in hybrid memetic group search optimization for data clustering. Nat. Comput. Luciano D. S. Pacífico, Teresa Bernarda Ludermir
2021	J	`jnl`	Combining STDP and binary networks for reinforcement learning from images and sparse rewards. Neural Networks Sérgio F. Chevtchenko, Teresa Bernarda Ludermir
2021	J	`jnl`	Configurable sublinear circuits for quantum state preparation. CoRR Israel F. Araujo, Daniel K. Park, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira, Francesco Petruccione, Adenilton J. da Silva
2021	J	`jnl`	Distance Metric Learning through Minimization of the Free Energy. CoRR Dusan Stosic, Darko Stosic, Teresa Bernarda Ludermir, Borko D. Stosic
2021	B	`conf`	Entropic Out-of-Distribution Detection. IJCNN David L. Macêdo, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, Teresa Bernarda Ludermir
2021	J	`jnl`	Improving Entropic Out-of-Distribution Detection using Isometric Distances and the Minimum Distance Score. CoRR David L. Macêdo, Teresa Bernarda Ludermir
2021	—	`conf`	Ingredient Substitute Recommendation Based on Collaborative Filtering and Recipe Context for Automatic Allergy-Safe Recipe Generation. WebMedia Luciano D. S. Pacífico, Larissa F. S. Britto, Teresa Bernarda Ludermir
2021	J	`jnl`	Meta-aprendizado para otimizacao de parametros de redes neurais. CoRR Tarsicio Lucas, Teresa Bernarda Ludermir, Ricardo B. C. Prudêncio, Carlos Soares
2021	J	`jnl`	Metodos de Agrupamentos em dois Estagios. CoRR Jefferson R. Souza, Teresa Bernarda Ludermir
2021	J	`jnl`	Otimizacao de Redes Neurais atraves de Algoritmos Geneticos Celulares. CoRR Anderson da Silva, Teresa Bernarda Ludermir
2021	J	`jnl`	Otimizacao de pesos e funcoes de ativacao de redes neurais aplicadas na previsao de series temporais. CoRR Gecynalda Gomes, Teresa Bernarda Ludermir
2021	B	`conf`	Quantum One-class Classification With a Distance-based Classifier. IJCNN Nicolas M. de Oliveira, Lucas P. de Albuquerque, Wilson Rosa de Oliveira, Teresa Bernarda Ludermir, Adenilton J. da Silva
2021	J	`jnl`	Training Aware Sigmoidal Optimizer. CoRR David L. Macêdo, Pedro Dreyer, Teresa Bernarda Ludermir, Cleber Zanchettin
2021	J	`jnl`	Um Metodo para Busca Automatica de Redes Neurais Artificiais. CoRR Anderson P. da Silva, Teresa Bernarda Ludermir, Leandro M. Almeida
2021	J	`jnl`	Uso de GSO cooperativos com decaimentos de pesos para otimizacao de redes neurais. CoRR Danielle Silva, Teresa Bernarda Ludermir
2020	B	`conf`	An Evaluation on Competitive and Cooperative Evolutionary Algorithms for Data Clustering. CEC Luciano D. S. Pacífico, Teresa Bernarda Ludermir
2020	J	`jnl`	An evolutionary algorithm for automated machine learning focusing on classifier ensembles: An improved algorithm and extended results. Theor. Comput. Sci. João Carlos Xavier Junior, Alex Alves Freitas, Teresa Bernarda Ludermir, Antonino Feitosa Neto, Cephas A. S. Barreto
2020	—	`conf`	Backtracking Group Search Optimization: A Hybrid Approach for Automatic Data Clustering. BRACIS Luciano D. S. Pacífico, Teresa Bernarda Ludermir
2020	J	`jnl`	Implementing Any Nonlinear Quantum Neuron. IEEE Trans. Neural Networks Learn. Syst. Fernando M. de Paula Neto, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira, Adenilton J. da Silva
2020	B	`conf`	Learning from Sparse and Delayed Rewards with a Multilayer Spiking Neural Network. IJCNN Sérgio F. Chevtchenko, Teresa Bernarda Ludermir
2020	J	`jnl`	Neural Networks Out-of-Distribution Detection: Hyperparameter-Free Isotropic Maximization Loss, The Principle of Maximum Entropy, Cold Training, and Branched Inferences. CoRR David L. Macêdo, Teresa Bernarda Ludermir
2020	—	`conf`	On Analysing Similarity Knowledge Transfer by Ensembles. IDEAL (2) Danilo Pereira, Flávio Arthur O. Santos, Leonardo N. Matos, Paulo Novais, Cleber Zanchettin, Teresa Bernarda Ludermir
2020	J	`jnl`	Quantum One-class Classification With a Distance-based Classifier. CoRR Nicolas M. de Oliveira, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira, Adenilton J. da Silva
2020	J	`jnl`	Similarity Based Stratified Splitting: an approach to train better classifiers. CoRR Felipe Costa Farias, Teresa Bernarda Ludermir, Carmelo José Albanez Bastos Filho
2019	—	`conf`	A Multivariate Method for Group Profiling Using Subgroup Discovery. BRACIS Tarcísio Lucas, João Gomes, Renato Vimieiro, Ricardo B. C. Prudêncio, Teresa Bernarda Ludermir
2019	—	`conf`	A Partitional Cooperative Coevolutionary Group Search Optimization Approach for Data Clustering. BRACIS Luciano Demetrio Santos Pacífico, Teresa Bernarda Ludermir
2019	B	`conf`	Analyzing the impact of data representations in classification problems using clustering. IJCNN Felipe Costa Farias, Teresa Bernarda Ludermir, Carmelo J. A. Bastos Filho, Flávio Rosendo Da Silva Oliveira
2019	—	`conf`	Automatic Classification of Medicinal Plant Species Based on Color and Texture Features. BRACIS Luciano D. S. Pacífico, Larissa F. S. Britto, Emilia Oliveira, Teresa Bernarda Ludermir
2019	J	`jnl`	Distinction Maximization Loss: Fast, Scalable, Turnkey, and Native Neural Networks Out-of-Distribution Detection simply by Replacing the SoftMax Loss. CoRR David L. Macêdo, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, Alain Tapp, Teresa Bernarda Ludermir
2019	J	`jnl`	Enhancing batch normalized convolutional networks using displaced rectifier linear units: A systematic comparative study. Expert Syst. Appl. David L. Macêdo, Cleber Zanchettin, Adriano L. I. Oliveira, Teresa Bernarda Ludermir
2019	B	`conf`	Hybrid K-Means and Improved Self-Adaptive Particle Swarm Optimization for Data Clustering. IJCNN Luciano D. S. Pacífico, Teresa Bernarda Ludermir
2019	J	`jnl`	Natural image segmentation with non-extensive mixture models. J. Vis. Commun. Image Represent. Dusan Stosic, Darko Stosic, Teresa Bernarda Ludermir, Tsang Ing Ren
2019	—	`conf`	On the Learning Properties of Dueling DDQN in Parameter Control for Evolutionary and Swarm-based Algorithms. LA-CCI Marcelo Gomes Pereira de Lacerda, Fernando Buarque de Lima Neto, Hugo de Andrade Amorim Neto, Herbert Kuchen, Teresa Bernarda Ludermir
2019	—	`conf`	Quantum Neural Networks Learning Algorithm Based on a Global Search. BRACIS Fernando Maciano de Paula Neto, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira
2019	J	`jnl`	Quantum probabilistic associative memory architecture. Neurocomputing Fernando M. de Paula Neto, Adenilton J. da Silva, Wilson Rosa de Oliveira, Teresa Bernarda Ludermir
2018	—	`conf`	A Hybrid Improved Group Search Optimization and Otsu Method for Color Image Segmentation. BRACIS Luciano D. S. Pacífico, Teresa Bernarda Ludermir, Larissa F. S. Britto
2018	—	`conf`	A Novel Evolutionary Algorithm for Automated Machine Learning Focusing on Classifier Ensembles. BRACIS João C. Xavier Junior, Alex Alves Freitas, Antonino Feitosa Neto, Teresa Bernarda Ludermir
2018	B	`conf`	Alternative Population Initialization Schemes for Group Search Optimization for Data Clustering. CEC Luciano D. S. Pacífico, Teresa Bernarda Ludermir
2018	—	`conf`	Evolutionary ELMs with Alternative Treatments for the Population Out-Bounded Individuals. BRACIS Luciano D. S. Pacífico, Teresa Bernarda Ludermir, João F. L. Oliveira
2018	B	`conf`	Hybrid K-Means and Improved Group Search optimization Methods for Data Clustering. IJCNN Luciano D. S. Pacífico, Teresa Bernarda Ludermir
2018	B	`conf`	Population Size Control for Efficiency and Efficacy Optimization in Population Based Metaheuristics. CEC Marcelo Gomes Pereira de Lacerda, Hugo Deandrade Amorim Neto, Teresa Bernarda Ludermir, Herbert Kuchen, Fernando Buarque de Lima Neto
2018	B	`conf`	Quantum Perceptron with Dynamic Internal Memory. IJCNN Fernando M. de Paula Neto, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira, Adenilton J. da Silva
2018	B	`conf`	Reducing SqueezeNet Storage Size with Depthwise Separable Convolutions. IJCNN Aline Gondim Santos, Camila Oliveira de Souza, Cleber Zanchettin, David Macedo, Adriano L. I. Oliveira, Teresa Bernarda Ludermir
2018	B	`conf`	SSDP+: A Diverse and More Informative Subgroup Discovery Approach for High Dimensional Data. CEC Tarcísio Lucas, Renato Vimieiro, Teresa Bernarda Ludermir
2018	B	`conf`	SegNetRes-CRF: A Deep Convolutional Encoder-Decoder Architecture for Semantic Image Segmentation. IJCNN Luiz Antonio de Oliveira Junior, Heitor R. Medeiros, David Macedo, Cleber Zanchettin, Adriano L. I. Oliveira, Teresa Bernarda Ludermir
2018	B	`conf`	Using Meta-learning in the Selection of the Combination Method of a Classifier Ensemble. IJCNN Robercy Alves da Silva, Anne Magály de Paula Canuto, João Carlos Xavier Junior, Teresa Bernarda Ludermir
2017	J	`jnl`	A new evolutionary algorithm for mining top-k discriminative patterns in high dimensional data. Appl. Soft Comput. Tarcísio Lucas, Túlio C. P. B. Silva, Renato Vimieiro, Teresa Bernarda Ludermir
2017	J	`jnl`	BRACIS 2015: Progress in computation intelligence in Brazil. Neurocomputing Gisele Lobo Pappa, Kate Cerqueira Revoredo, Teresa Bernarda Ludermir
2017	J	`jnl`	Chaos in a quantum neuron: An open system approach. Neurocomputing Fernando M. de Paula Neto, Wilson Rosa de Oliveira, Teresa Bernarda Ludermir, Adenilton J. da Silva
2017	J	`jnl`	Editorial: A Successful Year and Looking Forward to 2017 and Beyond. IEEE Trans. Neural Networks Learn. Syst. Haibo He, Robert Haas, Jun Fu, Barbara Hammer, Daniel W. C. Ho, Fakhri Karray, Dhireesha Kudithipudi, José Antonio Lozano, Teresa Bernarda Ludermir, Jacek Mandziuk, Stefano Melacci, Antonio Paiva, Hong Qiao, Alain Rakotomamonjy, Shiliang Sun, Johan A. K. Suykens, Meng Wang
2017	—	`conf`	Non-unitary Quantum Associative Memory. BRACIS Fernando Maciano de Paula Neto, Adenilton José da Silva, Wilson Rosa de Oliveira, Teresa Bernarda Ludermir
2017	—	`conf`	On the Entanglement Dynamics of the Quantum Weightless Neuron. BRACIS Fernando Maciano de Paula Neto, Wilson Rosa de Oliveira, Adenilton José da Silva, Teresa Bernarda Ludermir
2017	J	`jnl`	QRNN: q -Generalized Random Neural Network. IEEE Trans. Neural Networks Learn. Syst. Dusan Stosic, Darko Stosic, Cleber Zanchettin, Teresa Bernarda Ludermir, Borko D. Stosic
2016	J	`jnl`	A hybrid evolutionary decomposition system for time series forecasting. Neurocomputing João Fausto Lorenzato de Oliveira, Teresa Bernarda Ludermir
2016	J	`jnl`	Active learning and data manipulation techniques for generating training examples in meta-learning. Neurocomputing Arthur F. M. Sousa, Ricardo B. C. Prudêncio, Teresa Bernarda Ludermir, Carlos Soares
2016	J	`jnl`	An efficient static gesture recognizer embedded system based on ELM pattern recognition algorithm. J. Syst. Archit. Lucas F. S. Cambuim, Rafael M. Macieira, Fernando M. de Paula Neto, Edna Barros, Teresa Bernarda Ludermir, Cleber Zanchettin
2016	J	`jnl`	Chaos in Quantum Weightless Neuron Node Dynamics. Neurocomputing Fernando M. de Paula Neto, Wilson Rosa de Oliveira, Adenilton J. da Silva, Teresa Bernarda Ludermir
2016	—	`conf`	Data Clustering Using Group Search Optimization with Alternative Fitness Functions. BRACIS Luciano D. S. Pacífico, Teresa Bernarda Ludermir
2016	J	`jnl`	Dynamic selection of forecast combiners. Neurocomputing Anderson Tenório Sergio, Tiago P. F. de Lima, Teresa Bernarda Ludermir
2016	J	`jnl`	GPU-advanced 3D electromagnetic simulations of superconductors in the Ginzburg-Landau formalism. J. Comput. Phys. Darko Stosic, Dusan Stosic, Teresa Bernarda Ludermir, Borko D. Stosic, Milorad V. Milosevic
2016	J	`jnl`	Many Objective Particle Swarm Optimization. Inf. Sci. Elliackin M. N. Figueiredo, Teresa Bernarda Ludermir, Carmelo J. A. Bastos Filho
2016	—	`conf`	Physical Topology Design of Optical Networks Aided by Many-Objective Optimization Algorithms. BRACIS Elliackin M. N. Figueiredo, Danilo R. B. Araujo, Carmelo J. A. Bastos Filho, Teresa Bernarda Ludermir
2016	J	`jnl`	Progress in intelligent systems design. Neurocomputing Ricardo B. C. Prudêncio, Teresa Bernarda Ludermir
2016	J	`jnl`	Quantum perceptron over a field and neural network architecture selection in a quantum computer. CoRR Adenilton J. da Silva, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira
2016	J	`jnl`	Quantum perceptron over a field and neural network architecture selection in a quantum computer. Neural Networks Adenilton J. da Silva, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira
2016	—	`conf`	SSDP: A Simple Evolutionary Approach for Top-K Discriminative Patterns in High Dimensional Databases. BRACIS Tarcisio Pontes, Renato Vimieiro, Teresa Bernarda Ludermir
2016	J	`jnl`	Voting based q-generalized extreme learning machine. Neurocomputing Dusan Stosic, Darko Stosic, Teresa Bernarda Ludermir
2016	J	`jnl`	Weightless neural network parameters and architecture selection in a quantum computer. CoRR Adenilton J. da Silva, Wilson Rosa de Oliveira, Teresa Bernarda Ludermir
2016	J	`jnl`	Weightless neural network parameters and architecture selection in a quantum computer. Neurocomputing Adenilton J. da Silva, Wilson Rosa de Oliveira, Teresa Bernarda Ludermir
2015	—	`conf`	Deep Learning for Wind Speed Forecasting in Northeastern Region of Brazil. BRACIS Anderson Tenório Sergio, Teresa Bernarda Ludermir
2015	B	`conf`	Differential evolution and meta-learning for dynamic ensemble of neural network classifiers. IJCNN Tiago P. F. de Lima, Teresa Bernarda Ludermir
2015	B	`conf`	Extreme Learning Machine for Real Time Recognition of Brazilian Sign Language. SMC Fernando M. de Paula Neto, Lucas F. S. Cambuim, Rafael M. Macieira, Teresa Bernarda Ludermir, Cleber Zanchettin, Edna Natividade da Silva Barros
2015	—	`conf`	Fitting Parameters on Quantum Weightless Neuron Dynamics. BRACIS Fernando M. de Paula Neto, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira, Adenilton J. da Silva
2015	J	`jnl`	Progress in intelligent systems. Neurocomputing Aurora T. R. Pozo, Heloisa de Arruda Camargo, Teresa Bernarda Ludermir
2015	—	`conf`	Solving NP-complete Problems Using Quantum Weightless Neuron Nodes. BRACIS Fernando M. de Paula Neto, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira, Adenilton J. da Silva
2014	—	`conf`	A Group Search Optimization Method for Data Clustering. BRACIS Luciano Demetrio Santos Pacífico, Teresa Bernarda Ludermir
2014	—	`conf`	A Hybrid Evolutionary System for Parameter Optimization and Lag Selection in Time Series Forecasting. BRACIS João Fausto Lorenzato de Oliveira, Teresa Bernarda Ludermir
2014	B	`conf`	A distributed PSO-ARIMA-SVR hybrid system for time series forecasting. SMC João Fausto Lorenzato de Oliveira, Teresa Bernarda Ludermir
2014	J	`jnl`	Advances in intelligent systems. Neurocomputing Teresa Bernarda Ludermir, Cleber Zanchettin, Ana Carolina Lorena
2014	J	`jnl`	An automatic methodology for construction of multi-classifier systems based on the combination of selection and fusion. Prog. Artif. Intell. Tiago P. F. de Lima, Adenilton J. da Silva, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira
2014	B	`conf`	Ensembles of evolutionary Extreme Learning Machines through differential evolution and Fitness Sharing. IJCNN Tiago P. F. de Lima, Teresa Bernarda Ludermir
2014	—	`conf`	Improved Cooperative Group Search Optimization Based on Divide-and-Conquer Strategy. BRACIS Luciano Demetrio Santos Pacífico, Teresa Bernarda Ludermir
2014	—	`conf`	Improving Classifiers and Regions of Competence in Dynamic Ensemble Selection. BRACIS Tiago Pessoa Ferreira de Lima, Anderson Tenório Sergio, Teresa Bernarda Ludermir
2014	B	`conf`	Improving reservoir based wind power forecasting with ensembles. SMC Ronaldo Ribeiro Barbosa de Aquino, Teresa Bernarda Ludermir, Aida Araujo Ferreira, Otoni Nóbrega Neto, Ramon B. Souza, Milde M. S. Lira, Manoel A. Carvalho
2014	—	`conf`	Investigating the use of Echo State Networks for prediction of wind power generation. CIES Ronaldo Ribeiro Barbosa de Aquino, Otoni Nóbrega Neto, Ramon B. Souza, Milde M. S. Lira, Manoel A. Carvalho, Teresa Bernarda Ludermir, Aida Araujo Ferreira
2014	J	`jnl`	Investigating the use of alternative topologies on performance of the PSO-ELM. Neurocomputing Elliackin M. N. Figueiredo, Teresa Bernarda Ludermir
2014	B	`conf`	Iterative ARIMA-multiple support vector regression models for long term time series prediction. ESANN João F. L. Oliveira, Teresa Bernarda Ludermir
2014	B	`conf`	Probabilistic automata simulation with single layer weightless neural networks. ESANN Adenilton J. da Silva, Wilson Rosa de Oliveira, Teresa Bernarda Ludermir
2014	B	`conf`	Reservoir Computing optimization with a hybrid method. IJCNN Anderson Tenório Sergio, Teresa Bernarda Ludermir
2014	B	`conf`	Training a classical weightless neural network in a quantum computer. ESANN Adenilton J. da Silva, Wilson Rosa de Oliveira, Teresa Bernarda Ludermir
2014	B	`conf`	Vector space weightless neural networks. ESANN Wilson Rosa de Oliveira, Adenilton J. da Silva, Teresa Bernarda Ludermir
2013	—	`conf`	A Hybrid Group Search Optimization Based on Fish Swarms. BRACIS João F. L. Oliveira, Luciano D. S. Pacífico, Teresa Bernarda Ludermir
2013	B	`conf`	Active selection of training instances for a random forest meta-learner. IJCNN Arthur F. M. Sousa, Ricardo B. C. Prudêncio, Carlos Soares, Teresa Bernarda Ludermir
2013	J	`jnl`	An approach to reservoir computing design and training. Expert Syst. Appl. Aida Araujo Ferreira, Teresa Bernarda Ludermir, Ronaldo Ribeiro Barbosa de Aquino
2013	J	`jnl`	An automatic method for construction of ensembles to time series prediction. Int. J. Hybrid Intell. Syst. Tiago P. F. de Lima, Teresa Bernarda Ludermir
2013	B	`conf`	Clustering and Selection Using Grouping Genetic Algorithms for Blockmodeling to Construct Neural Network Ensembles. ICTAI Evandro Jose Da Rocha E. Silva, Teresa Bernarda Ludermir, Leandro Maciel Almeida
2013	B	`conf`	Cooperative Group Search Optimization. IEEE Congress on Evolutionary Computation Luciano D. S. Pacífico, Teresa Bernarda Ludermir
2013	B	`conf`	Evolutionary extreme learning machine based on particle swarm optimization and clustering strategies. IJCNN Luciano D. S. Pacífico, Teresa Bernarda Ludermir
2013	B	`conf`	Forecasting models of wind power in Northeastern of Brazil. IJCNN Ronaldo Ribeiro Barbosa de Aquino, Teresa Bernarda Ludermir, Otoni Nóbrega Neto, Aida Araujo Ferreira, Milde M. S. Lira, Manoel A. Carvalho
2013	J	`jnl`	Optimization of the weights and asymmetric activation function family of neural network for time series forecasting. Expert Syst. Appl. Gecynalda Soares da Silva Gomes, Teresa Bernarda Ludermir
2013	B	`conf`	Optimizing Dynamic Ensemble Selection Procedure by Evolutionary Extreme Learning Machines and a Noise Reduction Filter. ICTAI Tiago Pessoa Ferreira de Lima, Teresa Bernarda Ludermir
2013	J	`jnl`	Particle Swarm Optimization of MLP for the identification of factors related to Common Mental Disorders. Expert Syst. Appl. Teresa Bernarda Ludermir, Wilson Rosa de Oliveira
2013	B	`conf`	Using good and bad diversity measures in the design of ensemble systems: A genetic algorithm approach. IEEE Congress on Evolutionary Computation Antonino Feitosa Neto, Anne M. P. Canuto, Teresa Bernarda Ludermir
2012	—	`conf`	A Modified Artificial Fish Swarm Algorithm for the Optimization of Extreme Learning Machines. ICANN (2) João Fausto Lorenzato de Oliveira, Teresa Bernarda Ludermir
2012	B	`conf`	Application of the IPSONet in face detection. IJCNN Elliackin M. N. Figueiredo, Rafael G. Mesquita, Teresa Bernarda Ludermir, George D. C. Cavalcanti
2012	J	`jnl`	Automatic parameters selection in machine learning. Neurocomputing Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto, Marley M. B. R. Vellasco
2012	J	`jnl`	Classical and superposed learning for quantum weightless neural networks. Neurocomputing Adenilton J. da Silva, Wilson Rosa de Oliveira, Teresa Bernarda Ludermir
2012	B	`conf`	Clustering and selection of neural networks using adaptive differential evolution. IJCNN Tiago P. F. de Lima, Adenilton J. da Silva, Teresa Bernarda Ludermir
2012	J	`jnl`	Combining Uncertainty Sampling methods for supporting the generation of meta-examples. Inf. Sci. Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
2012	B	`conf`	Comparing recurrent networks for time-series forecasting. IJCNN Aida Araujo Ferreira, Teresa Bernarda Ludermir, Ronaldo Ribeiro Barbosa de Aquino
2012	—	`conf`	Effect of the PSO Topologies on the Performance of the PSO-ELM. SBRN Elliackin M. N. Figueiredo, Teresa Bernarda Ludermir
2012	—	`conf`	Evolving Neural Networks Using Differential Evolution with Neighborhood-Based Mutation and Simple Subpopulation Scheme. SBRN Nicole L. Mineu, Adenilton J. da Silva, Teresa Bernarda Ludermir
2012	J	`jnl`	Improved Evolutionary Extreme Learning Machines Based on Particle Swarm Optimization and Clustering Approaches. Int. J. Nat. Comput. Res. Luciano D. S. Pacífico, Teresa Bernarda Ludermir
2012	B	`conf`	Improved group search optimization based on opposite populations for feedforward networks training with weight decay. SMC Luciano D. S. Pacífico, Teresa Bernarda Ludermir
2012	B	`conf`	Odor recognition systems for natural gas odorization monitoring. IJCNN Cleber Zanchettin, Leandro M. Almeida, Frederico D. Menezes, Teresa Bernarda Ludermir, Walter M. Azevedo
2012	—	`conf`	On the Universality of Quantum Logical Neural Networks. SBRN Adenilton J. da Silva, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira
2012	—	`conf`	PSO for Reservoir Computing Optimization. ICANN (1) Anderson Tenório Sergio, Teresa Bernarda Ludermir
2012	—	`conf`	Selection and Fusion of Neural Networks via Differential Evolution. IBERAMIA Tiago P. F. de Lima, Adenilton J. da Silva, Teresa Bernarda Ludermir
2011	B	`conf`	A tool to implement probabilistic automata in RAM-based neural networks. IJCNN Marcilio C. P. de Souto, José Carlos Martins Oliveira, Teresa Bernarda Ludermir
2011	B	`conf`	An evolutionary extreme learning machine based on group search optimization. IEEE Congress on Evolutionary Computation Danielle N. G. Silva, Luciano D. S. Pacífico, Teresa Bernarda Ludermir
2011	—	`conf`	Combining Meta-learning and Active Selection of Datasetoids for Algorithm Selection. HAIS (1) Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, Teresa Bernarda Ludermir
2011	B	`conf`	Comparing evolutionary methods for reservoir computing pre-training. IJCNN Aida Araujo Ferreira, Teresa Bernarda Ludermir
2011	J	`jnl`	Comparison of new activation functions in neural network for forecasting financial time series. Neural Comput. Appl. Gecynalda Soares da Silva Gomes, Teresa Bernarda Ludermir, Leyla M. M. R. Lima
2011	J	`jnl`	Feature and algorithm selection with Hybrid Intelligent Techniques. Int. J. Hybrid Intell. Syst. Teresa Bernarda Ludermir, Ricardo Bastos Cavalcante Prudêncio, Cleber Zanchettin
2011	B	`conf`	Frankenstein PSO applied to neural network weights and architectures. IEEE Congress on Evolutionary Computation Natalia Flora de Lima, Teresa Bernarda Ludermir
2011	B	`conf`	Homogeneous Ensemble Selection through Hierarchical Clustering with a Modified Artificial Fish Swarm Algorithm. ICTAI João Fausto Lorenzato de Oliveira, Teresa Bernarda Ludermir
2011	J	`jnl`	Hybrid Training Method for MLP: Optimization of Architecture and Training. IEEE Trans. Syst. Man Cybern. Part B Cleber Zanchettin, Teresa Bernarda Ludermir, Leandro M. Almeida
2011	B	`conf`	Improved Group Search Optimizer based on cooperation among groups for feedforward networks training with Weight Decay. SMC Danielle N. G. Silva, Luciano D. S. Pacífico, Teresa Bernarda Ludermir
2011	—	`ch.`	Selecting Machine Learning Algorithms Using the Ranking Meta-Learning Approach. Meta-Learning in Computational Intelligence Ricardo Bastos Cavalcante Prudêncio, Marcilio C. P. de Souto, Teresa Bernarda Ludermir
2011	J	`jnl`	Selecting variables with search algorithms and neural networks to improve the process of time series forecasting. Int. J. Hybrid Intell. Syst. Ivna Valença, Tarcísio Lucas, Teresa Bernarda Ludermir, Mêuser Jorge Silva Valença
2011	—	`conf`	Uncertainty Sampling-Based Active Selection of Datasetoids for Meta-learning. ICANN (2) Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, Teresa Bernarda Ludermir
2011	B	`conf`	Uncertainty sampling methods for selecting datasets in active meta-learning. IJCNN Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, Teresa Bernarda Ludermir
2010	—	`ed.`	11th Brazilian Symposium on Neural Networks (SBRN 2010), Sao Paulo, 23-28 October, 2010 SBRN Teresa Bernarda Ludermir, Karla Figueiredo, Carlos E. Thomaz
2010	—	`conf`	A Weightless Neural Node Based on a Probabilistic Quantum Memory. SBRN Adenilton J. da Silva, Wilson Rosa de Oliveira, Teresa Bernarda Ludermir
2010	J	`jnl`	A multi-objective memetic and hybrid methodology for optimizing the parameters and performance of artificial neural networks. Neurocomputing Leandro M. Almeida, Teresa Bernarda Ludermir
2010	J	`jnl`	Design of Experiments in Neuro-Fuzzy Systems. Int. J. Comput. Intell. Appl. Cleber Zanchettin, Leandro L. Minku, Teresa Bernarda Ludermir
2010	B	`conf`	Evolutionary strategy for simultaneous optimization of parameters, topology and reservoir weights in Echo State Networks. IJCNN Aida Araujo Ferreira, Teresa Bernarda Ludermir
2010	—	`conf`	Evolving Artificial Neural Networks Using Adaptive Differential Evolution. IBERAMIA Adenilton J. da Silva, Nicole L. Mineu, Teresa Bernarda Ludermir
2010	—	`conf`	Hybrid Systems to Select Variables for Time Series Forecasting Using MLP and Search Algorithms. SBRN Ivna Valença, Teresa Bernarda Ludermir, Mêuser Jorge Silva Valença
2010	—	`conf`	Superposition Based Learning Algorithm. SBRN Adenilton J. da Silva, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira
2010	B	`conf`	Topology optimization for artificial neural networks using differential evolution. IJCNN Nicole L. Mineu, Teresa Bernarda Ludermir, Leandro M. Almeida
2009	—	`conf`	A Two Stage Clustering Method Combining Self-Organizing Maps and Ant K-Means. ICANN (1) Jefferson R. Souza, Teresa Bernarda Ludermir, Leandro M. Almeida
2009	—	`conf`	Active Generation of Training Examples in Meta-Regression. ICANN (1) Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
2009	—	`conf`	An Analysis of Meta-learning Techniques for Ranking Clustering Algorithms Applied to Artificial Data. ICANN (1) Rodrigo G. F. Soares, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho
2009	C	`conf`	Combining Uncertainty Sampling Methods for Active Meta-Learning. ISDA Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
2009	B	`conf`	Genetic algorithm for reservoir computing optimization. IJCNN Aida Araujo Ferreira, Teresa Bernarda Ludermir
2009	—	`conf`	Hybrid Optimization Technique for Artificial Neural Networks Design. ICEIS (2) Cleber Zanchettin, Teresa Bernarda Ludermir
2009	—	`conf`	Hybrid Systems for River Flood Forecasting Using MLP, SOM and Fuzzy Systems. ICANN (1) Ivna Valença, Teresa Bernarda Ludermir
2009	B	`conf`	Neural networks with asymmetric activation function for function approximation. IJCNN Gecynalda Soares da Silva Gomes, Teresa Bernarda Ludermir, Leandro M. Almeida
2009	J	`jnl`	On a hybrid weightless neural system. Int. J. Bio Inspired Comput. Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto, Wilson Rosa de Oliveira
2009	C	`conf`	Optimization of Neural Networks Weights and Architecture: A Multimodal Methodology. ISDA Antonio Miguel F. Zarth, Teresa Bernarda Ludermir
2008	J	`jnl`	A quickly trainable hybrid SOM-based document organization system. Neurocomputing Renato Fernandes Corrêa, Teresa Bernarda Ludermir
2008	B	`conf`	Active Meta-Learning with Uncertainty Sampling and Outlier Detection. IJCNN Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
2008	Misc	`conf`	An Evolutionary Approach for Tuning Artificial Neural Network Parameters. HAIS Leandro M. Almeida, Teresa Bernarda Ludermir
2008	B	`conf`	An evolutionary approach for the clustering data problem. IJCNN Rodrigo G. F. Soares, Kelly P. Silva, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho
2008	B	`conf`	An improved method for automatically searching near-optimal artificial Neural Networks. IJCNN Leandro M. Almeida, Teresa Bernarda Ludermir
2008	J	`jnl`	Clustering and co-evolution to construct neural network ensembles: An experimental study. Neural Networks Fernanda L. Minku, Teresa Bernarda Ludermir
2008	J	`jnl`	Clustering cancer gene expression data: a comparative study. BMC Bioinform. Marcílio Carlos Pereira de Souto, Ivan G. Costa, Daniel S. A. de Araujo, Teresa Bernarda Ludermir, Alexander Schliep
2008	B	`conf`	Comparative study on normalization procedures for cluster analysis of gene expression datasets. IJCNN Marcílio Carlos Pereira de Souto, Daniel S. A. de Araujo, Ivan G. Costa, Rodrigo G. F. Soares, Teresa Bernarda Ludermir, Alexander Schliep
2008	C	`conf`	Complementary Log-Log and Probit: Activation Functions Implemented in Artificial Neural Networks. HIS Gecynalda Soares da Silva Gomes, Teresa Bernarda Ludermir
2008	B	`conf`	Evolving both size and accuracy of RBF networks using Memetic Algorithm. IJCNN Kelly P. Silva, Rodrigo G. F. Soares, Francisco de A. T. de Carvalho, Teresa Bernarda Ludermir
2008	B	`conf`	Feature subset selection in a methodology for training and improving artificial neural network weights and connections. IJCNN Cleber Zanchettin, Teresa Bernarda Ludermir
2008	J	`jnl`	Forecasting models for interval-valued time series. Neurocomputing André Luis Santiago Maia, Francisco de A. T. de Carvalho, Teresa Bernarda Ludermir
2008	C	`conf`	Improved Semantic Mapping and SOM Applied to Document Organization. HIS Renato Fernandes Corrêa, Teresa Bernarda Ludermir
2008	B	`conf`	Investigating the use of Reservoir Computing for forecasting the hourly wind speed in short -term. IJCNN Aida Araujo Ferreira, Teresa Bernarda Ludermir, Ronaldo Ribeiro Barbosa de Aquino, Milde M. S. Lira, Otoni Nóbrega Neto
2008	—	`conf`	Predicting the Performance of Learning Algorithms Using Support Vector Machines as Meta-regressors. ICANN (1) Silvio B. Guerra, Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
2008	—	`conf`	Quantum Logical Neural Networks. SBRN Wilson Rosa de Oliveira, Adenilton J. da Silva, Teresa Bernarda Ludermir, Amanda Leonel, Wilson R. Galindo, Jefferson C. C. Pereira
2008	B	`conf`	Ranking and selecting clustering algorithms using a meta-learning approach. IJCNN 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
2008	—	`conf`	Selecting Neural Network Forecasting Models Using the Zoomed-Ranking Approach. SBRN Patrícia M. Santos, Teresa Bernarda Ludermir, Ricardo Bastos Cavalcante Prudêncio
2008	J	`jnl`	Selective generation of training examples in active meta-learning. Int. J. Hybrid Intell. Syst. Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
2008	Misc	`conf`	Semantic mapping and K-means applied to hybrid SOM-based document organization system construction. SAC Renato Fernandes Corrêa, Teresa Bernarda Ludermir
2008	J	`jnl`	Special Issue HIS 2007. Int. J. Hybrid Intell. Syst. Teresa Bernarda Ludermir, Andreas König, André Carlos Ponce de Leon Ferreira de Carvalho
2008	C	`conf`	Tuning Artificial Neural Networks Parameters Using an Evolutionary Algorithm. HIS Leandro M. Almeida, Teresa Bernarda Ludermir
2008	C	`conf`	Using Reservoir Computing for Forecasting Time Series: Brazilian Case Study. HIS Aida Araujo Ferreira, Teresa Bernarda Ludermir
2008	—	`conf`	Using Support Vector Machines to Predict the Performance of MLP Neural Networks. SBRN Ricardo Bastos Cavalcante Prudêncio, Silvio B. Guerra, Teresa Bernarda Ludermir
2008	—	`conf`	Weightless Neural Networks: Knowledge-Based Inference System. SBRN Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto, Wilson Rosa de Oliveira
2007	—	`conf`	Active Learning to Support the Generation of Meta-examples. ICANN (1) Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
2007	C	`conf`	Active Selection of Training Examples for Meta-Learning. HIS Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
2007	B	`conf`	Analysis of mammogram using self-organizing neural networks based on spatial isomorphism. IJCNN Aida Araujo Ferreira, Francisco Nascimento Jr., Ing Ren Tsang, George D. C. Cavalcanti, Teresa Bernarda Ludermir, Ronaldo Ribeiro Barbosa de Aquino
2007	C	`conf`	Application of a Hybrid Classifier to the Recognition of Petrochemical Odors. HIS Eleonora Ma. Jesus Oliveira, Paulemir G. Campos, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho, Wilson Rosa de Oliveira
2007	B	`conf`	Automatically searching near-optimal artificial neural networks. ESANN Leandro M. Almeida, Teresa Bernarda Ludermir
2007	B	`conf`	Comparison of the Effectiveness of Different Cost Functions in Global Optimization Techniques. IJCNN Cleber Zanchettin, Teresa Bernarda Ludermir
2007	C	`conf`	Particle Swarm Optimization of Neural Network Architectures andWeights. HIS Marcio Carvalho, Teresa Bernarda Ludermir
2007	J	`jnl`	Wavelet filter for noise reduction and signal compression in an artificial nose. Appl. Soft Comput. Cleber Zanchettin, Teresa Bernarda Ludermir
2006	C	`conf`	A Hybrid Method for Searching Near-Optimal Artificial Neural Networks. HIS Leandro M. Almeida, Teresa Bernarda Ludermir
2006	—	`conf`	A Hybrid Model for Symbolic Interval Time Series Forecasting. ICONIP (2) André Luis Santiago Maia, Francisco de A. T. de Carvalho, Teresa Bernarda Ludermir
2006	—	`conf`	A Hybrid SOM-Based Document Organization System. SBRN Renato Fernandes Corrêa, Teresa Bernarda Ludermir
2006	—	`conf`	A Machine Learning Approach to Define Weights for Linear Combination of Forecasts. ICANN (1) Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
2006	B	`conf`	A methodology to train and improve artificial neural networks' weights and connections. IJCNN Cleber Zanchettin, Teresa Bernarda Ludermir
2006	—	`conf`	An Analysis Of PSO Hybrid Algorithms For Feed-Forward Neural Networks Training. SBRN Marcio Carvalho, Teresa Bernarda Ludermir
2006	J	`jnl`	An Optimization Methodology for Neural Network Weights and Architectures. IEEE Trans. Neural Networks Teresa Bernarda Ludermir, Akio Yamazaki, Cleber Zanchettin
2006	—	`conf`	EFuNN Ensembles Construction Using CONE with Multi-objective GA. SBRN Fernanda L. Minku, Teresa Bernarda Ludermir
2006	—	`conf`	EFuNN Ensembles Construction Using a Clustering Method and a Coevolutionary Multi-objective Genetic Algorithm. ICONIP (3) Fernanda L. Minku, Teresa Bernarda Ludermir
2006	B	`conf`	EFuNNs Ensembles Construction Using a Clustering Method and a Coevolutionary Genetic Algorithm. IEEE Congress on Evolutionary Computation Fernanda L. Minku, Teresa Bernarda Ludermir
2006	—	`conf`	Feature Selection for Neural Networks Through Binomial Regression. ICONIP (2) Gecynalda Soares da Silva Gomes, Teresa Bernarda Ludermir
2006	—	`conf`	Hybrid Training of Feed-Forward Neural Networks with Particle Swarm Optimization. ICONIP (2) Marcio Carvalho, Teresa Bernarda Ludermir
2006	B	`conf`	Hybrid model with dynamic architecture for forecasting time series. IJCNN Gecynalda Soares da Silva Gomes, André Luis Santiago Maia, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho, Aluízio F. R. Araújo
2006	J	`jnl`	Improving self-organization of document collections by semantic mapping. Neurocomputing Renato Fernandes Corrêa, Teresa Bernarda Ludermir
2006	—	`conf`	LearningWeights for Linear Combination of Forecasting Methods. SBRN Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
2006	C	`conf`	Particle Swarm Optimization of Feed-Forward Neural Networks with Weight Decay. HIS Marcio Carvalho, Teresa Bernarda Ludermir
2006	—	`conf`	Symbolic interval time series forecasting using a hybrid model. SBRN André Luis Santiago Maia, Francisco de A. T. de Carvalho, Teresa Bernarda Ludermir
2006	—	`conf`	The Influence of Different Cost Functions in Global Optimization Techniques. SBRN Cleber Zanchettin, Teresa Bernarda Ludermir
2005	B	`conf`	A comparative study of neural network to artificial noses. IJCNN Aida Araujo Ferreira, Teresa Bernarda Ludermir, Ronaldo Ribeiro Barbosa de Aquino
2005	—	`conf`	Comparing Neural Network Architecture for Pattern Recognize System on Artificial Noses. ICANN (1) Aida Araujo Ferreira, Teresa Bernarda Ludermir, Ronaldo Ribeiro Barbosa de Aquino
2005	—	`ch.`	Credit Card Users' Data Mining. Encyclopedia of Information Science and Technology (I) André Carlos Ponce de Leon Ferreira de Carvalho, Antônio de Pádua Braga, Teresa Bernarda Ludermir
2005	C	`conf`	Design of Experiments in Neuro-Fuzzy Systems. HIS Cleber Zanchettin, Fernanda L. Minku, Teresa Bernarda Ludermir
2005	J	`jnl`	Equivalence between RAM-based neural networks and probabilistic automata. IEEE Trans. Neural Networks Marcílio Carlos Pereira de Souto, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira
2005	J	`jnl`	Evolutionary Radial Basis Functions for Credit Assessment. Appl. Intell. Estefane G. M. de Lacerda, André Carlos Ponce de Leon Ferreira de Carvalho, Antônio de Pádua Braga, Teresa Bernarda Ludermir
2005	B	`conf`	Evolutionary strategies and genetic algorithms for dynamic parameter optimization of evolving fuzzy neural networks. Congress on Evolutionary Computation Fernanda L. Minku, Teresa Bernarda Ludermir
2005	C	`conf`	Hybrid Optimization Algorithm for the Definition of MLP Neural Network Architectures and Weights. HIS Amanda Pimentel e Silva Lins, Teresa Bernarda Ludermir
2005	—	`conf`	Hybrid Technique for Artificial Neural Network Architecture and Weight Optimization. PKDD Cleber Zanchettin, Teresa Bernarda Ludermir
2005	J	`jnl`	Hybrid neural systems for pattern recognition in artificial noses. Int. J. Neural Syst. Cleber Zanchettin, Teresa Bernarda Ludermir
2005	C	`conf`	Literal and ProRulext: Algorithms for Rule Extraction of ANNs. HIS Paulemir G. Campos, Teresa Bernarda Ludermir
2005	C	`conf`	Modeling of the rainfall-runoff relationship with artificial neural network. HIS Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir, Anelle Valença
2005	—	`conf`	Neural Network Use for the Identification of Factors Related to Common Mental Disorders. ICANN (1) Teresa Bernarda Ludermir, C. R. S. Lopes, A. B. Ludermir, Marcílio Carlos Pereira de Souto
2005	C	`conf`	River Flow Forecasting for Reservoir management through Neural Networks. HIS Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir, Anelle Valença
2005	—	`conf`	River Flow Forecasting with Constructive Neural Network. Australian Conference on Artificial Intelligence Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir, Anelle Valença
2004	J	`jnl`	A Modal Symbolic Classifier for selecting time series models. Pattern Recognit. Lett. Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho
2004	B	`conf`	A Neighbor Generation Mechanism Optimizing Neural Networks. ICONIP Amanda Pimentel e Silva Lins, Teresa Bernarda Ludermir
2004	B	`conf`	Comparative study of connectionist techniques for implementing the pattern recognition system of an artificial nose. IJCNN Marcelo B. de Almeida, Marcilio C. P. de Souto, Teresa Bernarda Ludermir
2004	—	`conf`	Comparing Metrics in Fuzzy Clustering for Symbolic Data on SODAS Format. IBERAMIA Alzennyr Da Silva, Francisco de A. T. de Carvalho, Teresa Bernarda Ludermir, Nicomedes L. Cavalcanti
2004	B	`conf`	Dimensionality Reduction by Semantic Mapping in Text Categorization. ICONIP Renato Fernandes Corrêa, Teresa Bernarda Ludermir
2004	B	`conf`	Evolving Fuzzy Neural Networks Applied to Odor Recognition. ICONIP Cleber Zanchettin, Teresa Bernarda Ludermir
2004	B	`conf`	Evolving fuzzy neural networks applied to odor recognition in an artificial nose. IJCNN Cleber Zanchettin, Teresa Bernarda Ludermir
2004	B	`conf`	Hydrological Forecasting and Updating Procedures for Neural Network. ICONIP Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir
2004	B	`conf`	MLP networks for classification and prediction with rule extraction mechanism. IJCNN Paulemir G. Campos, Eleonora Ma. Jesus Oliveira, Teresa Bernarda Ludermir, Aluízio F. R. Araújo
2004	J	`jnl`	Meta-learning approaches to selecting time series models. Neurocomputing Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
2004	C	`conf`	Selection of Time Series Forecasting Models based on Performance Information. HIS Patrícia Maforte dos Santos, Teresa Bernarda Ludermir, Ricardo Bastos Cavalcante Prudêncio
2004	—	`conf`	Using Machine Learning Techniques to Combine Forecasting Methods. Australian Conference on Artificial Intelligence Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
2004	B	`conf`	Web Documents Categorization Using Neural Networks. ICONIP Renato Fernandes Corrêa, Teresa Bernarda Ludermir
2003	C	`conf`	A Neuro-Fuzzy Model Applied to Odor Recognition in an Artificial Nose. HIS Cleber Zanchettin, Teresa Bernarda Ludermir
2003	J	`jnl`	Introduction by Guest Editors. Int. J. Neural Syst. Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto
2003	J	`jnl`	Modeling a Particular Decision Process by Using a Modulatory Activation Function. Int. J. Neural Syst. Jairo Diniz Filho, Teresa Bernarda Ludermir
2003	J	`jnl`	Neural Network Training with Global Optimization Techniques. Int. J. Neural Syst. Akio Yamazaki, Teresa Bernarda Ludermir
2003	B	`conf`	Neural networks for odor recognition in artificial noses. IJCNN Teresa Bernarda Ludermir, Akio Yamazaki
2003	C	`conf`	Selecting and Ranking Time Series Models Using the NOEMON Approach. ICANN Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
2003	C	`conf`	Wavelet Filter for Noise Reduction and Signal Compression in an Artificial Nose. HIS Cleber Zanchettin, Teresa Bernarda Ludermir
2002	—	`ed.`	7th Brazilian Symposium on Neural Networks (SBRN 2002), 11-14 November 2002, Recife, Brazil SBRN Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto
2002	—	`conf`	A Fuzzy Approach to Support a Musculoskeletal Disorders Diagnosis. SBRN Domingos Vanderlei Filho, Marcos A. dos Santos, Teresa Bernarda Ludermir, Mêuser Jorge Silva Valença
2002	—	`conf`	A Study of Crossvalidation and Bootstrap as Objective Functions for Genetic Algorithms. SBRN Estefane G. M. de Lacerda, André Carlos Ponce de Leon Ferreira de Carvalho, Teresa Bernarda Ludermir
2002	—	`conf`	Automatic Text Categorization: Case Study. SBRN Renato Fernandes Corrêa, Teresa Bernarda Ludermir
2002	—	`conf`	Forecasting the IBOVESPA Using NARX Networks and Random Walk Model . SBRN Eleonora Ma. Jesus Oliveira, Teresa Bernarda Ludermir
2002	—	`conf`	Global Optimization Methods for Designing and Training Neural Networks. SBRN Akio Yamazaki, Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto
2002	—	`conf`	Implementation of Probabilistic Automata in Weightless Neural Networks. SBRN José Carlos Martins Oliveira, Marcílio Carlos Pereira de Souto, Teresa Bernarda Ludermir
2002	J	`jnl`	Model selection via Genetic Algorithms for RBF networks. J. Intell. Fuzzy Syst. Estefane G. M. de Lacerda, André Carlos Ponce de Leon Ferreira de Carvalho, Teresa Bernarda Ludermir
2002	—	`conf`	Modulatory Interaction as a Support to Modeling Neural Substrates of the Decision Process. SBRN Jairo Diniz Filho, Teresa Bernarda Ludermir
2002	—	`conf`	Neural Networks for the analysis of Common Mental Disorders Factors. SBRN C. R. S. Lopes, Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto, A. B. Ludermir
2002	—	`conf`	NeuroInflow: The New Model to Forecast Average Monthly Inflow. SBRN Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir
2002	—	`conf`	Pattern recognition of gases of petroleum based on RBF model. SBRN Maria Silva Santos Barbosa, Teresa Bernarda Ludermir, Marizete Silva Santos, Francisco Luiz dos Santos, José Edison Gomes de Souza, Celso Pinto de Melo
2002	C	`conf`	Selection of Models for Time Series Prediction via Meta-Learning. HIS Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
2002	J	`jnl`	The VIIth Brazilian Symposium on Neural Networks (SBRN'02). J. Intell. Fuzzy Syst. Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto
2002	—	`conf`	Turing Machines with Finite Memory. SBRN Wilson Rosa de Oliveira, Marcílio Carlos Pereira de Souto, Teresa Bernarda Ludermir
2002	J	`jnl`	Turing's analysis of computation and artificial neural networks. J. Intell. Fuzzy Syst. Wilson Rosa de Oliveira, Marcílio Carlos Pereira de Souto, Teresa Bernarda Ludermir
2002	J	`jnl`	Um Tutorial sobre Algoritmos Genéticos. RITA Estefane G. M. de Lacerda, André Carlos Ponce de Leon Ferreira de Carvalho, Teresa Bernarda Ludermir
2001	J	`jnl`	Evolutionary Optimization of RBF Networks. Int. J. Neural Syst. Estefane G. M. de Lacerda, André Carlos Ponce de Leon Ferreira de Carvalho, Teresa Bernarda Ludermir
2001	J	`jnl`	Hybrid systems of local basis functions. Intell. Data Anal. Ricardo Bezerra de Andrade e Silva, Teresa Bernarda Ludermir
2000	—	`conf`	Encoding of Probabilistic Automata into RAM-Based Neural Networks. IJCNN (3) Marcílio Carlos Pereira de Souto, Teresa Bernarda Ludermir, Marcília A. Campos
2000	—	`conf`	Evolutionary Optimization of RBF Networks. SBRN Estefane G. M. de Lacerda, Teresa Bernarda Ludermir, André Carlos Ponce de Leon Ferreira de Carvalho
2000	—	`conf`	Modeling Modulatory Aspects in Association Processes. NCPW Jairo Diniz Filho, Teresa Bernarda Ludermir
2000	—	`conf`	Monthly Streamflow Forecasting Using an Neural Fuzzy Network Model. SBRN Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir
2000	A*	`conf`	Obtaining Simplified Rule Bases by Hybrid Learning. ICML Ricardo Bezerra de Andrade e Silva, Teresa Bernarda Ludermir
1999	J	`jnl`	Editorial: "Artificial Neural Networks in Brazil: An Introduction to the Special Issue of IJNS". Int. J. Neural Syst. Antônio de Pádua Braga, Teresa Bernarda Ludermir
1999	J	`jnl`	Knowledge Extraction: A Comparison between Symbolic and Connectionist Methods. Int. J. Neural Syst. Cristiane Nobre, E. Martineli, Antônio de Pádua Braga, André Carlos Ponce de Leon Ferreira de Carvalho, S. Rezende, José L. Braga, Teresa Bernarda Ludermir
1999	B	`conf`	Multiplicative-additive neural networks with active neurons. IJCNN Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir
1999	B	`conf`	Neural network methods for rule induction. IJCNN Ricardo Bezerra de Andrade e Silva, Teresa Bernarda Ludermir
1999	B	`conf`	Rule extraction from Boolean artificial neural networks. IJCNN Marcelo M. de Barros, Jeferson L. F. Valadares, Teresa Bernarda Ludermir
1999	B	`conf`	Self-organization sigmoidal blocks networks. IJCNN Mêuser J. S. Valença, Teresa Bernarda Ludermir
1999	J	`jnl`	Sequential RAM-based Neural Networks: Learnability, Generalisation, Knowledge Extraction, and Grammatical Inference. Int. J. Neural Syst. Marcílio Carlos Pereira de Souto, Paulo J. L. Adeodato, Teresa Bernarda Ludermir
1999	B	`conf`	Using factorial design to optimise neural networks. IJCNN Marizete Silva Santos, Teresa Bernarda Ludermir
1998	—	`ed.`	5th Brazilian Symposium on Neural Networks (SBRN '98), 9-11 December 1998, Belo Horizonte, Brazil SBRN Antônio de Pádua Braga, Teresa Bernarda Ludermir
1998	B	`conf`	Extracting Rules from Boolean Neural Networks. ICONIP Teresa Bernarda Ludermir, Wilson Rosa de Oliveira
1998	—	`conf`	Extracting Rules from Feedforward Boolean Neural Networks. SBRN Teresa Bernarda Ludermir
1998	—	`conf`	Self-Organizing Modeling in Forecasting Daily River Flows. SBRN Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir
1990	—	`—`	Automata theoretic aspects of temporal behaviour and computability in logical neural networks. Teresa Bernarda Ludermir