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ORCIDTeresa Bernarda Ludermir
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- affiliation: Federal University of Pernambuco, Recife, Brazil
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2020 – today
- 2024
[j75]David Macêdo, Cleber Zanchettin
, Teresa Bernarda Ludermir:
Sigmoidal learning rate optimizer for deep neural network training using a two-phase adaptation approach. Appl. Soft Comput. 167: 112264 (2024)- [c183]Sérgio F. Chevtchenko, Yeshwanth Bethi, Teresa Bernarda Ludermir, Saeed Afshar:
A Neuromorphic Architecture for Reinforcement Learning from Real-Valued Observations. IJCNN 2024: 1-10 - 2023
- [j74]Israel F. Araujo, Daniel K. Park, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira, Francesco Petruccione, Adenilton J. da Silva:
Configurable sublinear circuits for quantum state preparation. Quantum Inf. Process. 22(2): 123 (2023) - [j73]Marcelo Gomes Pereira de Lacerda, Fernando Buarque de Lima Neto, Teresa Bernarda Ludermir, Herbert Kuchen:
Out-of-the-box parameter control for evolutionary and swarm-based algorithms with distributed reinforcement learning. Swarm Intell. 17(3): 173-217 (2023) - [i20]Sérgio F. Chevtchenko, Yeshwanth Bethi, Teresa Bernarda Ludermir, Saeed Afshar:
A Neuromorphic Architecture for Reinforcement Learning from Real-Valued Observations. CoRR abs/2307.02947 (2023) - 2022
- [j72]Marcelo Gomes Pereira de Lacerda, Hugo de Andrade Amorim Neto, Teresa Bernarda Ludermir, Herbert Kuchen, Fernando Buarque de Lima Neto:
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. 123: 108920 (2022) - [j71]Sérgio F. Chevtchenko, Eduardo J. Barbosa, Marcelo Cabral Cavalcanti, Gustavo Medeiros de Souza Azevedo, Teresa Bernarda Ludermir:
Combining PPO and incremental conductance for MPPT under dynamic shading and temperature. Appl. Soft Comput. 131: 109748 (2022) - [j70]David Macêdo, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, Teresa Bernarda Ludermir:
Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2350-2364 (2022) - [c182]David Macêdo, Pedro Dreyer, Teresa Bernarda Ludermir, Cleber Zanchettin:
Training Aware Sigmoidal Optimization. BRACIS (2) 2022: 123-138 - [c181]Luciano D. S. Pacífico, Teresa Bernarda Ludermir:
Improving Group Search Optimization for Automatic Data Clustering Using Merge and Split Operators. BRACIS (1) 2022: 340-354 - [c180]Luciano D. S. Pacífico, Larissa F. S. Britto, Teresa Bernarda Ludermir:
Improved Alternative Average Support Value for Automatic Ingredient Substitute Recommendation in Cooking Recipes. BRACIS (2) 2022: 373-387 - [i19]David Macêdo, Cleber Zanchettin, Teresa Bernarda Ludermir:
Distinction Maximization Loss: Efficiently Improving Classification Accuracy, Uncertainty Estimation, and Out-of-Distribution Detection Simply Replacing the Loss and Calibrating. CoRR abs/2205.05874 (2022) - [i18]Felipe Costa Farias, Teresa Bernarda Ludermir, Carmelo José Albanez Bastos Filho:
Embarrassingly Parallel Independent Training of Multi-Layer Perceptrons with Heterogeneous Architectures. CoRR abs/2206.08369 (2022) - [i17]Felipe Costa Farias, Teresa Bernarda Ludermir, Carmelo José Albanez Bastos Filho:
Have we been Naive to Select Machine Learning Models? Noisy Data are here to Stay! CoRR abs/2207.06651 (2022) - 2021
- [j69]Luciano D. S. Pacífico, Teresa Bernarda Ludermir:
An evaluation of k-means as a local search operator in hybrid memetic group search optimization for data clustering. Nat. Comput. 20(3): 611-636 (2021) - [j68]Sérgio F. Chevtchenko, Teresa Bernarda Ludermir:
Combining STDP and binary networks for reinforcement learning from images and sparse rewards. Neural Networks 144: 496-506 (2021) - [j67]Marcelo Gomes Pereira de Lacerda, Luis Filipe de Araujo Pessoa, Fernando Buarque de Lima Neto, Teresa Bernarda Ludermir, Herbert Kuchen:
A systematic literature review on general parameter control for evolutionary and swarm-based algorithms. Swarm Evol. Comput. 60: 100777 (2021) - [c179]David Macêdo, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, Teresa Bernarda Ludermir:
Entropic Out-of-Distribution Detection. IJCNN 2021: 1-8 - [c178]Nicolas M. de Oliveira, Lucas P. de Albuquerque, Wilson Rosa de Oliveira, Teresa Bernarda Ludermir, Adenilton J. da Silva:
Quantum One-class Classification With a Distance-based Classifier. IJCNN 2021: 1-7 - [c177]Luciano D. S. Pacífico, Larissa F. S. Britto, Teresa Bernarda Ludermir:
Ingredient Substitute Recommendation Based on Collaborative Filtering and Recipe Context for Automatic Allergy-Safe Recipe Generation. WebMedia 2021: 97-104 - [i16]David Macêdo, Pedro Dreyer, Teresa Bernarda Ludermir, Cleber Zanchettin:
Training Aware Sigmoidal Optimizer. CoRR abs/2102.08716 (2021) - [i15]David Macêdo, Teresa Bernarda Ludermir:
Improving Entropic Out-of-Distribution Detection using Isometric Distances and the Minimum Distance Score. CoRR abs/2105.14399 (2021) - [i14]Dusan Stosic, Darko Stosic, Teresa Bernarda Ludermir, Borko D. Stosic:
Distance Metric Learning through Minimization of the Free Energy. CoRR abs/2106.05495 (2021) - [i13]Danielle Silva, Teresa Bernarda Ludermir:
Uso de GSO cooperativos com decaimentos de pesos para otimizacao de redes neurais. CoRR abs/2107.02080 (2021) - [i12]Anderson P. da Silva, Teresa Bernarda Ludermir, Leandro M. Almeida:
Um Metodo para Busca Automatica de Redes Neurais Artificiais. CoRR abs/2107.04702 (2021) - [i11]Anderson da Silva, Teresa Bernarda Ludermir:
Otimizacao de Redes Neurais atraves de Algoritmos Geneticos Celulares. CoRR abs/2107.08326 (2021) - [i10]Gecynalda Gomes, Teresa Bernarda Ludermir:
Otimizacao de pesos e funcoes de ativacao de redes neurais aplicadas na previsao de series temporais. CoRR abs/2107.14370 (2021) - [i9]Jefferson R. Souza, Teresa Bernarda Ludermir:
Metodos de Agrupamentos em dois Estagios. CoRR abs/2108.01123 (2021) - [i8]Israel F. Araujo, Daniel K. Park, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira, Francesco Petruccione, Adenilton J. da Silva:
Configurable sublinear circuits for quantum state preparation. CoRR abs/2108.10182 (2021) - [i7]Tarsicio Lucas, Teresa Bernarda Ludermir, Ricardo B. C. Prudêncio, Carlos Soares:
Meta-aprendizado para otimizacao de parametros de redes neurais. CoRR abs/2109.13745 (2021) - 2020
- [j66]João Carlos Xavier Junior, Alex Alves Freitas, Teresa Bernarda Ludermir, Antonino Feitosa Neto, Cephas A. S. Barreto:
An evolutionary algorithm for automated machine learning focusing on classifier ensembles: An improved algorithm and extended results. Theor. Comput. Sci. 805: 1-18 (2020) - [j65]Fernando M. de Paula Neto, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira, Adenilton J. da Silva:
Implementing Any Nonlinear Quantum Neuron. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3741-3746 (2020) - [c176]Luciano D. S. Pacífico, Teresa Bernarda Ludermir:
Backtracking Group Search Optimization: A Hybrid Approach for Automatic Data Clustering. BRACIS 2020: 64-78 - [c175]Luciano D. S. Pacífico, Teresa Bernarda Ludermir:
An Evaluation on Competitive and Cooperative Evolutionary Algorithms for Data Clustering. CEC 2020: 1-8 - [c174]Danilo Pereira, Flávio Arthur O. Santos, Leonardo N. Matos, Paulo Novais, Cleber Zanchettin, Teresa Bernarda Ludermir:
On Analysing Similarity Knowledge Transfer by Ensembles. IDEAL (2) 2020: 202-210 - [c173]Sérgio F. Chevtchenko, Teresa Bernarda Ludermir:
Learning from Sparse and Delayed Rewards with a Multilayer Spiking Neural Network. IJCNN 2020: 1-8 - [i6]David Macêdo, Teresa Bernarda Ludermir:
Neural Networks Out-of-Distribution Detection: Hyperparameter-Free Isotropic Maximization Loss, The Principle of Maximum Entropy, Cold Training, and Branched Inferences. CoRR abs/2006.04005 (2020) - [i5]Nicolas M. de Oliveira, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira, Adenilton J. da Silva:
Quantum One-class Classification With a Distance-based Classifier. CoRR abs/2007.16200 (2020) - [i4]Felipe Costa Farias, Teresa Bernarda Ludermir, Carmelo José Albanez Bastos Filho:
Similarity Based Stratified Splitting: an approach to train better classifiers. CoRR abs/2010.06099 (2020)
2010 – 2019
- 2019
- [j64]David Macêdo, Cleber Zanchettin, Adriano L. I. Oliveira, Teresa Bernarda Ludermir:
Enhancing batch normalized convolutional networks using displaced rectifier linear units: A systematic comparative study. Expert Syst. Appl. 124: 271-281 (2019) - [j63]Fernando M. de Paula Neto, Adenilton J. da Silva, Wilson Rosa de Oliveira, Teresa Bernarda Ludermir:
Quantum probabilistic associative memory architecture. Neurocomputing 351: 101-110 (2019) - [j62]Dusan Stosic, Darko Stosic, Teresa Bernarda Ludermir, Tsang Ing Ren:
Natural image segmentation with non-extensive mixture models. J. Vis. Commun. Image Represent. 63 (2019) - [c172]Luciano Demetrio Santos Pacífico, Teresa Bernarda Ludermir:
A Partitional Cooperative Coevolutionary Group Search Optimization Approach for Data Clustering. BRACIS 2019: 347-352 - [c171]Tarcísio Lucas, João Gomes, Renato Vimieiro, Ricardo B. C. Prudêncio, Teresa Bernarda Ludermir:
A Multivariate Method for Group Profiling Using Subgroup Discovery. BRACIS 2019: 371-376 - [c170]Luciano D. S. Pacífico, Larissa F. S. Britto, Emilia Oliveira, Teresa Bernarda Ludermir:
Automatic Classification of Medicinal Plant Species Based on Color and Texture Features. BRACIS 2019: 741-746 - [c169]Fernando Maciano de Paula Neto, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira:
Quantum Neural Networks Learning Algorithm Based on a Global Search. BRACIS 2019: 842-847 - [c168]Felipe Costa Farias, Teresa Bernarda Ludermir, Carmelo J. A. Bastos Filho, Flávio Rosendo Da Silva Oliveira:
Analyzing the impact of data representations in classification problems using clustering. IJCNN 2019: 1-6 - [c167]Luciano D. S. Pacífico, Teresa Bernarda Ludermir:
Hybrid K-Means and Improved Self-Adaptive Particle Swarm Optimization for Data Clustering. IJCNN 2019: 1-7 - [c166]Marcelo Gomes Pereira de Lacerda, Fernando Buarque de Lima Neto, Hugo de Andrade Amorim Neto, Herbert Kuchen, Teresa Bernarda Ludermir:
On the Learning Properties of Dueling DDQN in Parameter Control for Evolutionary and Swarm-based Algorithms. LA-CCI 2019: 1-6 - [i3]David Macêdo, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, Alain Tapp, Teresa Bernarda Ludermir:
Distinction Maximization Loss: Fast, Scalable, Turnkey, and Native Neural Networks Out-of-Distribution Detection simply by Replacing the SoftMax Loss. CoRR abs/1908.05569 (2019) - 2018
- [c165]Luciano D. S. Pacífico, Teresa Bernarda Ludermir, João F. L. Oliveira:
Evolutionary ELMs with Alternative Treatments for the Population Out-Bounded Individuals. BRACIS 2018: 151-156 - [c164]Luciano D. S. Pacífico, Teresa Bernarda Ludermir, Larissa F. S. Britto:
A Hybrid Improved Group Search Optimization and Otsu Method for Color Image Segmentation. BRACIS 2018: 296-301 - [c163]João C. Xavier Junior, Alex Alves Freitas, Antonino Feitosa Neto, Teresa Bernarda Ludermir:
A Novel Evolutionary Algorithm for Automated Machine Learning Focusing on Classifier Ensembles. BRACIS 2018: 462-467 - [c162]Marcelo Gomes Pereira de Lacerda, Hugo Deandrade Amorim Neto, Teresa Bernarda Ludermir, Herbert Kuchen, Fernando Buarque de Lima Neto:
Population Size Control for Efficiency and Efficacy Optimization in Population Based Metaheuristics. CEC 2018: 1-8 - [c161]Tarcísio Lucas, Renato Vimieiro, Teresa Bernarda Ludermir:
SSDP+: A Diverse and More Informative Subgroup Discovery Approach for High Dimensional Data. CEC 2018: 1-8 - [c160]Luciano D. S. Pacífico, Teresa Bernarda Ludermir:
Alternative Population Initialization Schemes for Group Search Optimization for Data Clustering. CEC 2018: 1-8 - [c159]Luiz Antonio de Oliveira Junior, Heitor R. Medeiros, David Macedo, Cleber Zanchettin, Adriano L. I. Oliveira, Teresa Bernarda Ludermir:
SegNetRes-CRF: A Deep Convolutional Encoder-Decoder Architecture for Semantic Image Segmentation. IJCNN 2018: 1-6 - [c158]Fernando M. de Paula Neto, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira, Adenilton J. da Silva:
Quantum Perceptron with Dynamic Internal Memory. IJCNN 2018: 1-8 - [c157]Luciano D. S. Pacífico, Teresa Bernarda Ludermir:
Hybrid K-Means and Improved Group Search optimization Methods for Data Clustering. IJCNN 2018: 1-8 - [c156]Aline Gondim Santos, Camila Oliveira de Souza, Cleber Zanchettin, David Macedo, Adriano L. I. Oliveira, Teresa Bernarda Ludermir:
Reducing SqueezeNet Storage Size with Depthwise Separable Convolutions. IJCNN 2018: 1-6 - [c155]Robercy Alves da Silva, Anne Magály de Paula Canuto, João Carlos Xavier Junior, Teresa Bernarda Ludermir:
Using Meta-learning in the Selection of the Combination Method of a Classifier Ensemble. IJCNN 2018: 1-8 - 2017
- [j61]Tarcísio Lucas, Túlio C. P. B. Silva, Renato Vimieiro, Teresa Bernarda Ludermir:
A new evolutionary algorithm for mining top-k discriminative patterns in high dimensional data. Appl. Soft Comput. 59: 487-499 (2017) - [j60]Gisele Lobo Pappa, Kate Cerqueira Revoredo, Teresa Bernarda Ludermir:
BRACIS 2015: Progress in computation intelligence in Brazil. Neurocomputing 246: 1-2 (2017) - [j59]Fernando M. de Paula Neto, Wilson Rosa de Oliveira, Teresa Bernarda Ludermir, Adenilton J. da Silva:
Chaos in a quantum neuron: An open system approach. Neurocomputing 246: 3-11 (2017) - [j58]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:
Editorial: A Successful Year and Looking Forward to 2017 and Beyond. IEEE Trans. Neural Networks Learn. Syst. 28(1): 2-7 (2017) - [j57]Dusan Stosic, Darko Stosic, Cleber Zanchettin, Teresa Bernarda Ludermir, Borko D. Stosic:
QRNN: q -Generalized Random Neural Network. IEEE Trans. Neural Networks Learn. Syst. 28(2): 383-390 (2017) - [c154]Fernando Maciano de Paula Neto, Adenilton José da Silva, Wilson Rosa de Oliveira, Teresa Bernarda Ludermir:
Non-unitary Quantum Associative Memory. BRACIS 2017: 97-102 - [c153]Fernando Maciano de Paula Neto, Wilson Rosa de Oliveira, Adenilton José da Silva, Teresa Bernarda Ludermir:
On the Entanglement Dynamics of the Quantum Weightless Neuron. BRACIS 2017: 175-180 - 2016
- [j56]Dusan Stosic, Darko Stosic, Teresa Bernarda Ludermir:
Voting based q-generalized extreme learning machine. Neurocomputing 174: 1021-1030 (2016) - [j55]Ricardo B. C. Prudêncio, Teresa Bernarda Ludermir:
Progress in intelligent systems design. Neurocomputing 180: 1-2 (2016) - [j54]João Fausto Lorenzato de Oliveira, Teresa Bernarda Ludermir:
A hybrid evolutionary decomposition system for time series forecasting. Neurocomputing 180: 27-34 (2016) - [j53]Adenilton J. da Silva, Wilson Rosa de Oliveira, Teresa Bernarda Ludermir:
Weightless neural network parameters and architecture selection in a quantum computer. Neurocomputing 183: 13-22 (2016) - [j52]Fernando M. de Paula Neto, Wilson Rosa de Oliveira, Adenilton J. da Silva, Teresa Bernarda Ludermir:
Chaos in Quantum Weightless Neuron Node Dynamics. Neurocomputing 183: 23-38 (2016) - [j51]Arthur F. M. Sousa, Ricardo B. C. Prudêncio, Teresa Bernarda Ludermir, Carlos Soares:
Active learning and data manipulation techniques for generating training examples in meta-learning. Neurocomputing 194: 45-55 (2016) - [j50]Anderson Tenório Sergio, Tiago P. F. de Lima, Teresa Bernarda Ludermir:
Dynamic selection of forecast combiners. Neurocomputing 218: 37-50 (2016) - [j49]Elliackin M. N. Figueiredo, Teresa Bernarda Ludermir, Carmelo J. A. Bastos Filho:
Many Objective Particle Swarm Optimization. Inf. Sci. 374: 115-134 (2016) - [j48]Darko Stosic, Dusan Stosic, Teresa Bernarda Ludermir, Borko D. Stosic, Milorad V. Milosevic:
GPU-advanced 3D electromagnetic simulations of superconductors in the Ginzburg-Landau formalism. J. Comput. Phys. 322: 183-198 (2016) - [j47]Lucas F. S. Cambuim, Rafael M. Macieira, Fernando M. de Paula Neto, Edna Barros, Teresa Bernarda Ludermir, Cleber Zanchettin:
An efficient static gesture recognizer embedded system based on ELM pattern recognition algorithm. J. Syst. Archit. 68: 1-16 (2016) - [j46]Adenilton J. da Silva, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira:
Quantum perceptron over a field and neural network architecture selection in a quantum computer. Neural Networks 76: 55-64 (2016) - [c152]Luciano D. S. Pacífico, Teresa Bernarda Ludermir:
Data Clustering Using Group Search Optimization with Alternative Fitness Functions. BRACIS 2016: 301-306 - [c151]Tarcisio Pontes, Renato Vimieiro, Teresa Bernarda Ludermir:
SSDP: A Simple Evolutionary Approach for Top-K Discriminative Patterns in High Dimensional Databases. BRACIS 2016: 361-366 - [c150]Elliackin M. N. Figueiredo, Danilo R. B. Araujo, Carmelo J. A. Bastos Filho, Teresa Bernarda Ludermir:
Physical Topology Design of Optical Networks Aided by Many-Objective Optimization Algorithms. BRACIS 2016: 409-414 - [i2]Adenilton J. da Silva, Wilson Rosa de Oliveira, Teresa Bernarda Ludermir:
Weightless neural network parameters and architecture selection in a quantum computer. CoRR abs/1601.03277 (2016) - [i1]Adenilton J. da Silva, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira:
Quantum perceptron over a field and neural network architecture selection in a quantum computer. CoRR abs/1602.00709 (2016) - 2015
- [j45]Aurora T. R. Pozo, Heloisa de Arruda Camargo, Teresa Bernarda Ludermir:
Progress in intelligent systems. Neurocomputing 163: 76-77 (2015) - [c149]Fernando M. de Paula Neto, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira, Adenilton J. da Silva:
Fitting Parameters on Quantum Weightless Neuron Dynamics. BRACIS 2015: 169-174 - [c148]Fernando M. de Paula Neto, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira, Adenilton J. da Silva:
Solving NP-complete Problems Using Quantum Weightless Neuron Nodes. BRACIS 2015: 258-263 - [c147]Anderson Tenório Sergio, Teresa Bernarda Ludermir:
Deep Learning for Wind Speed Forecasting in Northeastern Region of Brazil. BRACIS 2015: 322-327 - [c146]Tiago P. F. de Lima, Teresa Bernarda Ludermir:
Differential evolution and meta-learning for dynamic ensemble of neural network classifiers. IJCNN 2015: 1-5 - [c145]Fernando M. de Paula Neto, Lucas F. S. Cambuim, Rafael M. Macieira, Teresa Bernarda Ludermir, Cleber Zanchettin, Edna Natividade da Silva Barros:
Extreme Learning Machine for Real Time Recognition of Brazilian Sign Language. SMC 2015: 1464-1469 - 2014
- [j44]Teresa Bernarda Ludermir, Cleber Zanchettin, Ana Carolina Lorena:
Advances in intelligent systems. Neurocomputing 127: 1-3 (2014) - [j43]Elliackin M. N. Figueiredo, Teresa Bernarda Ludermir:
Investigating the use of alternative topologies on performance of the PSO-ELM. Neurocomputing 127: 4-12 (2014) - [j42]Tiago P. F. de Lima, Adenilton J. da Silva, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira:
An automatic methodology for construction of multi-classifier systems based on the combination of selection and fusion. Prog. Artif. Intell. 2(4): 205-215 (2014) - [c144]Tiago Pessoa Ferreira de Lima, Anderson Tenório Sergio, Teresa Bernarda Ludermir:
Improving Classifiers and Regions of Competence in Dynamic Ensemble Selection. BRACIS 2014: 13-18 - [c143]João Fausto Lorenzato de Oliveira, Teresa Bernarda Ludermir:
A Hybrid Evolutionary System for Parameter Optimization and Lag Selection in Time Series Forecasting. BRACIS 2014: 73-78 - [c142]Luciano Demetrio Santos Pacífico, Teresa Bernarda Ludermir:
A Group Search Optimization Method for Data Clustering. BRACIS 2014: 342-347 - [c141]Luciano Demetrio Santos Pacífico, Teresa Bernarda Ludermir:
Improved Cooperative Group Search Optimization Based on Divide-and-Conquer Strategy. BRACIS 2014: 420-425 - [c140]Ronaldo R. B. de Aquino, Otoni Nóbrega Neto, Ramon B. Souza, Milde M. S. Lira, Manoel A. Carvalho, Teresa Bernarda Ludermir, Aida Araujo Ferreira:
Investigating the use of Echo State Networks for prediction of wind power generation. CIES 2014: 148-154 - [c139]João F. L. Oliveira, Teresa Bernarda Ludermir:
Iterative ARIMA-multiple support vector regression models for long term time series prediction. ESANN 2014 - [c138]Wilson Rosa de Oliveira, Adenilton J. da Silva, Teresa Bernarda Ludermir:
Vector space weightless neural networks. ESANN 2014 - [c137]Adenilton J. da Silva, Wilson Rosa de Oliveira, Teresa Bernarda Ludermir:
Training a classical weightless neural network in a quantum computer. ESANN 2014 - [c136]Adenilton J. da Silva, Wilson Rosa de Oliveira, Teresa Bernarda Ludermir:
Probabilistic automata simulation with single layer weightless neural networks. ESANN 2014 - [c135]Anderson Tenório Sergio, Teresa Bernarda Ludermir:
Reservoir Computing optimization with a hybrid method. IJCNN 2014: 2653-2660 - [c134]Tiago P. F. de Lima, Teresa Bernarda Ludermir:
Ensembles of evolutionary Extreme Learning Machines through differential evolution and Fitness Sharing. IJCNN 2014: 2677-2682 - [c133]Ronaldo R. B. de Aquino, Teresa Bernarda Ludermir, Aida Araujo Ferreira, Otoni Nóbrega Neto, Ramon B. Souza, Milde M. S. Lira, Manoel A. Carvalho:
Improving reservoir based wind power forecasting with ensembles. SMC 2014: 946-952 - [c132]João Fausto Lorenzato de Oliveira, Teresa Bernarda Ludermir:
A distributed PSO-ARIMA-SVR hybrid system for time series forecasting. SMC 2014: 3867-3872 - 2013
- [j41]Aida Araujo Ferreira, Teresa Bernarda Ludermir, Ronaldo R. B. de Aquino:
An approach to reservoir computing design and training. Expert Syst. Appl. 40(10): 4172-4182 (2013) - [j40]Teresa Bernarda Ludermir, Wilson Rosa de Oliveira:
Particle Swarm Optimization of MLP for the identification of factors related to Common Mental Disorders. Expert Syst. Appl. 40(11): 4648-4652 (2013) - [j39]Gecynalda Soares da Silva Gomes, Teresa Bernarda Ludermir:
Optimization of the weights and asymmetric activation function family of neural network for time series forecasting. Expert Syst. Appl. 40(16): 6438-6446 (2013) - [j38]Tiago P. F. de Lima, Teresa Bernarda Ludermir:
An automatic method for construction of ensembles to time series prediction. Int. J. Hybrid Intell. Syst. 10(4): 191-203 (2013) - [c131]João F. L. Oliveira, Luciano D. S. Pacífico, Teresa Bernarda Ludermir:
A Hybrid Group Search Optimization Based on Fish Swarms. BRACIS 2013: 51-56 - [c130]Antonino Feitosa Neto, Anne M. P. Canuto, Teresa Bernarda Ludermir:
Using good and bad diversity measures in the design of ensemble systems: A genetic algorithm approach. IEEE Congress on Evolutionary Computation 2013: 789-796 - [c129]Luciano D. S. Pacífico, Teresa Bernarda Ludermir:
Cooperative Group Search Optimization. IEEE Congress on Evolutionary Computation 2013: 3299-3306 - [c128]Evandro Jose Da Rocha E. Silva, Teresa Bernarda Ludermir, Leandro Maciel Almeida:
Clustering and Selection Using Grouping Genetic Algorithms for Blockmodeling to Construct Neural Network Ensembles. ICTAI 2013: 420-425 - [c127]Tiago Pessoa Ferreira de Lima, Teresa Bernarda Ludermir:
Optimizing Dynamic Ensemble Selection Procedure by Evolutionary Extreme Learning Machines and a Noise Reduction Filter. ICTAI 2013: 546-552 - [c126]Ronaldo R. B. de Aquino, Teresa Bernarda Ludermir, Otoni Nóbrega Neto, Aida Araujo Ferreira, Milde M. S. Lira, Manoel A. Carvalho:
Forecasting models of wind power in Northeastern of Brazil. IJCNN 2013: 1-8 - [c125]Luciano D. S. Pacífico, Teresa Bernarda Ludermir:
Evolutionary extreme learning machine based on particle swarm optimization and clustering strategies. IJCNN 2013: 1-6 - [c124]Arthur F. M. Sousa, Ricardo B. C. Prudêncio, Carlos Soares, Teresa Bernarda Ludermir:
Active selection of training instances for a random forest meta-learner. IJCNN 2013: 1-7 - 2012
- [j37]Luciano D. S. Pacífico, Teresa Bernarda Ludermir:
Improved Evolutionary Extreme Learning Machines Based on Particle Swarm Optimization and Clustering Approaches. Int. J. Nat. Comput. Res. 3(3): 1-20 (2012) - [j36]Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto, Marley M. B. R. Vellasco:
Automatic parameters selection in machine learning. Neurocomputing 75(1): 1-2 (2012) - [j35]Adenilton J. da Silva, Wilson Rosa de Oliveira, Teresa Bernarda Ludermir:
Classical and superposed learning for quantum weightless neural networks. Neurocomputing 75(1): 52-60 (2012) - [j34]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir:
Combining Uncertainty Sampling methods for supporting the generation of meta-examples. Inf. Sci. 196: 1-14 (2012) - [c123]Tiago P. F. de Lima, Adenilton J. da Silva, Teresa Bernarda Ludermir:
Selection and Fusion of Neural Networks via Differential Evolution. IBERAMIA 2012: 149-158 - [c122]João Fausto Lorenzato de Oliveira, Teresa Bernarda Ludermir:
A Modified Artificial Fish Swarm Algorithm for the Optimization of Extreme Learning Machines. ICANN (2) 2012: 66-73 - [c121]Anderson Tenório Sergio, Teresa Bernarda Ludermir:
PSO for Reservoir Computing Optimization. ICANN (1) 2012: 685-692 - [c120]Aida Araujo Ferreira, Teresa Bernarda Ludermir, Ronaldo R. B. de Aquino:
Comparing recurrent networks for time-series forecasting. IJCNN 2012: 1-8 - [c119]Elliackin M. N. Figueiredo, Rafael G. Mesquita, Teresa Bernarda Ludermir, George D. C. Cavalcanti:
Application of the IPSONet in face detection. IJCNN 2012: 1-7 - [c118]Tiago P. F. de Lima, Adenilton J. da Silva, Teresa Bernarda Ludermir:
Clustering and selection of neural networks using adaptive differential evolution. IJCNN 2012: 1-7 - [c117]Cleber Zanchettin, Leandro M. Almeida, Frederico D. Menezes, Teresa Bernarda Ludermir, Walter M. Azevedo:
Odor recognition systems for natural gas odorization monitoring. IJCNN 2012: 1-8 - [c116]Adenilton J. da Silva, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira:
On the Universality of Quantum Logical Neural Networks. SBRN 2012: 102-106 - [c115]Elliackin M. N. Figueiredo, Teresa Bernarda Ludermir:
Effect of the PSO Topologies on the Performance of the PSO-ELM. SBRN 2012: 178-183 - [c114]Nicole L. Mineu, Adenilton J. da Silva, Teresa Bernarda Ludermir:
Evolving Neural Networks Using Differential Evolution with Neighborhood-Based Mutation and Simple Subpopulation Scheme. SBRN 2012: 190-195 - [c113]Luciano D. S. Pacífico, Teresa Bernarda Ludermir:
Improved group search optimization based on opposite populations for feedforward networks training with weight decay. SMC 2012: 474-479 - 2011
- [j33]Teresa Bernarda Ludermir, Ricardo Bastos Cavalcante Prudêncio, Cleber Zanchettin:
Feature and algorithm selection with Hybrid Intelligent Techniques. Int. J. Hybrid Intell. Syst. 8(3): 115-116 (2011) - [j32]Ivna Valença, Tarcísio Lucas, Teresa Bernarda Ludermir, Mêuser Jorge Silva Valença:
Selecting variables with search algorithms and neural networks to improve the process of time series forecasting. Int. J. Hybrid Intell. Syst. 8(3): 129-141 (2011) - [j31]Gecynalda Soares da Silva Gomes, Teresa Bernarda Ludermir, Leyla M. M. R. Lima:
Comparison of new activation functions in neural network for forecasting financial time series. Neural Comput. Appl. 20(3): 417-439 (2011) - [j30]Cleber Zanchettin, Teresa Bernarda Ludermir, Leandro M. Almeida:
Hybrid Training Method for MLP: Optimization of Architecture and Training. IEEE Trans. Syst. Man Cybern. Part B 41(4): 1097-1109 (2011) - [c112]Danielle N. G. Silva, Luciano D. S. Pacífico, Teresa Bernarda Ludermir:
An evolutionary extreme learning machine based on group search optimization. IEEE Congress on Evolutionary Computation 2011: 574-580 - [c111]Natalia Flora de Lima, Teresa Bernarda Ludermir:
Frankenstein PSO applied to neural network weights and architectures. IEEE Congress on Evolutionary Computation 2011: 2452-2456 - [c110]Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, Teresa Bernarda Ludermir:
Combining Meta-learning and Active Selection of Datasetoids for Algorithm Selection. HAIS (1) 2011: 164-171 - [c109]Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, Teresa Bernarda Ludermir:
Uncertainty Sampling-Based Active Selection of Datasetoids for Meta-learning. ICANN (2) 2011: 454-461 - [c108]João Fausto Lorenzato de Oliveira, Teresa Bernarda Ludermir:
Homogeneous Ensemble Selection through Hierarchical Clustering with a Modified Artificial Fish Swarm Algorithm. ICTAI 2011: 177-180 - [c107]Aida Araujo Ferreira, Teresa Bernarda Ludermir:
Comparing evolutionary methods for reservoir computing pre-training. IJCNN 2011: 283-290 - [c106]Marcilio C. P. de Souto, José Carlos Martins Oliveira, Teresa Bernarda Ludermir:
A tool to implement probabilistic automata in RAM-based neural networks. IJCNN 2011: 1054-1060 - [c105]Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, Teresa Bernarda Ludermir:
Uncertainty sampling methods for selecting datasets in active meta-learning. IJCNN 2011: 1082-1089 - [c104]Danielle N. G. Silva, Luciano D. S. Pacífico, Teresa Bernarda Ludermir:
Improved Group Search Optimizer based on cooperation among groups for feedforward networks training with Weight Decay. SMC 2011: 2133-2138 - [p1]Ricardo Bastos Cavalcante Prudêncio, Marcilio C. P. de Souto, Teresa Bernarda Ludermir:
Selecting Machine Learning Algorithms Using the Ranking Meta-Learning Approach. Meta-Learning in Computational Intelligence 2011: 225-243 - 2010
- [j29]Cleber Zanchettin, Leandro L. Minku, Teresa Bernarda Ludermir:
Design of Experiments in Neuro-Fuzzy Systems. Int. J. Comput. Intell. Appl. 9(2): 137-152 (2010) - [j28]Leandro M. Almeida, Teresa Bernarda Ludermir:
A multi-objective memetic and hybrid methodology for optimizing the parameters and performance of artificial neural networks. Neurocomputing 73(7-9): 1438-1450 (2010) - [c103]Adenilton J. da Silva, Nicole L. Mineu, Teresa Bernarda Ludermir:
Evolving Artificial Neural Networks Using Adaptive Differential Evolution. IBERAMIA 2010: 396-405 - [c102]Aida Araujo Ferreira, Teresa Bernarda Ludermir:
Evolutionary strategy for simultaneous optimization of parameters, topology and reservoir weights in Echo State Networks. IJCNN 2010: 1-7 - [c101]Nicole L. Mineu, Teresa Bernarda Ludermir, Leandro M. Almeida:
Topology optimization for artificial neural networks using differential evolution. IJCNN 2010: 1-7 - [c100]Adenilton J. da Silva, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira:
Superposition Based Learning Algorithm. SBRN 2010: 1-6 - [c99]Ivna Valença, Teresa Bernarda Ludermir, Mêuser Jorge Silva Valença:
Hybrid Systems to Select Variables for Time Series Forecasting Using MLP and Search Algorithms. SBRN 2010: 247-252 - [c98]Adenilton J. da Silva, Wilson Rosa de Oliveira, Teresa Bernarda Ludermir:
A Weightless Neural Node Based on a Probabilistic Quantum Memory. SBRN 2010: 259-264 - [e3]Teresa Bernarda Ludermir, Karla Figueiredo, Carlos E. Thomaz:
11th Brazilian Symposium on Neural Networks (SBRN 2010), Sao Paulo, 23-28 October, 2010. IEEE Computer Society 2010, ISBN 978-1-4244-8391-4 [contents]
2000 – 2009
- 2009
- [j27]Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto, Wilson Rosa de Oliveira:
On a hybrid weightless neural system. Int. J. Bio Inspired Comput. 1(1/2): 93-104 (2009) - [c97]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir:
Active Generation of Training Examples in Meta-Regression. ICANN (1) 2009: 30-39 - [c96]Rodrigo G. F. Soares, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho:
An Analysis of Meta-learning Techniques for Ranking Clustering Algorithms Applied to Artificial Data. ICANN (1) 2009: 131-140 - [c95]Jefferson R. Souza, Teresa Bernarda Ludermir, Leandro M. Almeida:
A Two Stage Clustering Method Combining Self-Organizing Maps and Ant K-Means. ICANN (1) 2009: 485-494 - [c94]Ivna Valença, Teresa Bernarda Ludermir:
Hybrid Systems for River Flood Forecasting Using MLP, SOM and Fuzzy Systems. ICANN (1) 2009: 557-566 - [c93]Cleber Zanchettin, Teresa Bernarda Ludermir:
Hybrid Optimization Technique for Artificial Neural Networks Design. ICEIS (2) 2009: 242-247 - [c92]Aida Araujo Ferreira, Teresa Bernarda Ludermir:
Genetic algorithm for reservoir computing optimization. IJCNN 2009: 811-815 - [c91]Gecynalda Soares da Silva Gomes, Teresa Bernarda Ludermir, Leandro M. Almeida:
Neural networks with asymmetric activation function for function approximation. IJCNN 2009: 980-987 - [c90]Antonio Miguel F. Zarth, Teresa Bernarda Ludermir:
Optimization of Neural Networks Weights and Architecture: A Multimodal Methodology. ISDA 2009: 209-214 - [c89]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir:
Combining Uncertainty Sampling Methods for Active Meta-Learning. ISDA 2009: 220-225 - 2008
- [j26]Marcílio Carlos Pereira de Souto, Ivan G. Costa, Daniel S. A. de Araujo, Teresa Bernarda Ludermir, Alexander Schliep:
Clustering cancer gene expression data: a comparative study. BMC Bioinform. 9 (2008) - [j25]Teresa Bernarda Ludermir, Andreas König, André Carlos Ponce de Leon Ferreira de Carvalho:
Special Issue HIS 2007. Int. J. Hybrid Intell. Syst. 5(2): 57-58 (2008) - [j24]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir:
Selective generation of training examples in active meta-learning. Int. J. Hybrid Intell. Syst. 5(2): 59-70 (2008) - [j23]André Luis Santiago Maia, Francisco de A. T. de Carvalho, Teresa Bernarda Ludermir:
Forecasting models for interval-valued time series. Neurocomputing 71(16-18): 3344-3352 (2008) - [j22]Renato Fernandes Corrêa, Teresa Bernarda Ludermir:
A quickly trainable hybrid SOM-based document organization system. Neurocomputing 71(16-18): 3353-3359 (2008) - [j21]Fernanda L. Minku, Teresa Bernarda Ludermir:
Clustering and co-evolution to construct neural network ensembles: An experimental study. Neural Networks 21(9): 1363-1379 (2008) - [c88]Leandro M. Almeida, Teresa Bernarda Ludermir:
An Evolutionary Approach for Tuning Artificial Neural Network Parameters. HAIS 2008: 156-163 - [c87]Renato Fernandes Corrêa, Teresa Bernarda Ludermir:
Improved Semantic Mapping and SOM Applied to Document Organization. HIS 2008: 284-289 - [c86]Aida Araujo Ferreira, Teresa Bernarda Ludermir:
Using Reservoir Computing for Forecasting Time Series: Brazilian Case Study. HIS 2008: 602-607 - [c85]Leandro M. Almeida, Teresa Bernarda Ludermir:
Tuning Artificial Neural Networks Parameters Using an Evolutionary Algorithm. HIS 2008: 927-930 - [c84]Gecynalda Soares da Silva Gomes, Teresa Bernarda Ludermir:
Complementary Log-Log and Probit: Activation Functions Implemented in Artificial Neural Networks. HIS 2008: 939-942 - [c83]Silvio B. Guerra, Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir:
Predicting the Performance of Learning Algorithms Using Support Vector Machines as Meta-regressors. ICANN (1) 2008: 523-532 - [c82]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir:
Active Meta-Learning with Uncertainty Sampling and Outlier Detection. IJCNN 2008: 346-351 - [c81]Aida Araujo Ferreira, Teresa Bernarda Ludermir, Ronaldo R. B. de Aquino, Milde M. S. Lira, Otoni Nóbrega Neto:
Investigating the use of Reservoir Computing for forecasting the hourly wind speed in short -term. IJCNN 2008: 1649-1656 - [c80]Kelly P. Silva, Rodrigo G. F. Soares, Francisco de A. T. de Carvalho, Teresa Bernarda Ludermir:
Evolving both size and accuracy of RBF networks using Memetic Algorithm. IJCNN 2008: 1938-1944 - [c79]Rodrigo G. F. Soares, Kelly P. Silva, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho:
An evolutionary approach for the clustering data problem. IJCNN 2008: 1945-1950 - [c78]Cleber Zanchettin, Teresa Bernarda Ludermir:
Feature subset selection in a methodology for training and improving artificial neural network weights and connections. IJCNN 2008: 1951-1958 - [c77]Leandro M. Almeida, Teresa Bernarda Ludermir:
An improved method for automatically searching near-optimal artificial Neural Networks. IJCNN 2008: 2235-2242 - [c76]Marcílio Carlos Pereira de Souto, Daniel S. A. de Araujo, Ivan G. Costa, Rodrigo G. F. Soares, Teresa Bernarda Ludermir, Alexander Schliep:
Comparative study on normalization procedures for cluster analysis of gene expression datasets. IJCNN 2008: 2792-2798 - [c75]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:
Ranking and selecting clustering algorithms using a meta-learning approach. IJCNN 2008: 3729-3735 - [c74]Renato Fernandes Corrêa, Teresa Bernarda Ludermir:
Semantic mapping and K-means applied to hybrid SOM-based document organization system construction. SAC 2008: 1112-1116 - [c73]Wilson Rosa de Oliveira, Adenilton J. da Silva, Teresa Bernarda Ludermir, Amanda Leonel, Wilson R. Galindo, Jefferson C. C. Pereira:
Quantum Logical Neural Networks. SBRN 2008: 147-152 - [c72]Patrícia M. Santos, Teresa Bernarda Ludermir, Ricardo Bastos Cavalcante Prudêncio:
Selecting Neural Network Forecasting Models Using the Zoomed-Ranking Approach. SBRN 2008: 165-170 - [c71]Ricardo Bastos Cavalcante Prudêncio, Silvio B. Guerra, Teresa Bernarda Ludermir:
Using Support Vector Machines to Predict the Performance of MLP Neural Networks. SBRN 2008: 201-206 - [c70]Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto, Wilson Rosa de Oliveira:
Weightless Neural Networks: Knowledge-Based Inference System. SBRN 2008: 207-212 - 2007
- [j20]Cleber Zanchettin, Teresa Bernarda Ludermir:
Wavelet filter for noise reduction and signal compression in an artificial nose. Appl. Soft Comput. 7(1): 246-256 (2007) - [c69]Leandro M. Almeida, Teresa Bernarda Ludermir:
Automatically searching near-optimal artificial neural networks. ESANN 2007: 549-554 - [c68]Eleonora Ma. Jesus Oliveira, Paulemir G. Campos, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho, Wilson Rosa de Oliveira:
Application of a Hybrid Classifier to the Recognition of Petrochemical Odors. HIS 2007: 78-83 - [c67]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir:
Active Selection of Training Examples for Meta-Learning. HIS 2007: 126-131 - [c66]Marcio Carvalho, Teresa Bernarda Ludermir:
Particle Swarm Optimization of Neural Network Architectures andWeights. HIS 2007: 336-339 - [c65]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir:
Active Learning to Support the Generation of Meta-examples. ICANN (1) 2007: 817-826 - [c64]Aida Araujo Ferreira, Francisco Nascimento Jr., Ing Ren Tsang, George D. C. Cavalcanti, Teresa Bernarda Ludermir, Ronaldo R. B. de Aquino:
Analysis of mammogram using self-organizing neural networks based on spatial isomorphism. IJCNN 2007: 1796-1801 - [c63]Cleber Zanchettin, Teresa Bernarda Ludermir:
Comparison of the Effectiveness of Different Cost Functions in Global Optimization Techniques. IJCNN 2007: 2701-2706 - 2006
- [j19]Renato Fernandes Corrêa, Teresa Bernarda Ludermir:
Improving self-organization of document collections by semantic mapping. Neurocomputing 70(1-3): 62-69 (2006) - [j18]Teresa Bernarda Ludermir, Akio Yamazaki, Cleber Zanchettin:
An Optimization Methodology for Neural Network Weights and Architectures. IEEE Trans. Neural Networks 17(6): 1452-1459 (2006) - [c62]Fernanda L. Minku, Teresa Bernarda Ludermir:
EFuNNs Ensembles Construction Using a Clustering Method and a Coevolutionary Genetic Algorithm. IEEE Congress on Evolutionary Computation 2006: 1399-1406 - [c61]Marcio Carvalho, Teresa Bernarda Ludermir:
Particle Swarm Optimization of Feed-Forward Neural Networks with Weight Decay. HIS 2006: 5 - [c60]Leandro M. Almeida, Teresa Bernarda Ludermir:
A Hybrid Method for Searching Near-Optimal Artificial Neural Networks. HIS 2006: 36 - [c59]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir:
A Machine Learning Approach to Define Weights for Linear Combination of Forecasts. ICANN (1) 2006: 274-283 - [c58]Gecynalda Soares da Silva Gomes, Teresa Bernarda Ludermir:
Feature Selection for Neural Networks Through Binomial Regression. ICONIP (2) 2006: 737-745 - [c57]Fernanda L. Minku, Teresa Bernarda Ludermir:
EFuNN Ensembles Construction Using a Clustering Method and a Coevolutionary Multi-objective Genetic Algorithm. ICONIP (3) 2006: 884-891 - [c56]André Luis Santiago Maia, Francisco de A. T. de Carvalho, Teresa Bernarda Ludermir:
A Hybrid Model for Symbolic Interval Time Series Forecasting. ICONIP (2) 2006: 934-941 - [c55]Marcio Carvalho, Teresa Bernarda Ludermir:
Hybrid Training of Feed-Forward Neural Networks with Particle Swarm Optimization. ICONIP (2) 2006: 1061-1070 - [c54]Gecynalda Soares da Silva Gomes, André Luis Santiago Maia, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho, Aluízio F. R. Araújo:
Hybrid model with dynamic architecture for forecasting time series. IJCNN 2006: 3742-3747 - [c53]Cleber Zanchettin, Teresa Bernarda Ludermir:
A methodology to train and improve artificial neural networks' weights and connections. IJCNN 2006: 5267-5274 - [c52]Marcio Carvalho, Teresa Bernarda Ludermir:
An Analysis Of PSO Hybrid Algorithms For Feed-Forward Neural Networks Training. SBRN 2006: 6-11 - [c51]Fernanda L. Minku, Teresa Bernarda Ludermir:
EFuNN Ensembles Construction Using CONE with Multi-objective GA. SBRN 2006: 48-53 - [c50]Renato Fernandes Corrêa, Teresa Bernarda Ludermir:
A Hybrid SOM-Based Document Organization System. SBRN 2006: 90-95 - [c49]Cleber Zanchettin, Teresa Bernarda Ludermir:
The Influence of Different Cost Functions in Global Optimization Techniques. SBRN 2006: 96-101 - [c48]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir:
LearningWeights for Linear Combination of Forecasting Methods. SBRN 2006: 113-118 - [c47]André Luis Santiago Maia, Francisco de A. T. de Carvalho, Teresa Bernarda Ludermir:
Symbolic interval time series forecasting using a hybrid model. SBRN 2006: 202-207 - 2005
- [j17]Estefane G. M. de Lacerda, André Carlos Ponce de Leon Ferreira de Carvalho, Antônio de Pádua Braga, Teresa Bernarda Ludermir:
Evolutionary Radial Basis Functions for Credit Assessment. Appl. Intell. 22(3): 167-181 (2005) - [j16]Cleber Zanchettin, Teresa Bernarda Ludermir:
Hybrid neural systems for pattern recognition in artificial noses. Int. J. Neural Syst. 15(1-2): 137-149 (2005) - [j15]Marcílio Carlos Pereira de Souto, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira:
Equivalence between RAM-based neural networks and probabilistic automata. IEEE Trans. Neural Networks 16(4): 996-999 (2005) - [c46]Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir, Anelle Valença:
River Flow Forecasting with Constructive Neural Network. Australian Conference on Artificial Intelligence 2005: 1031-1036 - [c45]Fernanda L. Minku, Teresa Bernarda Ludermir:
Evolutionary strategies and genetic algorithms for dynamic parameter optimization of evolving fuzzy neural networks. Congress on Evolutionary Computation 2005: 1951-1958 - [c44]Paulemir G. Campos, Teresa Bernarda Ludermir:
Literal and ProRulext: Algorithms for Rule Extraction of ANNs. HIS 2005: 143-148 - [c43]Amanda Pimentel e Silva Lins, Teresa Bernarda Ludermir:
Hybrid Optimization Algorithm for the Definition of MLP Neural Network Architectures and Weights. HIS 2005: 149-154 - [c42]Cleber Zanchettin, Fernanda L. Minku, Teresa Bernarda Ludermir:
Design of Experiments in Neuro-Fuzzy Systems. HIS 2005: 218-226 - [c41]Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir, Anelle Valença:
River Flow Forecasting for Reservoir management through Neural Networks. HIS 2005: 545-547 - [c40]Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir, Anelle Valença:
Modeling of the rainfall-runoff relationship with artificial neural network. HIS 2005: 548-550 - [c39]Aida Araujo Ferreira, Teresa Bernarda Ludermir, Ronaldo R. B. de Aquino:
Comparing Neural Network Architecture for Pattern Recognize System on Artificial Noses. ICANN (1) 2005: 635-640 - [c38]Teresa Bernarda Ludermir, C. R. S. Lopes, A. B. Ludermir, Marcílio Carlos Pereira de Souto:
Neural Network Use for the Identification of Factors Related to Common Mental Disorders. ICANN (1) 2005: 653-658 - [c37]Cleber Zanchettin, Teresa Bernarda Ludermir:
Hybrid Technique for Artificial Neural Network Architecture and Weight Optimization. PKDD 2005: 709-716 - [r1]André Carlos Ponce de Leon Ferreira de Carvalho, Antônio de Pádua Braga, Teresa Bernarda Ludermir:
Credit Card Users' Data Mining. Encyclopedia of Information Science and Technology (I) 2005: 603-605 - 2004
- [j14]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir:
Meta-learning approaches to selecting time series models. Neurocomputing 61: 121-137 (2004) - [j13]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho:
A Modal Symbolic Classifier for selecting time series models. Pattern Recognit. Lett. 25(8): 911-921 (2004) - [c36]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir:
Using Machine Learning Techniques to Combine Forecasting Methods. Australian Conference on Artificial Intelligence 2004: 1122-1127 - [c35]Patrícia Maforte dos Santos, Teresa Bernarda Ludermir, Ricardo Bastos Cavalcante Prudêncio:
Selection of Time Series Forecasting Models based on Performance Information. HIS 2004: 366-371 - [c34]Alzennyr Da Silva, Francisco de A. T. de Carvalho, Teresa Bernarda Ludermir, Nicomedes L. Cavalcanti:
Comparing Metrics in Fuzzy Clustering for Symbolic Data on SODAS Format. IBERAMIA 2004: 727-736 - [c33]Amanda Pimentel e Silva Lins, Teresa Bernarda Ludermir:
A Neighbor Generation Mechanism Optimizing Neural Networks. ICONIP 2004: 613-618 - [c32]Renato Fernandes Corrêa, Teresa Bernarda Ludermir:
Web Documents Categorization Using Neural Networks. ICONIP 2004: 758-762 - [c31]Cleber Zanchettin, Teresa Bernarda Ludermir:
Evolving Fuzzy Neural Networks Applied to Odor Recognition. ICONIP 2004: 953-958 - [c30]Renato Fernandes Corrêa, Teresa Bernarda Ludermir:
Dimensionality Reduction by Semantic Mapping in Text Categorization. ICONIP 2004: 1032-1037 - [c29]Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir:
Hydrological Forecasting and Updating Procedures for Neural Network. ICONIP 2004: 1304-1309 - 2003
- [j12]Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto:
Introduction by Guest Editors. Int. J. Neural Syst. 13(2): 55-57 (2003) - [j11]Akio Yamazaki, Teresa Bernarda Ludermir:
Neural Network Training with Global Optimization Techniques. Int. J. Neural Syst. 13(2): 77-86 (2003) - [j10]Jairo Diniz Filho, Teresa Bernarda Ludermir:
Modeling a Particular Decision Process by Using a Modulatory Activation Function. Int. J. Neural Syst. 13(2): 111-118 (2003) - [c28]Cleber Zanchettin, Teresa Bernarda Ludermir:
Wavelet Filter for Noise Reduction and Signal Compression in an Artificial Nose. HIS 2003: 907-916 - [c27]Cleber Zanchettin, Teresa Bernarda Ludermir:
A Neuro-Fuzzy Model Applied to Odor Recognition in an Artificial Nose. HIS 2003: 917-926 - [c26]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir:
Selecting and Ranking Time Series Models Using the NOEMON Approach. ICANN 2003: 654-661 - 2002
- [j9]Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto:
The VIIth Brazilian Symposium on Neural Networks (SBRN'02). J. Intell. Fuzzy Syst. 13(2-4): 61-62 (2002) - [j8]Wilson Rosa de Oliveira, Marcílio Carlos Pereira de Souto, Teresa Bernarda Ludermir:
Turing's analysis of computation and artificial neural networks. J. Intell. Fuzzy Syst. 13(2-4): 85-98 (2002) - [j7]Estefane G. M. de Lacerda, André Carlos Ponce de Leon Ferreira de Carvalho, Teresa Bernarda Ludermir:
Model selection via Genetic Algorithms for RBF networks. J. Intell. Fuzzy Syst. 13(2-4): 111-122 (2002) - [j6]Estefane G. M. de Lacerda, André Carlos Ponce de Leon Ferreira de Carvalho, Teresa Bernarda Ludermir:
Um Tutorial sobre Algoritmos Genéticos. RITA 9(3): 7-39 (2002) - [c25]Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir:
Selection of Models for Time Series Prediction via Meta-Learning. HIS 2002: 74-83 - [c24]Wilson Rosa de Oliveira, Marcílio Carlos Pereira de Souto, Teresa Bernarda Ludermir:
Turing Machines with Finite Memory. SBRN 2002: 67-73 - [c23]Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir:
NeuroInflow: The New Model to Forecast Average Monthly Inflow. SBRN 2002: 74-79 - [c22]Maria Silva Santos Barbosa, Teresa Bernarda Ludermir, Marizete Silva Santos, Francisco Luiz dos Santos, José Edison Gomes de Souza, Celso Pinto de Melo:
Pattern recognition of gases of petroleum based on RBF model. SBRN 2002: 111 - [c21]C. R. S. Lopes, Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto, A. B. Ludermir:
Neural Networks for the analysis of Common Mental Disorders Factors. SBRN 2002: 114 - [c20]Eleonora Ma. Jesus Oliveira, Teresa Bernarda Ludermir:
Forecasting the IBOVESPA Using NARX Networks and Random Walk Model . SBRN 2002: 115-117 - [c19]Estefane G. M. de Lacerda, André Carlos Ponce de Leon Ferreira de Carvalho, Teresa Bernarda Ludermir:
A Study of Crossvalidation and Bootstrap as Objective Functions for Genetic Algorithms. SBRN 2002: 118-123 - [c18]Akio Yamazaki, Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto:
Global Optimization Methods for Designing and Training Neural Networks. SBRN 2002: 136-141 - [c17]Renato Fernandes Corrêa, Teresa Bernarda Ludermir:
Automatic Text Categorization: Case Study. SBRN 2002: 150 - [c16]Domingos Vanderlei Filho, Marcos A. dos Santos, Teresa Bernarda Ludermir, Mêuser Jorge Silva Valença:
A Fuzzy Approach to Support a Musculoskeletal Disorders Diagnosis. SBRN 2002: 154-155 - [c15]José Carlos Martins Oliveira, Marcílio Carlos Pereira de Souto, Teresa Bernarda Ludermir:
Implementation of Probabilistic Automata in Weightless Neural Networks. SBRN 2002: 235 - [c14]Jairo Diniz Filho, Teresa Bernarda Ludermir:
Modulatory Interaction as a Support to Modeling Neural Substrates of the Decision Process. SBRN 2002: 242 - [e2]Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto:
7th Brazilian Symposium on Neural Networks (SBRN 2002), 11-14 November 2002, Recife, Brazil. IEEE Computer Society 2002, ISBN 0-7695-1709-9 [contents] - 2001
- [j5]Ricardo Bezerra de Andrade e Silva, Teresa Bernarda Ludermir:
Hybrid systems of local basis functions. Intell. Data Anal. 5(3): 227-244 (2001) - [j4]Estefane G. M. de Lacerda, André Carlos Ponce de Leon Ferreira de Carvalho, Teresa Bernarda Ludermir:
Evolutionary Optimization of RBF Networks. Int. J. Neural Syst. 11(3): 287-294 (2001) - 2000
- [c13]Ricardo Bezerra de Andrade e Silva, Teresa Bernarda Ludermir:
Obtaining Simplified Rule Bases by Hybrid Learning. ICML 2000: 879-886 - [c12]Marcílio Carlos Pereira de Souto, Teresa Bernarda Ludermir, Marcília A. Campos:
Encoding of Probabilistic Automata into RAM-Based Neural Networks. IJCNN (3) 2000: 439-444 - [c11]Jairo Diniz Filho, Teresa Bernarda Ludermir:
Modeling Modulatory Aspects in Association Processes. NCPW 2000: 63-72 - [c10]Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir:
Monthly Streamflow Forecasting Using an Neural Fuzzy Network Model. SBRN 2000: 117-119 - [c9]Estefane G. M. de Lacerda, Teresa Bernarda Ludermir, André Carlos Ponce de Leon Ferreira de Carvalho:
Evolutionary Optimization of RBF Networks. SBRN 2000: 219-224
1990 – 1999
- 1999
- [j3]Antônio de Pádua Braga, Teresa Bernarda Ludermir:
Editorial: "Artificial Neural Networks in Brazil: An Introduction to the Special Issue of IJNS". Int. J. Neural Syst. 9(3): 163-165 (1999) - [j2]Marcílio Carlos Pereira de Souto, Paulo J. L. Adeodato, Teresa Bernarda Ludermir:
Sequential RAM-based Neural Networks: Learnability, Generalisation, Knowledge Extraction, and Grammatical Inference. Int. J. Neural Syst. 9(3): 203-210 (1999) - [j1]Cristiane Nobre, E. Martineli, Antônio de Pádua Braga, André Carlos Ponce de Leon Ferreira de Carvalho, S. Rezende, José L. Braga, Teresa Bernarda Ludermir:
Knowledge Extraction: A Comparison between Symbolic and Connectionist Methods. Int. J. Neural Syst. 9(3): 257-264 (1999) - [c8]Marizete Silva Santos, Teresa Bernarda Ludermir:
Using factorial design to optimise neural networks. IJCNN 1999: 857-861 - [c7]Mêuser J. S. Valença, Teresa Bernarda Ludermir:
Self-organization sigmoidal blocks networks. IJCNN 1999: 1943-1946 - [c6]Marcelo M. de Barros, Jeferson L. F. Valadares, Teresa Bernarda Ludermir:
Rule extraction from Boolean artificial neural networks. IJCNN 1999: 2461-2465 - [c5]Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir:
Multiplicative-additive neural networks with active neurons. IJCNN 1999: 3821-3823 - [c4]Ricardo Bezerra de Andrade e Silva, Teresa Bernarda Ludermir:
Neural network methods for rule induction. IJCNN 1999: 4232-4236 - 1998
- [c3]Teresa Bernarda Ludermir, Wilson Rosa de Oliveira:
Extracting Rules from Boolean Neural Networks. ICONIP 1998: 1666-1669 - [c2]Teresa Bernarda Ludermir:
Extracting Rules from Feedforward Boolean Neural Networks. SBRN 1998: 61-66 - [c1]Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir:
Self-Organizing Modeling in Forecasting Daily River Flows. SBRN 1998: 210-214 - [e1]Antônio de Pádua Braga, Teresa Bernarda Ludermir:
5th Brazilian Symposium on Neural Networks (SBRN '98), 9-11 December 1998, Belo Horizonte, Brazil. IEEE Computer Society 1998, ISBN 0-8186-8629-4 [contents] - 1990
- [b1]Teresa Bernarda Ludermir:
Automata theoretic aspects of temporal behaviour and computability in logical neural networks. Imperial College London, UK, 1990
Coauthor Index
Leandro M. Almeida
aka: Leandro Maciel Almeida
aka: Leandro Maciel Almeida
André C. P. L. F. de Carvalho
aka: André Carlos Ponce de Leon Ferreira de Carvalho
aka: André Carlos Ponce de Leon Ferreira de Carvalho
Carmelo J. A. Bastos Filho
aka: Carmelo José Albanez Bastos Filho
aka: Carmelo José Albanez Bastos Filho
Tiago P. F. de Lima
aka: Tiago Pessoa Ferreira de Lima
aka: Tiago Pessoa Ferreira de Lima
David Macedo
aka: David Macêdo
aka: David Macêdo
Fernando M. de Paula Neto
aka: Fernando Maciano de Paula Neto
aka: Fernando Maciano de Paula Neto
João F. L. Oliveira
aka: João Fausto Lorenzato de Oliveira
aka: João Fausto Lorenzato de Oliveira
Luciano D. S. Pacífico
aka: Luciano Demetrio Santos Pacífico
aka: Luciano Demetrio Santos Pacífico
Ricardo B. C. Prudêncio
aka: Ricardo Bastos Cavalcante Prudêncio
aka: Ricardo Bastos Cavalcante Prudêncio
Adenilton J. da Silva
aka: Adenilton José da Silva
aka: Adenilton José da Silva
Marcílio Carlos Pereira de Souto
aka: Marcilio C. P. de Souto
aka: Marcilio C. P. de Souto
Mêuser Jorge Silva Valença
aka: Mêuser J. S. Valença
aka: Mêuser J. S. Valença
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