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ORCIDTeresa Bernarda Ludermir
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- affiliation: Federal University of Pernambuco, Recife, Brazil
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2020 – today
- 2023
[j73]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)- 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, Flavio 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 A. 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 A. 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 A. 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 S. da S. 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 A. 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