Teresa Bernarda Ludermir

ORCID

Publication Activity (10 Years)

Years Active: 1998-2023
Publications (10 Years): 88

Top Venues

Imperial College London, UK (PHD)

Education History

Imperial College London, UK

PHD

Publications

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) (2023)
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) (2023)
Sérgio F. Chevtchenko, Yeshwanth Bethi, Teresa Bernarda Ludermir, Saeed Afshar
A Neuromorphic Architecture for Reinforcement Learning from Real-Valued Observations. CoRR (2023)
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 (2022)
Felipe Costa Farias, Teresa Bernarda Ludermir, Carmelo José Albanez Bastos Filho
Embarrassingly Parallel Independent Training of Multi-Layer Perceptrons with Heterogeneous Architectures. CoRR (2022)
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 (2022)
David Macêdo, Pedro Dreyer, Teresa Bernarda Ludermir, Cleber Zanchettin
Training Aware Sigmoidal Optimization. BRACIS (2) (2022)
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)
Luciano D. S. Pacífico, Teresa Bernarda Ludermir
Improving Group Search Optimization for Automatic Data Clustering Using Merge and Split Operators. BRACIS (1) (2022)
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 (2022)
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 (2022)
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) (2022)
David Macêdo, Teresa Bernarda Ludermir
Improving Entropic Out-of-Distribution Detection using Isometric Distances and the Minimum Distance Score. CoRR (2021)
Anderson P. da Silva, Teresa Bernarda Ludermir, Leandro M. Almeida
Um Metodo para Busca Automatica de Redes Neurais Artificiais. CoRR (2021)
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)
Anderson da Silva, Teresa Bernarda Ludermir
Otimizacao de Redes Neurais atraves de Algoritmos Geneticos Celulares. CoRR (2021)
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 (2021)
Gecynalda Gomes, Teresa Bernarda Ludermir
Otimizacao de pesos e funcoes de ativacao de redes neurais aplicadas na previsao de series temporais. CoRR (2021)
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 (2021)
Dusan Stosic, Darko Stosic, Teresa Bernarda Ludermir, Borko D. Stosic
Distance Metric Learning through Minimization of the Free Energy. CoRR (2021)
David Macêdo, Pedro Dreyer, Teresa Bernarda Ludermir, Cleber Zanchettin
Training Aware Sigmoidal Optimizer. CoRR (2021)
Sérgio F. Chevtchenko, Teresa Bernarda Ludermir
Combining STDP and binary networks for reinforcement learning from images and sparse rewards. Neural Networks 144 (2021)
David Macêdo, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, Teresa Bernarda Ludermir
Entropic Out-of-Distribution Detection. IJCNN (2021)
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) (2021)
Tarsicio Lucas, Teresa Bernarda Ludermir, Ricardo B. C. Prudencio, Carlos Soares
Meta-aprendizado para otimizacao de parametros de redes neurais. CoRR (2021)
Jefferson R. Souza, Teresa Bernarda Ludermir
Metodos de Agrupamentos em dois Estagios. CoRR (2021)
Danielle Silva, Teresa Bernarda Ludermir
Uso de GSO cooperativos com decaimentos de pesos para otimizacao de redes neurais. CoRR (2021)
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)
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) (2020)
Felipe Costa Farias, Teresa Bernarda Ludermir, Carmelo José Albanez Bastos Filho
Similarity Based Stratified Splitting: an approach to train better classifiers. CoRR (2020)
Luciano D. S. Pacífico, Teresa Bernarda Ludermir
Backtracking Group Search Optimization: A Hybrid Approach for Automatic Data Clustering. BRACIS (2020)
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 (2020)
Luciano D. S. Pacífico, Teresa Bernarda Ludermir
An Evaluation on Competitive and Cooperative Evolutionary Algorithms for Data Clustering. CEC (2020)
Danilo Pereira, Flávio Arthur O. Santos, Leonardo Nogueira Matos, Paulo Novais, Cleber Zanchettin, Teresa Bernarda Ludermir
On Analysing Similarity Knowledge Transfer by Ensembles. IDEAL (2) (2020)
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 (2020)
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 (2020)
Sérgio F. Chevtchenko, Teresa Bernarda Ludermir
Learning from Sparse and Delayed Rewards with a Multilayer Spiking Neural Network. IJCNN (2020)
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 (2019)
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 (2019)
Tarcísio Lucas, João Gomes, Renato Vimieiro, Ricardo B. C. Prudêncio, Teresa Bernarda Ludermir
A Multivariate Method for Group Profiling Using Subgroup Discovery. BRACIS (2019)
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)
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)
Fernando Maciano de Paula Neto, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira
Quantum Neural Networks Learning Algorithm Based on a Global Search. BRACIS (2019)
Fernando M. de Paula Neto, Adenilton J. da Silva, Wilson Rosa de Oliveira, Teresa Bernarda Ludermir
Quantum probabilistic associative memory architecture. Neurocomputing 351 (2019)
Luciano Demetrio Santos Pacífico, Teresa Bernarda Ludermir
A Partitional Cooperative Coevolutionary Group Search Optimization Approach for Data Clustering. BRACIS (2019)
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)
Luciano D. S. Pacífico, Teresa Bernarda Ludermir
Hybrid K-Means and Improved Self-Adaptive Particle Swarm Optimization for Data Clustering. IJCNN (2019)
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)
Tarcísio Lucas, Renato Vimieiro, Teresa Bernarda Ludermir
SSDP+: A Diverse and More Informative Subgroup Discovery Approach for High Dimensional Data. CEC (2018)
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)
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)
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)
Luciano D. S. Pacífico, Teresa Bernarda Ludermir
Alternative Population Initialization Schemes for Group Search Optimization for Data Clustering. CEC (2018)
Luciano D. S. Pacífico, Teresa Bernarda Ludermir
Hybrid K-Means and Improved Group Search optimization Methods for Data Clustering. IJCNN (2018)
Fernando M. de Paula Neto, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira, Adenilton J. da Silva
Quantum Perceptron with Dynamic Internal Memory. IJCNN (2018)
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)
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)
Luciano D. S. Pacífico, Teresa Bernarda Ludermir, João F. L. Oliveira
Evolutionary ELMs with Alternative Treatments for the Population Out-Bounded Individuals. BRACIS (2018)
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)
Fernando Maciano de Paula Neto, Adenilton José da Silva, Wilson Rosa de Oliveira, Teresa Bernarda Ludermir
Non-unitary Quantum Associative Memory. BRACIS (2017)
Gisele Lobo Pappa, Kate Cerqueira Revoredo, Teresa Bernarda Ludermir
BRACIS 2015: Progress in computation intelligence in Brazil. Neurocomputing 246 (2017)
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) (2017)
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) (2017)
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 (2017)
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 (2017)
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)
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 (2016)
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 (2016)
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 (2016)
Luciano D. S. Pacífico, Teresa Bernarda Ludermir
Data Clustering Using Group Search Optimization with Alternative Fitness Functions. BRACIS (2016)
Tarcisio Pontes, Renato Vimieiro, Teresa Bernarda Ludermir
SSDP: A Simple Evolutionary Approach for Top-K Discriminative Patterns in High Dimensional Databases. BRACIS (2016)
Anderson Tenório Sergio, Tiago P. F. de Lima, Teresa Bernarda Ludermir
Dynamic selection of forecast combiners. Neurocomputing 218 (2016)
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 (2016)
Ricardo B. C. Prudêncio, Teresa Bernarda Ludermir
Progress in intelligent systems design. Neurocomputing 180 (2016)
João Fausto Lorenzato de Oliveira, Teresa Bernarda Ludermir
A hybrid evolutionary decomposition system for time series forecasting. Neurocomputing 180 (2016)
Dusan Stosic, Darko Stosic, Teresa Bernarda Ludermir
Voting based q-generalized extreme learning machine. Neurocomputing 174 (2016)
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 (2016)
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)
Elliackin M. N. Figueiredo, Teresa Bernarda Ludermir, Carmelo J. A. Bastos Filho
Many Objective Particle Swarm Optimization. Inf. Sci. 374 (2016)
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 (2016)
Adenilton J. da Silva, Wilson Rosa de Oliveira, Teresa Bernarda Ludermir
Weightless neural network parameters and architecture selection in a quantum computer. Neurocomputing 183 (2016)
Adenilton J. da Silva, Wilson Rosa de Oliveira, Teresa Bernarda Ludermir
Weightless neural network parameters and architecture selection in a quantum computer. CoRR (2016)
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)
Aurora T. R. Pozo, Heloisa de Arruda Camargo, Teresa Bernarda Ludermir
Progress in intelligent systems. Neurocomputing 163 (2015)
Anderson Tenório Sergio, Teresa Bernarda Ludermir
Deep Learning for Wind Speed Forecasting in Northeastern Region of Brazil. BRACIS (2015)
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)
Tiago P. F. de Lima, Teresa Bernarda Ludermir
Differential evolution and meta-learning for dynamic ensemble of neural network classifiers. IJCNN (2015)
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)
Tiago Pessoa Ferreira de Lima, Anderson Tenório Sergio, Teresa Bernarda Ludermir
Improving Classifiers and Regions of Competence in Dynamic Ensemble Selection. BRACIS (2014)
João F. L. Oliveira, Teresa Bernarda Ludermir
Iterative ARIMA-multiple support vector regression models for long term time series prediction. ESANN (2014)
Adenilton J. da Silva, Wilson Rosa de Oliveira, Teresa Bernarda Ludermir
Training a classical weightless neural network in a quantum computer. ESANN (2014)
Tiago P. F. de Lima, Teresa Bernarda Ludermir
Ensembles of evolutionary Extreme Learning Machines through differential evolution and Fitness Sharing. IJCNN (2014)
Adenilton J. da Silva, Wilson Rosa de Oliveira, Teresa Bernarda Ludermir
Probabilistic automata simulation with single layer weightless neural networks. ESANN (2014)
Elliackin M. N. Figueiredo, Teresa Bernarda Ludermir
Investigating the use of alternative topologies on performance of the PSO-ELM. Neurocomputing 127 (2014)
Luciano Demetrio Santos Pacífico, Teresa Bernarda Ludermir
Improved Cooperative Group Search Optimization Based on Divide-and-Conquer Strategy. BRACIS (2014)
João Fausto Lorenzato de Oliveira, Teresa Bernarda Ludermir
A distributed PSO-ARIMA-SVR hybrid system for time series forecasting. SMC (2014)
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)
Anderson Tenório Sergio, Teresa Bernarda Ludermir
Reservoir Computing optimization with a hybrid method. IJCNN (2014)
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) (2014)
Luciano Demetrio Santos Pacífico, Teresa Bernarda Ludermir
A Group Search Optimization Method for Data Clustering. BRACIS (2014)

Teresa Bernarda Ludermir.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Teresa Bernarda Ludermir