Teresa Bernarda Ludermir
Orcid: 0000-0002-8980-6742Affiliations:
- Federal University of Pernambuco, Recife, Brazil
According to our database1,
Teresa Bernarda Ludermir
authored at least 274 papers
between 1990 and 2023.
Collaborative distances:
Collaborative distances:
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on cin.ufpe.br
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Bibliography
2023
Out-of-the-box parameter control for evolutionary and swarm-based algorithms with distributed reinforcement learning.
Swarm Intell., September, 2023
Quantum Inf. Process., February, 2023
A Neuromorphic Architecture for Reinforcement Learning from Real-Valued Observations.
CoRR, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
CoRR, 2022
Embarrassingly Parallel Independent Training of Multi-Layer Perceptrons with Heterogeneous Architectures.
CoRR, 2022
Distinction Maximization Loss: Efficiently Improving Classification Accuracy, Uncertainty Estimation, and Out-of-Distribution Detection Simply Replacing the Loss and Calibrating.
CoRR, 2022
Towards a parameterless out-of-the-box population size control for evolutionary and swarm-based algorithms for single objective bound constrained real-parameter numerical optimization.
Appl. Soft Comput., 2022
Combining PPO and incremental conductance for MPPT under dynamic shading and temperature.
Appl. Soft Comput., 2022
Improving Group Search Optimization for Automatic Data Clustering Using Merge and Split Operators.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022
Improved Alternative Average Support Value for Automatic Ingredient Substitute Recommendation in Cooking Recipes.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022
2021
A systematic literature review on general parameter control for evolutionary and swarm-based algorithms.
Swarm Evol. Comput., 2021
Combining STDP and binary networks for reinforcement learning from images and sparse rewards.
Neural Networks, 2021
An evaluation of k-means as a local search operator in hybrid memetic group search optimization for data clustering.
Nat. Comput., 2021
Otimizacao de pesos e funcoes de ativacao de redes neurais aplicadas na previsao de series temporais.
CoRR, 2021
CoRR, 2021
Improving Entropic Out-of-Distribution Detection using Isometric Distances and the Minimum Distance Score.
CoRR, 2021
Ingredient Substitute Recommendation Based on Collaborative Filtering and Recipe Context for Automatic Allergy-Safe Recipe Generation.
Proceedings of the WebMedia '21: Brazilian Symposium on Multimedia and the Web, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
IEEE Trans. Neural Networks Learn. Syst., 2020
An evolutionary algorithm for automated machine learning focusing on classifier ensembles: An improved algorithm and extended results.
Theor. Comput. Sci., 2020
CoRR, 2020
Neural Networks Out-of-Distribution Detection: Hyperparameter-Free Isotropic Maximization Loss, The Principle of Maximum Entropy, Cold Training, and Branched Inferences.
CoRR, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020
An Evaluation on Competitive and Cooperative Evolutionary Algorithms for Data Clustering.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Backtracking Group Search Optimization: A Hybrid Approach for Automatic Data Clustering.
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020
2019
J. Vis. Commun. Image Represent., 2019
Enhancing batch normalized convolutional networks using displaced rectifier linear units: A systematic comparative study.
Expert Syst. Appl., 2019
Distinction Maximization Loss: Fast, Scalable, Turnkey, and Native Neural Networks Out-of-Distribution Detection simply by Replacing the SoftMax Loss.
CoRR, 2019
On the Learning Properties of Dueling DDQN in Parameter Control for Evolutionary and Swarm-based Algorithms.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2019
Hybrid K-Means and Improved Self-Adaptive Particle Swarm Optimization for Data Clustering.
Proceedings of the International Joint Conference on Neural Networks, 2019
Analyzing the impact of data representations in classification problems using clustering.
Proceedings of the International Joint Conference on Neural Networks, 2019
A Partitional Cooperative Coevolutionary Group Search Optimization Approach for Data Clustering.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019
Automatic Classification of Medicinal Plant Species Based on Color and Texture Features.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019
2018
Using Meta-learning in the Selection of the Combination Method of a Classifier Ensemble.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
SegNetRes-CRF: A Deep Convolutional Encoder-Decoder Architecture for Semantic Image Segmentation.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Alternative Population Initialization Schemes for Group Search Optimization for Data Clustering.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
SSDP+: A Diverse and More Informative Subgroup Discovery Approach for High Dimensional Data.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Population Size Control for Efficiency and Efficacy Optimization in Population Based Metaheuristics.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Evolutionary ELMs with Alternative Treatments for the Population Out-Bounded Individuals.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018
A Hybrid Improved Group Search Optimization and Otsu Method for Color Image Segmentation.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018
A Novel Evolutionary Algorithm for Automated Machine Learning Focusing on Classifier Ensembles.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018
2017
IEEE Trans. Neural Networks Learn. Syst., 2017
IEEE Trans. Neural Networks Learn. Syst., 2017
A new evolutionary algorithm for mining top-k discriminative patterns in high dimensional data.
Appl. Soft Comput., 2017
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017
2016
Quantum perceptron over a field and neural network architecture selection in a quantum computer.
Neural Networks, 2016
An efficient static gesture recognizer embedded system based on ELM pattern recognition algorithm.
J. Syst. Archit., 2016
GPU-advanced 3D electromagnetic simulations of superconductors in the Ginzburg-Landau formalism.
J. Comput. Phys., 2016
Active learning and data manipulation techniques for generating training examples in meta-learning.
Neurocomputing, 2016
Weightless neural network parameters and architecture selection in a quantum computer.
Neurocomputing, 2016
Neurocomputing, 2016
SSDP: A Simple Evolutionary Approach for Top-K Discriminative Patterns in High Dimensional Databases.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016
Physical Topology Design of Optical Networks Aided by Many-Objective Optimization Algorithms.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016
2015
Proceedings of the 2015 IEEE International Conference on Systems, 2015
Differential evolution and meta-learning for dynamic ensemble of neural network classifiers.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015
Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015
Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015
2014
An automatic methodology for construction of multi-classifier systems based on the combination of selection and fusion.
Prog. Artif. Intell., 2014
Neurocomputing, 2014
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Ensembles of evolutionary Extreme Learning Machines through differential evolution and Fitness Sharing.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
Iterative ARIMA-multiple support vector regression models for long term time series prediction.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
Investigating the use of Echo State Networks for prediction of wind power generation.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions, 2014
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014
A Hybrid Evolutionary System for Parameter Optimization and Lag Selection in Time Series Forecasting.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014
2013
Int. J. Hybrid Intell. Syst., 2013
Particle Swarm Optimization of MLP for the identification of factors related to Common Mental Disorders.
Expert Syst. Appl., 2013
Optimization of the weights and asymmetric activation function family of neural network for time series forecasting.
Expert Syst. Appl., 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Evolutionary extreme learning machine based on particle swarm optimization and clustering strategies.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Clustering and Selection Using Grouping Genetic Algorithms for Blockmodeling to Construct Neural Network Ensembles.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013
Optimizing Dynamic Ensemble Selection Procedure by Evolutionary Extreme Learning Machines and a Noise Reduction Filter.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Using good and bad diversity measures in the design of ensemble systems: A genetic algorithm approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Proceedings of the Brazilian Conference on Intelligent Systems, 2013
2012
Combining Uncertainty Sampling methods for supporting the generation of meta-examples.
Inf. Sci., 2012
Neurocomputing, 2012
Improved Evolutionary Extreme Learning Machines Based on Particle Swarm Optimization and Clustering Approaches.
Int. J. Nat. Comput. Res., 2012
Improved group search optimization based on opposite populations for feedforward networks training with weight decay.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012
Evolving Neural Networks Using Differential Evolution with Neighborhood-Based Mutation and Simple Subpopulation Scheme.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012
A Modified Artificial Fish Swarm Algorithm for the Optimization of Extreme Learning Machines.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012
2011
Proceedings of the Meta-Learning in Computational Intelligence, 2011
IEEE Trans. Syst. Man Cybern. Part B, 2011
Comparison of new activation functions in neural network for forecasting financial time series.
Neural Comput. Appl., 2011
Selecting variables with search algorithms and neural networks to improve the process of time series forecasting.
Int. J. Hybrid Intell. Syst., 2011
Int. J. Hybrid Intell. Syst., 2011
Improved Group Search Optimizer based on cooperation among groups for feedforward networks training with Weight Decay.
Proceedings of the IEEE International Conference on Systems, 2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Homogeneous Ensemble Selection through Hierarchical Clustering with a Modified Artificial Fish Swarm Algorithm.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
2010
A multi-objective memetic and hybrid methodology for optimizing the parameters and performance of artificial neural networks.
Neurocomputing, 2010
Hybrid Systems to Select Variables for Time Series Forecasting Using MLP and Search Algorithms.
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Evolutionary strategy for simultaneous optimization of parameters, topology and reservoir weights in Echo State Networks.
Proceedings of the International Joint Conference on Neural Networks, 2010
Proceedings of the Advances in Artificial Intelligence, 2010
2009
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
Proceedings of the International Joint Conference on Neural Networks, 2009
Proceedings of the International Joint Conference on Neural Networks, 2009
Hybrid Optimization Technique for Artificial Neural Networks Design.
Proceedings of the ICEIS 2009, 2009
Proceedings of the Artificial Neural Networks, 2009
Proceedings of the Artificial Neural Networks, 2009
An Analysis of Meta-learning Techniques for Ranking Clustering Algorithms Applied to Artificial Data.
Proceedings of the Artificial Neural Networks, 2009
Proceedings of the Artificial Neural Networks, 2009
2008
Clustering and co-evolution to construct neural network ensembles: An experimental study.
Neural Networks, 2008
Neurocomputing, 2008
Int. J. Hybrid Intell. Syst., 2008
Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008
Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008
Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008
Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008
Semantic mapping and K-means applied to hybrid SOM-based document organization system construction.
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008
Feature subset selection in a methodology for training and improving artificial neural network weights and connections.
Proceedings of the International Joint Conference on Neural Networks, 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
Comparative study on normalization procedures for cluster analysis of gene expression datasets.
Proceedings of the International Joint Conference on Neural Networks, 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
Investigating the use of Reservoir Computing for forecasting the hourly wind speed in short -term.
Proceedings of the International Joint Conference on Neural Networks, 2008
An improved method for automatically searching near-optimal artificial Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2008
Predicting the Performance of Learning Algorithms Using Support Vector Machines as Meta-regressors.
Proceedings of the Artificial Neural Networks, 2008
Complementary Log-Log and Probit: Activation Functions Implemented in Artificial Neural Networks.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008
2007
Appl. Soft Comput., 2007
Comparison of the Effectiveness of Different Cost Functions in Global Optimization Techniques.
Proceedings of the International Joint Conference on Neural Networks, 2007
Analysis of mammogram using self-organizing neural networks based on spatial isomorphism.
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the Artificial Neural Networks, 2007
Proceedings of the 7th International Conference on Hybrid Intelligent Systems, 2007
Proceedings of the 7th International Conference on Hybrid Intelligent Systems, 2007
Proceedings of the 7th International Conference on Hybrid Intelligent Systems, 2007
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007
2006
IEEE Trans. Neural Networks, 2006
Neurocomputing, 2006
Proceedings of the SBRN 2006, 2006
Proceedings of the SBRN 2006, 2006
Proceedings of the SBRN 2006, 2006
Proceedings of the SBRN 2006, 2006
Proceedings of the SBRN 2006, 2006
A methodology to train and improve artificial neural networks' weights and connections.
Proceedings of the International Joint Conference on Neural Networks, 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
EFuNN Ensembles Construction Using a Clustering Method and a Coevolutionary Multi-objective Genetic Algorithm.
Proceedings of the Neural Information Processing, 13th International Conference, 2006
Proceedings of the Neural Information Processing, 13th International Conference, 2006
Proceedings of the Neural Information Processing, 13th International Conference, 2006
Proceedings of the Neural Information Processing, 13th International Conference, 2006
Proceedings of the Artificial Neural Networks, 2006
Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS 2006), 2006
Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS 2006), 2006
EFuNNs Ensembles Construction Using a Clustering Method and a Coevolutionary Genetic Algorithm.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006
2005
IEEE Trans. Neural Networks, 2005
Int. J. Neural Syst., 2005
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005
Neural Network Use for the Identification of Factors Related to Common Mental Disorders.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005
Comparing Neural Network Architecture for Pattern Recognize System on Artificial Noses.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005
Hybrid Optimization Algorithm for the Definition of MLP Neural Network Architectures and Weights.
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005
Evolutionary strategies and genetic algorithms for dynamic parameter optimization of evolving fuzzy neural networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005
Proceedings of the Encyclopedia of Information Science and Technology (5 Volumes), 2005
2004
Pattern Recognit. Lett., 2004
Proceedings of the Neural Information Processing, 11th International Conference, 2004
Proceedings of the Neural Information Processing, 11th International Conference, 2004
Proceedings of the Neural Information Processing, 11th International Conference, 2004
Proceedings of the Neural Information Processing, 11th International Conference, 2004
Proceedings of the Neural Information Processing, 11th International Conference, 2004
Proceedings of the Advances in Artificial Intelligence, 2004
Proceedings of the 4th International Conference on Hybrid Intelligent Systems (HIS 2004), 2004
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004
2003
Int. J. Neural Syst., 2003
Int. J. Neural Syst., 2003
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003
A Neuro-Fuzzy Model Applied to Odor Recognition in an Artificial Nose.
Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003
2002
Um Tutorial sobre Algoritmos Genéticos.
RITA, 2002
J. Intell. Fuzzy Syst., 2002
J. Intell. Fuzzy Syst., 2002
J. Intell. Fuzzy Syst., 2002
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002
A Study of Crossvalidation and Bootstrap as Objective Functions for Genetic Algorithms.
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002
Modulatory Interaction as a Support to Modeling Neural Substrates of the Decision Process.
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002
Selection of Models for Time Series Prediction via Meta-Learning.
Proceedings of the Soft Computing Systems - Design, Management and Applications, 2002
2001
2000
Proceedings of the 6th Brazilian Symposium on Neural Networks (SBRN 2000), 2000
Proceedings of the Connectionist Models of Learning, 2000
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
Obtaining Simplified Rule Bases by Hybrid Learning.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000
1999
Sequential RAM-based Neural Networks: Learnability, Generalisation, Knowledge Extraction, and Grammatical Inference.
Int. J. Neural Syst., 1999
Int. J. Neural Syst., 1999
Editorial: "Artificial Neural Networks in Brazil: An Introduction to the Special Issue of IJNS".
Int. J. Neural Syst., 1999
Proceedings of the International Joint Conference Neural Networks, 1999
Proceedings of the International Joint Conference Neural Networks, 1999
Proceedings of the International Joint Conference Neural Networks, 1999
Proceedings of the International Joint Conference Neural Networks, 1999
Proceedings of the International Joint Conference Neural Networks, 1999
1998
Proceedings of the 5th Brazilian Symposium on Neural Networks (SBRN '98), 1998
Proceedings of the 5th Brazilian Symposium on Neural Networks (SBRN '98), 1998
Extracting Rules from Boolean Neural Networks.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998
1990
Automata theoretic aspects of temporal behaviour and computability in logical neural networks.
PhD thesis, 1990