Fernando J. Von Zuben

Orcid: 0000-0002-4128-5415

Affiliations:
  • University of Campinas, Sao Paulo, Brazil


According to our database1, Fernando J. Von Zuben authored at least 211 papers between 1993 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Online Multi-Task Learning with Recursive Least Squares and Recursive Kernel Methods.
CoRR, 2023

OFA<sup>2</sup>: A Multi-Objective Perspective for the Once-for-All Neural Architecture Search.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Asymmetric Multi-Task Learning with Local Transference.
ACM Trans. Knowl. Discov. Data, 2022

The Extreme Value Evolving Predictor.
IEEE Trans. Fuzzy Syst., 2022

Online Convex Optimization of a Multi-task Fuzzy Rule-based Evolving System.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

Multi-Objective Bilevel Recommender System for Food Diets.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
Exploring multiobjective training in multiclass classification.
Neurocomputing, 2021

Multitask learning applied to evolving fuzzy-rule-based predictors.
Evol. Syst., 2021

Scalability achievements for enumerative biclustering with online partitioning: Case studies involving mixed-attribute datasets.
Eng. Appl. Artif. Intell., 2021

Wind Speed Forecasting via Multi-task Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

The Extreme Value Evolving Predictor in Multiple Time Series Learning.
Proceedings of the Artificial Intelligence and Soft Computing, 2021

Simulated annealing for symbolic regression.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020
An extension of the non-inferior set estimation algorithm for many objectives.
Eur. J. Oper. Res., 2020

New advances in enumerative biclustering algorithms with online partitioning.
CoRR, 2020

Multi-criteria analysis involving Pareto-optimal misclassification tradeoffs on imbalanced datasets.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

An Improved Version of the Fuzzy Set Based Evolving Modeling with Multitask Learning.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

2019
Group LASSO with Asymmetric Structure Estimation for Multi-Task Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Microarray Feature Selection and Dynamic Selection of Classifiers for Early Detection of Insect Bite Hypersensitivity in Horses.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
RIn-Close_CVC2: an even more efficient enumerative algorithm for biclustering of numerical datasets.
CoRR, 2018

Investigating multiobjective methods in multitask classification.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Multi-Objective Semantic Mutation for Genetic Programming.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Necessary and Sufficient Conditions for Surrogate Functions of Pareto Frontiers and Their Synthesis Using Gaussian Processes.
IEEE Trans. Evol. Comput., 2017

Enumerating all maximal biclusters in numerical datasets.
Inf. Sci., 2017

Efficient mining of maximal biclusters in mixed-attribute datasets.
CoRR, 2017

An Extremal Optimization approach to parallel resonance constrained capacitor placement problem.
CoRR, 2017

Using Retweet Information as a Feature to Classify Messages Contents.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Many-Objective Ensemble-Based Multilabel Classification.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

Ensembles of Multiobjective-Based Classifiers for Detection of Epileptic Seizures.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

Spatial Projection of Multiple Climate Variables Using Hierarchical Multitask Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Learning to Anticipate Flexible Choices in Multiple Criteria Decision-Making Under Uncertainty.
IEEE Trans. Cybern., 2016

Multi-task Sparse Structure Learning with Gaussian Copula Models.
J. Mach. Learn. Res., 2016

Single-Solution Hypervolume Maximization and its use for Improving Generalization of Neural Networks.
CoRR, 2016

Effects of Social Ties in Knowledge Diffusion: case study on PLOS ONE.
CoRR, 2016

Birds of a Feather Tweet Together: Computational Techniques to Understand User Communities in Social Networks.
Proceedings of the 6th Workshop on 'Making Sense of Microposts' co-located with the 25th International World Wide Web Conference (WWW 2016), 2016

2015
A Multitask Learning View on the Earth System Model Ensemble.
Comput. Sci. Eng., 2015

Reducing the Training Time of Neural Networks by Partitioning.
CoRR, 2015

Multi-Objective Optimization for Self-Adjusting Weighted Gradient in Machine Learning Tasks.
CoRR, 2015

Hybrid Algorithm for Multi-Objective Optimization by Greedy Hypervolume Maximization.
CoRR, 2015

Asymmetric Distributions from Constrained Mixtures.
CoRR, 2015

Online Social Network Analysis: A Survey of Research Applications in Computer Science.
CoRR, 2015

Regularized Linear and Nonlinear Autoregressive Models for Dengue Confirmed-Cases Prediction.
Proceedings of the Unconventional Computation and Natural Computation, 2015

On Bicluster Aggregation and its Benefits for Enumerative Solutions.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2015

Multi-Label Structure Learning with Ising Model Selection.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014
A Michigan-like immune-inspired framework for performing independent component analysis over Galois fields of prime order.
Signal Process., 2014

Self-organization and lateral interaction in echo state network reservoirs.
Neurocomputing, 2014

Enumerating all maximal biclusters in real-valued datasets.
CoRR, 2014

Multi-task Sparse Structure Learning.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Predicting missing values with biclustering: A coherence-based approach.
Pattern Recognit., 2013

Evaluating the performance of a Bayesian Artificial Immune System for designing fuzzy rule bases.
Int. J. Hybrid Intell. Syst., 2013

Topology of social networks and efficiency of collective intelligence methods.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

A multi-Gaussian component EDA with restarting applied to direction of arrival tracking.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Regularized hypervolume selection for robust portfolio optimization in dynamic environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Anticipatory Stochastic Multi-Objective Optimization for uncertainty handling in portfolio selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
An extended echo state network using Volterra filtering and principal component analysis.
Neural Networks, 2012

A constructive algorithm to synthesize arbitrarily connected feedforward neural networks.
Neurocomputing, 2012

Genetic Programming for Automating the Development of Data Management Algorithms in Information Technology Systems.
Adv. Softw. Eng., 2012

Automatic feature selection for BCI: An analysis using the davies-bouldin index and extreme learning machines.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Performance analysis of nonlinear echo state network readouts in signal processing tasks.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

A Multiobjective Analysis of Adaptive Clustering Algorithms for the Definition of RBF Neural Network Centers in Regression Problems.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

Gradient-Based Algorithms for the Automatic Construction of Fuzzy Cognitive Maps.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

The Influence of Supervised Clustering for RBFNN Centers Definition: A Comparative Study.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011
Learning Ensembles of Neural Networks by Means of a Bayesian Artificial Immune System.
IEEE Trans. Neural Networks, 2011

Ecosystems Computing: Introduction to Biogeographic Computation.
Int. J. Nat. Comput. Res., 2011

Induction of linear genetic programs for relational database manipulation.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2011

An echo state network architecture based on volterra filtering and PCA with application to the channel equalization problem.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

A neural architecture to address Reinforcement Learning problems.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Designing fuzzy rule bases with a Bayesian Artificial Immune System.
Proceedings of the 11th International Conference on Hybrid Intelligent Systems, 2011

A Concentration-Based Artificial Immune Network for Multi-objective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2011

Assessing the performance of a swarm-based biclustering technique for data imputation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Heuristics to avoid redundant solutions on population-based multimodal continuous optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Simultaneous capacitor placement and reconfiguration for loss reduction in distribution networks by a hybrid genetic algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Online learning in estimation of distribution algorithms for dynamic environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Extracting additive and multiplicative coherent biclusters with swarm intelligence.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

A Concentration-based Artificial Immune Network for combinatorial optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Training multilayer perceptrons with a Gaussian Artificial Immune System.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Evolutionary multi-objective optimization for the vendor-managed inventory routing problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
An immune-inspired multi-objective approach to the reconstruction of phylogenetic trees.
Neural Comput. Appl., 2010

Neural network ensembles: immune-inspired approaches to the diversity of components.
Nat. Comput., 2010

Artificial Immune Systems: structure, function, diversity and an application to biclustering.
Nat. Comput., 2010

Query expansion using an immune-inspired biclustering algorithm.
Nat. Comput., 2010

Conceptual and Practical Aspects of the aiNet Family of Algorithms.
Int. J. Nat. Comput. Res., 2010

Multi-objective feature selection using a Bayesian artificial immune system.
Int. J. Intell. Comput. Cybern., 2010

Evolving Arbitrarily Connected Feedforward Neural Networks via Genetic Algorithms.
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

Antibodies with Adaptive Radius as Prototypes of High-Dimensional Datasets.
Proceedings of the Artificial Immune Systems, 9th International Conference, 2010

GAIS: A Gaussian Artificial Immune System for Continuous Optimization.
Proceedings of the Artificial Immune Systems, 9th International Conference, 2010

Density Preservation and Vector Quantization in Immune-Inspired Algorithms.
Proceedings of the Artificial Immune Systems, 9th International Conference, 2010

A Gaussian Artificial Immune System for Multi-Objective optimization in continuous domains.
Proceedings of the 10th International Conference on Hybrid Intelligent Systems (HIS 2010), 2010

Finding a high coverage set of 5-biclusters with swarm intelligence.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

On the diversity mechanisms of opt-aiNet: A comparative study with fitness sharing.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

A Concentration-based Artificial Immune Network for continuous optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Synthesis of Spatio-temporal Models by the Evolution of Non-uniform Cellular Automata.
Proceedings of the Foundations of Computational Intelligence, 2009

Pattern classification with mixtures of weighted least-squares support vector machine experts.
Neural Comput. Appl., 2009

Multi-Objective Biclustering: When Non-dominated Solutions are not Enough.
J. Math. Model. Algorithms, 2009

Multi-objective Bayesian Artificial Immune System: Empirical Evaluation and Comparative Analyses.
J. Math. Model. Algorithms, 2009

BAIS: A Bayesian Artificial Immune System for the effective handling of building blocks.
Inf. Sci., 2009

Homeostasis and evolution together dealing with novelties and managing disruptions.
Int. J. Intell. Comput. Cybern., 2009

Constructive learning neural network applied to identification and control of a fuel-ethanol fermentation process.
Eng. Appl. Artif. Intell., 2009

Learning Bayesian networks to perform feature selection.
Proceedings of the International Joint Conference on Neural Networks, 2009

Nonlinear Blind Source Deconvolution Using Recurrent Prediction-Error Filters and an Artificial Immune System.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

A Complex Neighborhood based Particle Swarm Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

A dynamic artificial immune algorithm applied to challenging benchmarking problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Improving a multi-objective multipopulation artificial immune network for biclustering.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
Evolving an Artificial Homeostatic System.
Proceedings of the Advances in Artificial Intelligence, 2008

A Multi-Objective Multipopulation Approach for Biclustering.
Proceedings of the Artificial Immune Systems, 7th International Conference, 2008

MOBAIS: A Bayesian Artificial Immune System for Multi-Objective Optimization.
Proceedings of the Artificial Immune Systems, 7th International Conference, 2008

Feature Subset Selection by Means of a Bayesian Artificial Immune System.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

Multivariate ant colony optimization in continuous search spaces.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Towards the evolution of an artificial homeostatic system.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

bicACO: An Ant Colony Inspired Biclustering Algorithm.
Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2008

2007
Hybridizing mixtures of experts with support vector machines: Investigation into nonlinear dynamic systems identification.
Inf. Sci., 2007

A Nonlinear Prediction Approach to the Blind Separation of Convolutive Mixtures.
EURASIP J. Adv. Signal Process., 2007

Evolving Phylogenetic Trees: A Multiobjective Approach.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2007

Analysing Learning Classifier Systems in Reactive and Non-reactive Robotic Tasks.
Proceedings of the Learning Classifier Systems, 2007

Analysis of Sensitivity to the Kernel Parameter Choice: Comparing the Performance Profiles Exhibited by Standard andLeast-Squares SVM Classifiers.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

A Multiobjective Approach to Phylogenetic Trees: Selecting the Most Promising Solutions from the Pareto Front.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

Applying Biclustering to Perform Collaborative Filtering.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

Long-term time series prediction using wrappers for variable selection and clustering for data partition.
Proceedings of the International Joint Conference on Neural Networks, 2007

A Wrapper for Projection Pursuit Learning.
Proceedings of the International Joint Conference on Neural Networks, 2007

Applying Biclustering to Text Mining: An Immune-Inspired Approach.
Proceedings of the Artificial Immune Systems, 6th International Conference, 2007

Evaluating the Performance of a Biclustering Algorithm Applied to Collaborative Filtering - A Comparative Analysis.
Proceedings of the 7th International Conference on Hybrid Intelligent Systems, 2007

Self-organizing Bio-inspired Sound Transformation.
Proceedings of the Applications of Evolutinary Computing, 2007

An evolutionary approach for autonomous robotic tracking of dynamic targets in healthcare environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
ArTbitrating JaVox: Evolution Applied to Visual and Sound Composition.
Proceedings of the Ibero-American Symposium in Computer Graphics, 2006

ArTVox: Evolutionary Composition in Visual and Sound Domains.
Proceedings of the Smart Graphics, 6th International Symposium, 2006

A Hybrid Ensemble Model Applied to the Short-Term Load Forecasting Problem.
Proceedings of the International Joint Conference on Neural Networks, 2006

Data partition and variable selection for time series prediction using wrappers.
Proceedings of the International Joint Conference on Neural Networks, 2006

Support Vector Clustering Applied to Digital Communications.
Proceedings of the International Joint Conference on Neural Networks, 2006

A Supervised Constructive Neuro-Immune Network for Pattern Classification.
Proceedings of the International Joint Conference on Neural Networks, 2006

The Influence of the Pool of Candidates on the Performance of Selection and Combination Techniques in Ensembles.
Proceedings of the International Joint Conference on Neural Networks, 2006

Bayesian Learning of Neural Networks by Means of Artificial Immune Systems.
Proceedings of the International Joint Conference on Neural Networks, 2006

An Immunological Density-Preserving Approach to the Synthesis of RBF Neural Networks for classification.
Proceedings of the International Joint Conference on Neural Networks, 2006

omni-aiNet: An Immune-Inspired Approach for Omni Optimization.
Proceedings of the Artificial Immune Systems, 5th International Conference, 2006

An Immunological Filter for Spam.
Proceedings of the Artificial Immune Systems, 5th International Conference, 2006

Blind Source Separation of Post-nonlinear Mixtures Using Evolutionary Computation and Order Statistics.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Immune-inspired Dynamic Optimization for Blind Spatial Equalization in Undermodeled Channels.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Handling Time-Varying TSP Instances.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

New Perspectives for the Biclustering Problem.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Evolutionary Stigmergy in Multipurpose Navigation Systems.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Immune Learning Classifier Networks: Evolving Nodes and Connections.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
Max Min Ant System and Capacitated p-Medians: Extensions and Improved Solutions.
Informatica (Slovenia), 2005

Data Clustering with a Neuro-immune Network.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Fault Detection Algorithm for Telephone Systems Based on the Danger Theory.
Proceedings of the Artificial Immune Systems: 4th International Conference, 2005

Designing Ensembles of Fuzzy Classification Systems: An Immune-Inspired Approach.
Proceedings of the Artificial Immune Systems: 4th International Conference, 2005

Application of an Artificial Immune System in a Compositional Timbre Design Technique.
Proceedings of the Artificial Immune Systems: 4th International Conference, 2005

Adaptive Radius Immune Algorithm for Data Clustering.
Proceedings of the Artificial Immune Systems: 4th International Conference, 2005

An Immune-Inspired Approach to Bayesian Networks.
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

RABNET: a real-valued antibody network for data clustering.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

An artificial immune network for multimodal function optimization on dynamic environments.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Autonomous navigation system applied to collective robotics with ant-inspired communication.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Interactive Control of Evolution Applied to Sound Synthesis.
Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005

Artificial Homeostatic System: A Novel Approach.
Proceedings of the Advances in Artificial Life, 8th European Conference, 2005

Handling Data Sparseness in Gene Network Reconstruction.
Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005

2004
An Immune-Evolutionary Algorithm for Multiple Rearrangements of Gene Expression Data.
Genet. Program. Evolvable Mach., 2004

Coevolutionary genetic fuzzy systems: a hierarchical collaborative approach.
Fuzzy Sets Syst., 2004

A proposal for direct-ordering gene expression data by self-organising maps.
Appl. Soft Comput., 2004

A Multi-Neighbor-Joining Approach for Phylogenetic Tree Reconstruction and Visualization.
Proceedings of the III Brazilian Workshop on Bioinformatics, 2004

Recent Advances in Gene Expression Data Clustering: A Case Study with Comparative Results.
Proceedings of the III Brazilian Workshop on Bioinformatics, 2004

Definition of Capacited p-Medians by a Modified Max Min Ant System with Local Search.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

A Hierarchical Immune Network Applied to Gene Expression Data.
Proceedings of the Artificial Immune Systems, Third International Conference, 2004

2003
The construction of a Boolean competitive neural network using ideas from immunology.
Neurocomputing, 2003

Blind Search for Optimal Wiener Equalizers Using an Artificial Immune Network Model.
EURASIP J. Adv. Signal Process., 2003

Copt-aiNet and the Gene Ordering Problem.
Proceedings of the II Brazilian Workshop on Bioinformatics, 2003

Hybrid genetic training of gated mixtures of experts for nonlinear time series forecasting.
Proceedings of the IEEE International Conference on Systems, 2003

Unsupervised channel equalization using fuzzy prediction-error filters.
Proceedings of the NNSP 2003, 2003

A paradigm for blind IIR equalization using the constant modulus criterion and an artificial immune network.
Proceedings of the NNSP 2003, 2003

A Multiagent-Based Constructive Approach for Feedforward Neural Networks.
Proceedings of the Advances in Intelligent Data Analysis V, 2003

An Immune Learning Classifier Network for Autonomous Navigation.
Proceedings of the Artificial Immune Systems, Second International Conference, 2003

Implementation of an immuno-genetic network on a real Khepera II robot.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

GA-based selection of components for heterogeneous ensembles of support vector machines.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

A classifier system in real applications for robot navigation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

2002
Learning and optimization using the clonal selection principle.
IEEE Trans. Evol. Comput., 2002

Multiple criteria optimization based on unsupervised learning and fuzzy inference applied to the vehicle routing problem.
J. Intell. Fuzzy Syst., 2002

Sigma-Pi Cascade Extended Hybrid Neural Network.
J. Adv. Comput. Intell. Intell. Informatics, 2002

Hybrid neural networks: An evolutionary approach with local search.
Integr. Comput. Aided Eng., 2002

Transductive Support Vector Machines for Cancer Diagnosis and Classification of Microarray Gene Expression Data.
Proceedings of the I Brazilian Workshop on Bioinformatics, 2002

Evolving Phylogenetic Trees: an Alternative to Black-Box Approaches.
Proceedings of the I Brazilian Workshop on Bioinformatics, 2002

Ordering Gene Expression Data Using One-dimensional Self-Organizing Maps.
Proceedings of the I Brazilian Workshop on Bioinformatics, 2002

Identification of a Multivariate Fermentation Process using Constructive Learning.
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002

Mixture of Experts Applied to Nonlinear Dynamic Systems Identification: A Comparative Study.
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002

A Heuristic Method Based on Unsupervised Learning and Fuzzy Inference for the Vehicle Routing Problem.
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002

Mapping Artificial Immune Systems into Learning Classifier Systems.
Proceedings of the Learning Classifier Systems, 5th International Workshop, 2002

A Step-by-Step Description of a Multi-Purpose Evolutionary Algorithm for Phylogenetic Tree Reconstruction.
Proceedings of the Late Breaking papers at the Genetic and Evolutionary Computation Conference (GECCO-2002), 2002

An Integrated System For Phylogenetic Inference Using Evolutionary Algorithms.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Fuzzy systems design via ensembles of ANFIS.
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

Vehicle routing based on self-organization with and without fuzzy inference.
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

Multi-objective decision making: towards improvement of accuracy, interpretability and design autonomy in hierarchical genetic fuzzy systems.
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

Application of Kohonen self-organizing maps to improve the performance of objective methods for speech quality assessment.
Proceedings of the 11th European Signal Processing Conference, 2002

Capturing human judgment to simulate objective function.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

Decentralized control system for autonomous navigation based on an evolved artificial immune network.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

Coevolutionary design of Takagi-Sugeno fuzzy systems.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

Makespan minimization on parallel processors: an immune-based approach.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001
Hierarchical genetic fuzzy systems.
Inf. Sci., 2001

Automatic Determination Of Radial Basis Functions: An Immunity-Based Approach.
Int. J. Neural Syst., 2001

Immune and Neural Network Models: Theoretical and Empirical Comparisons.
Int. J. Comput. Intell. Appl., 2001

On-Line Approach for Loss Reduction in Electric Power Distribution Networks Using Learning Classifier Systems.
Proceedings of the Advances in Learning Classifier Systems, 4th International Workshop, 2001

2000
Application of neural networks to adaptive control of nonlinear systems: G.W. Ng, Control Systems Centre Series, UMIST, UK, 1997, ISBN: 0-86380-214-1.
Autom., 2000

An Evolutionary Immune Network for Data Clustering.
Proceedings of the 6th Brazilian Symposium on Neural Networks (SBRN 2000), 2000

Evolutionary design of Takagi-Sugeno fuzzy systems: a modular and hierarchical approach.
Proceedings of the Ninth IEEE International Conference on Fuzzy Systems, 2000

1999
Improved second-order training algorithms for globally and partially recurrent neural networks.
Proceedings of the International Joint Conference Neural Networks, 1999

Evolutionary hybrid composition of activation functions in feedforward neural networks.
Proceedings of the International Joint Conference Neural Networks, 1999

An improving pruning technique with restart for the Kohonen self-organizing feature map.
Proceedings of the International Joint Conference Neural Networks, 1999

Hybrid tuning of activation functions in feedforward neural networks.
Proceedings of the International Joint Conference Neural Networks, 1999

Modular and Hierarchial Evolutionary Design of Fuzzy Systems.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999

Evolutionary computation applied to algorithmic composition.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999

Evolutionary design of neurofuzzy networks for pattern classification.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999

1998
Feedforward Neural Network Initialization: an Evolutionary Approach.
Proceedings of the 5th Brazilian Symposium on Neural Networks (SBRN '98), 1998

1997
Projection pursuit and the solvability condition applied to constructive learning.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996
Modelos parametricos e não-parametricos de redes neurais artificiais e aplicações.
PhD thesis, 1996

1995
Second-order training for recurrent neural networks without teacher-forcing.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

Unit-growing learning optimizing the solvability condition for model-free regression.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

1993
Neurofuzzy interpolation. II. Reducing complexity of description.
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993


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