Fernando José Von Zuben

发表

Effects of Social Ties in Knowledge Diffusion: case study on PLOS ONE pdf

Felipe Eltermann, Alan Godoy, Fernando José Von Zuben, 2016, ArXiv.

Group LASSO with Asymmetric Structure Estimation for Multi-Task Learning

Fernando José Von Zuben, Saullo H. G. Oliveira, André R. Gonçalves, 2019, IJCAI.

The construction of a Boolean competitive neural network using ideas from immunology

Fernando José Von Zuben, Leandro Nunes de Castro, Getúlio A. de Deus, 2003, Neurocomputing.

Multi-objective decision making: towards improvement of accuracy, interpretability and design autonomy in hierarchical genetic fuzzy systems

Fernando José Von Zuben, Fernando A. C. Gomide, Myriam Regattieri Delgado, 2002, 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291).

Mixture of experts applied to nonlinear dynamic systems identification: a comparative study

Fernando José Von Zuben, Clodoaldo Ap. M. Lima, André L. V. Coelho, 2002, VII Brazilian Symposium on Neural Networks, 2002. SBRN 2002. Proceedings..

omni-aiNet: An Immune-Inspired Approach for Omni Optimization

Fernando José Von Zuben, Guilherme Palermo Coelho, F. V. Zuben, 2006, ICARIS.

A Multi-Neighbor-Joining Approach for Phylogenetic Tree Reconstruction and Visualization

Fernando José Von Zuben, Ana Estela Antunes da Silva, Sérgio Furtado dos Reis, 2005, WOB.

Assessing the performance of a swarm-based biclustering technique for data imputation

Fabrício Olivetti de França, Fernando José Von Zuben, Rosana Veroneze, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Constructive learning neural network applied to identification and control of a fuel-ethanol fermentation process

Fernando José Von Zuben, Luiz Augusto da Cruz Meleiro, Rubens Maciel Filho, 2009, Eng. Appl. Artif. Intell..

Self-organization and lateral interaction in echo state network reservoirs

Fernando José Von Zuben, Levy Boccato, Romis de Faissol Attux, 2014, Neurocomputing.

Finding a high coverage set of 5-biclusters with swarm intelligence

Fabrício Olivetti de França, Fernando José Von Zuben, 2010, IEEE Congress on Evolutionary Computation.

On Bicluster Aggregation and its Benefits for Enumerative Solutions

Fernando José Von Zuben, Rosana Veroneze, Saullo Haniell Galvão de Oliveira, 2015, MLDM.

Query expansion using an immune-inspired biclustering algorithm

Fabrício Olivetti de França, Fernando José Von Zuben, Guilherme Palermo Coelho, 2010, Natural Computing.

New Perspectives for the Biclustering Problem

Fabrício Olivetti de França, Fernando José Von Zuben, George Barreto Bezerra, 2006, 2006 IEEE International Conference on Evolutionary Computation.

An immune-inspired multi-objective approach to the reconstruction of phylogenetic trees

Fernando José Von Zuben, Ana Estela Antunes da Silva, Guilherme Palermo Coelho, 2010, Neural Computing and Applications.

Self-organizing Bio-inspired Sound Transformation

Fernando José Von Zuben, Jônatas Manzolli, Marcelo F. Caetano, 2009, EvoWorkshops.

Long-term time series prediction using wrappers for variable selection and clustering for data partition

Fernando José Von Zuben, Wilfredo Jaime Puma Villanueva, Euripedes P. dos Santos, 2007, IJCNN.

A Concentration-Based Artificial Immune Network for Multi-objective Optimization

Fernando José Von Zuben, Guilherme Palermo Coelho, F. V. Zuben, 2011, EMO.

Fuzzy systems design via ensembles of ANFIS

Fernando José Von Zuben, Clodoaldo Ap. M. Lima, André L. V. Coelho, 2002, 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291).

Birds of a Feather Tweet Together: Computational Techniques to Understand User Communities in Social Networks

Alan Godoy, Fernando José Von Zuben, David Burth Kurka, 2016, #Microposts.

Evaluating the Performance of a Biclustering Algorithm Applied to Collaborative Filtering - A Comparative Analysis

Fabrício Olivetti de França, Fernando José Von Zuben, Pablo Alberto Dalbem de Castro, 2007, 7th International Conference on Hybrid Intelligent Systems (HIS 2007).

Handling Time-Varying TSP Instances

Fabrício Olivetti de França, Fernando José Von Zuben, Leandro Nunes de Castro, 2006, 2006 IEEE International Conference on Evolutionary Computation.

Nonlinear Blind Source Deconvolution Using Recurrent Prediction-Error Filters and an Artificial Immune System

Fernando José Von Zuben, Ricardo Suyama, Cristina Wada, 2009, ICA.

A Multiobjective Analysis of Adaptive Clustering Algorithms for the Definition of RBF Neural Network Centers in Regression Problems

Fernando José Von Zuben, Rosana Veroneze, André Ricardo Gonçalves, 2012, IDEAL.

An echo state network architecture based on volterra filtering and PCA with application to the channel equalization problem

Fernando José Von Zuben, Levy Boccato, Romis de Faissol Attux, 2011, The 2011 International Joint Conference on Neural Networks.

An Improved Version of the Fuzzy Set Based Evolving Modeling with Multitask Learning

Fernando José Von Zuben, Amanda O. C. Ayres, 2020, 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Identification of a multivariate fermentation process using constructive learning

Fernando José Von Zuben, Ricardo J. G. B. Campello, Luiz Augusto da Cruz Meleiro, 2002, VII Brazilian Symposium on Neural Networks, 2002. SBRN 2002. Proceedings..

A Gaussian Artificial Immune System for Multi-Objective optimization in continuous domains

Fernando José Von Zuben, Pablo Alberto Dalbem de Castro, 2010, 2010 10th International Conference on Hybrid Intelligent Systems.

Efficient mining of maximal biclusters in mixed-attribute datasets pdf

Fernando José Von Zuben, Rosana Veroneze, F. V. Zuben, 2017, ArXiv.

Investigating multiobjective methods in multitask classification

Fernando José Von Zuben, Marcos M. Raimundo, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

An Extremal Optimization approach to parallel resonance constrained capacitor placement problem pdf

Fernando José Von Zuben, Christiano Lyra, André Ricardo Gonçalves, 2017, ArXiv.

Vehicle routing based on self-organization with and without fuzzy inference

Fernando José Von Zuben, Lalinka de C. T. Gomes, 2002, 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291).

Copt-aiNet and the Gene Ordering Problem

Fernando José Von Zuben, Leandro Nunes de Castro, George Barreto Bezerra, 2003, WOB.

An improving pruning technique with restart for the Kohonen self-organizing feature map

Fernando José Von Zuben, Leandro Nunes de Castro, 1999, IJCNN.

Automatic feature selection for BCI: An analysis using the davies-bouldin index and extreme learning machines

Fernando José Von Zuben, Levy Boccato, Guilherme Palermo Coelho, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Support Vector Clustering Applied to Digital Communications

João Marcos Travassos Romano, Fernando José Von Zuben, Clodoaldo Ap. M. Lima, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Simultaneous capacitor placement and reconfiguration for loss reduction in distribution networks by a hybrid genetic algorithm

Fernando José Von Zuben, Christiano Lyra, Celso Cavellucci, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

ArTVox: Evolutionary Composition in Visual and Sound Domains

Fernando José Von Zuben, Jônatas Manzolli, Artemis Moroni, 2006, Smart Graphics.

Mapping Artificial Immune Systems into Learning Classifier Systems

Fernando José Von Zuben, Leandro Nunes de Castro, Patrícia Amâncio Vargas, 2002, IWLCS.

An Immunological Density-Preserving Approach to the Synthesis of RBF Neural Networks for classification

Fernando José Von Zuben, Leandro Nunes de Castro, George Barreto Bezerra, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Hierarchical genetic fuzzy systems

Fernando José Von Zuben, Fernando A. C. Gomide, Myriam Regattieri Delgado, 2001, Inf. Sci..

A Multiagent-Based Constructive Approach for Feedforward Neural Networks

Fernando José Von Zuben, Clodoaldo Ap. M. Lima, André L. V. Coelho, 2003, IDA.

Neural network ensembles: immune-inspired approaches to the diversity of components

Fernando José Von Zuben, Leandro Nunes de Castro, Rodrigo Pasti, 2010, Natural Computing.

On the diversity mechanisms of opt-aiNet: A comparative study with fitness sharing

Fabrício Olivetti de França, Fernando José Von Zuben, Guilherme Palermo Coelho, 2010, IEEE Congress on Evolutionary Computation.

A dynamic artificial immune algorithm applied to challenging benchmarking problems

Fabrício Olivetti de França, Fernando José Von Zuben, F. V. Zuben, 2009, IEEE Congress on Evolutionary Computation.

Multi-Objective Semantic Mutation for Genetic Programming

Fernando José Von Zuben, Joao Victor C. Fracasso, F. V. Zuben, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

Induction of linear genetic programs for relational database manipulation

Fernando José Von Zuben, Gabriel Ambrosio Archanjo, F. V. Zuben, 2011, 2011 IEEE International Conference on Information Reuse & Integration.

Data partition and variable selection for time series prediction using wrappers

Fernando José Von Zuben, Wilfredo Jaime Puma Villanueva, Euripedes P. dos Santos, 2006, IJCNN.

Learning to Anticipate Flexible Choices in Multiple Criteria Decision-Making Under Uncertainty

Fernando José Von Zuben, Carlos R. B. Azevedo, F. V. Zuben, 2016, IEEE Transactions on Cybernetics.

Synthesis of Spatio-temporal Models by the Evolution of Non-uniform Cellular Automata

Fernando José Von Zuben, Marcelo Serrano Zanetti, Wilfredo Jaime Puma Villanueva, 2009, Foundations of Computational Intelligence.

Single-Solution Hypervolume Maximization and its use for Improving Generalization of Neural Networks pdf

Fernando José Von Zuben, Conrado Silva Miranda, F. V. Zuben, 2016, ArXiv.

A Nonlinear Prediction Approach to the Blind Separation of Convolutive Mixtures

João Marcos Travassos Romano, Fernando José Von Zuben, Leonardo Tomazeli Duarte, 2007, EURASIP J. Adv. Signal Process..

Improving a multi-objective multipopulation artificial immune network for biclustering

Fabrício Olivetti de França, Fernando José Von Zuben, Guilherme Palermo Coelho, 2009, 2009 IEEE Congress on Evolutionary Computation.

An Immune-Evolutionary Algorithm for Multiple Rearrangements of Gene Expression Data

Fernando José Von Zuben, Leandro Nunes de Castro, George Barreto Bezerra, 2004, Genetic Programming and Evolvable Machines.

Ensembles of Multiobjective-Based Classifiers for Detection of Epileptic Seizures

Fernando José Von Zuben, Marcos M. Raimundo, Fernando S. Beserra, 2017, CIARP.

Extracting additive and multiplicative coherent biclusters with swarm intelligence

Fabrício Olivetti de França, Fernando José Von Zuben, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

A Hybrid Ensemble Model Applied to the Short-Term Load Forecasting Problem

Takaaki Ohishi, Fernando José Von Zuben, Clodoaldo Ap. M. Lima, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

ArTbitrating JaVox: Evolution Applied to Visual and Sound Composition

Fernando José Von Zuben, Jônatas Manzolli, Artemis Moroni, 2006, SIACG.

bicACO: An Ant Colony Inspired Biclustering Algorithm

Fabrício Olivetti de França, Fernando José Von Zuben, Guilherme Palermo Coelho, 2008, ANTS Conference.

MOBAIS: A Bayesian Artificial Immune System for Multi-Objective Optimization

Fernando José Von Zuben, Pablo Alberto Dalbem de Castro, F. V. Zuben, 2008, ICARIS.

Modelos parametricos e não-parametricos de redes neurais artificiais e aplicações

Fernando José Von Zuben, 1996 .

Topology of social networks and efficiency of collective intelligence methods

Alan Godoy, Fernando José Von Zuben, F. V. Zuben, 2013, GECCO.

Asymmetric Distributions from Constrained Mixtures pdf

Fernando José Von Zuben, Conrado Silva Miranda, F. V. Zuben, 2015, ArXiv.

A paradigm for blind IIR equalization using the constant modulus criterion and an artificial immune network

João Marcos Travassos Romano, Fernando José Von Zuben, Leandro Nunes de Castro, 2003, 2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718).

Reducing the Training Time of Neural Networks by Partitioning pdf

Fernando José Von Zuben, Conrado Silva Miranda, 2015, ArXiv.

An Immune Learning Classifier Network for Autonomous Navigation

Fernando José Von Zuben, Leandro Nunes de Castro, Patrícia Amâncio Vargas, 2003, ICARIS.

Evolving Arbitrarily Connected Feedforward Neural Networks via Genetic Algorithms

Fernando José Von Zuben, Wilfredo Jaime Puma Villanueva, F. V. Zuben, 2010, 2010 Eleventh Brazilian Symposium on Neural Networks.

Applying Biclustering to Perform Collaborative Filtering

Fabrício Olivetti de França, Fernando José Von Zuben, Pablo Alberto Dalbem de Castro, 2007, Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007).

A Step-by-Step Description of a Multi-Purpose Evolutionary Algorithm for Phylogenetic Tree Reconstruction

Fernando José Von Zuben, Oclair Prado, 2002, GECCO Late Breaking Papers.

Gradient-Based Algorithms for the Automatic Construction of Fuzzy Cognitive Maps

Fernando José Von Zuben, Salomão Sampaio Madeiro, S. S. Madeiro, 2012, 2012 11th International Conference on Machine Learning and Applications.

Evolving Phylogenetic Trees: an Alternative to Black-Box Approaches

Fernando José Von Zuben, Sérgio Furtado dos Reis, Oclair Prado, 2002, WOB.

Pattern classification with mixtures of weighted least-squares support vector machine experts

Fernando José Von Zuben, Clodoaldo Ap. M. Lima, André L. V. Coelho, 2009, Neural Computing and Applications.

A constructive algorithm to synthesize arbitrarily connected feedforward neural networks

Fernando José Von Zuben, Wilfredo Jaime Puma Villanueva, Euripedes P. dos Santos, 2012, Neurocomputing.

A Supervised Constructive Neuro-Immune Network for Pattern Classification

Fernando José Von Zuben, Leandro Nunes de Castro, Helder Knidel, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Antibodies with Adaptive Radius as Prototypes of High-Dimensional Datasets

Fernando José Von Zuben, Ricardo P. V. Violato, Alisson G. Azzolini, 2010, ICARIS.

Application of an Artificial Immune System in a Compositional Timbre Design Technique

Fernando José Von Zuben, Jônatas Manzolli, Marcelo F. Caetano, 2005, ICARIS.

Fault Detection Algorithm for Telephone Systems Based on the Danger Theory

Fernando José Von Zuben, José Carlos L. Pinto, 2005, ICARIS.

Evolutionary design of Takagi-Sugeno fuzzy systems: a modular and hierarchical approach

Fernando José Von Zuben, Fernando A. C. Gomide, Myriam Regattieri Delgado, 2000, Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063).

Immune Learning Classifier Networks: Evolving Nodes and Connections

Fernando José Von Zuben, Renato Reder Cazangi, F. V. Zuben, 2006, 2006 IEEE International Conference on Evolutionary Computation.

Multi-task Sparse Structure Learning with Gaussian Copula Models

Fernando José Von Zuben, Arindam Banerjee, André Ricardo Gonçalves, 2016, J. Mach. Learn. Res..

GAIS: A Gaussian Artificial Immune System for Continuous Optimization

Fernando José Von Zuben, Pablo Alberto Dalbem de Castro, F. V. Zuben, 2010, ICARIS.

Evolving Phylogenetic Trees: A Multiobjective Approach

Fernando José Von Zuben, Ana Estela Antunes da Silva, Guilherme Palermo Coelho, 2007, BSB.

Modular and Hierarchial Evolutionary Design of Fuzzy Systems

Fernando José Von Zuben, Fernando A. C. Gomide, Myriam Regattieri Delgado, 1999, GECCO.

Training multilayer perceptrons with a Gaussian Artificial Immune System

Fernando José Von Zuben, Pablo Alberto Dalbem de Castro, F. V. Zuben, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Immune and Neural Network Models: Theoretical and Empirical Comparisons

Fernando José Von Zuben, Leandro Nunes de Castro, 2001, Int. J. Comput. Intell. Appl..

Interactive Control of Evolution Applied to Sound Synthesis

Fernando José Von Zuben, Jônatas Manzolli, Marcelo F. Caetano, 2005, FLAIRS.

Multiple criteria optimization based on unsupervised learning and fuzzy inference applied to the vehicle routing problem

Fernando José Von Zuben, Lalinka de C. T. Gomes, 2002, J. Intell. Fuzzy Syst..

RIn-Close_CVC2: an even more efficient enumerative algorithm for biclustering of numerical datasets pdf

Fernando José Von Zuben, Rosana Veroneze, F. V. Zuben, 2018, ArXiv.

Homeostasis and evolution together dealing with novelties and managing disruptions

Phil Husbands, Fernando José Von Zuben, Patrícia Amâncio Vargas, 2009, Int. J. Intell. Comput. Cybern..

RABNET: a real-valued antibody network for data clustering

Fernando José Von Zuben, Leandro Nunes de Castro, Helder Knidel, 2005, GECCO '05.

Many-Objective Ensemble-Based Multilabel Classification

Fernando José Von Zuben, Marcos M. Raimundo, 2017, CIARP.

Improved second-order training algorithms for globally and partially recurrent neural networks

Fernando José Von Zuben, Euripedes P. dos Santos, F. V. Zuben, 1999, IJCNN.

Evaluating the performance of a Bayesian Artificial Immune System for designing fuzzy rule bases

Fernando José Von Zuben, Heloisa A. Camargo, Pablo Alberto Dalbem de Castro, 2013, Int. J. Hybrid Intell. Syst..

Applying Biclustering to Text Mining: An Immune-Inspired Approach

Fabrício Olivetti de França, Fernando José Von Zuben, Pablo Alberto Dalbem de Castro, 2007, ICARIS.

Conceptual and Practical Aspects of the aiNet Family of Algorithms

Fabrício Olivetti de França, Fernando José Von Zuben, Guilherme Palermo Coelho, 2010, Int. J. Nat. Comput. Res..

A proposal for direct-ordering gene expression data by self-organising maps

Pablo Moscato, Fernando José Von Zuben, Lalinka de C. T. Gomes, 2004, Appl. Soft Comput..

Evolutionary hybrid composition of activation functions in feedforward neural networks

Fernando José Von Zuben, Eduardo Masato Iyoda, F. V. Zuben, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Analysis of Sensitivity to the Kernel Parameter Choice: Comparing the Performance Profiles Exhibited by Standard andLeast-Squares SVM Classifiers

Fernando José Von Zuben, Clodoaldo Ap. M. Lima, André L. V. Coelho, 2007, Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007).

Performance analysis of nonlinear echo state network readouts in signal processing tasks

Fernando José Von Zuben, Levy Boccato, Romis de Faissol Attux, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Evolving an Artificial Homeostatic System

Phil Husbands, Fernando José Von Zuben, Patrícia Amâncio Vargas, 2008, SBIA.

Ordering Gene Expression Data Using One-dimensional Self-Organizing Maps

Pablo Moscato, Fernando José Von Zuben, Lalinka de C. T. Gomes, 2002, WOB.

Towards the evolution of an artificial homeostatic system

Phil Husbands, Fernando José Von Zuben, Patrícia Amâncio Vargas, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Enumerating all maximal biclusters in numerical datasets

Fernando José Von Zuben, Arindam Banerjee, Rosana Veroneze, 2014, Inf. Sci..

A heuristic method based on unsupervised learning and fuzzy inference for the vehicle routing problem

Fernando José Von Zuben, Lalinka de C. T. Gomes, 2002, VII Brazilian Symposium on Neural Networks, 2002. SBRN 2002. Proceedings..

A Concentration-based Artificial Immune Network for combinatorial optimization

Fabrício Olivetti de França, Fernando José Von Zuben, Guilherme Palermo Coelho, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Autonomous navigation system applied to collective robotics with ant-inspired communication

Fernando José Von Zuben, Renato Reder Cazangi, Maurício F. Figueiredo, 2005, GECCO '05.

Ecosystems Computing: Introduction to Biogeographic Computation

Fernando José Von Zuben, Leandro Nunes de Castro, Rodrigo Pasti, 2011, Int. J. Nat. Comput. Res..

Application of Kohonen self-organizing maps to improve the performance of objective methods for speech quality assessment

João Marcos Travassos Romano, Fernando José Von Zuben, Jayme G. A. Barbedo, 2002, 2002 11th European Signal Processing Conference.

An Evolutionary Immune Network for Data Clustering

Fernando José Von Zuben, Leandro Nunes de Castro, F. V. Zuben, 2000, SBRN.

Analysing Learning Classifier Systems in Reactive and Non-reactive Robotic Tasks

Fernando José Von Zuben, Patrícia Amâncio Vargas, Renan C. Moioli, 2007, IWLCS.

Hybrid Algorithm for Multi-Objective Optimization by Greedy Hypervolume Maximization pdf

Fernando José Von Zuben, Conrado Silva Miranda, F. V. Zuben, 2015, ArXiv.

A classifier system in real applications for robot navigation

Fernando José Von Zuben, Maurício Figueiredo, Renato Reder Cazangi, 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

Artificial Homeostatic System: A Novel Approach

Jonathan Timmis, Fernando José Von Zuben, Leandro Nunes de Castro, 2005, ECAL.

A neural architecture to address Reinforcement Learning problems

Fernando José Von Zuben, Rodrigo L. S. de Arruda, R. Arruda, 2011, The 2011 International Joint Conference on Neural Networks.

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

Fernando José Von Zuben, Rosangela Ballini, F. V. Zuben, 2000, at - Automatisierungstechnik.

Hybridizing mixtures of experts with support vector machines: Investigation into nonlinear dynamic systems identification

Fernando José Von Zuben, Clodoaldo Ap. M. Lima, André L. V. Coelho, 2007, Inf. Sci..

Anticipatory Stochastic Multi-Objective Optimization for uncertainty handling in portfolio selection

Fernando José Von Zuben, Carlos R. B. Azevedo, F. J. Zuben, 2013, 2013 IEEE Congress on Evolutionary Computation.

Multi-objective Bayesian Artificial Immune System: Empirical Evaluation and Comparative Analyses

Fernando José Von Zuben, Pablo Alberto Dalbem de Castro, F. V. Zuben, 2009, J. Math. Model. Algorithms.

An evolutionary approach for autonomous robotic tracking of dynamic targets in healthcare environments

Fernando José Von Zuben, Michael Gillam, Jonathan A. Handler, 2007, 2007 IEEE Congress on Evolutionary Computation.

Coevolutionary genetic fuzzy systems: a hierarchical collaborative approach

Fernando José Von Zuben, Fernando A. C. Gomide, Myriam Regattieri Delgado, 2004, Fuzzy Sets Syst..

Data Clustering with a Neuro-immune Network

Fernando José Von Zuben, Leandro Nunes de Castro, Helder Knidel, 2005, ICNC.

Adaptive Radius Immune Algorithm for Data Clustering

Fernando José Von Zuben, Leandro Nunes de Castro, George Barreto Bezerra, 2005, ICARIS.

Transductive Support Vector Machines for Cancer Diagnosis and Classification of Microarray Gene Expression Data

Fernando José Von Zuben, Robinson Semoline, 2002, WOB.

Feedforward neural network initialization: an evolutionary approach

Fernando José Von Zuben, Leandro Nunes de Castro, Eduardo Masato Iyoda, 1998, Proceedings 5th Brazilian Symposium on Neural Networks (Cat. No.98EX209).

Feature Subset Selection by Means of a Bayesian Artificial Immune System

Fernando José Von Zuben, Pablo Alberto Dalbem de Castro, F. V. Zuben, 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

Regularized Linear and Nonlinear Autoregressive Models for Dengue Confirmed-Cases Prediction

Fernando José Von Zuben, Larissa Braz Sousa, Claudio J. Von Zuben, 2015, UCNC.

Regularized hypervolume selection for robust portfolio optimization in dynamic environments

Fernando José Von Zuben, Carlos R. B. Azevedo, 2013, 2013 IEEE Congress on Evolutionary Computation.

Blind Source Separation of Post-nonlinear Mixtures Using Evolutionary Computation and Order Statistics

João Marcos Travassos Romano, Fernando José Von Zuben, Leonardo Tomazeli Duarte, 2006, ICA.

Learning Bayesian networks to perform feature selection

Fernando José Von Zuben, Pablo Alberto Dalbem de Castro, F. V. Zuben, 2009, 2009 International Joint Conference on Neural Networks.

Max Min Ant System and Capacitated p-Medians: Extensions and Improved Solutions

Fabrício Olivetti de França, Fernando José Von Zuben, Leandro Nunes de Castro, 2005, Informatica.

BAIS: A Bayesian Artificial Immune System for the effective handling of building blocks

Fernando José Von Zuben, Pablo Alberto Dalbem de Castro, F. V. Zuben, 2009, Inf. Sci..

Neurofuzzy interpolation. II. Reducing complexity of description

Fernando José Von Zuben, Myriam Regattieri Delgado, A. F. Rocha, 1993, IEEE International Conference on Neural Networks.

An Integrated System For Phylogenetic Inference Using Evolutionary Algorithms

Fernando José Von Zuben, Oclair Prado, 2002, GECCO.

Handling Data Sparseness in Gene Network Reconstruction

Fernando José Von Zuben, Leandro Nunes de Castro, George Barreto Bezerra, 2005, 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

Heuristics to avoid redundant solutions on population-based multimodal continuous optimization

Fernando José Von Zuben, Leandro Nunes de Castro, Rodrigo Pasti, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Microarray Feature Selection and Dynamic Selection of Classifiers for Early Detection of Insect Bite Hypersensitivity in Horses

Fernando José Von Zuben, Grazziela Patrocinio Figueredo, Jamie Twycross, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

A multi-Gaussian component EDA with restarting applied to direction of arrival tracking

Fernando José Von Zuben, Levy Boccato, Romis de Faissol Attux, 2013, 2013 IEEE Congress on Evolutionary Computation.

An immune-inspired approach to Bayesian networks

Fernando José Von Zuben, Pablo Alberto Dalbem de Castro, F. V. Zuben, 2005, Fifth International Conference on Hybrid Intelligent Systems (HIS'05).

A Complex Neighborhood based Particle Swarm Optimization

Alan Godoy, Fernando José Von Zuben, F. V. Zuben, 2009, 2009 IEEE Congress on Evolutionary Computation.

Bayesian Learning of Neural Networks by Means of Artificial Immune Systems

Fernando José Von Zuben, Pablo Alberto Dalbem de Castro, F. V. Zuben, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Learning and optimization using the clonal selection principle

Fernando José Von Zuben, Leandro Nunes de Castro, C. Coello, 2002, IEEE Trans. Evol. Comput..

Hybrid tuning of activation functions in feedforward neural networks

Fernando José Von Zuben, Fernando A. C. Gomide, Leandro Nunes de Castro, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

An extended echo state network using Volterra filtering and principal component analysis

Fernando José Von Zuben, Levy Boccato, Romis de Faissol Attux, 2012, Neural Networks.

Online learning in estimation of distribution algorithms for dynamic environments

Fernando José Von Zuben, André Ricardo Gonçalves, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Social Network Analysis : A Survey of Research Applications in Computer Science pdf

Alan Godoy, Fernando José Von Zuben, David Burth Kurka, 2015 .

Multi-Label Structure Learning with Ising Model Selection

Fernando José Von Zuben, Arindam Banerjee, André Ricardo Gonçalves, 2015, IJCAI.

Designing fuzzy rule bases with a Bayesian Artificial Immune System

Fernando José Von Zuben, Heloisa A. Camargo, Pablo Alberto Dalbem de Castro, 2011, 2011 11th International Conference on Hybrid Intelligent Systems (HIS).

Using Retweet Information as a Feature to Classify Messages Contents

Alan Godoy, Fernando José Von Zuben, David Burth Kurka, 2017, WWW.

A Wrapper for Projection Pursuit Learning

Fernando José Von Zuben, Clodoaldo Ap. M. Lima, Leonardo M. Holschuh, 2007, 2007 International Joint Conference on Neural Networks.

Automatic Determination Of Radial Basis Functions: An Immunity-Based Approach

Fernando José Von Zuben, Leandro Nunes de Castro, 2001, Int. J. Neural Syst..

Enumerating all maximal biclusters in real-valued datasets pdf

Fernando José Von Zuben, Arindam Banerjee, Rosana Veroneze, 2014, ArXiv.

A Michigan-like immune-inspired framework for performing independent component analysis over Galois fields of prime order

Everton Z. Nadalin, Fernando José Von Zuben, Jugurta R. Montalvão Filho, 2014, Signal Process..

Implementation of an immuno-genetic network on a real Khepera II robot

Fernando José Von Zuben, Leandro Nunes de Castro, Patrícia Amâncio Vargas, 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

Hybrid neural networks: An evolutionary approach with local search

Fernando José Von Zuben, Eduardo Masato Iyoda, F. V. Zuben, 2002, Integr. Comput. Aided Eng..

A Hierarchical Immune Network Applied to Gene Expression Data

Fernando José Von Zuben, Leandro Nunes de Castro, George Barreto Bezerra, 2004, ICARIS.

Evolutionary Stigmergy in Multipurpose Navigation Systems

Fernando José Von Zuben, Renato Reder Cazangi, Maurício F. Figueiredo, 2006, 2006 IEEE International Conference on Evolutionary Computation.

Multi-Objective Optimization for Self-Adjusting Weighted Gradient in Machine Learning Tasks pdf

Fernando José Von Zuben, Conrado Silva Miranda, F. V. Zuben, 2015, ArXiv.

Genetic Programming for Automating the Development of Data Management Algorithms in Information Technology Systems

Fernando José Von Zuben, Gabriel Ambrosio Archanjo, F. V. Zuben, 2012, Adv. Softw. Eng..

Multi-task Sparse Structure Learning

Fernando José Von Zuben, Vidyashankar Sivakumar, Arindam Banerjee, 2014, CIKM.

Multi-objective feature selection using a Bayesian artificial immune system

Fernando José Von Zuben, Pablo Alberto Dalbem de Castro, 2010, Int. J. Intell. Comput. Cybern..

The Influence of Supervised Clustering for RBFNN Centers Definition: A Comparative Study

Fernando José Von Zuben, Carlos R. B. Azevedo, Rosana Veroneze, 2012, ICANN.

On-Line Approach for Loss Reduction in Electric Power Distribution Networks Using Learning Classifier Systems

Fernando José Von Zuben, Christiano Lyra, Patrícia Amâncio Vargas, 2001, IWLCS.

A Multi-Objective Multipopulation Approach for Biclustering

Fabrício Olivetti de França, Fernando José Von Zuben, Guilherme Palermo Coelho, 2008, ICARIS.

Spatial Projection of Multiple Climate Variables Using Hierarchical Multitask Learning pdf

Fernando José Von Zuben, Arindam Banerjee, André Ricardo Gonçalves, 2017, AAAI.

Blind Search for Optimal Wiener Equalizers Using an Artificial Immune Network Model

João Marcos Travassos Romano, Fernando José Von Zuben, Leandro Nunes de Castro, 2003, EURASIP J. Adv. Signal Process..

The Influence of the Pool of Candidates on the Performance of Selection and Combination Techniques in Ensembles

Fernando José Von Zuben, Guilherme Palermo Coelho, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Multi-Objective Biclustering: When Non-dominated Solutions are not Enough

Fabrício Olivetti de França, Fernando José Von Zuben, Guilherme Palermo Coelho, 2009, J. Math. Model. Algorithms.

A Multiobjective Approach to Phylogenetic Trees: Selecting the Most Promising Solutions from the Pareto Front

Fernando José Von Zuben, Ana Estela Antunes da Silva, Guilherme Palermo Coelho, 2007, Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007).

Sigma-Pi Cascade Extended Hybrid Neural Network

Kaoru Hirota, Fernando José Von Zuben, Eduardo Masato Iyoda, 2002, J. Adv. Comput. Intell. Intell. Informatics.

Predicting missing values with biclustering: A coherence-based approach

Fabrício Olivetti de França, Fernando José Von Zuben, Guilherme Palermo Coelho, 2013, Pattern Recognit..

A Concentration-based Artificial Immune Network for continuous optimization

Fernando José Von Zuben, Guilherme Palermo Coelho, F. V. Zuben, 2010, IEEE Congress on Evolutionary Computation.

Learning Ensembles of Neural Networks by Means of a Bayesian Artificial Immune System

Fernando José Von Zuben, Pablo Alberto Dalbem de Castro, F. V. Zuben, 2011, IEEE Transactions on Neural Networks.

Recent Advances in Gene Expression Data Clustering: A Case Study with Comparative Results

Fernando José Von Zuben, Leandro Nunes de Castro, George Barreto Bezerra, 2004, WOB.

Density Preservation and Vector Quantization in Immune-Inspired Algorithms

Fernando José Von Zuben, Ricardo P. V. Violato, Alisson G. Azzolini, 2010, ICARIS.

An Immunological Filter for Spam

Fernando José Von Zuben, Leandro Nunes de Castro, Helder Knidel, 2006, ICARIS.

Artificial Immune Systems: structure, function, diversity and an application to biclustering

Jonathan Timmis, Fernando José Von Zuben, Leandro Nunes de Castro, 2009, Natural Computing.

A Multitask Learning View on the Earth System Model Ensemble

Fernando José Von Zuben, Arindam Banerjee, André Ricardo Gonçalves, 2015, Computing in Science & Engineering.

Hybrid genetic training of gated mixtures of experts for nonlinear time series forecasting

Fernando José Von Zuben, Clodoaldo Ap. M. Lima, André L. V. Coelho, 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

Multivariate ant colony optimization in continuous search spaces

Fabrício Olivetti de França, Fernando José Von Zuben, Guilherme Palermo Coelho, 2008, GECCO '08.

Multi-criteria analysis involving Pareto-optimal misclassification tradeoffs on imbalanced datasets

Fernando José Von Zuben, Marcos M. Raimundo, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

An artificial immune network for multimodal function optimization on dynamic environments

Fabrício Olivetti de França, Fernando José Von Zuben, Leandro Nunes de Castro, 2005, GECCO.

The Extreme Value Evolving Predictor in Multiple Time Series Learning

Fernando José Von Zuben, Amanda O. C. Ayres, 2021, ICAISC.

Scalability achievements for enumerative biclustering with online partitioning: Case studies involving mixed-attribute datasets

Fernando José Von Zuben, Rosana Veroneze, 2021, Eng. Appl. Artif. Intell..

Wind Speed Forecasting via Multi-task Learning

Fernando José Von Zuben, Gabriel R. Lencione, F. V. Zuben, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Exploring multiobjective training in multiclass classification

Fernando José Von Zuben, Marcos M. Raimundo, Thalita F. Drumond, 2021, Neurocomputing.

Simulated annealing for symbolic regression

Fernando José Von Zuben, Daniel Kantor, Fabrício Olivetti de Franca, 2021, GECCO.