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Fernando J. Von Zuben

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

101

Venues

23

Active years

1999–2024

Best venue rank

A*

Where they publish

Papers

101 indexed papers, newest first.

YearVenueTitleAuthors
2024IJCNNOFARafael C. Ito, Emely Pujlli da Silva, Fernando J. Von Zuben
2023IJCNNOFARafael C. Ito, Fernando J. Von Zuben
2022CECMulti-Objective Bilevel Recommender System for Food Diets.Vtor O. Pochmann, Fernando J. Von Zuben
2021GECCOSimulated annealing for symbolic regression.Daniel Kantor, Fernando J. Von Zuben, Fabrcio Olivetti de Frana
2021ICAISCThe Extreme Value Evolving Predictor in Multiple Time Series Learning.Amanda O. C. Ayres, Fernando J. Von Zuben
2021IJCNNWind Speed Forecasting via Multi-task Learning.Gabriel R. Lencione, Fernando J. Von Zuben
2020IJCNNMulti-criteria analysis involving Pareto-optimal misclassification tradeoffs on imbalanced datasets.Marcos M. Raimundo, Fernando J. Von Zuben
2019CECMicroarray Feature Selection and Dynamic Selection of Classifiers for Early Detection of Insect Bite Hypersensitivity in Horses.Alexandre Maciel-Guerra, Grazziela P. Figueredo, Fernando J. Von Zuben, Eliane Marti, Jamie Twycross, Marcos J. C. Alcocer
2019IJCAIGroup LASSO with Asymmetric Structure Estimation for Multi-Task Learning.Saullo H. G. Oliveira, Andr R. Gonalves, Fernando J. Von Zuben
2018CECMulti-Objective Semantic Mutation for Genetic Programming.Joao Victor C. Fracasso, Fernando J. Von Zuben
2018IJCNNInvestigating multiobjective methods in multitask classification.Marcos M. Raimundo, Fernando J. Von Zuben
2017AAAISpatial Projection of Multiple Climate Variables Using Hierarchical Multitask Learning.Andr R. Gonalves, Arindam Banerjee, Fernando J. Von Zuben
2017CIARPEnsembles of Multiobjective-Based Classifiers for Detection of Epileptic Seizures.Fernando S. Beserra, Marcos M. Raimundo, Fernando J. Von Zuben
2017CIARPMany-Objective Ensemble-Based Multilabel Classification.Marcos M. Raimundo, Fernando J. Von Zuben
2017WWWUsing Retweet Information as a Feature to Classify Messages Contents.David Burth Kurka, Alan Godoy, Fernando J. Von Zuben
2015IJCAIMulti-Label Structure Learning with Ising Model Selection.Andr R. Gonalves, Fernando J. Von Zuben, Arindam Banerjee
2015UCRegularized Linear and Nonlinear Autoregressive Models for Dengue Confirmed-Cases Prediction.Larissa Braz Sousa, Claudio J. Von Zuben, Fernando J. Von Zuben
2014CIKMMulti-task Sparse Structure Learning.Andr R. Gonalves, Puja Das, Soumyadeep Chatterjee, Vidyashankar Sivakumar, Fernando J. Von Zuben, Arindam Banerjee
2013CECAnticipatory Stochastic Multi-Objective Optimization for uncertainty handling in portfolio selection.Carlos R. B. Azevedo, Fernando J. Von Zuben
2013CECRegularized hypervolume selection for robust portfolio optimization in dynamic environments.Carlos R. B. Azevedo, Fernando J. Von Zuben
2013CECA multi-Gaussian component EDA with restarting applied to direction of arrival tracking.Andr R. Gonalves, Levy Boccato, Romis Attux, Fernando J. Von Zuben
2013GECCOTopology of social networks and efficiency of collective intelligence methods.Alan Godoy, Fernando J. Von Zuben
2012ICANNThe Influence of Supervised Clustering for RBFNN Centers Definition: A Comparative Study.Andr R. Gonalves, Rosana Veroneze, Salomo Sampaio Madeiro, Carlos R. B. Azevedo, Fernando J. Von Zuben
2012ICMLAGradient-Based Algorithms for the Automatic Construction of Fuzzy Cognitive Maps.Salomo Sampaio Madeiro, Fernando J. Von Zuben
2012IJCNNPerformance analysis of nonlinear echo state network readouts in signal processing tasks.Levy Boccato, Diogo C. Soriano, Romis Attux, Fernando J. Von Zuben
2012IJCNNAutomatic feature selection for BCI: An analysis using the davies-bouldin index and extreme learning machines.Guilherme Palermo Coelho, Celso C. Barbante, Levy Boccato, Romis Ribeiro Faissol Attux, Jose R. Oliveira, Fernando J. Von Zuben
2012IDEALA Multiobjective Analysis of Adaptive Clustering Algorithms for the Definition of RBF Neural Network Centers in Regression Problems.Rosana Veroneze, Andr R. Gonalves, Fernando J. Von Zuben
2011CECEvolutionary multi-objective optimization for the vendor-managed inventory routing problem.Regina M. Azuma, Guilherme Palermo Coelho, Fernando J. Von Zuben
2011CECTraining multilayer perceptrons with a Gaussian Artificial Immune System.Pablo A. D. Castro, Fernando J. Von Zuben
2011CECA Concentration-based Artificial Immune Network for combinatorial optimization.Guilherme Palermo Coelho, Fabrcio Olivetti de Frana, Fernando J. Von Zuben
2011CECExtracting additive and multiplicative coherent biclusters with swarm intelligence.Fabrcio Olivetti de Frana, Fernando J. Von Zuben
2011CECOnline learning in estimation of distribution algorithms for dynamic environments.Andr R. Gonalves, Fernando J. Von Zuben
2011CECSimultaneous capacitor placement and reconfiguration for loss reduction in distribution networks by a hybrid genetic algorithm.Salomo Sampaio Madeiro, Edson Galvao, Celso Cavellucci, Christiano Lyra, Fernando J. Von Zuben
2011CECHeuristics to avoid redundant solutions on population-based multimodal continuous optimization.Rodrigo Pasti, Fernando J. Von Zuben, Renato Dourado Maia, Leandro Nunes de Castro
2011CECAssessing the performance of a swarm-based biclustering technique for data imputation.Rosana Veroneze, Fabrcio Olivetti de Frana, Fernando J. Von Zuben
2011EMOA Concentration-Based Artificial Immune Network for Multi-objective Optimization.Guilherme Palermo Coelho, Fernando J. Von Zuben
2011HISDesigning fuzzy rule bases with a Bayesian Artificial Immune System.Pablo A. D. Castro, Heloisa A. Camargo, Fernando J. Von Zuben
2011IJCNNA neural architecture to address Reinforcement Learning problems.Rodrigo L. S. de Arruda, Fernando J. Von Zuben
2011IJCNNAn echo state network architecture based on volterra filtering and PCA with application to the channel equalization problem.Levy Boccato, Amauri Lopes, Romis Attux, Fernando J. Von Zuben
2011IRIInduction of linear genetic programs for relational database manipulation.Gabriel Ambrosio Archanjo, Fernando J. Von Zuben
2010CECA Concentration-based Artificial Immune Network for continuous optimization.Guilherme Palermo Coelho, Fernando J. Von Zuben
2010CECOn the diversity mechanisms of opt-aiNet: A comparative study with fitness sharing.Fabrcio Olivetti de Frana, Guilherme Palermo Coelho, Fernando J. Von Zuben
2010CECFinding a high coverage set of 5-biclusters with swarm intelligence.Fabrcio Olivetti de Frana, Fernando J. Von Zuben
2010HISA Gaussian Artificial Immune System for Multi-Objective optimization in continuous domains.Pablo A. D. Castro, Fernando J. Von Zuben
2009CECImproving a multi-objective multipopulation artificial immune network for biclustering.Guilherme Palermo Coelho, Fabrcio Olivetti de Frana, Fernando J. Von Zuben
2009CECA dynamic artificial immune algorithm applied to challenging benchmarking problems.Fabrcio Olivetti de Frana, Fernando J. Von Zuben
2009CECA Complex Neighborhood based Particle Swarm Optimization.Alan Godoy, Fernando J. Von Zuben
2009IJCNNLearning Bayesian networks to perform feature selection.Pablo A. D. Castro, Fernando J. Von Zuben
2009IDANonlinear Blind Source Deconvolution Using Recurrent Prediction-Error Filters and an Artificial Immune System.Cristina Wada, Douglas M. Consolaro, Rafael Ferrari, Ricardo Suyama, Romis Ribeiro Faissol Attux, Fernando J. Von Zuben
2008CECTowards the evolution of an artificial homeostatic system.Renan Cipriano Moioli, Patrcia Amncio Vargas, Fernando J. Von Zuben, Phil Husbands
2008GECCOMultivariate ant colony optimization in continuous search spaces.Fabrcio Olivetti de Frana, Guilherme Palermo Coelho, Fernando J. Von Zuben, Romis Ribeiro Faissol Attux
2008HISFeature Subset Selection by Means of a Bayesian Artificial Immune System.Pablo A. D. Castro, Fernando J. Von Zuben
2007CECAn evolutionary approach for autonomous robotic tracking of dynamic targets in healthcare environments.Renato Reder Cazangi, Craig Feied, Michael Gillam, Jonathan A. Handler, Mark S. Smith, Fernando J. Von Zuben
2007HISEvaluating the Performance of a Biclustering Algorithm Applied to Collaborative Filtering - A Comparative Analysis.Pablo Alberto Dalbem de Castro, Fabrcio Olivetti de Frana, Hamilton M. Ferreira, Fernando J. Von Zuben
2007IJCNNA Wrapper for Projection Pursuit Learning.Leonardo M. Holschuh, Clodoaldo Ap. M. Lima, Fernando J. Von Zuben
2007IJCNNLong-term time series prediction using wrappers for variable selection and clustering for data partition.Wilfredo Jaime Puma Villanueva, Euripedes P. dos Santos, Fernando J. Von Zuben
2007ISDAApplying Biclustering to Perform Collaborative Filtering.Pablo A. D. de Castro, Fabrcio Olivetti de Frana, Hamilton M. Ferreira, Fernando J. Von Zuben
2007ISDAA Multiobjective Approach to Phylogenetic Trees: Selecting the Most Promising Solutions from the Pareto Front.Guilherme Palermo Coelho, Fernando J. Von Zuben, Ana Estela Antunes da Silva
2007ISDAAnalysis of Sensitivity to the Kernel Parameter Choice: Comparing the Performance Profiles Exhibited by Standard andLeast-Squares SVM Classifiers.Clodoaldo Ap. M. Lima, Andr L. V. Coelho, Fernando J. Von Zuben
2006CECImmune Learning Classifier Networks: Evolving Nodes and Connections.Renato Reder Cazangi, Fernando J. Von Zuben
2006CECEvolutionary Stigmergy in Multipurpose Navigation Systems.Renato Reder Cazangi, Fernando J. Von Zuben, Maurcio F. Figueiredo
2006CECNew Perspectives for the Biclustering Problem.Fabrcio Olivetti de Frana, George Barreto Bezerra, Fernando J. Von Zuben
2006CECHandling Time-Varying TSP Instances.Fabrcio Olivetti de Frana, Lalinka de C. T. Gomes, Leandro Nunes de Castro, Fernando J. Von Zuben
2006CECImmune-inspired Dynamic Optimization for Blind Spatial Equalization in Undermodeled Channels.Cynthia Junqueira, Fabrcio Olivetti de Frana, Romis Ribeiro Faissol Attux, Cristiano M. Panazio, Leandro Nunes de Castro, Fernando J. Von Zuben, Joo Marcos Travassos Romano
2006IJCNNAn Immunological Density-Preserving Approach to the Synthesis of RBF Neural Networks for classification.Tiago V. Barra, George Barreto Bezerra, Leandro Nunes de Castro, Fernando J. Von Zuben
2006IJCNNBayesian Learning of Neural Networks by Means of Artificial Immune Systems.Pablo A. D. Castro, Fernando J. Von Zuben
2006IJCNNThe Influence of the Pool of Candidates on the Performance of Selection and Combination Techniques in Ensembles.Guilherme Palermo Coelho, Fernando J. Von Zuben
2006IJCNNA Supervised Constructive Neuro-Immune Network for Pattern Classification.Helder Knidel, Fernando J. Von Zuben, Leandro Nunes de Castro
2006IJCNNSupport Vector Clustering Applied to Digital Communications.Clodoaldo Ap. M. Lima, Rafael Ferrari, Helder Knidel, Cynthia Junqueira, Romis Ribeiro Faissol Attux, Joo Marcos Travassos Romano, Fernando J. Von Zuben
2006IJCNNData partition and variable selection for time series prediction using wrappers.Wilfredo Jaime Puma Villanueva, Euripedes P. dos Santos, Fernando J. Von Zuben
2006IJCNNA Hybrid Ensemble Model Applied to the Short-Term Load Forecasting Problem.Ricardo Menezes Salgado, Joaquim J. F. Pereira, Takaaki Ohishi, Rosangela Ballini, Clodoaldo Ap. M. Lima, Fernando J. Von Zuben
2005CIBCBHandling Data Sparseness in Gene Network Reconstruction.George Barreto Bezerra, Tiago V. Barra, Fernando J. Von Zuben, Leandro Nunes de Castro
2005FlAIRSInteractive Control of Evolution Applied to Sound Synthesis.Marcelo F. Caetano, Jnatas Manzolli, Fernando J. Von Zuben
2005GECCOAutonomous navigation system applied to collective robotics with ant-inspired communication.Renato Reder Cazangi, Fernando J. Von Zuben, Maurcio F. Figueiredo
2005GECCOAn artificial immune network for multimodal function optimization on dynamic environments.Fabrcio Olivetti de Frana, Fernando J. Von Zuben, Leandro Nunes de Castro
2005GECCORABNET: a real-valued antibody network for data clustering.Helder Knidel, Leandro Nunes de Castro, Fernando J. Von Zuben
2005HISAn Immune-Inspired Approach to Bayesian Networks.Pablo Alberto Dalbem de Castro, Fernando J. Von Zuben
2005ICNCData Clustering with a Neuro-immune Network.Helder Knidel, Leandro Nunes de Castro, Fernando J. Von Zuben
2005IJCNNLeast-squares support vector machines for DOA estimation: a step-by-step description and sensitivity analysis.Clodoaldo Ap. M. Lima, Cynthia Junqueira, Ricardo Suyama, Fernando J. Von Zuben, Joo Marcos Travassos Romano
2005IJCNNMixture of heterogeneous experts applied to time series: a comparative study.Wilfredo Jaime Puma Villanueva, Clodoaldo Ap. M. Lima, Euripedes P. dos Santos, Fernando J. Von Zuben
2004ICONIPDefinition of Capacited p-Medians by a Modified Max Min Ant System with Local Search.Fabrcio Olivetti de Frana, Fernando J. Von Zuben, Leandro Nunes de Castro
2003CECA classifier system in real applications for robot navigation.Renato Reder Cazangi, Fernando J. Von Zuben, Maurcio F. Figueiredo
2003CECGA-based selection of components for heterogeneous ensembles of support vector machines.Andr L. V. Coelho, Clodoaldo Ap. M. Lima, Fernando J. Von Zuben
2003CECImplementation of an immuno-genetic network on a real Khepera II robot.Patrcia Amncio Vargas, Leandro Nunes de Castro, Roberto Michelan, Fernando J. Von Zuben
2003IJCNNConstructive neural network in model-based control of a biotechnological process.Luiz Augusto da Cruz Meleiro, Rubens Maciel Filho, Fernando J. Von Zuben
2003IJCNNTransductive support vector machines for classification of microarray gene expression data.Robinson Semolini, Fernando J. Von Zuben
2003IDAA Multiagent-Based Constructive Approach for Feedforward Neural Networks.Clodoaldo Ap. M. Lima, Andr Lus Vasconcelos Coelho, Fernando J. Von Zuben
2003SMCHybrid genetic training of gated mixtures of experts for nonlinear time series forecasting.Andr L. V. Coelho, Clodoaldo Ap. M. Lima, Fernando J. Von Zuben
2002CECMakespan minimization on parallel processors: an immune-based approach.Alysson M. Costa, Patrcia A. Vargas, Fernando J. Von Zuben, Paulo Morelato Frana
2002CECCoevolutionary design of Takagi-Sugeno fuzzy systems.Myriam Regattieri Delgado, Fernando J. Von Zuben, Fernando A. C. Gomide
2002CECDecentralized control system for autonomous navigation based on an evolved artificial immune network.Roberto Michelan, Fernando J. Von Zuben
2002CECCapturing human judgment to simulate objective function.Artemis Moroni, Fernando J. Von Zuben, Jnatas Manzolli, A. Mammana
2002GECCOAn Integrated System For Phylogenetic Inference Using Evolutionary Algorithms.Oclair Prado, Fernando J. Von Zuben
2002GECCOA Step-by-Step Description of a Multi-Purpose Evolutionary Algorithm for Phylogenetic Tree Reconstruction.Oclair Prado, Fernando J. Von Zuben
1999CECEvolutionary design of neurofuzzy networks for pattern classification.Eduardo Masato Iyoda, Leandro Nunes de Castro, Fernando A. C. Gomide, Fernando J. Von Zuben
1999CECEvolutionary computation applied to algorithmic composition.Artemis Moroni, Jnatas Manzolli, Fernando J. Von Zuben, Ricardo R. Gudwin
1999GECCOModular and Hierarchial Evolutionary Design of Fuzzy Systems.Myriam Regattieri Delgado, Fernando J. Von Zuben, Fernando A. C. Gomide
1999IJCNNHybrid tuning of activation functions in feedforward neural networks.Leandro Nunes de Castro, Luis Alberto Ramirez, Fernando A. C. Gomide, Fernando J. Von Zuben
1999IJCNNAn improving pruning technique with restart for the Kohonen self-organizing feature map.Leandro Nunes de Castro, Fernando J. Von Zuben
1999IJCNNEvolutionary hybrid composition of activation functions in feedforward neural networks.Eduardo Masato Iyoda, Fernando J. Von Zuben
1999IJCNNImproved second-order training algorithms for globally and partially recurrent neural networks.Euripedes P. dos Santos, Fernando J. Von Zuben