Fernando J. Von Zuben

ORCID

Publication Activity (10 Years)

Years Active: 1995-2023
Publications (10 Years): 35

Top Venues

CoRR

IJCNN

CEC

IEEE Congress on Evolutionary Computation

Publications

Rafael C. Ito, Fernando J. Von Zuben
: A Multi-Objective Perspective for the Once-for-All Neural Architecture Search. CoRR (2023)
Rafael C. Ito, Fernando J. Von Zuben
: A Multi-Objective Perspective for the Once-for-All Neural Architecture Search. IJCNN (2023)
Gabriel R. Lencione, Fernando J. Von Zuben
Online Multi-Task Learning with Recursive Least Squares and Recursive Kernel Methods. CoRR (2023)
Gabriel R. Lencione, Amanda O. C. Ayres, Fernando J. Von Zuben
Online Convex Optimization of a Multi-task Fuzzy Rule-based Evolving System. FUZZ-IEEE (2022)
Vítor O. Pochmann, Fernando J. Von Zuben
Multi-Objective Bilevel Recommender System for Food Diets. CEC (2022)
Saullo H. G. Oliveira, André R. Gonçalves, Fernando J. Von Zuben
Asymmetric Multi-Task Learning with Local Transference. ACM Trans. Knowl. Discov. Data 16 (5) (2022)
Amanda O. C. Ayres, Fernando J. Von Zuben
The Extreme Value Evolving Predictor. IEEE Trans. Fuzzy Syst. 30 (3) (2022)
Rosana Veroneze, Fernando J. Von Zuben
Scalability achievements for enumerative biclustering with online partitioning: Case studies involving mixed-attribute datasets. Eng. Appl. Artif. Intell. 100 (2021)
Gabriel R. Lencione, Fernando J. Von Zuben
Wind Speed Forecasting via Multi-task Learning. IJCNN (2021)
Amanda O. C. Ayres, Fernando J. Von Zuben
Multitask learning applied to evolving fuzzy-rule-based predictors. Evol. Syst. 12 (2) (2021)
Daniel Kantor, Fernando J. Von Zuben, Fabrício Olivetti de França
Simulated annealing for symbolic regression. GECCO (2021)
Amanda O. C. Ayres, Fernando J. Von Zuben
The Extreme Value Evolving Predictor in Multiple Time Series Learning. ICAISC (1) (2021)
Marcos M. Raimundo, Thalita F. Drumond, Alan Caio R. Marques, Christiano Lyra, Anderson Rocha, Fernando J. Von Zuben
Exploring multiobjective training in multiclass classification. Neurocomputing 435 (2021)
Amanda O. C. Ayres, Fernando J. Von Zuben
An Improved Version of the Fuzzy Set Based Evolving Modeling with Multitask Learning. FUZZ-IEEE (2020)
Marcos M. Raimundo, Paulo A. V. Ferreira, Fernando J. Von Zuben
An extension of the non-inferior set estimation algorithm for many objectives. Eur. J. Oper. Res. 284 (1) (2020)
Marcos M. Raimundo, Fernando J. Von Zuben
Multi-criteria analysis involving Pareto-optimal misclassification tradeoffs on imbalanced datasets. IJCNN (2020)
Rosana Veroneze, Fernando J. Von Zuben
New advances in enumerative biclustering algorithms with online partitioning. CoRR (2020)
Alexandre Maciel-Guerra, Grazziela P. Figueredo, Fernando J. Von Zuben, Eliane Marti, Jamie Twycross, Marcos J. C. Alcocer
Microarray Feature Selection and Dynamic Selection of Classifiers for Early Detection of Insect Bite Hypersensitivity in Horses. CEC (2019)
Saullo H. G. Oliveira, André R. Gonçalves, Fernando J. Von Zuben
Group LASSO with Asymmetric Structure Estimation for Multi-Task Learning. IJCAI (2019)
Rosana Veroneze, Fernando J. Von Zuben
RIn-Close_CVC2: an even more efficient enumerative algorithm for biclustering of numerical datasets. CoRR (2018)
Joao Victor C. Fracasso, Fernando J. Von Zuben
Multi-Objective Semantic Mutation for Genetic Programming. CEC (2018)
Marcos M. Raimundo, Fernando J. Von Zuben
Investigating multiobjective methods in multitask classification. IJCNN (2018)
Rosana Veroneze, Arindam Banerjee, Fernando J. Von Zuben
Enumerating all maximal biclusters in numerical datasets. Inf. Sci. 379 (2017)
Rosana Veroneze, Fernando J. Von Zuben
Efficient mining of maximal biclusters in mixed-attribute datasets. CoRR (2017)
Marcos M. Raimundo, Fernando J. Von Zuben
Many-Objective Ensemble-Based Multilabel Classification. CIARP (2017)
André R. Gonçalves, Celso C. Cavelucci, Christiano Lyra Filho, Fernando J. Von Zuben
An Extremal Optimization approach to parallel resonance constrained capacitor placement problem. CoRR (2017)
André R. Gonçalves, Arindam Banerjee, Fernando J. Von Zuben
Spatial Projection of Multiple Climate Variables Using Hierarchical Multitask Learning. AAAI (2017)
Fernando S. Beserra, Marcos M. Raimundo, Fernando J. Von Zuben
Ensembles of Multiobjective-Based Classifiers for Detection of Epileptic Seizures. CIARP (2017)
David Burth Kurka, Alan Godoy, Fernando J. Von Zuben
Using Retweet Information as a Feature to Classify Messages Contents. WWW (Companion Volume) (2017)
Conrado Silva Miranda, Fernando J. Von Zuben
Necessary and Sufficient Conditions for Surrogate Functions of Pareto Frontiers and Their Synthesis Using Gaussian Processes. IEEE Trans. Evol. Comput. 21 (1) (2017)
André R. Gonçalves, Arindam Banerjee, Fernando J. Von Zuben
Spatial Projection of Multiple Climate Variables using Hierarchical Multitask Learning. CoRR (2017)
David Burth Kurka, Alan Godoy, Fernando J. Von Zuben
Birds of a Feather Tweet Together: Computational Techniques to Understand User Communities in Social Networks. #Microposts (2016)
André R. Gonçalves, Fernando J. Von Zuben, Arindam Banerjee
Multi-task Sparse Structure Learning with Gaussian Copula Models. J. Mach. Learn. Res. 17 (2016)
Carlos R. B. Azevedo, Fernando J. Von Zuben
Learning to Anticipate Flexible Choices in Multiple Criteria Decision-Making Under Uncertainty. IEEE Trans. Cybern. 46 (3) (2016)
Felipe Eltermann, Alan Godoy, Fernando J. Von Zuben
Effects of Social Ties in Knowledge Diffusion: case study on PLOS ONE. CoRR (2016)
Larissa Braz Sousa, Claudio J. Von Zuben, Fernando J. Von Zuben
Regularized Linear and Nonlinear Autoregressive Models for Dengue Confirmed-Cases Prediction. UCNC (2015)
André R. Gonçalves, Fernando J. Von Zuben, Arindam Banerjee
A Multitask Learning View on the Earth System Model Ensemble. Comput. Sci. Eng. 17 (6) (2015)
Conrado Silva Miranda, Fernando J. Von Zuben
Asymmetric Distributions from Constrained Mixtures. CoRR (2015)
André R. Gonçalves, Fernando J. Von Zuben, Arindam Banerjee
Multi-Label Structure Learning with Ising Model Selection. IJCAI (2015)
Saullo Haniell Galvão de Oliveira, Rosana Veroneze, Fernando J. Von Zuben
On Bicluster Aggregation and its Benefits for Enumerative Solutions. MLDM (2015)
David Burth Kurka, Alan Godoy, Fernando J. Von Zuben
Online Social Network Analysis: A Survey of Research Applications in Computer Science. CoRR (2015)
Daniel G. Silva, Everton Z. Nadalin, Guilherme Palermo Coelho, Leonardo Tomazeli Duarte, Ricardo Suyama, Romis Attux, Fernando J. Von Zuben, Jugurta Montalvão
A Michigan-like immune-inspired framework for performing independent component analysis over Galois fields of prime order. Signal Process. 96 (2014)
André R. Gonçalves, Puja Das, Soumyadeep Chatterjee, Vidyashankar Sivakumar, Fernando J. Von Zuben, Arindam Banerjee
Multi-task Sparse Structure Learning. CIKM (2014)
André R. Gonçalves, Puja Das, Soumyadeep Chatterjee, Vidyashankar Sivakumar, Fernando J. Von Zuben, Arindam Banerjee
Multi-task Sparse Structure Learning. CoRR (2014)
Rosana Veroneze, Arindam Banerjee, Fernando J. Von Zuben
Enumerating all maximal biclusters in real-valued datasets. CoRR (2014)
Levy Boccato, Romis Attux, Fernando J. Von Zuben
Self-organization and lateral interaction in echo state network reservoirs. Neurocomputing 138 (2014)
Carlos R. B. Azevedo, Fernando J. Von Zuben
Anticipatory Stochastic Multi-Objective Optimization for uncertainty handling in portfolio selection. IEEE Congress on Evolutionary Computation (2013)
Alan Godoy, Fernando J. Von Zuben
Topology of social networks and efficiency of collective intelligence methods. GECCO (Companion) (2013)
Carlos R. B. Azevedo, Fernando J. Von Zuben
Regularized hypervolume selection for robust portfolio optimization in dynamic environments. IEEE Congress on Evolutionary Computation (2013)
André R. Gonçalves, Levy Boccato, Romis Attux, Fernando J. Von Zuben
A multi-Gaussian component EDA with restarting applied to direction of arrival tracking. IEEE Congress on Evolutionary Computation (2013)
Pablo A. D. Castro, Heloisa A. Camargo, Fernando J. Von Zuben
Evaluating the performance of a Bayesian Artificial Immune System for designing fuzzy rule bases. Int. J. Hybrid Intell. Syst. 10 (2) (2013)
Fabrício Olivetti de França, Guilherme Palermo Coelho, Fernando J. Von Zuben
Predicting missing values with biclustering: A coherence-based approach. Pattern Recognit. 46 (5) (2013)
Salomão Sampaio Madeiro, Fernando J. Von Zuben
Gradient-Based Algorithms for the Automatic Construction of Fuzzy Cognitive Maps. ICMLA (1) (2012)
Wilfredo Jaime Puma Villanueva, Euripedes P. dos Santos, Fernando J. Von Zuben
A constructive algorithm to synthesize arbitrarily connected feedforward neural networks. Neurocomputing 75 (1) (2012)
Gabriel Ambrosio Archanjo, Fernando J. Von Zuben
Genetic Programming for Automating the Development of Data Management Algorithms in Information Technology Systems. Adv. Softw. Eng. 2012 (2012)
Levy Boccato, Diogo C. Soriano, Romis Attux, Fernando J. Von Zuben
Performance analysis of nonlinear echo state network readouts in signal processing tasks. IJCNN (2012)
Rosana Veroneze, André R. Gonçalves, Fernando J. Von Zuben
A Multiobjective Analysis of Adaptive Clustering Algorithms for the Definition of RBF Neural Network Centers in Regression Problems. IDEAL (2012)
Levy Boccato, Amauri Lopes, Romis Attux, Fernando J. Von Zuben
An extended echo state network using Volterra filtering and principal component analysis. Neural Networks 32 (2012)
Guilherme Palermo Coelho, Celso C. Barbante, Levy Boccato, Romis Ribeiro Faissol Attux, Jose R. Oliveira, Fernando J. Von Zuben
Automatic feature selection for BCI: An analysis using the davies-bouldin index and extreme learning machines. IJCNN (2012)
André R. Gonçalves, Rosana Veroneze, Salomão Sampaio Madeiro, Carlos R. B. Azevedo, Fernando J. Von Zuben
The Influence of Supervised Clustering for RBFNN Centers Definition: A Comparative Study. ICANN (2) (2012)
Rosana Veroneze, Fabrício Olivetti de França, Fernando J. Von Zuben
Assessing the performance of a swarm-based biclustering technique for data imputation. IEEE Congress on Evolutionary Computation (2011)
Pablo A. D. Castro, Heloisa A. Camargo, Fernando J. Von Zuben
Designing fuzzy rule bases with a Bayesian Artificial Immune System. HIS (2011)
Fabrício Olivetti de França, Fernando J. Von Zuben
Extracting additive and multiplicative coherent biclusters with swarm intelligence. IEEE Congress on Evolutionary Computation (2011)
Levy Boccato, Amauri Lopes, Romis Attux, Fernando J. Von Zuben
An echo state network architecture based on volterra filtering and PCA with application to the channel equalization problem. IJCNN (2011)
Pablo Alberto Dalbem de Castro, Fernando J. Von Zuben
Learning Ensembles of Neural Networks by Means of a Bayesian Artificial Immune System. IEEE Trans. Neural Networks 22 (2) (2011)
André R. Gonçalves, Fernando J. Von Zuben
Online learning in estimation of distribution algorithms for dynamic environments. IEEE Congress on Evolutionary Computation (2011)
Guilherme Palermo Coelho, Fernando J. Von Zuben
A Concentration-Based Artificial Immune Network for Multi-objective Optimization. EMO (2011)
Rodrigo Pasti, Fernando J. Von Zuben, Leandro Nunes de Castro
Ecosystems Computing: Introduction to Biogeographic Computation. Int. J. Nat. Comput. Res. 2 (4) (2011)
Pablo A. D. Castro, Fernando J. Von Zuben
Training multilayer perceptrons with a Gaussian Artificial Immune System. IEEE Congress on Evolutionary Computation (2011)
Rodrigo Pasti, Fernando J. Von Zuben, Renato Dourado Maia, Leandro Nunes de Castro
Heuristics to avoid redundant solutions on population-based multimodal continuous optimization. IEEE Congress on Evolutionary Computation (2011)
Salomão Sampaio Madeiro, Edson Galvao, Celso Cavellucci, Christiano Lyra, Fernando J. Von Zuben
Simultaneous capacitor placement and reconfiguration for loss reduction in distribution networks by a hybrid genetic algorithm. IEEE Congress on Evolutionary Computation (2011)
Rodrigo L. S. de Arruda, Fernando J. Von Zuben
A neural architecture to address Reinforcement Learning problems. IJCNN (2011)
Regina M. Azuma, Guilherme Palermo Coelho, Fernando J. Von Zuben
Evolutionary multi-objective optimization for the vendor-managed inventory routing problem. IEEE Congress on Evolutionary Computation (2011)
Gabriel Ambrosio Archanjo, Fernando J. Von Zuben
Induction of linear genetic programs for relational database manipulation. IRI (2011)
Guilherme Palermo Coelho, Fabrício Olivetti de França, Fernando J. Von Zuben
A Concentration-based Artificial Immune Network for combinatorial optimization. IEEE Congress on Evolutionary Computation (2011)
Ricardo P. V. Violato, Alisson G. Azzolini, Fernando J. Von Zuben
Antibodies with Adaptive Radius as Prototypes of High-Dimensional Datasets. ICARIS (2010)
Rodrigo Pasti, Leandro Nunes de Castro, Guilherme Palermo Coelho, Fernando J. Von Zuben
Neural network ensembles: immune-inspired approaches to the diversity of components. Nat. Comput. 9 (3) (2010)
Alisson G. Azzolini, Ricardo P. V. Violato, Fernando J. Von Zuben
Density Preservation and Vector Quantization in Immune-Inspired Algorithms. ICARIS (2010)
Pablo A. D. Castro, Fernando J. Von Zuben
A Gaussian Artificial Immune System for Multi-Objective optimization in continuous domains. HIS (2010)
Wilfredo Jaime Puma Villanueva, Fernando J. Von Zuben
Evolving Arbitrarily Connected Feedforward Neural Networks via Genetic Algorithms. SBRN (2010)
Guilherme Palermo Coelho, Fernando J. Von Zuben
A Concentration-based Artificial Immune Network for continuous optimization. IEEE Congress on Evolutionary Computation (2010)
Leandro Nunes de Castro, Jon Timmis, Helder Knidel, Fernando J. Von Zuben
Artificial Immune Systems: structure, function, diversity and an application to biclustering. Nat. Comput. 9 (3) (2010)
Pablo A. D. Castro, Fernando J. Von Zuben
Multi-objective feature selection using a Bayesian artificial immune system. Int. J. Intell. Comput. Cybern. 3 (2) (2010)
Fabrício Olivetti de França, Guilherme Palermo Coelho, Fernando J. Von Zuben
On the diversity mechanisms of opt-aiNet: A comparative study with fitness sharing. IEEE Congress on Evolutionary Computation (2010)
Guilherme Palermo Coelho, Ana Estela Antunes da Silva, Fernando J. Von Zuben
An immune-inspired multi-objective approach to the reconstruction of phylogenetic trees. Neural Comput. Appl. 19 (8) (2010)
Fabrício Olivetti de França, Fernando J. Von Zuben
Finding a high coverage set of 5-biclusters with swarm intelligence. IEEE Congress on Evolutionary Computation (2010)
Fabrício Olivetti de França, Guilherme Palermo Coelho, Pablo A. D. Castro, Fernando J. Von Zuben
Conceptual and Practical Aspects of the aiNet Family of Algorithms. Int. J. Nat. Comput. Res. 1 (1) (2010)
Pablo Alberto Dalbem de Castro, Fabrício Olivetti de França, Hamilton M. Ferreira, Guilherme Palermo Coelho, Fernando J. Von Zuben
Query expansion using an immune-inspired biclustering algorithm. Nat. Comput. 9 (3) (2010)
Pablo A. D. Castro, Fernando J. Von Zuben
GAIS: A Gaussian Artificial Immune System for Continuous Optimization. ICARIS (2010)
Luiz Augusto da Cruz Meleiro, Fernando J. Von Zuben, Rubens Maciel Filho
Constructive learning neural network applied to identification and control of a fuel-ethanol fermentation process. Eng. Appl. Artif. Intell. 22 (2) (2009)
Pablo A. D. Castro, Fernando J. Von Zuben
Multi-objective Bayesian Artificial Immune System: Empirical Evaluation and Comparative Analyses. J. Math. Model. Algorithms 8 (2) (2009)
Pablo A. D. Castro, Fernando J. Von Zuben
Learning Bayesian networks to perform feature selection. IJCNN (2009)
Patrícia A. Vargas, Renan Cipriano Moioli, Fernando J. Von Zuben, Phil Husbands
Homeostasis and evolution together dealing with novelties and managing disruptions. Int. J. Intell. Comput. Cybern. 2 (3) (2009)
Cristina Wada, Douglas M. Consolaro, Rafael Ferrari, Ricardo Suyama, Romis Ribeiro Faissol Attux, Fernando J. Von Zuben
Nonlinear Blind Source Deconvolution Using Recurrent Prediction-Error Filters and an Artificial Immune System. ICA (2009)
Guilherme Palermo Coelho, Fabrício Olivetti de França, Fernando J. Von Zuben
Improving a multi-objective multipopulation artificial immune network for biclustering. IEEE Congress on Evolutionary Computation (2009)
Pablo Alberto Dalbem de Castro, Fernando J. Von Zuben
BAIS: A Bayesian Artificial Immune System for the effective handling of building blocks. Inf. Sci. 179 (10) (2009)
Clodoaldo Ap. M. Lima, André L. V. Coelho, Fernando J. Von Zuben
Pattern classification with mixtures of weighted least-squares support vector machine experts. Neural Comput. Appl. 18 (7) (2009)
Guilherme Palermo Coelho, Fabrício Olivetti de França, Fernando J. Von Zuben
Multi-Objective Biclustering: When Non-dominated Solutions are not Enough. J. Math. Model. Algorithms 8 (2) (2009)
Fabrício Olivetti de França, Fernando J. Von Zuben
A dynamic artificial immune algorithm applied to challenging benchmarking problems. IEEE Congress on Evolutionary Computation (2009)
Alan Godoy, Fernando J. Von Zuben
A Complex Neighborhood based Particle Swarm Optimization. IEEE Congress on Evolutionary Computation (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Fernando J. Von Zuben