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ORCIDFernando J. Von Zuben
Fernando José Von Zuben
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- affiliation: University of Campinas, Sao Paulo, Brazil
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2020 – today
- 2024
[c153]Rafael C. Ito, Emely Pujólli da Silva, Fernando J. Von Zuben:
OFA3: Automatic Selection of the Best Non-dominated Sub-networks for Ensembles. IJCNN 2024: 1-9- 2023
- [c152]Rafael C. Ito, Fernando J. Von Zuben:
OFA2: A Multi-Objective Perspective for the Once-for-All Neural Architecture Search. IJCNN 2023: 1-9 - [i18]Rafael C. Ito, Fernando J. Von Zuben:
OFA2: A Multi-Objective Perspective for the Once-for-All Neural Architecture Search. CoRR abs/2303.13683 (2023) - [i17]Gabriel R. Lencione, Fernando J. Von Zuben:
Online Multi-Task Learning with Recursive Least Squares and Recursive Kernel Methods. CoRR abs/2308.01938 (2023) - 2022
- [j48]Amanda O. C. Ayres
, Fernando J. Von Zuben:
The Extreme Value Evolving Predictor. IEEE Trans. Fuzzy Syst. 30(3): 663-675 (2022) - [j47]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): 99:1-99:30 (2022) - [c151]Vítor O. Pochmann, Fernando J. Von Zuben:
Multi-Objective Bilevel Recommender System for Food Diets. CEC 2022: 1-8 - [c150]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: 1-8 - 2021
- [j46]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: 104147 (2021) - [j45]Amanda O. C. Ayres, Fernando J. Von Zuben:
Multitask learning applied to evolving fuzzy-rule-based predictors. Evol. Syst. 12(2): 407-422 (2021) - [j44]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: 307-320 (2021) - [c149]Daniel Kantor, Fernando J. Von Zuben, Fabrício Olivetti de França:
Simulated annealing for symbolic regression. GECCO 2021: 592-599 - [c148]Amanda O. C. Ayres, Fernando J. Von Zuben:
The Extreme Value Evolving Predictor in Multiple Time Series Learning. ICAISC (1) 2021: 285-295 - [c147]Gabriel R. Lencione, Fernando J. Von Zuben:
Wind Speed Forecasting via Multi-task Learning. IJCNN 2021: 1-8 - 2020
- [j43]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): 53-66 (2020) - [c146]Amanda O. C. Ayres, Fernando J. Von Zuben:
An Improved Version of the Fuzzy Set Based Evolving Modeling with Multitask Learning. FUZZ-IEEE 2020: 1-8 - [c145]Marcos M. Raimundo, Fernando J. Von Zuben:
Multi-criteria analysis involving Pareto-optimal misclassification tradeoffs on imbalanced datasets. IJCNN 2020: 1-8 - [i16]Rosana Veroneze, Fernando J. Von Zuben:
New advances in enumerative biclustering algorithms with online partitioning. CoRR abs/2003.04726 (2020)
2010 – 2019
- 2019
- [c144]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: 1157-1164 - [c143]Saullo H. G. Oliveira, André R. Gonçalves, Fernando J. Von Zuben:
Group LASSO with Asymmetric Structure Estimation for Multi-Task Learning. IJCAI 2019: 3202-3208 - 2018
- [c142]Joao Victor C. Fracasso, Fernando J. Von Zuben:
Multi-Objective Semantic Mutation for Genetic Programming. CEC 2018: 1-8 - [c141]Marcos M. Raimundo, Fernando J. Von Zuben:
Investigating multiobjective methods in multitask classification. IJCNN 2018: 1-9 - [i15]Rosana Veroneze, Fernando J. Von Zuben:
RIn-Close_CVC2: an even more efficient enumerative algorithm for biclustering of numerical datasets. CoRR abs/1810.07725 (2018) - 2017
- [j42]Rosana Veroneze, Arindam Banerjee, Fernando J. Von Zuben:
Enumerating all maximal biclusters in numerical datasets. Inf. Sci. 379: 288-309 (2017) - [j41]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): 1-13 (2017) - [c140]André R. Gonçalves, Arindam Banerjee, Fernando J. Von Zuben:
Spatial Projection of Multiple Climate Variables Using Hierarchical Multitask Learning. AAAI 2017: 4509-4515 - [c139]Marcos M. Raimundo, Fernando J. Von Zuben:
Many-Objective Ensemble-Based Multilabel Classification. CIARP 2017: 365-373 - [c138]Fernando S. Beserra, Marcos M. Raimundo, Fernando J. Von Zuben:
Ensembles of Multiobjective-Based Classifiers for Detection of Epileptic Seizures. CIARP 2017: 575-583 - [c137]David Burth Kurka, Alan Godoy, Fernando J. Von Zuben:
Using Retweet Information as a Feature to Classify Messages Contents. WWW (Companion Volume) 2017: 1485-1491 - [i14]André R. Gonçalves, Arindam Banerjee, Fernando J. Von Zuben:
Spatial Projection of Multiple Climate Variables using Hierarchical Multitask Learning. CoRR abs/1701.08840 (2017) - [i13]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 abs/1701.09046 (2017) - [i12]Rosana Veroneze, Fernando J. Von Zuben:
Efficient mining of maximal biclusters in mixed-attribute datasets. CoRR abs/1710.03289 (2017) - 2016
- [j40]André R. Gonçalves, Fernando J. Von Zuben, Arindam Banerjee:
Multi-task Sparse Structure Learning with Gaussian Copula Models. J. Mach. Learn. Res. 17: 33:1-33:30 (2016) - [j39]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): 778-791 (2016) - [c136]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: 21-27 - [i11]Conrado Silva Miranda, Fernando José Von Zuben:
Single-Solution Hypervolume Maximization and its use for Improving Generalization of Neural Networks. CoRR abs/1602.01164 (2016) - [i10]Felipe Eltermann, Alan Godoy, Fernando J. Von Zuben:
Effects of Social Ties in Knowledge Diffusion: case study on PLOS ONE. CoRR abs/1610.09164 (2016) - 2015
- [j38]André R. Gonçalves, Fernando J. Von Zuben, Arindam Banerjee:
A Multitask Learning View on the Earth System Model Ensemble. Comput. Sci. Eng. 17(6): 35-42 (2015) - [c135]André R. Gonçalves, Fernando J. Von Zuben, Arindam Banerjee:
Multi-Label Structure Learning with Ising Model Selection. IJCAI 2015: 3525-3531 - [c134]Saullo Haniell Galvão de Oliveira, Rosana Veroneze, Fernando J. Von Zuben:
On Bicluster Aggregation and its Benefits for Enumerative Solutions. MLDM 2015: 266-280 - [c133]Larissa Braz Sousa, Claudio J. Von Zuben, Fernando J. Von Zuben:
Regularized Linear and Nonlinear Autoregressive Models for Dengue Confirmed-Cases Prediction. UCNC 2015: 121-131 - [i9]Conrado Silva Miranda, Fernando J. Von Zuben:
Asymmetric Distributions from Constrained Mixtures. CoRR abs/1503.06429 (2015) - [i8]David Burth Kurka, Alan Godoy, Fernando J. Von Zuben:
Online Social Network Analysis: A Survey of Research Applications in Computer Science. CoRR abs/1504.05655 (2015) - [i7]Conrado Silva Miranda, Fernando José Von Zuben:
Necessary and Sufficient Conditions for Surrogate Functions of Pareto Frontiers and Their Synthesis Using Gaussian Processes. CoRR abs/1505.05063 (2015) - [i6]Saullo Haniell Galvão de Oliveira, Rosana Veroneze, Fernando José Von Zuben:
On bicluster aggregation and its benefits for enumerative solutions. CoRR abs/1506.01077 (2015) - [i5]Conrado Silva Miranda, Fernando José Von Zuben:
Multi-Objective Optimization for Self-Adjusting Weighted Gradient in Machine Learning Tasks. CoRR abs/1506.01113 (2015) - [i4]Conrado Silva Miranda, Fernando José Von Zuben:
Hybrid Algorithm for Multi-Objective Optimization by Greedy Hypervolume Maximization. CoRR abs/1506.05424 (2015) - [i3]Conrado Silva Miranda, Fernando José Von Zuben:
Reducing the Training Time of Neural Networks by Partitioning. CoRR abs/1511.02954 (2015) - 2014
- [j37]Levy Boccato, Romis Attux, Fernando J. Von Zuben:
Self-organization and lateral interaction in echo state network reservoirs. Neurocomputing 138: 297-309 (2014) - [j36]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: 153-163 (2014) - [c132]André R. Gonçalves, Puja Das, Soumyadeep Chatterjee, Vidyashankar Sivakumar, Fernando J. Von Zuben, Arindam Banerjee:
Multi-task Sparse Structure Learning. CIKM 2014: 451-460 - [i2]Rosana Veroneze, Arindam Banerjee, Fernando J. Von Zuben:
Enumerating all maximal biclusters in real-valued datasets. CoRR abs/1403.3562 (2014) - [i1]André R. Gonçalves, Puja Das, Soumyadeep Chatterjee, Vidyashankar Sivakumar, Fernando J. Von Zuben, Arindam Banerjee:
Multi-task Sparse Structure Learning. CoRR abs/1409.0272 (2014) - 2013
- [j35]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): 43-55 (2013) - [j34]Fabrício Olivetti de França, Guilherme Palermo Coelho, Fernando J. Von Zuben:
Predicting missing values with biclustering: A coherence-based approach. Pattern Recognit. 46(5): 1255-1266 (2013) - [c131]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: 157-164 - [c130]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: 1556-1563 - [c129]Carlos R. B. Azevedo, Fernando J. Von Zuben:
Regularized hypervolume selection for robust portfolio optimization in dynamic environments. IEEE Congress on Evolutionary Computation 2013: 2146-2153 - [c128]Alan Godoy, Fernando J. Von Zuben:
Topology of social networks and efficiency of collective intelligence methods. GECCO (Companion) 2013: 1415-1422 - 2012
- [j33]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: 893701:1-893701:14 (2012) - [j32]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): 14-32 (2012) - [j31]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: 292-302 (2012) - [c127]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: 148-155 - [c126]Salomão Sampaio Madeiro, Fernando J. Von Zuben:
Gradient-Based Algorithms for the Automatic Construction of Fuzzy Cognitive Maps. ICMLA (1) 2012: 344-349 - [c125]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: 127-134 - [c124]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: 1-8 - [c123]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: 1-8 - 2011
- [j30]Rodrigo Pasti, Fernando J. Von Zuben, Leandro Nunes de Castro:
Ecosystems Computing: Introduction to Biogeographic Computation. Int. J. Nat. Comput. Res. 2(4): 47-67 (2011) - [j29]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): 304-316 (2011) - [c122]André R. Gonçalves, Fernando J. Von Zuben:
Online learning in estimation of distribution algorithms for dynamic environments. IEEE Congress on Evolutionary Computation 2011: 62-69 - [c121]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: 386-393 - [c120]Fabrício Olivetti de França, Fernando J. Von Zuben:
Extracting additive and multiplicative coherent biclusters with swarm intelligence. IEEE Congress on Evolutionary Computation 2011: 632-638 - [c119]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: 1242-1249 - [c118]Pablo A. D. Castro, Fernando J. Von Zuben:
Training multilayer perceptrons with a Gaussian Artificial Immune System. IEEE Congress on Evolutionary Computation 2011: 1250-1257 - [c117]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: 1457-1464 - [c116]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: 2178-2185 - [c115]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: 2321-2328 - [c114]Guilherme Palermo Coelho, Fernando J. Von Zuben:
A Concentration-Based Artificial Immune Network for Multi-objective Optimization. EMO 2011: 343-357 - [c113]Pablo A. D. Castro, Heloisa A. Camargo, Fernando J. Von Zuben:
Designing fuzzy rule bases with a Bayesian Artificial Immune System. HIS 2011: 584-589 - [c112]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: 580-587 - [c111]Rodrigo L. S. de Arruda, Fernando J. Von Zuben:
A neural architecture to address Reinforcement Learning problems. IJCNN 2011: 2930-2935 - [c110]Gabriel Ambrosio Archanjo, Fernando J. Von Zuben:
Induction of linear genetic programs for relational database manipulation. IRI 2011: 347-352 - 2010
- [j28]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): 235-256 (2010) - [j27]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): 1-35 (2010) - [j26]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): 575-577 (2010) - [j25]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): 579-602 (2010) - [j24]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): 625-653 (2010) - [j23]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): 1103-1132 (2010) - [c109]Guilherme Palermo Coelho, Fernando J. Von Zuben:
A Concentration-based Artificial Immune Network for continuous optimization. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c108]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: 1-8 - [c107]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: 1-8 - [c106]Pablo A. D. Castro, Fernando J. Von Zuben:
A Gaussian Artificial Immune System for Multi-Objective optimization in continuous domains. HIS 2010: 159-164 - [c105]Alisson G. Azzolini, Ricardo P. V. Violato, Fernando J. Von Zuben:
Density Preservation and Vector Quantization in Immune-Inspired Algorithms. ICARIS 2010: 33-46 - [c104]Ricardo P. V. Violato, Alisson G. Azzolini, Fernando J. Von Zuben:
Antibodies with Adaptive Radius as Prototypes of High-Dimensional Datasets. ICARIS 2010: 158-170 - [c103]Pablo A. D. Castro, Fernando J. Von Zuben:
GAIS: A Gaussian Artificial Immune System for Continuous Optimization. ICARIS 2010: 171-184 - [c102]Wilfredo Jaime Puma Villanueva, Fernando J. Von Zuben:
Evolving Arbitrarily Connected Feedforward Neural Networks via Genetic Algorithms. SBRN 2010: 127-132
2000 – 2009
- 2009
- [j22]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): 201-215 (2009) - [j21]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): 435-454 (2009) - [j20]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): 1426-1440 (2009) - [j19]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): 151-173 (2009) - [j18]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): 175-202 (2009) - [j17]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): 843-860 (2009) - [c101]Fabrício Olivetti de França, Fernando J. Von Zuben:
A dynamic artificial immune algorithm applied to challenging benchmarking problems. IEEE Congress on Evolutionary Computation 2009: 423-430 - [c100]Alan Godoy, Fernando J. Von Zuben:
A Complex Neighborhood based Particle Swarm Optimization. IEEE Congress on Evolutionary Computation 2009: 720-727 - [c99]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: 2748-2755 - [c98]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: 371-378 - [c97]Pablo A. D. Castro, Fernando J. Von Zuben:
Learning Bayesian networks to perform feature selection. IJCNN 2009: 467-473 - [p1]Ana L. T. Romano, Wilfredo Jaime Puma Villanueva, Marcelo Serrano Zanetti, Fernando J. Von Zuben:
Synthesis of Spatio-temporal Models by the Evolution of Non-uniform Cellular Automata. Foundations of Computational Intelligence (4) 2009: 85-104 - 2008
- [c96]Fabrício Olivetti de França, Guilherme Palermo Coelho, Fernando J. Von Zuben:
bicACO: An Ant Colony Inspired Biclustering Algorithm. ANTS Conference 2008: 401-402 - [c95]Renan Cipriano Moioli, Patrícia Amâncio Vargas, Fernando J. Von Zuben, Phil Husbands:
Towards the evolution of an artificial homeostatic system. IEEE Congress on Evolutionary Computation 2008: 4023-4030 - [c94]Fabrício Olivetti de França, Guilherme Palermo Coelho, Fernando J. Von Zuben, Romis Ribeiro Faissol Attux:
Multivariate ant colony optimization in continuous search spaces. GECCO 2008: 9-16 - [c93]Pablo A. D. Castro, Fernando J. Von Zuben:
Feature Subset Selection by Means of a Bayesian Artificial Immune System. HIS 2008: 561-566 - [c92]Pablo A. D. Castro, Fernando J. Von Zuben:
MOBAIS: A Bayesian Artificial Immune System for Multi-Objective Optimization. ICARIS 2008: 48-59 - [c91]Guilherme Palermo Coelho, Fabrício Olivetti de França, Fernando J. Von Zuben:
A Multi-Objective Multipopulation Approach for Biclustering. ICARIS 2008: 71-82 - [c90]Renan Cipriano Moioli, Patrícia Amâncio Vargas, Fernando J. Von Zuben, Phil Husbands:
Evolving an Artificial Homeostatic System. SBIA 2008: 278-288 - 2007
- [j16]Ricardo Suyama, Leonardo Tomazeli Duarte, Rafael Ferrari, Leandro Elias Paiva Rangel, Romis Ribeiro Faissol Attux, Charles Casimiro Cavalcante, Fernando J. Von Zuben, João Marcos Travassos Romano:
A Nonlinear Prediction Approach to the Blind Separation of Convolutive Mixtures. EURASIP J. Adv. Signal Process. 2007 (2007) - [j15]Clodoaldo Ap. M. Lima, André L. V. Coelho, Fernando J. Von Zuben:
Hybridizing mixtures of experts with support vector machines: Investigation into nonlinear dynamic systems identification. Inf. Sci. 177(10): 2049-2074 (2007) - [c89]Renato Reder Cazangi, Craig Feied, Michael Gillam, Jonathan A. Handler, Mark S. Smith, Fernando J. Von Zuben:
An evolutionary approach for autonomous robotic tracking of dynamic targets in healthcare environments. IEEE Congress on Evolutionary Computation 2007: 3654-3661 - [c88]Marcelo F. Caetano, Jônatas Manzolli, Fernando J. Von Zuben:
Self-organizing Bio-inspired Sound Transformation. EvoWorkshops 2007: 477-487 - [c87]Pablo Alberto Dalbem de Castro, Fabrício Olivetti de França, Hamilton M. Ferreira, Fernando J. Von Zuben:
Evaluating the Performance of a Biclustering Algorithm Applied to Collaborative Filtering - A Comparative Analysis. HIS 2007: 65-70 - [c86]Pablo Alberto Dalbem de Castro, Fabrício Olivetti de França, Hamilton M. Ferreira, Fernando J. Von Zuben:
Applying Biclustering to Text Mining: An Immune-Inspired Approach. ICARIS 2007: 83-94 - [c85]Leonardo M. Holschuh, Clodoaldo Ap. M. Lima, Fernando J. Von Zuben:
A Wrapper for Projection Pursuit Learning. IJCNN 2007: 2892-2897 - [c84]Wilfredo Jaime Puma Villanueva, Euripedes P. dos Santos, Fernando J. Von Zuben:
Long-term time series prediction using wrappers for variable selection and clustering for data partition. IJCNN 2007: 3068-3073 - [c83]Clodoaldo Ap. M. Lima, André L. V. Coelho, Fernando J. Von Zuben:
Analysis of Sensitivity to the Kernel Parameter Choice: Comparing the Performance Profiles Exhibited by Standard andLeast-Squares SVM Classifiers. ISDA 2007: 127-132 - [c82]Pablo A. D. de Castro, Fabrício Olivetti de França, Hamilton M. Ferreira, Fernando J. Von Zuben:
Applying Biclustering to Perform Collaborative Filtering. ISDA 2007: 421-426 - [c81]Guilherme Palermo Coelho, Fernando J. Von Zuben, Ana Estela Antunes da Silva:
A Multiobjective Approach to Phylogenetic Trees: Selecting the Most Promising Solutions from the Pareto Front. ISDA 2007: 837-842 - [c80]Renan Cipriano Moioli, Patrícia Amâncio Vargas, Fernando J. Von Zuben:
Analysing Learning Classifier Systems in Reactive and Non-reactive Robotic Tasks. IWLCS 2007: 286-305 - [c79]Guilherme Palermo Coelho, Ana Estela Antunes da Silva, Fernando J. Von Zuben:
Evolving Phylogenetic Trees: A Multiobjective Approach. BSB 2007: 113-125 - [e1]Leandro Nunes de Castro, Fernando J. Von Zuben, Helder Knidel:
Artificial Immune Systems, 6th International Conference, ICARIS 2007, Santos, Brazil, August 26-29, 2007, Proceedings. Lecture Notes in Computer Science 4628, Springer 2007, ISBN 978-3-540-73921-0 [contents] - 2006
- [c78]Renato Reder Cazangi, Fernando J. Von Zuben, Maurício F. Figueiredo:
Evolutionary Stigmergy in Multipurpose Navigation Systems. IEEE Congress on Evolutionary Computation 2006: 370-377 - [c77]Fabrício Olivetti de França, George Barreto Bezerra, Fernando J. Von Zuben:
New Perspectives for the Biclustering Problem. IEEE Congress on Evolutionary Computation 2006: 753-760 - [c76]Renato Reder Cazangi, Fernando J. Von Zuben:
Immune Learning Classifier Networks: Evolving Nodes and Connections. IEEE Congress on Evolutionary Computation 2006: 2230-2237 - [c75]Fabrício Olivetti de França, Lalinka de C. T. Gomes, Leandro Nunes de Castro, Fernando J. Von Zuben:
Handling Time-Varying TSP Instances. IEEE Congress on Evolutionary Computation 2006: 2830-2837 - [c74]Cynthia Junqueira, Fabrício Olivetti de França, Romis Ribeiro Faissol Attux, Cristiano M. Panazio, Leandro Nunes de Castro, Fernando J. Von Zuben, João Marcos Travassos Romano:
Immune-inspired Dynamic Optimization for Blind Spatial Equalization in Undermodeled Channels. IEEE Congress on Evolutionary Computation 2006: 2896-2903 - [c73]Leonardo Tomazeli Duarte, Ricardo Suyama, Romis Ribeiro Faissol Attux, Fernando J. Von Zuben, João Marcos Travassos Romano:
Blind Source Separation of Post-nonlinear Mixtures Using Evolutionary Computation and Order Statistics. ICA 2006: 66-73 - [c72]Guilherme Palermo Coelho, Fernando J. Von Zuben:
omni-aiNet: An Immune-Inspired Approach for Omni Optimization. ICARIS 2006: 294-308 - [c71]George Barreto Bezerra, Tiago V. Barra, Hamilton M. Ferreira, Helder Knidel, Leandro Nunes de Castro, Fernando J. Von Zuben:
An Immunological Filter for Spam. ICARIS 2006: 446-458 - [c70]Tiago V. Barra, George Barreto Bezerra, Leandro Nunes de Castro, Fernando J. Von Zuben:
An Immunological Density-Preserving Approach to the Synthesis of RBF Neural Networks for classification. IJCNN 2006: 929-935 - [c69]Clodoaldo Ap. M. Lima, Rafael Ferrari, Helder Knidel, Cynthia Junqueira, Romis Ribeiro Faissol Attux, João Marcos Travassos Romano, Fernando J. Von Zuben:
Support Vector Clustering Applied to Digital Communications. IJCNN 2006: 1642-1648 - [c68]Helder Knidel, Fernando J. Von Zuben, Leandro Nunes de Castro:
A Supervised Constructive Neuro-Immune Network for Pattern Classification. IJCNN 2006: 2083-2089 - [c67]Ricardo Menezes Salgado, Joaquim J. F. Pereira, Takaaki Ohishi, Rosangela Ballini, Clodoaldo Ap. M. Lima, Fernando J. Von Zuben:
A Hybrid Ensemble Model Applied to the Short-Term Load Forecasting Problem. IJCNN 2006: 2627-2634 - [c66]Wilfredo Jaime Puma Villanueva, Euripedes P. dos Santos, Fernando J. Von Zuben:
Data partition and variable selection for time series prediction using wrappers. IJCNN 2006: 4740-4747 - [c65]Pablo A. D. Castro, Fernando J. Von Zuben:
Bayesian Learning of Neural Networks by Means of Artificial Immune Systems. IJCNN 2006: 4831-4838 - [c64]Guilherme Palermo Coelho, Fernando J. Von Zuben:
The Influence of the Pool of Candidates on the Performance of Selection and Combination Techniques in Ensembles. IJCNN 2006: 5132-5139 - [c63]Artemis Moroni, Rafael Maiolla, Jônatas Manzolli, Fernando J. Von Zuben:
ArTVox: Evolutionary Composition in Visual and Sound Domains. Smart Graphics 2006: 218-223 - [c62]Artemis Moroni, Jônatas Manzolli, Fernando J. Von Zuben:
ArTbitrating JaVox: Evolution Applied to Visual and Sound Composition. SIACG 2006: 97-108 - 2005
- [j14]Fabrício Olivetti de França, Fernando J. Von Zuben, Leandro Nunes de Castro:
Max Min Ant System and Capacitated p-Medians: Extensions and Improved Solutions. Informatica (Slovenia) 29(2): 163-172 (2005) - [c61]George Barreto Bezerra, Tiago V. Barra, Fernando J. Von Zuben, Leandro Nunes de Castro:
Handling Data Sparseness in Gene Network Reconstruction. CIBCB 2005: 68-75 - [c60]Patrícia Amâncio Vargas, Renan Cipriano Moioli, Leandro Nunes de Castro, Jon Timmis, Mark James Neal, Fernando J. Von Zuben:
Artificial Homeostatic System: A Novel Approach. ECAL 2005: 754-764 - [c59]Marcelo F. Caetano, Jônatas Manzolli, Fernando J. Von Zuben:
Interactive Control of Evolution Applied to Sound Synthesis. FLAIRS 2005: 51-56 - [c58]Renato Reder Cazangi, Fernando J. Von Zuben, Maurício F. Figueiredo:
Autonomous navigation system applied to collective robotics with ant-inspired communication. GECCO 2005: 121-128 - [c57]Fabrício Olivetti de França, Fernando J. Von Zuben, Leandro Nunes de Castro:
An artificial immune network for multimodal function optimization on dynamic environments. GECCO 2005: 289-296 - [c56]Helder Knidel, Leandro Nunes de Castro, Fernando J. Von Zuben:
RABNET: a real-valued antibody network for data clustering. GECCO 2005: 371-372 - [c55]Pablo Alberto Dalbem de Castro, Fernando J. Von Zuben:
An Immune-Inspired Approach to Bayesian Networks. HIS 2005: 23-28 - [c54]George Barreto Bezerra, Tiago V. Barra, Leandro Nunes de Castro, Fernando J. Von Zuben:
Adaptive Radius Immune Algorithm for Data Clustering. ICARIS 2005: 290-303 - [c53]Marcelo F. Caetano, Jônatas Manzolli, Fernando J. Von Zuben:
Application of an Artificial Immune System in a Compositional Timbre Design Technique. ICARIS 2005: 389-403 - [c52]José Carlos L. Pinto, Fernando J. Von Zuben:
Fault Detection Algorithm for Telephone Systems Based on the Danger Theory. ICARIS 2005: 418-431 - [c51]Pablo Alberto Dalbem de Castro, Guilherme Palermo Coelho, Marcelo F. Caetano, Fernando J. Von Zuben:
Designing Ensembles of Fuzzy Classification Systems: An Immune-Inspired Approach. ICARIS 2005: 469-482 - [c50]Helder Knidel, Leandro Nunes de Castro, Fernando J. Von Zuben:
Data Clustering with a Neuro-immune Network. ICNC (1) 2005: 1279-1288 - [c49]Wilfredo Jaime Puma Villanueva, Clodoaldo Ap. M. Lima, Euripedes P. dos Santos, Fernando J. Von Zuben:
Mixture of heterogeneous experts applied to time series: a comparative study. IJCNN 2005: 1160-1165 - [c48]Clodoaldo A. M. Lima, Cynthia Junqueira, Ricardo Suyama, Fernando J. Von Zuben, João Marcos Travassos Romano:
Least-squares support vector machines for DOA estimation: a step-by-step description and sensitivity analysis. IJCNN 2005: 3226-3231 - 2004
- [j13]Lalinka de Campos Teixeira Gomes, Fernando J. Von Zuben, Pablo Moscato:
A proposal for direct-ordering gene expression data by self-organising maps. Appl. Soft Comput. 5(1): 11-21 (2004) - [j12]Myriam Regattieri Delgado, Fernando J. Von Zuben, Fernando A. C. Gomide:
Coevolutionary genetic fuzzy systems: a hierarchical collaborative approach. Fuzzy Sets Syst. 141(1): 89-106 (2004) - [j11]Janaína S. de Sousa, Lalinka de C. T. Gomes, George Barreto Bezerra, Leandro Nunes de Castro, Fernando J. Von Zuben:
An Immune-Evolutionary Algorithm for Multiple Rearrangements of Gene Expression Data. Genet. Program. Evolvable Mach. 5(2): 157-179 (2004) - [c47]George Barreto Bezerra, Leandro Nunes de Castro, Fernando J. Von Zuben:
A Hierarchical Immune Network Applied to Gene Expression Data. ICARIS 2004: 14-27 - [c46]Fabrício Olivetti de França, Fernando J. Von Zuben, Leandro Nunes de Castro:
Definition of Capacited p-Medians by a Modified Max Min Ant System with Local Search. ICONIP 2004: 1094-1100 - [c45]George Barreto Bezerra, Geraldo M. A. Cançado, Marcelo Menossi, Leandro Nunes de Castro, Fernando J. Von Zuben:
Recent Advances in Gene Expression Data Clustering: A Case Study with Comparative Results. WOB 2004: 9-16 - [c44]Ana Estela Antunes da Silva, Wilfredo Jaime Puma Villanueva, Helder Knidel, Vinícius Bonato, Sérgio Furtado dos Reis, Fernando J. Von Zuben:
A Multi-Neighbor-Joining Approach for Phylogenetic Tree Reconstruction and Visualization. WOB 2004: 73-80 - 2003
- [j10]Romis Ribeiro Faissol Attux, Murilo Bellezoni Loiola, Ricardo Suyama, Leandro Nunes de Castro, Fernando J. Von Zuben, João Marcos Travassos Romano:
Blind Search for Optimal Wiener Equalizers Using an Artificial Immune Network Model. EURASIP J. Adv. Signal Process. 2003(8): 740-747 (2003) - [j9]Leandro Nunes de Castro, Fernando J. Von Zuben, Getúlio A. de Deus Jr.:
The construction of a Boolean competitive neural network using ideas from immunology. Neurocomputing 50: 51-85 (2003) - [c43]Patrícia Amâncio Vargas, Leandro Nunes de Castro, Roberto Michelan, Fernando J. Von Zuben:
Implementation of an immuno-genetic network on a real Khepera II robot. IEEE Congress on Evolutionary Computation 2003: 420-426 - [c42]Renato Reder Cazangi, Fernando J. Von Zuben, Maurício F. Figueiredo:
A classifier system in real applications for robot navigation. IEEE Congress on Evolutionary Computation 2003: 574-580 - [c41]André L. V. Coelho, Clodoaldo Ap. M. Lima, Fernando J. Von Zuben:
GA-based selection of components for heterogeneous ensembles of support vector machines. IEEE Congress on Evolutionary Computation 2003: 2238-2245 - [c40]Patrícia Amâncio Vargas, Leandro Nunes de Castro, Roberto Michelan, Fernando J. Von Zuben:
An Immune Learning Classifier Network for Autonomous Navigation. ICARIS 2003: 69-80 - [c39]Clodoaldo Ap. M. Lima, André Luís Vasconcelos Coelho, Fernando J. Von Zuben:
A Multiagent-Based Constructive Approach for Feedforward Neural Networks. IDA 2003: 462-473 - [c38]Luiz Augusto da Cruz Meleiro, Rubens Maciel Filho, Fernando J. Von Zuben:
Constructive neural network in model-based control of a biotechnological process. IJCNN 2003: 2406-2411 - [c37]Robinson Semolini, Fernando J. Von Zuben:
Transductive support vector machines for classification of microarray gene expression data. IJCNN 2003: 2946-2951 - [c36]Romis Ribeiro Faissol Attux, Leandro Nunes de Castro, Fernando José Von Zuben, João Marcos Travassos Romano:
A paradigm for blind IIR equalization using the constant modulus criterion and an artificial immune network. NNSP 2003: 839-848 - [c35]Rafael Ferrari, Cristiano M. Panazio, Romis Ribeiro Faissol Attux, Charles Casimiro Cavalcante, Leandro Nunes de Castro, Fernando José Von Zuben, João M. T. Romano:
Unsupervised channel equalization using fuzzy prediction-error filters. NNSP 2003: 869-878 - [c34]André L. V. Coelho, Clodoaldo Ap. M. Lima, Fernando J. Von Zuben:
Hybrid genetic training of gated mixtures of experts for nonlinear time series forecasting. SMC 2003: 4625-4630 - [c33]Lalinka de C. T. Gomes, Janaína S. de Sousa, George Barreto Bezerra, Leandro Nunes de Castro, Fernando J. Von Zuben:
Copt-aiNet and the Gene Ordering Problem. WOB 2003: 28-37 - 2002
- [j8]Eduardo Masato Iyoda, Fernando J. Von Zuben:
Hybrid neural networks: An evolutionary approach with local search. Integr. Comput. Aided Eng. 9(1): 57-72 (2002) - [j7]Eduardo Masato Iyoda, Kaoru Hirota, Fernando J. Von Zuben:
Sigma-Pi Cascade Extended Hybrid Neural Network. J. Adv. Comput. Intell. Intell. Informatics 6(3): 126-134 (2002) - [j6]Lalinka de C. T. Gomes, Fernando J. Von Zuben:
Multiple criteria optimization based on unsupervised learning and fuzzy inference applied to the vehicle routing problem. J. Intell. Fuzzy Syst. 13(2-4): 143-154 (2002) - [j5]Leandro Nunes de Castro, Fernando J. Von Zuben:
Learning and optimization using the clonal selection principle. IEEE Trans. Evol. Comput. 6(3): 239-251 (2002) - [c32]Artemis Moroni, Fernando J. Von Zuben, Jônatas Manzolli, A. Mammana:
Capturing human judgment to simulate objective function. IEEE Congress on Evolutionary Computation 2002: 529-534 - [c31]Alysson M. Costa, Patrícia A. Vargas, Fernando J. Von Zuben, Paulo Morelato França:
Makespan minimization on parallel processors: an immune-based approach. IEEE Congress on Evolutionary Computation 2002: 920-925 - [c30]Roberto Michelan, Fernando J. Von Zuben:
Decentralized control system for autonomous navigation based on an evolved artificial immune network. IEEE Congress on Evolutionary Computation 2002: 1021-1026 - [c29]Myriam Regattieri Delgado, Fernando J. Von Zuben, Fernando A. C. Gomide:
Coevolutionary design of Takagi-Sugeno fuzzy systems. IEEE Congress on Evolutionary Computation 2002: 1384-1389 - [c28]Jayme G. A. Barbedo, Moisés Vidal Ribeiro, Fernando José Von Zuben, Amauri Lopes, João Marcos Travassos Romano:
Application of Kohonen self-organizing maps to improve the performance of objective methods for speech quality assessment. EUSIPCO 2002: 1-4 - [c27]Clodoaldo Ap. M. Lima, André L. V. Coelho, Fernando J. Von Zuben:
Fuzzy systems design via ensembles of ANFIS. FUZZ-IEEE 2002: 506-511 - [c26]Myriam Regattieri Delgado, Fernando J. Von Zuben, Fernando A. C. Gomide:
Multi-objective decision making: towards improvement of accuracy, interpretability and design autonomy in hierarchical genetic fuzzy systems. FUZZ-IEEE 2002: 1222-1227 - [c25]Lalinka de C. T. Gomes, Fernando J. Von Zuben:
Vehicle routing based on self-organization with and without fuzzy inference. FUZZ-IEEE 2002: 1310-1315 - [c24]Oclair Prado, Fernando J. Von Zuben:
A Step-by-Step Description of a Multi-Purpose Evolutionary Algorithm for Phylogenetic Tree Reconstruction. GECCO Late Breaking Papers 2002: 377-383 - [c23]Oclair Prado, Fernando J. Von Zuben:
An Integrated System For Phylogenetic Inference Using Evolutionary Algorithms. GECCO 2002: 693 - [c22]Patrícia Amâncio Vargas, Leandro Nunes de Castro, Fernando J. Von Zuben:
Mapping Artificial Immune Systems into Learning Classifier Systems. IWLCS 2002: 163-186 - [c21]Luiz Augusto da Cruz Meleiro, Ricardo J. G. B. Campello, Rubens Maciel Filho, Fernando J. Von Zuben:
Identification of a Multivariate Fermentation Process using Constructive Learning. SBRN 2002: 19-24 - [c20]Lalinka de C. T. Gomes, Fernando J. Von Zuben:
A Heuristic Method Based on Unsupervised Learning and Fuzzy Inference for the Vehicle Routing Problem. SBRN 2002: 130-135 - [c19]Clodoaldo Ap. M. Lima, André Luís Vasconcelos Coelho, Fernando J. Von Zuben:
Mixture of Experts Applied to Nonlinear Dynamic Systems Identification: A Comparative Study. SBRN 2002: 162-167 - [c18]Oclair Prado, Fernando J. Von Zuben, Sérgio Furtado dos Reis:
Evolving Phylogenetic Trees: an Alternative to Black-Box Approaches. WOB 2002: 56-63 - [c17]Lalinka de C. T. Gomes, Fernando J. Von Zuben, Pablo Moscato:
Ordering Gene Expression Data Using One-dimensional Self-Organizing Maps. WOB 2002: 91-93 - [c16]Robinson Semoline, Fernando J. Von Zuben:
Transductive Support Vector Machines for Cancer Diagnosis and Classification of Microarray Gene Expression Data. WOB 2002: 102-104 - 2001
- [j4]Leandro Nunes de Castro, Fernando J. Von Zuben:
Immune and Neural Network Models: Theoretical and Empirical Comparisons. Int. J. Comput. Intell. Appl. 1(3): 239-257 (2001) - [j3]Leandro Nunes de Castro, Fernando J. Von Zuben:
Automatic Determination Of Radial Basis Functions: An Immunity-Based Approach. Int. J. Neural Syst. 11(6): 523-535 (2001) - [j2]Myriam Regattieri Delgado, Fernando J. Von Zuben, Fernando A. C. Gomide:
Hierarchical genetic fuzzy systems. Inf. Sci. 136(1-4): 29-52 (2001) - [c15]Patrícia Amâncio Vargas, Christiano Lyra Filho, Fernando J. Von Zuben:
On-Line Approach for Loss Reduction in Electric Power Distribution Networks Using Learning Classifier Systems. IWLCS 2001: 181-196 - 2000
- [j1]Rosangela Ballini, Fernando J. Von Zuben:
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. 36(12): 1931-1933 (2000) - [c14]Myriam Regattieri Delgado, Fernando J. Von Zuben, Fernando A. C. Gomide:
Evolutionary design of Takagi-Sugeno fuzzy systems: a modular and hierarchical approach. FUZZ-IEEE 2000: 447-452 - [c13]Leandro Nunes de Castro, Fernando J. Von Zuben:
An Evolutionary Immune Network for Data Clustering. SBRN 2000: 84-89
1990 – 1999
- 1999
- [c12]Artemis Moroni, Jônatas Manzolli, Fernando J. Von Zuben, Ricardo R. Gudwin:
Evolutionary computation applied to algorithmic composition. CEC 1999: 807-811 - [c11]Eduardo Masato Iyoda, Leandro Nunes de Castro, Fernando A. C. Gomide, Fernando J. Von Zuben:
Evolutionary design of neurofuzzy networks for pattern classification. CEC 1999: 1237-1244 - [c10]Myriam Regattieri Delgado, Fernando J. Von Zuben, Fernando A. C. Gomide:
Modular and Hierarchial Evolutionary Design of Fuzzy Systems. GECCO 1999: 180-187 - [c9]Euripedes P. dos Santos, Fernando J. Von Zuben:
Improved second-order training algorithms for globally and partially recurrent neural networks. IJCNN 1999: 1501-1506 - [c8]Leandro Nunes de Castro, Fernando J. Von Zuben:
An improving pruning technique with restart for the Kohonen self-organizing feature map. IJCNN 1999: 1916-1919 - [c7]Eduardo Masato Iyoda, Fernando J. Von Zuben:
Evolutionary hybrid composition of activation functions in feedforward neural networks. IJCNN 1999: 4048-4053 - [c6]Leandro Nunes de Castro, Luis Alberto Ramirez, Fernando A. C. Gomide, Fernando J. Von Zuben:
Hybrid tuning of activation functions in feedforward neural networks. IJCNN 1999: 4263-4268 - 1998
- [c5]Leandro Nunes de Castro, Eduardo Masato Iyoda, Fernando J. Von Zuben, Ricardo R. Gudwin:
Feedforward Neural Network Initialization: an Evolutionary Approach. SBRN 1998: 43-48 - 1997
- [c4]Fernando J. Von Zuben, Márcio Luiz De Andrade Netto:
Projection pursuit and the solvability condition applied to constructive learning. ICNN 1997: 1062-1067 - 1996
- [b1]Fernando José Von Zuben:
Modelos parametricos e não-parametricos de redes neurais artificiais e aplicações. University of Campinas, Brazil, 1996 - 1995
- [c3]Fernando J. Von Zuben, Márcio Luiz De Andrade Netto:
Unit-growing learning optimizing the solvability condition for model-free regression. ICNN 1995: 795-800 - [c2]Fernando J. Von Zuben, Márcio Luiz De Andrade Netto:
Second-order training for recurrent neural networks without teacher-forcing. ICNN 1995: 801-806 - 1993
- [c1]Myriam Regattieri Delgado, Fernando José Von Zuben, A. F. Rocha:
Neurofuzzy interpolation. II. Reducing complexity of description. ICNN 1993: 1835-1840
Coauthor Index
Romis Ribeiro Faissol Attux
aka: Romis Attux
aka: Romis Attux
André L. V. Coelho
aka: André Luís Vasconcelos Coelho
aka: André Luís Vasconcelos Coelho
Lalinka de C. T. Gomes
aka: Lalinka de Campos Teixeira Gomes
aka: Lalinka de Campos Teixeira Gomes
João Marcos Travassos Romano
aka: João M. T. Romano
aka: João M. T. Romano
Patrícia Amâncio Vargas
aka: Patrícia A. Vargas
aka: Patrícia A. Vargas
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