2009 |
73 | EE | Cristina Wada,
Douglas M. Consolaro,
Rafael Ferrari,
Ricardo Suyama,
Romis de Faissol Attux,
Fernando J. Von Zuben:
Nonlinear Blind Source Deconvolution Using Recurrent Prediction-Error Filters and an Artificial Immune System.
ICA 2009: 371-378 |
2008 |
72 | EE | Fabrício Olivetti de França,
Guilherme Palermo Coelho,
Fernando J. Von Zuben:
bicACO: An Ant Colony Inspired Biclustering Algorithm.
ANTS Conference 2008: 401-402 |
71 | EE | Fabrício Olivetti de França,
Guilherme Palermo Coelho,
Fernando J. Von Zuben,
Romis de Faissol Attux:
Multivariate ant colony optimization in continuous search spaces.
GECCO 2008: 9-16 |
70 | EE | Pablo A. D. Castro,
Fernando J. Von Zuben:
MOBAIS: A Bayesian Artificial Immune System for Multi-Objective Optimization.
ICARIS 2008: 48-59 |
69 | EE | Guilherme Palermo Coelho,
Fabrício Olivetti de França,
Fernando J. Von Zuben:
A Multi-Objective Multipopulation Approach for Biclustering.
ICARIS 2008: 71-82 |
68 | EE | Renan C. 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 |
67 | EE | Renan C. Moioli,
Patrícia Amâncio Vargas,
Fernando J. Von Zuben,
Phil Husbands:
Evolving an Artificial Homeostatic System.
SBIA 2008: 278-288 |
2007 |
66 | | 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
Springer 2007 |
65 | EE | Guilherme Palermo Coelho,
Ana Estela Antunes da Silva,
Fernando J. Von Zuben:
Evolving Phylogenetic Trees: A Multiobjective Approach.
BSB 2007: 113-125 |
64 | EE | Marcelo F. Caetano,
Jônatas Manzolli,
Fernando J. Von Zuben:
Self-organizing Bio-inspired Sound Transformation.
EvoWorkshops 2007: 477-487 |
63 | EE | 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 |
62 | EE | 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 |
61 | EE | Renato Reder Cazangi,
Craig Feied,
Michael Gillam,
Jonathan Handler,
Mark 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 |
60 | EE | Leonardo M. Holschuh,
Clodoaldo Ap. M. Lima,
Fernando J. Von Zuben:
A Wrapper for Projection Pursuit Learning.
IJCNN 2007: 2892-2897 |
59 | EE | Wilfredo J. 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 |
58 | EE | Renan C. Moioli,
Patrícia Amâncio Vargas,
Fernando J. Von Zuben:
Analysing Learning Classifier Systems in Reactive and Non-reactive Robotic Tasks.
IWLCS 2007: 286-305 |
57 | EE | 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) |
2006 |
56 | EE | Leonardo Tomazeli Duarte,
Ricardo Suyama,
Romis de 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 |
55 | EE | Guilherme Palermo Coelho,
Fernando J. Von Zuben:
omni-aiNet: An Immune-Inspired Approach for Omni Optimization.
ICARIS 2006: 294-308 |
54 | EE | 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 |
53 | EE | Clodoaldo Ap. M. Lima,
Rafael Ferrari,
Helder Knidel,
C. Junqueira,
Romis de Faissol Attux,
João Marcos Travassos Romano,
Fernando J. Von Zuben:
Support Vector Clustering Applied to Digital Communications.
IJCNN 2006: 1642-1648 |
52 | EE | Helder Knidel,
Fernando J. Von Zuben,
Leandro Nunes de Castro:
A Supervised Constructive Neuro-Immune Network for Pattern Classification.
IJCNN 2006: 2083-2089 |
51 | EE | 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 |
50 | EE | Wilfredo J. 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 |
49 | EE | Pablo A. D. Castro,
Fernando J. Von Zuben:
Bayesian Learning of Neural Networks by Means of Artificial Immune Systems.
IJCNN 2006: 4831-4838 |
48 | EE | 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 |
47 | EE | 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 |
46 | EE | Artemis Moroni,
Rafael Maiolla,
Jônatas Manzolli,
Fernando J. Von Zuben:
ArTVox: Evolutionary Composition in Visual and Sound Domains.
Smart Graphics 2006: 218-223 |
2005 |
45 | | 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 |
44 | EE | Patrícia Amâncio Vargas,
Renan C. Moioli,
Leandro Nunes de Castro,
Jon Timmis,
Mark Neal,
Fernando J. Von Zuben:
Artificial Homeostatic System: A Novel Approach.
ECAL 2005: 754-764 |
43 | | Marcelo F. Caetano,
Jônatas Manzolli,
Fernando J. Von Zuben:
Interactive Control of Evolution Applied to Sound Synthesis.
FLAIRS Conference 2005: 51-56 |
42 | EE | 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 |
41 | EE | 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 |
40 | EE | Helder Knidel,
Leandro Nunes de Castro,
Fernando J. Von Zuben:
RABNET: a real-valued antibody network for data clustering.
GECCO 2005: 371-372 |
39 | EE | Pablo Alberto Dalbem de Castro,
Fernando J. Von Zuben:
An Immune-Inspired Approach to Bayesian Networks.
HIS 2005: 23-28 |
38 | EE | 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 |
37 | EE | 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 |
36 | EE | José Carlos L. Pinto,
Fernando J. Von Zuben:
Fault Detection Algorithm for Telephone Systems Based on the Danger Theory.
ICARIS 2005: 418-431 |
35 | EE | 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 |
34 | EE | Helder Knidel,
Leandro Nunes de Castro,
Fernando J. Von Zuben:
Data Clustering with a Neuro-immune Network.
ICNC (1) 2005: 1279-1288 |
33 | EE | 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) |
2004 |
32 | EE | George Barreto Bezerra,
Leandro Nunes de Castro,
Fernando J. Von Zuben:
A Hierarchical Immune Network Applied to Gene Expression Data.
ICARIS 2004: 14-27 |
31 | EE | 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 |
30 | | Ana Estela Antunes da Silva,
Wilfredo J. 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 |
29 | | 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 |
28 | EE | 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) |
27 | EE | Myriam Regattieri Delgado,
Fernando J. Von Zuben,
Fernando A. C. Gomide:
Coevolutionary genetic fuzzy systems: a hierarchical collaborative approach.
Fuzzy Sets and Systems 141(1): 89-106 (2004) |
26 | EE | 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.
Genetic Programming and Evolvable Machines 5(2): 157-179 (2004) |
2003 |
25 | EE | 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 |
24 | EE | 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 |
23 | EE | 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 (1) 2003: 420-426 |
22 | EE | Renato Reder Cazangi,
Fernando J. Von Zuben,
Maurício Figueiredo:
A classifier system in real applications for robot navigation.
IEEE Congress on Evolutionary Computation (1) 2003: 574-580 |
21 | | 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 |
20 | EE | 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) |
2002 |
19 | | Oclair Prado,
Fernando J. Von Zuben:
An Integrated System For Phylogenetic Inference Using Evolutionary Algorithms.
GECCO 2002: 693 |
18 | | 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 |
17 | EE | Patrícia Amâncio Vargas,
Leandro Nunes de Castro,
Fernando J. Von Zuben:
Mapping Artificial Immune Systems into Learning Classifier Systems.
IWLCS 2002: 163-186 |
16 | EE | 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 |
15 | EE | 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 |
14 | EE | 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 |
13 | | Robinson Semoline,
Fernando J. Von Zuben:
Transductive Support Vector Machines for Cancer Diagnosis and Classification of Microarray Gene Expression Data.
WOB 2002: 102-104 |
12 | | Oclair Prado,
Fernando J. Von Zuben,
Sérgio Furtado dos Reis:
Evolving Phylogenetic Trees: an Alternative to Black-Box Approaches.
WOB 2002: 56-63 |
11 | | 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 |
10 | | Leandro Nunes de Castro,
Fernando J. Von Zuben:
Learning and optimization using the clonal selection principle.
IEEE Trans. Evolutionary Computation 6(3): 239-251 (2002) |
9 | EE | Eduardo Masato Iyoda,
Kaoru Hirota,
Fernando J. Von Zuben:
Sigma-Pi Cascade Extended Hybrid Neural Network.
JACIII 6(3): 126-134 (2002) |
8 | EE | 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.
Journal of Intelligent and Fuzzy Systems 13(2-4): 143-154 (2002) |
2001 |
7 | EE | Patrícia Amâncio Vargas,
Christiano LyraFilho,
Fernando J. Von Zuben:
On-Line Approach for Loss Reduction in Electric Power Distribution Networks Using Learning Classifier Systems.
IWLCS 2001: 181-196 |
6 | | Myriam Regattieri Delgado,
Fernando J. Von Zuben,
Fernando A. C. Gomide:
Hierarchical genetic fuzzy systems.
Inf. Sci. 136(1-4): 29-52 (2001) |
5 | EE | 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) |
4 | | Leandro Nunes de Castro,
Fernando J. Von Zuben:
Immune and Neural Network Models: Theoretical and Empirical Comparisons.
International Journal of Computational Intelligence and Applications 1(3): 239-257 (2001) |
2000 |
3 | EE | Leandro Nunes de Castro,
Fernando J. Von Zuben:
An Evolutionary Immune Network for Data Clustering.
SBRN 2000: 84-89 |
1999 |
2 | | Myriam Regattieri Delgado,
Fernando J. Von Zuben,
Fernando A. C. Gomide:
Modular and Hierarchial Evolutionary Design of Fuzzy Systems.
GECCO 1999: 180-187 |
1998 |
1 | EE | 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 |