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Fernando J. Von Zuben

Fernando J. Von Zuben

D-Index & Metrics

Computer Science

D-Index
33
Citations
7551
World Ranking
12430
National Ranking
57

Overview

Fernando J. Von Zuben is affiliated with the State University of Campinas in Brazil and focuses primarily on research within the field of Computer Science. Their work spans multiple subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Information Systems, and Signal Processing.

Their research covers numerous topics, with a notable emphasis on Neural Networks and Applications, Machine Learning and Extreme Learning Machines (ELM), Face and Expression Recognition, Fuzzy Logic and Control Systems, Data Mining Algorithms and Applications, Rough Sets and Fuzzy Logic, and Evolutionary Algorithms and Applications.

Fernando J. Von Zuben has contributed to a variety of publication venues. These include:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • The Anatomical Record
  • PLoS ONE
  • Proceedings of the Genetic and Evolutionary Computation Conference

Some of their recent papers are:

  • Skull diversity and evolution in miniaturized amphibians, genus Brachycephalus (Anura: Brachycephalidae), 2020, The Anatomical Record
  • Using association rule mining to jointly detect clinical features and differentially expressed genes related to chronic inflammatory diseases, 2020, PLoS ONE
  • Simulated annealing for symbolic regression, 2021, Proceedings of the Genetic and Evolutionary Computation Conference
  • Exploring multiobjective training in multiclass classification, 2021, Neurocomputing
  • The Extreme Value Evolving Predictor, 2020, IEEE Transactions on Fuzzy Systems

Collaboration is a consistent aspect of their work. Frequent coauthors include Rosana Veroneze, Amanda O. C. Ayres, Gabriel R. Lencione, Sérgio F. dos Reis, and Rute B. G. Clemente-Carvalho. These partnerships indicate a diverse but focused collaborative network that spans a range of related research topics.

Best Publications

  • aiNet: An Artificial Immune Network for Data Analysis

    Leandro Nunes de Castro;Fernando J. Von Zuben

  • An Evolutionary Immune Network for Data Clustering

    Unknown

  • Vox Populi: An Interactive Evolutionary System for Algorithmic Music Composition

    Artemis Moroni;Jônatas Manzolli;Fernando Von Zuben;Ricardo Gudwin

  • An artificial immune network for multimodal function optimization on dynamic environments

    Fabricio Olivetti de França;Fernando J. Von Zuben;Leandro Nunes de Castro

  • Recent Developments In Biologically Inspired Computing

    Leandro N. Decastro;Fernando J. Von Zuben;Leandro N. De Castro

  • IMMUNE AND NEURAL NETWORK MODELS: THEORETICAL AND EMPIRICAL COMPARISONS

    Leandro Nunes de Castro;Fernando J. Von Zuben

  • Switch allocation problems in power distribution systems

    Laura Silva de Assis;José Federico Vizcaı´no González;Fábio Luiz Usberti;Christiano Lyra

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

    Leandro Nunes de Castro;Fernando J. Von Zuben;Getúlio A. de Deus

  • Omni-aiNet: an immune-inspired approach for omni optimization

    Guilherme P. Coelho;Fernando J. Von Zuben

  • Artificial homeostatic system: a novel approach

    Patrícia Vargas;Renan Moioli;Leandro N. de Castro;Jon Timmis

  • 2012 Special Issue: An extended echo state network using Volterra filtering and principal component analysis

    Levy Boccato;Amauri Lopes;Romis Attux;Fernando J. Von Zuben

  • Applying biclustering to text mining: an immune-inspired approach

    Pablo A. D. de Castro;Fabrício O. de França;Hamilton M. Ferreira;Fernando J. Von Zuben

  • Coevolutionary genetic fuzzy systems: a hierarchical collaborative approach

    Myriam Regattieri Delgado;Fernando J. Von Zuben;Fernando A. C. Gomide

  • Hierarchical genetic fuzzy systems

    Myriam Regattieri Delgado;Fernando Von Zuben;Fernando Gomide

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

    Clodoaldo A. M. Lima;André L. V. Coelho;Fernando J. Von Zuben

  • Designing ensembles of fuzzy classification systems: an immune-inspired approach

    Pablo D. Castro;Guilherme P. Coelho;Marcelo F. Caetano;Fernando J. Von Zuben

  • A dynamic artificial immune algorithm applied to challenging benchmarking problems

    Fabricio Olivetti de Franca;Fernando J. Von Zuben

  • Adaptive radius immune algorithm for data clustering

    George B. Bezerra;Tiago V. Barra;Leandro N. de Castro;Fernando J. Von Zuben

  • An Immunological Approach to Initialize Feedforward Neural Network Weights

    Leandro Nunes de Castro;Fernando J. Von Zuben

  • An Immunological Approach to Initialize Centers of Radial Basis Function Neural Networks

    Leandro Nunes de Castro;Fernando J. Von Zuben

  • Multi-task sparse structure learning with Gaussian copula models

    André R. Gonçalves;Fernando J. Von Zuben;Arindam Banerjee

Frequent Co-Authors

Leandro Nunes de Castro
Leandro Nunes de Castro Florida Gulf Coast University
Arindam Banerjee
Arindam Banerjee University of Illinois at Urbana-Champaign
Fernando Gomide
Fernando Gomide State University of Campinas
Phil Husbands
Phil Husbands University of Sussex
Pablo Moscato
Pablo Moscato University of Newcastle Australia
Jon Timmis
Jon Timmis University of Sunderland
Kaoru Hirota
Kaoru Hirota Tokyo Institute of Technology
Anderson Rocha
Anderson Rocha State University of Campinas
Rubens Maciel Filho
Rubens Maciel Filho State University of Campinas
Harry Ischiropoulos
Harry Ischiropoulos Children's Hospital of Philadelphia

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