Genetic Programming Bibliography entries for Marley Maria Bernardes Rebuzzi Vellasco

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GP coauthors/coeditors: Eric da Silva Praxedes, Adriano Soares Koshiyama, Elita Selmara Abreu, Douglas Mota Dias, Marco Aurelio Cavalcanti Pacheco, Tatiana Escovedo, Ricardo Tanscheit, Marco Silva, Edson Cataldo, Guilherme Cesario Strachan,

Genetic Programming Articles by Marley Maria Bernardes Rebuzzi Vellasco

Genetic Programming conference papers by Marley Maria Bernardes Rebuzzi Vellasco

  1. Adriano Soares Koshiyama and Marley M. B. R. Vellasco and Ricardo Tanscheit. A Multi-gene Genetic Programming Fuzzy Inference System for Regression Problems. In Jose M. Alonso and Humberto Bustince and Marek Reformat editors, 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), Gijon, Spain, 2015. Atlantis Press. details

  2. Adriano S. Koshiyama and Marley M. B. R. Vellasco and Ricardo Tanscheit. Development of a fuzzy rule-based system using Genetic Programming for Forecasting problems. In 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2015. details

  3. Eric da Silva Praxedes and Adriano Soares Koshiyama and Elita Selmara Abreu and Douglas Mota Dias and Marley Maria Bernardes Rebuzzi Vellasco and Marco Aurelio Cavalcanti Pacheco. Lithology discrimination using seismic elastic attributes: a genetic fuzzy classifier approach. In Christian Igel and Dirk V. Arnold and Christian Gagne and Elena Popovici and Anne Auger and Jaume Bacardit and Dimo Brockhoff and Stefano Cagnoni and Kalyanmoy Deb and Benjamin Doerr and James Foster and Tobias Glasmachers and Emma Hart and Malcolm I. Heywood and Hitoshi Iba and Christian Jacob and Thomas Jansen and Yaochu Jin and Marouane Kessentini and Joshua D. Knowles and William B. Langdon and Pedro Larranaga and Sean Luke and Gabriel Luque and John A. W. McCall and Marco A. Montes de Oca and Alison Motsinger-Reif and Yew Soon Ong and Michael Palmer and Konstantinos E. Parsopoulos and Guenther Raidl and Sebastian Risi and Guenther Ruhe and Tom Schaul and Thomas Schmickl and Bernhard Sendhoff and Kenneth O. Stanley and Thomas Stuetzle and Dirk Thierens and Julian Togelius and Carsten Witt and Christine Zarges editors, GECCO '14: Proceedings of the 2014 conference on Genetic and evolutionary computation, pages 1151-1158, Vancouver, BC, Canada, 2014. ACM. details

  4. Guilherme Cesario Strachan and Adriano Soares Koshiyama and Douglas Mota Dias and Marley Maria Bernardes Rebuzzi Vellasco and Marco Aurelio Cavalcanti Pacheco. Towards a quantum-inspired multi-gene linear genetic programming model. In Christian Igel and Dirk V. Arnold and Christian Gagne and Elena Popovici and Anne Auger and Jaume Bacardit and Dimo Brockhoff and Stefano Cagnoni and Kalyanmoy Deb and Benjamin Doerr and James Foster and Tobias Glasmachers and Emma Hart and Malcolm I. Heywood and Hitoshi Iba and Christian Jacob and Thomas Jansen and Yaochu Jin and Marouane Kessentini and Joshua D. Knowles and William B. Langdon and Pedro Larranaga and Sean Luke and Gabriel Luque and John A. W. McCall and Marco A. Montes de Oca and Alison Motsinger-Reif and Yew Soon Ong and Michael Palmer and Konstantinos E. Parsopoulos and Guenther Raidl and Sebastian Risi and Guenther Ruhe and Tom Schaul and Thomas Schmickl and Bernhard Sendhoff and Kenneth O. Stanley and Thomas Stuetzle and Dirk Thierens and Julian Togelius and Carsten Witt and Christine Zarges editors, GECCO Comp '14: Proceedings of the 2014 conference companion on Genetic and evolutionary computation companion, pages 149-150, Vancouver, BC, Canada, 2014. ACM. details

  5. Guilherme C. Strachan and Adriano S. Koshiyama and Douglas M. Dias and Marley M. B. R. Vellasco and Marco A. C. Pacheco. Quantum-Inspired Multi-gene Linear Genetic Programming Model for Regression Problems. In Brazilian Conference on Intelligent Systems (BRACIS 2014), pages 152-157, 2014. details

  6. Marco Silva and Adriano Koshiyama and Marley Vellasco and Edson Cataldo. Evolutionary features and parameter optimization of spiking neural networks for unsupervised learning. In International Joint Conference on Neural Networks (IJCNN 2014), pages 2391-2398, 2014. details

  7. A. S. Koshiyama and T. Escovedo and M. M. B. R. Vellasco and R. Tanscheit. GPFIS-Control: A fuzzy Genetic model for Control tasks. In IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2014), pages 1953-1959, 2014. details

  8. Adriano Koshiyama and Tatiana Escovedo and Douglas Dias and Marley Vellasco and Ricardo Tanscheit. GPF-CLASS: A Genetic Fuzzy Model for Classification. In Luis Gerardo de la Fraga editor, 2013 IEEE Conference on Evolutionary Computation, volume 1, pages 3275-3282, Cancun, Mexico, 2013. details