Genetic Programming Bibliography entries for Vinicius Veloso de Melo

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GP coauthors/coeditors: Wolfgang Banzhaf, Patricia Miquilini, Rodrigo C Barros, Marcio Porto Basgalupp, Leo Francoso Dal Piccol Sotto, Regina Celia Coelho,

Genetic Programming Articles by Vinicius Veloso de Melo

Genetic Programming conference papers by Vinicius Veloso de Melo

  1. Leo Francoso Dal Piccol Sotto and Vinicius Veloso de Melo. A Probabilistic Linear Genetic Programming with Stochastic Context-free Grammar for Solving Symbolic Regression Problems. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 1017-1024, Berlin, Germany, 2017. ACM. details

  2. Vinicius Veloso de Melo and Wolfgang Banzhaf. Improving Logistic Regression Classification of Credit Approval with Features Constructed by Kaizen Programming. In Tobias Friedrich and Frank Neumann and Andrew M. Sutton and Martin Middendorf and Xiaodong Li and Emma Hart and Mengjie Zhang and Youhei Akimoto and Peter A. N. Bosman and Terry Soule and Risto Miikkulainen and Daniele Loiacono and Julian Togelius and Manuel Lopez-Ibanez and Holger Hoos and Julia Handl and Faustino Gomez and Carlos M. Fonseca and Heike Trautmann and Alberto Moraglio and William F. Punch and Krzysztof Krawiec and Zdenek Vasicek and Thomas Jansen and Jim Smith and Simone Ludwig and JJ Merelo and Boris Naujoks and Enrique Alba and Gabriela Ochoa and Simon Poulding and Dirk Sudholt and Timo Koetzing editors, GECCO '16 Companion: Proceedings of the Companion Publication of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 61-62, Denver, USA, 2016. ACM. details

  3. Vinicius Veloso de Melo. Breast Cancer Detection with Logistic Regression improved by features constructed by Kaizen Programming in a hybrid approach. In Yew-Soon Ong editor, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), pages 16-23, Vancouver, 2016. IEEE Press. details

  4. Leo Francoso Dal Piccol Sotto and Vinicius Veloso de Melo and Marcio P. Basgalupp. An improved $\lambda$-linear genetic programming evaluated in solving the Santa Fe ant trail problem. In Sascha Ossowski editor, Proceedings of the 31st Annual ACM Symposium on Applied Computing, pages 103-108, Pisa, Italy, 2016. ACM. details

  5. Leo Francoso Dal Piccol Sotto and Vinicius Veloso de Melo. Solving the Lawn Mower problem with Kaizen Programming and $\lambda$-Linear Genetic Programming for Module Acquisition. In Tobias Friedrich and Frank Neumann and Andrew M. Sutton and Martin Middendorf and Xiaodong Li and Emma Hart and Mengjie Zhang and Youhei Akimoto and Peter A. N. Bosman and Terry Soule and Risto Miikkulainen and Daniele Loiacono and Julian Togelius and Manuel Lopez-Ibanez and Holger Hoos and Julia Handl and Faustino Gomez and Carlos M. Fonseca and Heike Trautmann and Alberto Moraglio and William F. Punch and Krzysztof Krawiec and Zdenek Vasicek and Thomas Jansen and Jim Smith and Simone Ludwig and JJ Merelo and Boris Naujoks and Enrique Alba and Gabriela Ochoa and Simon Poulding and Dirk Sudholt and Timo Koetzing editors, GECCO '16 Companion: Proceedings of the Companion Publication of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 113-114, Denver, USA, 2016. ACM. details

  6. Leo Francoso Dal Piccol Sotto and Regina Celia Coelho and Vinicius Veloso de Melo. Classification of Cardiac Arrhythmia by Random Forests with Features Constructed by Kaizen Programming using Linear Genetic Programming. In Tobias Friedrich editor, GECCO '16: Proceedings of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 813-820, Denver, USA, 2016. ACM. details

  7. Patricia Miquilini and Rodrigo C. Barros and Vinicius V de Melo and Marcio P. Basgalupp. Enhancing Discrimination Power with Genetic Feature Construction: A Grammatical Evolution Approach. In Yew-Soon Ong editor, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), pages 3824-3831, Vancouver, 2016. IEEE Press. details

  8. Vinicius Veloso de Melo and Wolfgang Banzhaf. Kaizen Programming for Feature Generation. In Rick Riolo and William P. Worzel and M. Kotanchek and A. Kordon editors, Genetic Programming Theory and Practice XIII, Ann Arbor, USA, 2015. Springer. details

  9. Leo Francoso Dal Piccol Sotto and Vinicius Veloso de Melo. Comparison of linear genetic programming variants for symbolic regression. 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 135-136, Vancouver, BC, Canada, 2014. ACM. details

  10. Vinicius Veloso De Melo. Kaizen programming. 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 895-902, Vancouver, BC, Canada, 2014. ACM. details

  11. Leo Francoso Dal Piccol Sotto and Vinicius Veloso de Melo. Investigation of Linear Genetic Programming Techniques for Symbolic Regression. In Ricardo B. C. Prudencio and Paulo E. Santos editors, Brazilian Conference on Intelligent Systems, BRACIS 2014, pages 146-151, Sao Paulo, Brazil, 2014. IEEE. details