Genetic Programming Bibliography entries for Vijay Ingalalli
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Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
GP coauthors/coeditors:
Sara Silva,
Mauro Castelli,
Leonardo Vanneschi,
Susana de Almeida Mendes Vinga Martins,
Joao Manuel de Brito Carreiras,
Joana B Melo,
Ivo Goncalves,
Jose Miguel Ranhada Vellez Caldas,
Luis Munoz Delgado,
Leonardo Trujillo,
Genetic Programming conference papers by Vijay Ingalalli
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Sara Silva and Luis Munoz and Leonardo Trujillo and Vijay Ingalalli and Mauro Castelli and Leonardo Vanneschi.
Multiclass Classification Through Multidimensinoal Clustering. In
Rick Riolo and William P. Worzel and M. Kotanchek and A. Kordon editors,
Genetic Programming Theory and Practice XIII, pages 219-239, Ann Arbor, USA, 2015. Springer.
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Vijay Ingalalli and Sara Silva and Mauro Castelli and Leonardo Vanneschi.
A Multi-dimensional Genetic Programming Approach for Multi-class Classification Problems. In
Miguel Nicolau and Krzysztof Krawiec and Malcolm I. Heywood and Mauro Castelli and Pablo Garcia-Sanchez and Juan J. Merelo and Victor M. Rivas Santos and Kevin Sim editors,
17th European Conference on Genetic Programming, volume 8599, pages 48-60, Granada, Spain, 2014. Springer.
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Sara Silva and Vijay Ingalalli and Susana Vinga and Joao M. B. Carreiras and Joana B. Melo and Mauro Castelli and Leonardo Vanneschi and Ivo Goncalves and Jose Caldas.
Prediction of Forest Aboveground Biomass: An Exercise on Avoiding Overfitting. In
Anna I. Esparcia-Alcazar and Antonio Della Cioppa and Ivanoe De Falco and Ernesto Tarantino and Carlos Cotta and Robert Schaefer and Konrad Diwold and Kyrre Glette and Andrea Tettamanzi and Alexandros Agapitos and Paolo Burrelli and J. J. Merelo and Stefano Cagnoni and Mengjie Zhang and Neil Urquhart and Kevin Sim and Aniko Ekart and Francisco Fernandez de Vega and Sara Silva and Evert Haasdijk and Gusz Eiben and Anabela Simoes and Philipp Rohlfshagen editors,
Applications of Evolutionary Computing, EvoApplications 2013: EvoCOMNET, EvoCOMPLEX, EvoENERGY, EvoFIN, EvoGAMES, EvoIASP, EvoINDUSTRY, EvoNUM, EvoPAR, EvoRISK, EvoROBOT, EvoSTOC, volume 7835, pages 407-417, Vienna, 2013. Springer Verlag.
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