Genetic Programming Bibliography entries for Uriel Lopez
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Created by W.Langdon from
Luis Munoz Delgado,
Daniel E Hernandez,
Genetic Programming Articles by Uriel Lopez
Genetic Programming conference papers by Uriel Lopez
Uriel Lopez and Leonardo Trujillo and Sara Silva and Leonardo Vanneschi and Pierrick Legrand.
Unlabeled Multi-Target Regression with Genetic Programming. In
Carlos Artemio Coello Coello and Arturo Hernandez Aguirre and Josu Ceberio Uribe and Mario Garza Fabre and Gregorio Toscano Pulido and Katya Rodriguez-Vazquez and Elizabeth Wanner and Nadarajen Veerapen and Efren Mezura Montes and Richard Allmendinger and Hugo Terashima Marin and Markus Wagner and Thomas Bartz-Beielstein and Bogdan Filipic and Heike Trautmann and Ke Tang and John Koza and Erik Goodman and William B. Langdon and Miguel Nicolau and Christine Zarges and Vanessa Volz and Tea Tusar and Boris Naujoks and Peter A. N. Bosman and Darrell Whitley and Christine Solnon and Marde Helbig and Stephane Doncieux and Dennis G. Wilson and Francisco Fernandez de Vega and Luis Paquete and Francisco Chicano and Bing Xue and Jaume Bacardit and Sanaz Mostaghim and Jonathan Fieldsend and Oliver Schuetze and Dirk Arnold and Gabriela Ochoa and Carlos Segura and Carlos Cotta and Michael Emmerich and Mengjie Zhang and Robin Purshouse and Tapabrata Ray and Justyna Petke and Fuyuki Ishikawa and Johannes Lengler and Frank Neumann editors,
Proceedings of the 2020 Genetic and Evolutionary Computation Conference, pages 976-984, internet, 2020. Association for Computing Machinery.
Leonardo Trujillo and Luis Munoz and Uriel Lopez and Daniel E. Hernandez.
Untapped Potential of Genetic Programming: Transfer Learning and Outlier Removal. In
Wolfgang Banzhaf and Lee Spector and Leigh Sheneman editors,
Genetic Programming Theory and Practice XVI, pages 193-207, Ann Arbor, USA, 2018. Springer.
Uriel Lopez and Leonardo Trujillo and Pierrick Legrand.
Filtering Outliers in One Step with Genetic Programming. In
Anne Auger and Carlos M. Fonseca and Nuno Lourenco and Penousal Machado and Luis Paquete and Darrell Whitley editors,
15th International Conference on Parallel Problem Solving from Nature, volume 11101, pages 209-222, Coimbra, Portugal, 2018. Springer.
Uriel Lopez and Leonardo Trujillo and Yuliana Martinez and Pierrick Legrand and Enrique Naredo and Sara Silva.
RANSAC-GP: Dealing with Outliers in Symbolic Regression with Genetic Programming. In
Mauro Castelli and James McDermott and Lukas Sekanina editors,
EuroGP 2017: Proceedings of the 20th European Conference on Genetic Programming, volume 10196, pages 114-130, Amsterdam, 2017. Springer Verlag.