Genetic Programming Bibliography entries for Pierrick Legrand

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GP coauthors/coeditors: Mauro Castelli, Leonardo Trujillo, Leonardo Vanneschi, Sara Silva, Emigdio Z-Flores, Jose Enrique Hernandez-Beltran, Victor Hugo Diaz-Ramirez, Uriel Lopez, Yuliana Martinez, Enrique Naredo, Victor Raul Lopez Lopez, Gustavo Olague, Edgar Galvan Lopez, Luis Munoz Delgado, Zoe Sigrist, Eric Grivel, Benoit Alcoverro, Jacques Levy-Vehel, Perla Sarahi Juarez-Smith, Oliver Schuetze, Frederique Faita-Ainseba,

Genetic Programming Articles by Pierrick Legrand

  1. Emigdio Z-Flores and Leonardo Trujillo and Pierrick Legrand and Frederique Faita-Ainseba. EEG Feature Extraction Using Genetic Programming for the Classification of Mental States. Algorithms, 13(9) 2020. details

  2. Leonardo Trujillo and Uriel Lopez and Pierrick Legrand. SOAP: Semantic outliers automatic preprocessing. Information Sciences, 526:86-101, 2020. details

  3. Victor R. Lopez-Lopez and Leonardo Trujillo and Pierrick Legrand. Applying Genetic Improvement to a Genetic Programming library in C++. Soft Computing, 23(22):11593-11609, 2019. details

  4. Jose Enrique Hernandez-Beltran and Victor H. Diaz-Ramirez and Leonardo Trujillo and Pierrick Legrand. Design of estimators for restoration of images degraded by haze using genetic programming. Swarm and Evolutionary Computation, 44:49-63, 2019. details

  5. Yuliana Martinez and Enrique Naredo and Leonardo Trujillo and Pierrick Legrand and Uriel Lopez. A comparison of fitness-case sampling methods for genetic programming. Journal of Experimental \& Theoretical Artificial Intelligence, 29(6):1203-1224, 2017. details

  6. Enrique Naredo and Leonardo Trujillo and Pierrick Legrand and Sara Silva and Luis Munoz. Evolving genetic programming classifiers with novelty search. Information Sciences, 369:347-367, 2016. details

  7. Yuliana Martinez and Leonardo Trujillo and Pierrick Legrand and Edgar Galvan-Lopez. Prediction of expected performance for a genetic programming classifier. Genetic Programming and Evolvable Machines, 17(4):409-449, 2016. details

  8. Victor R. Lopez-Lopez and Leonardo Trujillo and Pierrick Legrand and Victor H. Diaz-Ramirez and Gustavo Olague. Comparison of Local Feature Extraction Paradigms Applied to Visual SLAM. Computacion y Sistemas, 20(4):565-587, 2016. Thematic Issue: Research Advances and Applications of Evolutionary Computation. details

  9. Leonardo Trujillo and Pierrick Legrand and Gustavo Olague and Jacques Levy-Vehel. Evolving estimators of the pointwise Hoelder exponent with Genetic Programming. Information Sciences, 209:61-79, 2012. details

Genetic Programming conference papers by Pierrick Legrand

  1. 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. details

  2. 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. details

  3. Victor R. Lopez-Lopez and Leonardo Trujillo and Pierrick Legrand. Novelty Search for software improvement of a SLAM system. In Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and John R. Woodward and Shin Yoo editors, 5th edition of GI @ GECCO 2018, pages 1598-1605, Kyoto, Japan, 2018. ACM. details

  4. 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. details

  5. Leonardo Trujillo and Emigdio Z-Flores and Perla S. Juarez Smith and Pierrick Legrand and Sara Silva and Mauro Castelli and Leonardo Vanneschi and Oliver Schuetze and Luiz Munoz. Local Search is Underused in Genetic Programming. In William Tozier and Brian W. Goldman and Bill Worzel and Rick Riolo editors, Genetic Programming Theory and Practice XIV, pages 119-137, Ann Arbor, USA, 2016. Springer. details

  6. Victor R. Lopez-Lopez and Leonardo Trujillo and Pierrick Legrand and Gustavo Olague. Genetic Programming: From design to improved implementation. In Justyna Petke and David R. White and Westley Weimer editors, Genetic Improvement 2016 Workshop, pages 1147-1154, Denver, 2016. ACM. details

  7. Emigdio Z-Flores and Leonardo Trujillo and Oliver Schuetze and Pierrick Legrand. A Local Search Approach to Genetic Programming for Binary Classification. In Sara Silva and Anna I Esparcia-Alcazar and Manuel Lopez-Ibanez and Sanaz Mostaghim and Jon Timmis and Christine Zarges and Luis Correia and Terence Soule and Mario Giacobini and Ryan Urbanowicz and Youhei Akimoto and Tobias Glasmachers and Francisco Fernandez de Vega and Amy Hoover and Pedro Larranaga and Marta Soto and Carlos Cotta and Francisco B. Pereira and Julia Handl and Jan Koutnik and Antonio Gaspar-Cunha and Heike Trautmann and Jean-Baptiste Mouret and Sebastian Risi and Ernesto Costa and Oliver Schuetze and Krzysztof Krawiec and Alberto Moraglio and Julian F. Miller and Pawel Widera and Stefano Cagnoni and JJ Merelo and Emma Hart and Leonardo Trujillo and Marouane Kessentini and Gabriela Ochoa and Francisco Chicano and Carola Doerr editors, GECCO '15: Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, pages 1151-1158, Madrid, Spain, 2015. ACM. details

  8. Mauro Castelli and Leonardo Trujillo and Leonardo Vanneschi and Sara Silva and Emigdio Z-Flores and Pierrick Legrand. Geometric Semantic Genetic Programming with Local Search. In Sara Silva and Anna I Esparcia-Alcazar and Manuel Lopez-Ibanez and Sanaz Mostaghim and Jon Timmis and Christine Zarges and Luis Correia and Terence Soule and Mario Giacobini and Ryan Urbanowicz and Youhei Akimoto and Tobias Glasmachers and Francisco Fernandez de Vega and Amy Hoover and Pedro Larranaga and Marta Soto and Carlos Cotta and Francisco B. Pereira and Julia Handl and Jan Koutnik and Antonio Gaspar-Cunha and Heike Trautmann and Jean-Baptiste Mouret and Sebastian Risi and Ernesto Costa and Oliver Schuetze and Krzysztof Krawiec and Alberto Moraglio and Julian F. Miller and Pawel Widera and Stefano Cagnoni and JJ Merelo and Emma Hart and Leonardo Trujillo and Marouane Kessentini and Gabriela Ochoa and Francisco Chicano and Carola Doerr editors, GECCO '15: Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, pages 999-1006, Madrid, Spain, 2015. ACM. details

  9. Emigdio Z-Flores and Leonardo Trujillo and Oliver Schuetze and Pierrick Legrand. Evaluating the Effects of Local Search in Genetic Programming. In Alexandru-Adrian Tantar and Emilia Tantar and Jian-Qiao Sun and Wei Zhang and Qian Ding and Oliver Schuetze and Michael Emmerich and Pierrick Legrand and Pierre Del Moral and Carlos A. Coello Coello editors, EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V, volume 288, pages 213-228, Peking, 2014. Springer. details

  10. Yuliana Martinez and Leonardo Trujillo and Enrique Naredo and Pierrick Legrand. A Comparison of Fitness-Case Sampling Methods for Symbolic Regression with Genetic Programming. In Alexandru-Adrian Tantar and Emilia Tantar and Jian-Qiao Sun and Wei Zhang and Qian Ding and Oliver Schuetze and Michael Emmerich and Pierrick Legrand and Pierre Del Moral and Carlos A. Coello Coello editors, EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V, volume 288, pages 201-212, Peking, 2014. Springer. details

  11. Leonardo Trujillo and Yuliana Martinez and Edgar Galvan Lopez and Pierrick Legrand. A comparative study of an evolvability indicator and a predictor of expected performance for genetic programming. In Terry Soule and Anne Auger and Jason Moore and David Pelta and Christine Solnon and Mike Preuss and Alan Dorin and Yew-Soon Ong and Christian Blum and Dario Landa Silva and Frank Neumann and Tina Yu and Aniko Ekart and Will Browne and Tim Kovacs and Man-Leung Wong and Clara Pizzuti and Jon Rowe and Tobias Friedrich and Giovanni Squillero and Nicolas Bredeche and Stephen L. Smith and Alison Motsinger-Reif and Jose Lozano and Martin Pelikan and Silja Meyer-Nienberg and Christian Igel and Greg Hornby and Rene Doursat and Steve Gustafson and Gustavo Olague and Shin Yoo and John Clark and Gabriela Ochoa and Gisele Pappa and Fernando Lobo and Daniel Tauritz and Jurgen Branke and Kalyanmoy Deb editors, GECCO Companion '12: Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion, pages 1489-1490, Philadelphia, Pennsylvania, USA, 2012. ACM. details

  12. Zoe Sigrist and Eric Grivel and Pierrick Legrand and Benoit Alcoverro. Genetic Programming for Nonlinear Mechanical System Identification from Noisy Measurements. In Oliver Schuetze and Carlos A. Coello Coello and Alexandru-Adrian Tantar and Emilia Tantar and Pascal Bouvry and Pierre Del Moral and Pierrick Legrand editors, EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II, Mexico City, Mexico, 2012. details

  13. Leonardo Trujillo and Yuliana Martinez and Edgar Galvan-Lopez and Pierrick Legrand. A comparison of predictive measures of problem difficulty for classification with Genetic Programming. In ERA 2012, Tijuana, Mexico, 2012. details

  14. Leonardo Trujillo and Sara Silva and Pierrick Legrand and Leonardo Vanneschi. An empirical study of functional complexity as an indicator of overfitting in Genetic Programming. In Sara Silva and James A. Foster and Miguel Nicolau and Mario Giacobini and Penousal Machado editors, Proceedings of the 14th European Conference on Genetic Programming, EuroGP 2011, volume 6621, pages 262-273, Turin, Italy, 2011. Springer Verlag. details

  15. Leonardo Trujillo and Yuliana Martinez and Edgar Galvan-Lopez and Pierrick Legrand. Predicting problem difficulty for genetic programming applied to data classification. In Natalio Krasnogor and Pier Luca Lanzi and Andries Engelbrecht and David Pelta and Carlos Gershenson and Giovanni Squillero and Alex Freitas and Marylyn Ritchie and Mike Preuss and Christian Gagne and Yew Soon Ong and Guenther Raidl and Marcus Gallager and Jose Lozano and Carlos Coello-Coello and Dario Landa Silva and Nikolaus Hansen and Silja Meyer-Nieberg and Jim Smith and Gus Eiben and Ester Bernado-Mansilla and Will Browne and Lee Spector and Tina Yu and Jeff Clune and Greg Hornby and Man-Leung Wong and Pierre Collet and Steve Gustafson and Jean-Paul Watson and Moshe Sipper and Simon Poulding and Gabriela Ochoa and Marc Schoenauer and Carsten Witt and Anne Auger editors, GECCO '11: Proceedings of the 13th annual conference on Genetic and evolutionary computation, pages 1355-1362, Dublin, Ireland, 2011. ACM. details

  16. Leonardo Trujillo and Pierrick Legrand and Jacques Levy-Vehel. The estimation of h\"olderian regularity using genetic programming. In Juergen Branke and Martin Pelikan and Enrique Alba and Dirk V. Arnold and Josh Bongard and Anthony Brabazon and Juergen Branke and Martin V. Butz and Jeff Clune and Myra Cohen and Kalyanmoy Deb and Andries P Engelbrecht and Natalio Krasnogor and Julian F. Miller and Michael O'Neill and Kumara Sastry and Dirk Thierens and Jano van Hemert and Leonardo Vanneschi and Carsten Witt editors, GECCO '10: Proceedings of the 12th annual conference on Genetic and evolutionary computation, pages 861-868, Portland, Oregon, USA, 2010. ACM. details

Genetic Programming other entries for Pierrick Legrand