Genetic Programming Bibliography entries for Sara Silva

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GP coauthors/coeditors: Irene Azzali, Leonardo Vanneschi, Illya Bakurov, Mario Giacobini, Marco Ivaldi, Jose Manuel Munoz Contreras, Mauro Castelli, Nuno Miguel Rodrigues Domingos, Leonardo Trujillo, Stephan M Winkler, Wolfgang Banzhaf, Joao E Batista, Ana Isabel Rosa Cabral, Maria Jose Vasconcelos, Adriano Venturieri, Luiz Guilherme Teixeira Silva, Joao Eduardo Batista, Adam Kotaro Pindur, Hitoshi Iba, Stefano Beretta, Yuliana Martinez, Luis Munoz Delgado, Luciano Milanesi, Ivan Merelli, Karina Brotto Rebuli, Pedro C Silva, Luca Manzoni, Luis Catarino, Joao Manuel de Brito Carreiras, Davide Castaldi, Ilaria Giordani, Francesco Archetti, Daniele Maccagnola, Stefano Ruberto, Emigdio Z-Flores, Pierrick Legrand, Ales Popovic, Ivo Goncalves, Anna Esparcia-Alcazar, Aniko Ekart, Stephen Dignum, A Sima Etaner-Uyar, Philipp Fleck, Michael Kommenda, Michael Affenzeller, Alcides Fonseca, Paulo Alexandre Canelas dos Santos, Guilherme Jorge Nunes Monteiro Espada, Joana B Melo, Carlos M Fonseca, Vijay Ingalalli, William La Cava, Lee Spector, Jason H Moore, Kourosh Danai, Uriel Lopez, Enrique Naredo, Marco Lotz, Alberto Moraglio, Krzysztof Krawiec, Penousal Machado, Carlos Cotta, Julian Togelius, Giorgia Nadizar, Fraser Garrow, Berfin Sakallioglu, Lorenzo Canonne, Jose Almeida, Jonas S Almeida, Ernesto Costa, Pedro J N Silva, Yao-Ting Tseng, James A Foster, Miguel Nicolau, Susana de Almeida Mendes Vinga Martins, Jose Miguel Ranhada Vellez Caldas, Manuel Lopez-Ibanez, Sanaz Mostaghim, Jon Timmis, Christine Zarges, Luis Correia, Terence Soule, Ryan J Urbanowicz, Youhei Akimoto, Tobias Glasmachers, Francisco Fernandez de Vega, Amy Hoover, Pedro Larranaga, Marta Soto, Francisco Jose Baptista Pereira, Julia Handl, Jan Koutnik, Antonio Gaspar-Cunha, Heike Trautmann, Jean-Baptiste Mouret, Sebastian Risi, Oliver Schuetze, Julian F Miller, Pawel Widera, Stefano Cagnoni, Juan Julian Merelo, Emma Hart, Marouane Kessentini, Gabriela Ochoa, Francisco Chicano, Carola Doerr, Rita T Sousa, Catia Luisa Santana Calisto Pesquita, Edgar Galvan Lopez, Perla Sarahi Juarez-Smith,

Genetic Programming Articles by Sara Silva

  1. Rita T. Sousa and Sara Silva and Catia Pesquita. Explaining protein-protein interactions with knowledge graph-based semantic similarity. Computers in Biology and Medicine, 170:108076, 2024. details

  2. Giorgia Nadizar and Berfin Sakallioglu and Fraser Garrow and Sara Silva and Leonardo Vanneschi. Geometric semantic GP with linear scaling: Darwinian versus Lamarckian evolution. Genetic Programming and Evolvable Machines, 25:Article no: 17, 2024. Online first. details

  3. Illya Bakurov and Jose Manuel Munoz Contreras and Mauro Castelli and Nuno Rodrigues and Sara Silva and Leonardo Trujillo and Leonardo Vanneschi. Geometric semantic genetic programming with normalized and standardized random programs. Genetic Programming and Evolvable Machines, 25:Article no 6, 2024. Online first. details

  4. Nuno M. Rodrigues and Joao E. Batista and William La Cava and Leonardo Vanneschi and Sara Silva. Exploring SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming. SN Computer Science, 5(1) 2023. details

  5. Joao E. Batista and Nuno M. Rodrigues and Ana I. R. Cabral and Maria J. P. Vasconcelos and Adriano Venturieri and Luiz G. T. Silva and Sara Silva. Optical time series for the separation of land cover types with similar spectral signatures: cocoa agroforest and forest. International Journal of Remote Sensing, 43(9):3298-3319, 2022. details

  6. Joao E. Batista and Ana I. R. Cabral and Maria J. P. Vasconcelos and Leonardo Vanneschi and Sara Silva. Improving Land Cover Classification Using Genetic Programming for Feature Construction. Remote Sensing, 13(9) 2021. details

  7. Nuno M. Rodrigues and Sara Silva and Leonardo Vanneschi. A Study of Generalization and Fitness Landscapes for Neuroevolution. IEEE Access, 8:108216-108234, 2020. details

  8. Luis Munoz and Leonardo Trujillo and Sara Silva. Transfer learning in constructive induction with Genetic Programming. Genetic Programming and Evolvable Machines, 21(4):529-569, 2020. details

  9. Irene Azzali and Leonardo Vanneschi and Illya Bakurov and Sara Silva and Marco Ivaldi and Mario Giacobini. Towards the use of vector based GP to predict physiological time series. Applied Soft Computing, 89:106097, 2020. details

  10. Luis Munoz and Leonardo Trujillo and Sara Silva and Mauro Castelli and Leonardo Vanneschi. Evolving multidimensional transformations for symbolic regression with M3GP. Memetic Computing, 11(2):111-126, 2019. details

  11. William La Cava and Sara Silva and Kourosh Danai and Lee Spector and Leonardo Vanneschi and Jason H. Moore. Multidimensional genetic programming for multiclass classification. Swarm and Evolutionary Computation, 44:260-272, 2019. details

  12. Sara Silva and Leonardo Vanneschi and Ana I. R. Cabral and Maria J. Vasconcelos. A semi-supervised Genetic Programming method for dealing with noisy labels and hidden overfitting. Swarm and Evolutionary Computation, 39:323-338, 2018. details

  13. Ana I. R. Cabral and Sara Silva and Pedro C. Silva and Leonardo Vanneschi and Maria J. Vasconcelos. Burned area estimations derived from Landsat ETM+ and OLI data: Comparing Genetic Programming with Maximum Likelihood and Classification and Regression Trees. ISPRS Journal of Photogrammetry and Remote Sensing, 142:94-105, 2018. details

  14. Mauro Castelli and Luca Manzoni and Sara Silva and Leonardo Vanneschi and Ales Popovic. The influence of population size in geometric semantic GP. Swarm and Evolutionary Computation, 32:110-120, 2017. details

  15. Leonardo Trujillo and Luis Munoz and Edgar Galvan-Lopez and Sara Silva. neat Genetic Programming: Controlling Bloat Naturally. Information Sciences, 333:21-43, 2016. details

  16. 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

  17. Mauro Castelli and Luca Manzoni and Leonardo Vanneschi and Sara Silva and Ales Popovic. Self-tuning geometric semantic Genetic Programming. Genetic Programming and Evolvable Machines, 17(1):55-74, 2016. details

  18. Mauro Castelli and Sara Silva and Leonardo Vanneschi. A C++ framework for geometric semantic genetic programming. Genetic Programming and Evolvable Machines, 16(1):73-81, 2015. details

  19. Leonardo Vanneschi and Mauro Castelli and Sara Silva. A survey of semantic methods in genetic programming. Genetic Programming and Evolvable Machines, 15(2):195-214, 2014. details

  20. Mauro Castelli and Leonardo Vanneschi and Sara Silva. Semantic Search-Based Genetic Programming and the Effect of Intron Deletion. IEEE Transactions on Cybernetics, 44(1):103-113, 2014. details

  21. Mauro Castelli and Leonardo Vanneschi and Sara Silva. Prediction of the Unified Parkinson's Disease Rating Scale assessment using a genetic programming system with geometric semantic genetic operators. Expert Systems with Applications, 41(10):4608-4616, 2014. details

  22. M. Castelli and L. Vanneschi and S. Silva. Corrections to ``Semantic Search Based Genetic Programming and the Effect of Introns Deletion'' [Jan 14 103-113]. IEEE Transactions on Cybernetics, 44(4):565, 2014. details

  23. Mauro Castelli and Leonardo Vanneschi and Sara Silva. Semantic Search-Based Genetic Programming and the Effect of Intron Deletion. IEEE Transactions on Cybernetics, 44(1):103-113, 2014. details

  24. A. Moraglio and J. Togelius and S. Silva. Geometric Differential Evolution for Combinatorial and Programs Spaces. Evolutionary Computation, 21(4):591-624, 2013. details

  25. Mauro Castelli and Leonardo Vanneschi and Sara Silva. Prediction of high performance concrete strength using Genetic Programming with geometric semantic genetic operators. Expert Systems with Applications, 40(17):6856-6862, 2013. details

  26. Sara Silva and James Foster. Guest editorial: special issue on selected papers from the European conference on genetic programming. Genetic Programming and Evolvable Machines, 13(3):271-273, 2012. details

  27. Sara Silva and Stephen Dignum and Leonardo Vanneschi. Operator equalisation for bloat free genetic programming and a survey of bloat control methods. Genetic Programming and Evolvable Machines, 13(2):197-238, 2012. details

  28. Sara Silva and Leonardo Vanneschi. Bloat free genetic programming: application to human oral bioavailability prediction. International Journal of Data Mining and Bioinformatics, 6(6):585-601, 2012. details

  29. Sara Silva. Reassembling Operator Equalisation: A Secret Revealed. SIGEVOlution, 5(3):10-22, 2010. details

  30. Sara Silva and Ernesto Costa. Dynamic limits for bloat control in genetic programming and a review of past and current bloat theories. Genetic Programming and Evolvable Machines, 10(2):141-179, 2009. details

Genetic Programming Books by Sara Silva

Genetic Programming PhD doctoral thesis Sara Silva

Genetic Programming Conference proceedings edited by Sara Silva

  1. Leonardo Trujillo and Stephan M. Winkler and Sara Silva and Wolfgang Banzhaf editors, Genetic Programming Theory and Practice XIX. East Lansing, USA, Springer, 2022. details

  2. 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. Madrid, Spain, 2015. details

  3. Alberto Moraglio and Sara Silva and Krzysztof Krawiec and Penousal Machado and Carlos Cotta editors, Proceedings of the 15th European Conference on Genetic Programming, EuroGP 2012. Volume 7244 of LNCS, Malaga, Spain, Springer Verlag, 2012. details

  4. 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 of LNCS, Turin, Italy, Springer Verlag, 2011. details

  5. Anna Isabel Esparcia-Alcazar and Aniko Ekart and Sara Silva and Stephen Dignum and A. Sima Uyar editors, Proceedings of the 13th European Conference on Genetic Programming, EuroGP 2010. Volume 6021 of LNCS, Istanbul, Springer, 2010. details

Genetic Programming conference papers by Sara Silva

  1. Joao Eduardo Batista and Adam Kotaro Pindur and Hitoshi Iba and Sara Silva. Measuring Structural Complexity of GP Models for Feature Engineering over the Generations. In Bing Xue editor, 2024 IEEE Congress on Evolutionary Computation (CEC), Yokohama, Japan, 2024. IEEE. details

  2. Joao Eduardo Batista and Nuno Miguel Rodrigues and Leonardo Vanneschi and Sara Silva. M6GP: Multiobjective Feature Engineering. In Bing Xue editor, 2024 IEEE Congress on Evolutionary Computation (CEC), Yokohama, Japan, 2024. IEEE. details

  3. Nuno Rodrigues and Jose Almeida and Sara Silva. Performance Analysis of Self-Supervised Strategies for Standard Genetic Programming. In Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen editors, Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 627-630, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  4. Giorgia Nadizar and Fraser Garrow and Berfin Sakallioglu and Lorenzo Canonne and Sara Silva and Leonardo Vanneschi. An Investigation of Geometric Semantic GP with Linear Scaling. In Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen editors, Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 1165-1174, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  5. Philipp Fleck and Stephan Winkler and Michael Kommenda and Sara Silva and Leonardo Vanneschi and Michael Affenzeller. Evolutionary Algorithms for Segment Optimization in Vectorial GP. In Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen editors, Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 439-442, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  6. Karina Brotto Rebuli and Mario Giacobini and Sara Silva and Leonardo Vanneschi. A Comparison of Structural Complexity Metrics for Explainable Genetic Programming. In Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen editors, Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 539-542, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  7. Joao Batista and Sara Silva. Evolving a Cloud-Robust Water Index with Genetic Programming. In Yew-Soon Ong and Abhishek Gupta editors, Proceedings of the 2022 Genetic and Evolutionary Computation Conference Companion, pages 55-56, Boston, USA, 2022. Association for Computing Machinery. details

  8. Rita T. Sousa and Sara Silva and Catia Pesquita. Explaining Protein-Protein Interaction Predictions with Genetic Programming. In A. M. Mora and A. I. Esparcia-Alcazar editors, Evostar 2022 Late breaking abstracts, pages 30-33, Madrid, 2022. details

  9. Nuno Rodrigues and Joao Batista and William La Cava and Leonardo Vanneschi and Sara Silva. SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming. In Eric Medvet and Gisele Pappa and Bing Xue editors, EuroGP 2022: Proceedings of the 25th European Conference on Genetic Programming, volume 13223, pages 68-84, Madrid, Spain, 2022. Springer Verlag. details

  10. Joao E. Batista and Sara Silva. Comparative study of classifier performance using automatic feature construction by M3GP. In Carlos A. Coello Coello and Sanaz Mostaghim editors, 2022 IEEE Congress on Evolutionary Computation (CEC), Padua, Italy, 2022. details

  11. Alcides Fonseca and Paulo Santos and Guilherme Espada and Sara Silva. Grammatical Evolution Mapping for Semantically-Constrained Genetic Programming. In Wolfgang Banzhaf and Leonardo Trujillo and Stephan Winkler and Bill Worzel editors, Genetic Programming Theory and Practice XVIII, pages 45-62, East Lansing, USA, 2021. Springer. details

  12. Leonardo Vanneschi and Mauro Castelli and Luca Manzoni and Sara Silva and Leonardo Trujillo. Is k Nearest Neighbours Regression Better than GP?. In Ting Hu and Nuno Lourenco and Eric Medvet editors, EuroGP 2020: Proceedings of the 23rd European Conference on Genetic Programming, volume 12101, pages 244-261, Seville, Spain, 2020. Springer Verlag. details

  13. Paulo Santos and Sara Silva and Alcides Fonseca. Refined Typed Genetic Programming as a User Interface for Genetic Programming. In Richard Allmendinger and Hugo Terashima Marin and Efren Mezura Montes and Thomas Bartz-Beielstein and Bogdan Filipic and Ke Tang and David Howard and Emma Hart and Gusz Eiben and Tome Eftimov and William La Cava and Boris Naujoks and Pietro Oliveto and Vanessa Volz and Thomas Weise and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Rui Wang and Ran Cheng and Guohua Wu and Miqing Li and Hisao Ishibuchi and Jonathan Fieldsend and Ozgur Akman and Khulood Alyahya and Juergen Branke and John R. Woodward and Daniel R. Tauritz and Marco Baioletti and Josu Ceberio Uribe and John McCall and Alfredo Milani and Stefan Wagner and Michael Affenzeller and Bradley Alexander and Alexander (Sandy) Brownlee and Saemundur O. Haraldsson and Markus Wagner and Nayat Sanchez-Pi and Luis Marti and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and Matthew Johns and Nick Ross and Ed Keedwell and Herman Mahmoud and David Walker and Anthony Stein and Masaya Nakata and David Paetzel and Neil Vaughan and Stephen Smith and Stefano Cagnoni and Robert M. Patton and Ivanoe De Falco and Antonio Della Cioppa and Umberto Scafuri and Ernesto Tarantino and Akira Oyama and Koji Shimoyama and Hemant Kumar Singh and Kazuhisa Chiba and Pramudita Satria Palar and Alma Rahat and Richard Everson and Handing Wang and Yaochu Jin and Erik Hemberg and Riyad Alshammari and Tokunbo Makanju and Fuijimino-shi and Ivan Zelinka and Swagatam Das and Ponnuthurai Nagaratnam and Roman Senkerik editors, Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, pages 251-252, internet, 2020. Association for Computing Machinery. details

  14. Nuno M. Rodrigues and Joao E. Batista and Sara Silva. Ensemble Genetic Programming. In Ting Hu and Nuno Lourenco and Eric Medvet editors, EuroGP 2020: Proceedings of the 23rd European Conference on Genetic Programming, volume 12101, pages 151-166, Seville, Spain, 2020. Springer Verlag. details

  15. Nuno M. Rodrigues and Sara Silva and Leonardo Vanneschi. A Study of Fitness Landscapes for Neuroevolution. In Yaochu Jin editor, 2020 IEEE Congress on Evolutionary Computation (CEC), 2020. details

  16. 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

  17. Alcides Fonseca and Paulo Santos and Sara Silva. The Usability Argument for Refinement Typed Genetic Programming. In Thomas Baeck and Mike Preuss and Andre Deutz and Hao Wang2 and Carola Doerr and Michael Emmerich and Heike Trautmann editors, 16th International Conference on Parallel Problem Solving from Nature, Part II, volume 12270, pages 18-32, Leiden, Holland, 2020. Springer. details

  18. Joao E. Batista and Sara Silva. Improving the Detection of Burnt Areas in Remote Sensing using Hyper-features Evolved by M3GP. In Yaochu Jin editor, 2020 IEEE Congress on Evolutionary Computation, CEC 2020, page paper id24404, internet, 2020. IEEE Press. details

  19. Joao E. Batista and Nuno M. Rodrigues and Sara Silva. To adapt or not to adapt, or the beauty of random settings. In Richard Allmendinger and Carlos Cotta and Carola Doerr and Pietro S. Oliveto and Thomas Weise and Ales Zamuda and Anne Auger and Dimo Brockhoff and Nikolaus Hansen and Tea Tusar and Konstantinos Varelas and David Camacho-Fernandez and Massimiliano Vasile and Annalisa Riccardi and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Ozgur Akman and Khulood Alyahya and Juergen Branke and Jonathan Fieldsend and Tinkle Chugh and Jussi Hakanen and Josu Ceberio Uribe and Valentino Santucci and Marco Baioletti and John McCall and Emma Hart and Daniel R. Tauritz and John R. Woodward and Koichi Nakayama and Chika Oshima and Stefan Wagner and Michael Affenzeller and Eneko Osaba and Javier Del Ser and Pascal Kerschke and Boris Naujoks and Vanessa Volz and Anna I Esparcia-Alcazar and Riyad Alshammari and Erik Hemberg and Tokunbo Makanju and Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Walker and Matt Johns and Nick Ross and Ed Keedwell and Masaya Nakata and Anthony Stein and Takato Tatsumi and Nadarajen Veerapen and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Stephen Smith and Stefano Cagnoni and Robert M. Patton and William La Cava and Randal Olson and Patryk Orzechowski and Ryan Urbanowicz and Akira Oyama and Koji Shimoyama and Hemant Kumar Singh and Kazuhisa Chiba and Pramudita Satria Palar and Alma Rahat and Richard Everson and Handing Wang and Yaochu Jin and Marcus Gallagher and Mike Preuss and Olivier Teytaud and Fernando Lezama and Joao Soares and Zita Vale editors, GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 336-337, Prague, Czech Republic, 2019. ACM. details

  20. Irene Azzali and Leonardo Vanneschi and Sara Silva and Illya Bakurov and Mario Giacobini. A Vectorial Approach to Genetic Programming. In Lukas Sekanina and Ting Hu and Nuno Lourenco editors, EuroGP 2019: Proceedings of the 22nd European Conference on Genetic Programming, volume 11451, pages 213-227, Leipzig, Germany, 2019. Springer Verlag. details

  21. William La Cava and Sara Silva and Kourosh Danai and Lee Spector and Leonardo Vanneschi and Jason H. Moore. A multidimensional genetic programming approach for identifying epsistatic gene interactions. In Carlos Cotta and Tapabrata Ray and Hisao Ishibuchi and Shigeru Obayashi and Bogdan Filipic and Thomas Bartz-Beielstein and Grant Dick and Masaharu Munetomo and Silvino Fernandez Alzueta and Thomas Stuetzle and Pablo Valledor Pellicer and Manuel Lopez-Ibanez and Daniel R. Tauritz and Pietro S. Oliveto and Thomas Weise and Borys Wrobel and Ales Zamuda and Anne Auger and Julien Bect and Dimo Brockhoff and Nikolaus Hansen and Rodolphe Le Riche and Victor Picheny and Bilel Derbel and Ke Li and Hui Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Stephane Doncieux and Richard Duro and Joshua Auerbach and Harold de Vladar and Antonio J. Fernandez-Leiva and JJ Merelo and Pedro A. Castillo-Valdivieso and David Camacho-Fernandez and Francisco Chavez de la O and Ozgur Akman and Khulood Alyahya and Juergen Branke and Kevin Doherty and Jonathan Fieldsend and Giuseppe Carlo Marano and Nikos D. Lagaros and Koichi Nakayama and Chika Oshima and Stefan Wagner and Michael Affenzeller and Boris Naujoks and Vanessa Volz and Tea Tusar and Pascal Kerschke and Riyad Alshammari and Tokunbo Makanju and Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and John R. Woodward and Shin Yoo and John McCall and Nayat Sanchez-Pi and Luis Marti and Danilo Vasconcellos and Masaya Nakata and Anthony Stein and Nadarajen Veerapen and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and William La Cava and Randal Olson and Patryk Orzechowski and Ryan Urbanowicz and Ivanoe De Falco and Antonio Della Cioppa and Ernesto Tarantino and Umberto Scafuri and P. G. M. Baltus and Giovanni Iacca and Ahmed Hallawa and Anil Yaman and Alma Rahat and Handing Wang and Yaochu Jin and David Walker and Richard Everson and Akira Oyama and Koji Shimoyama and Hemant Kumar and Kazuhisa Chiba and Pramudita Satria Palar editors, GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 23-24, Kyoto, Japan, 2018. ACM. details

  22. Leonardo Vanneschi and Mauro Castelli and Ivo Goncalves and Luca Manzoni and Sara Silva. Geometric semantic genetic programming for biomedical applications: A state of the art upgrade. In Jose A. Lozano editor, 2017 IEEE Congress on Evolutionary Computation (CEC), pages 177-184, Donostia, San Sebastian, Spain, 2017. IEEE. details

  23. Leonardo Vanneschi and Mauro Castelli and Luca Manzoni and Krzysztof Krawiec and Alberto Moraglio and Sara Silva and Ivo Goncalves. PSXO: Population-wide Semantic Crossover. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 257-258, Berlin, Germany, 2017. ACM. details

  24. 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

  25. William La Cava and Sara Silva and Leonardo Vanneschi and Lee Spector and Jason Moore. Genetic Programming Representations for Multi-dimensional Feature Learning in Biomedical Classification. In Giovanni Squillero editor, 20th European Conference on the Applications of Evolutionary Computation, volume 10199, pages 158-173, Amsterdam, 2017. Springer. details

  26. Ivo Goncalves and Sara Silva and Carlos M. Fonseca and Mauro Castelli. Unsure when to Stop?: Ask Your Semantic Neighbors. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 929-936, Berlin, Germany, 2017. ACM. details

  27. Mauro Castelli and Luca Manzoni and Ivo Goncalves and Leonardo Vanneschi and Leonardo Trujillo and Sara Silva. An Analysis of Geometric Semantic Crossover: A Computational Geometry Approach. In Proceedings of the 8th International Joint Conference on Computational Intelligence, IJCCI (ECTA) 2016, pages 201-208, 2016. Scitepress. details

  28. 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

  29. Leonardo Trujillo and Luis Munoz and Edgar Galvan-Lopez and Sara Silva. neat Genetic Programming: Controlling Bloat Naturally. In Benjamin Doerr and 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 2016 Hot of the Press, page hop104, Denver, USA, 2016. ACM. details

  30. Ivo Goncalves and Sara Silva and Carlos M. Fonseca and Mauro Castelli. Arbitrarily Close Alignments in the Error Space: a Geometric Semantic Genetic Programming Approach. 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 99-100, Denver, USA, 2016. ACM. details

  31. S. Beretta and M. Castelli and Yuliana Martinez and Luis Munoz and Sara Silva and Leonardo Trujillo and Luciano Milanesi and Ivan Merelli. A Machine Learning Approach for the Integration of miRNA-Target Predictions. In 2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), pages 528-534, 2016. details

  32. Ivo Goncalves and Sara Silva and Carlos M. Fonseca. Semantic Learning Machine: A Feedforward Neural Network Construction Algorithm Inspired by Geometric Semantic Genetic Programming. In Francisco C. Pereira and Penousal Machado and Ernesto Costa and Amilcar Cardoso editors, Progress in Artificial Intelligence - 17th Portuguese Conference on Artificial Intelligence, EPIA 2015, volume 9273, pages 280-285, Coimbra, Portugal, 2015. Springer. details

  33. 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. details

  34. Luis Munoz and Sara Silva and Leonardo Trujillo. M3GP: Multiclass Classification with GP. In Penousal Machado and Malcolm I. Heywood and James McDermott and Mauro Castelli and Pablo Garcia-Sanchez and Paolo Burelli and Sebastian Risi and Kevin Sim editors, 18th European Conference on Genetic Programming, volume 9025, pages 78-91, Copenhagen, 2015. Springer. details

  35. Ivo Goncalves and Sara Silva and Carlos M. Fonseca. On the Generalization Ability of Geometric Semantic Genetic Programming. In Penousal Machado and Malcolm I. Heywood and James McDermott and Mauro Castelli and Pablo Garcia-Sanchez and Paolo Burelli and Sebastian Risi and Kevin Sim editors, 18th European Conference on Genetic Programming, volume 9025, pages 41-52, Copenhagen, 2015. Springer. details

  36. 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

  37. Stefano Ruberto and Leonardo Vanneschi and Mauro Castelli and Sara Silva. ESAGP -- A Semantic GP Framework Based on Alignment in the Error Space. 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 150-161, Granada, Spain, 2014. Springer. details

  38. 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. details

  39. Mauro Castelli and Luca Manzoni and Sara Silva and Leonardo Vanneschi. Self-tuning Geometric Semantic GP. In Colin Johnson and Krzysztof Krawiec and Alberto Moraglio and Michael O'Neill editors, Semantic Methods in Genetic Programming, Ljubljana, Slovenia, 2014. Workshop at Parallel Problem Solving from Nature 2014 conference. details

  40. Mauro Castelli and Luca Manzoni and Sara Silva and Leonardo Vanneschi. The Influence of Population Size on Geometric Semantic GP. In Colin Johnson and Krzysztof Krawiec and Alberto Moraglio and Michael O'Neill editors, Semantic Methods in Genetic Programming, Ljubljana, Slovenia, 2014. Workshop at Parallel Problem Solving from Nature 2014 conference. details

  41. Mauro Castelli and Leonardo Vanneschi and Sara Silva and Stefano Ruberto. How to Exploit Alignment in the Error Space: Two Different GP Models. In Rick Riolo and William P. Worzel and Mark Kotanchek editors, Genetic Programming Theory and Practice XII, pages 133-148, Ann Arbor, USA, 2014. Springer. details

  42. Leonardo Vanneschi and Mauro Castelli and Luca Manzoni and Sara Silva. A New Implementation of Geometric Semantic GP and its Application to Problems in Pharmacokinetics. In Krzysztof Krawiec and Alberto Moraglio and Ting Hu and A. Sima Uyar and Bin Hu editors, Proceedings of the 16th European Conference on Genetic Programming, EuroGP 2013, volume 7831, pages 205-216, Vienna, Austria, 2013. Springer Verlag. details

  43. Ivo Goncalves and Sara Silva. Balancing Learning and Overfitting in Genetic Programming with Interleaved Sampling of Training data. In Krzysztof Krawiec and Alberto Moraglio and Ting Hu and A. Sima Uyar and Bin Hu editors, Proceedings of the 16th European Conference on Genetic Programming, EuroGP 2013, volume 7831, pages 73-84, Vienna, Austria, 2013. Springer Verlag. details

  44. 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. details

  45. Mauro Castelli and Sara Silva and Leonardo Vanneschi and Ana Cabral and Maria J. Vasconcelos and Luis Catarino and Joao M. B. Carreiras. Land Cover/Land Use Multiclass Classification Using GP with Geometric Semantic Operators. 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 334-343, Vienna, 2013. Springer Verlag. details

  46. Mauro Castelli and Davide Castaldi and Ilaria Giordani and Sara Silva and Leonardo Vanneschi and Francesco Archetti and Daniele Maccagnola. An Efficient Implementation of Geometric Semantic Genetic Programming for Anticoagulation Level Prediction in Pharmacogenetics. In Luis Correia and Luis Paulo Reis and Jose Cascalho editors, Proceedings of the 16th Portuguese Conference on Artificial Intelligence, EPIA 2013, volume 8154, pages 78-89, Angra do Heroismo, Azores, Portugal, 2013. Springer. details

  47. Ivo Goncalves and Sara Silva and Joana B. Melo and Joao M. B. Carreiras. Random Sampling Technique for Overfitting Control in Genetic Programming. In Alberto Moraglio and Sara Silva and Krzysztof Krawiec and Penousal Machado and Carlos Cotta editors, Proceedings of the 15th European Conference on Genetic Programming, EuroGP 2012, volume 7244, pages 218-229, Malaga, Spain, 2012. Springer Verlag. details

  48. 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

  49. Ivo Goncalves and Sara Silva. Experiments on Controlling Overfitting in Genetic Programming. In Local proceedings of the 15th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence, pages 152-166, 2011. details

  50. Mauro Castelli and Luca Manzoni and Sara Silva and Leonardo Vanneschi. A Quantitative Study of Learning and Generalization 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 25-36, Turin, Italy, 2011. Springer Verlag. details

  51. Sara Silva. Handling bloat in GP. In Darrell Whitley editor, GECCO 2011 Tutorials, pages 1481-1508, Dublin, Ireland, 2011. ACM. details

  52. Sara Silva. Reassembling operator equalisation: a secret revealed. 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 1395-1402, Dublin, Ireland, 2011. ACM. details

  53. Alberto Moraglio and Sara Silva. Geometric nelder-mead algorithm on the space of genetic programs. 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 1307-1314, Dublin, Ireland, 2011. ACM. details

  54. Leonardo Vanneschi and Mauro Castelli and Sara Silva. Measuring bloat, overfitting and functional complexity in 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 877-884, Portland, Oregon, USA, 2010. ACM. details

  55. Sara Silva. Handling bloat in GP. In Una-May O'Reilly editor, GECCO 2010 Specialized techniques and applications tutorials, pages 2769-2794, Portland, Oregon, USA, 2010. ACM. details

  56. Sara Silva and Leonardo Vanneschi. State-of-the-Art Genetic Programming for Predicting Human Oral Bioavailability of Drugs. In Miguel Rocha and Florentino Riverola and Hagit Shatkay and Juan Corchado editors, 4th International Workshop on Practical Applications of Computational Biology and Bioinformatics 2010 (IWPACBB 2010), volume 74, pages 165-173, Guimar\~aes, Portugal, 2010. Springer. details

  57. Sara Silva and Maria J. Vasconcelos and Joana B. Melo. Bloat Free Genetic Programming versus Classification Trees for Identification of Burned Areas in Satellite Imagery. In Cecilia Di Chio and Stefano Cagnoni and Carlos Cotta and Marc Ebner and Aniko Ekart and Anna I. Esparcia-Alcazar and Chi-Keong Goh and Juan J. Merelo and Ferrante Neri and Mike Preuss and Julian Togelius and Georgios N. Yannakakis editors, EvoIASP, volume 6024, pages 272-281, Istanbul, 2010. Springer. details

  58. Alberto Moraglio and Sara Silva. Geometric Differential Evolution on the Space of Genetic Programs. In Anna Isabel Esparcia-Alcazar and Aniko Ekart and Sara Silva and Stephen Dignum and A. Sima Uyar editors, Proceedings of the 13th European Conference on Genetic Programming, EuroGP 2010, volume 6021, pages 171-183, Istanbul, 2010. Springer. Best paper. details

  59. Marco Lotz and Sara Silva. Application of Genetic Programming Classification in an Industrial Process Resulting in Greenhouse Gas Emission Reductions. In Cecilia Di Chio and Anthony Brabazon and Gianni A. Di Caro and Marc Ebner and Muddassar Farooq and Andreas Fink and Jorn Grahl and Gary Greenfield and Penousal Machado and Michael O'Neill and Ernesto Tarantino and Neil Urquhart editors, EvoENVIRONMENT, volume 6025, pages 131-140, Istanbul, 2010. Springer. details

  60. Mauro Castelli and Luca Manzoni and Sara Silva and Leonardo Vanneschi. A comparison of the generalization ability of different genetic programming frameworks. In IEEE Congress on Evolutionary Computation (CEC 2010), Barcelona, Spain, 2010. IEEE Press. details

  61. Sara Silva and Stephen Dignum. Extending Operator Equalisation: Fitness Based Self Adaptive Length Distribution for Bloat Free GP. In Leonardo Vanneschi and Steven Gustafson and Alberto Moraglio and Ivanoe De Falco and Marc Ebner editors, Proceedings of the 12th European Conference on Genetic Programming, EuroGP 2009, volume 5481, pages 159-170, Tuebingen, 2009. Springer. details

  62. Sara Silva and Leonardo Vanneschi. Operator equalisation, bloat and overfitting: a study on human oral bioavailability prediction. In Guenther Raidl and Franz Rothlauf and Giovanni Squillero and Rolf Drechsler and Thomas Stuetzle and Mauro Birattari and Clare Bates Congdon and Martin Middendorf and Christian Blum and Carlos Cotta and Peter Bosman and Joern Grahl and Joshua Knowles and David Corne and Hans-Georg Beyer and Ken Stanley and Julian F. Miller and Jano van Hemert and Tom Lenaerts and Marc Ebner and Jaume Bacardit and Michael O'Neill and Massimiliano Di Penta and Benjamin Doerr and Thomas Jansen and Riccardo Poli and Enrique Alba editors, GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation, pages 1115-1122, Montreal, 2009. ACM. details

  63. Leonardo Vanneschi and Sara Silva. Using Operator Equalisation for Prediction of Drug Toxicity with Genetic Programming. In Luis Seabra Lopes and Nuno Lau and Pedro Mariano and Luis Mateus Rocha editors, Progress in Artificial Intelligence, 14th Portuguese Conference on Artificial Intelligence, EPIA 2009, volume 5816, pages 65-76, Aveiro, Portugal, 2009. Springer. details

  64. Sara Silva and Yao-Ting Tseng. Classification of Seafloor Habitats Using Genetic Programming. In Mario Giacobini and Anthony Brabazon and Stefano Cagnoni and Gianni Di Caro and Rolf Drechsler and Anik\'o Ek\'art and Anna Esparcia-Alc\'azar and Muddassar Farooq and Andreas Fink and Jon McCormack and Michael O'Neill and Juan Romero and Franz Rothlauf and Giovanni Squillero and Sima Uyar and Shengxiang Yang editors, Proceedings of EvoCOMNET, EvoFIN, EvoHOT, EvoIASP, EvoMUSART, EvoNUM, EvoSTOC, and EvoTransLog, Applications of Evolutionary Computing, EvoWorkshops, volume 4974, pages 315-324, Naples, 2008. Springer. details

  65. Sara Silva and Pedro J. N. Silva and Ernesto Costa. Resource-Limited Genetic Programming: Replacing Tree Depth Limits. In Bernardete Ribeiro and Rudof F. Albrecht and Andrej Dobnikar and David W. Pearson and Nigel C. Steele editors, Adaptive and Natural Computing Algorithms, pages 243-246, Coimbra, Portugal, 2005. Springer. details

  66. Sara Silva and Ernesto Costa. Comparing Tree Depth Limits and Resource-Limited GP. In David Corne and Zbigniew Michalewicz and Marco Dorigo and Gusz Eiben and David Fogel and Carlos Fonseca and Garrison Greenwood and Tan Kay Chen and Guenther Raidl and Ali Zalzala and Simon Lucas and Ben Paechter and Jennifier Willies and Juan J. Merelo Guervos and Eugene Eberbach and Bob McKay and Alastair Channon and Ashutosh Tiwari and L. Gwenn Volkert and Dan Ashlock and Marc Schoenauer editors, Proceedings of the 2005 IEEE Congress on Evolutionary Computation, volume 1, pages 920-927, Edinburgh, UK, 2005. IEEE Press. details

  67. Sara Silva and Yao-Ting Tseng. Classification of Seafloor Habitats using Genetic Programming. In Franz Rothlauf editor, Late breaking paper at Genetic and Evolutionary Computation Conference (GECCO'2005), Washington, D.C., USA, 2005. details

  68. Sara Silva and Ernesto Costa. Resource-limited genetic programming: the dynamic approach. In Hans-Georg Beyer and Una-May O'Reilly and Dirk V. Arnold and Wolfgang Banzhaf and Christian Blum and Eric W. Bonabeau and Erick Cantu-Paz and Dipankar Dasgupta and Kalyanmoy Deb and James A. Foster and Edwin D. de Jong and Hod Lipson and Xavier Llora and Spiros Mancoridis and Martin Pelikan and Guenther R. Raidl and Terence Soule and Andy M. Tyrrell and Jean-Paul Watson and Eckart Zitzler editors, GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, volume 2, pages 1673-1680, Washington DC, USA, 2005. ACM Press. details

  69. Sara Silva and Ernesto Costa. Dynamic Limits for Bloat Control: Variations on Size and Depth. In Kalyanmoy Deb and Riccardo Poli and Wolfgang Banzhaf and Hans-Georg Beyer and Edmund Burke and Paul Darwen and Dipankar Dasgupta and Dario Floreano and James Foster and Mark Harman and Owen Holland and Pier Luca Lanzi and Lee Spector and Andrea Tettamanzi and Dirk Thierens and Andy Tyrrell editors, Genetic and Evolutionary Computation -- GECCO-2004, Part II, volume 3103, pages 666-677, Seattle, WA, USA, 2004. Springer-Verlag. details

  70. Sara Silva and Jonas Almeida. Dynamic Maximum Tree Depth. In E. Cant\'u-Paz and J. A. Foster and K. Deb and D. Davis and R. Roy and U.-M. O'Reilly and H.-G. Beyer and R. Standish and G. Kendall and S. Wilson and M. Harman and J. Wegener and D. Dasgupta and M. A. Potter and A. C. Schultz and K. Dowsland and N. Jonoska and J. Miller editors, Genetic and Evolutionary Computation -- GECCO-2003, volume 2724, pages 1776-1787, Chicago, 2003. Springer-Verlag. details

Genetic Programming book chapters by Sara Silva