Genetic Programming Bibliography entries for Mauro Castelli

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GP coauthors/coeditors: Fabio Anselmi, Alberto d'Onofrio, Luca Manzoni, Luca Mariot, Martina Saletta, Francesco Archetti, Ilaria Giordani, Leonardo Vanneschi, Illya Bakurov, Maria Joao Freitas, Francesco R Fontanella, Marco Buzzelli, Raimondo Schettini, Olivier Gau, Alessandra Scotto di Freca, Jose Manuel Munoz Contreras, Nuno Miguel Rodrigues Domingos, Sara Silva, Leonardo Trujillo, Alberto Bartoli, Eric Medvet, Stefano Beretta, Yuliana Martinez, Luis Munoz Delgado, Luciano Milanesi, Ivan Merelli, Ales Popovic, Ana Isabel Rosa Cabral, Maria Jose Vasconcelos, Luis Catarino, Joao Manuel de Brito Carreiras, Davide Castaldi, Daniele Maccagnola, Stefano Ruberto, Roberto Henriques, Matteo De Felice, Emigdio Z-Flores, Pierrick Legrand, Ivo Goncalves, Raul Sormani, James McDermott, Lukas Sekanina, Mengjie Zhang, Ales Groznik, Giuliamaria Menara, Gloria Pietropolli, Andrea De Lorenzo, Bing Xue, Josue Enriquez-Zarate, Salvador de Lara, Carlos M Fonseca, Marta Seca, Carlos Antonio Goribar Jimenez, Yazmin Maldonado Robles, Petr Hajek, Malcolm Heywood, Ernesto Costa, Vijay Ingalalli, Domagoj Jakobovic, Stjepan Picek, Paulo Lapa, Leonardo Rundo, Penousal Machado, Pablo Garcia-Sanchez, Paolo Burelli, Sebastian Risi, Kevin Sim, Francesco Marchetti, Federico Julian Camerota Verdu, Edmondo Minisci, David Robert White, Sean Luke, Wojciech Jaskowski, Krzysztof Krawiec, Robin Harper, Kenneth De Jong, Una-May O'Reilly, Gabriel Kronberger, Patryk Orzechowski, Roman Tobias Kalkreuth, Marco Virgolin, Peter A N Bosman, Tea Tusar, Miguel Nicolau, Juan Julian Merelo, Victor M Rivas Santos, Alessia Paoletti, Alessandro Re, Frederico J J B Santos, Susana de Almeida Mendes Vinga Martins, Joana B Melo, Jose Miguel Ranhada Vellez Caldas, Perla Sarahi Juarez-Smith, Oliver Schuetze, Daniel Eduardo Hernandez Morales, Juan Jose Tapia Armenta, Henrique Vaz, Victor Jose de Almeida e Sousa Lobo, Paulo Urbano, Alberto Moraglio, Kristen M Scott, David Micha Horn, Brian W Goldman,

Genetic Programming Articles by Mauro Castelli

  1. Francesco Marchetti and Gloria Pietropolli and Federico Julian Camerota Verdu and Mauro Castelli and Edmondo Minisci. Automatic design of interpretable control laws through parametrized Genetic Programming with adjoint state method gradient evaluation. Applied Soft Computing, 2024. details

  2. 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

  3. Mauro Castelli. Commentary for the GPEM peer commentary special section on W. B. Langdon's ``Jaws 30''. Genetic Programming and Evolvable Machines, 24(2):Article number: 20, 2023. Special Issue: Thirtieth Anniversary of Genetic Programming: On the Programming of Computers by Means of Natural Selection. details

  4. Frederico J. J. B. Santos and Ivo Goncalves and Mauro Castelli. Neuroevolution with box mutation: An adaptive and modular framework for evolving deep neural networks. Applied Soft Computing, 147:110767, 2023. details

  5. Gloria Pietropolli and Luca Manzoni and Alessia Paoletti and Mauro Castelli. On the hybridization of geometric semantic GP with gradient-based optimizers. Genetic Programming and Evolvable Machines, 24(2):Article number: 16, 2023. Online first. details

  6. Gloria Pietropolli and Giuliamaria Menara and Mauro Castelli. A Genetic Programming Based Heuristic to Simplify Rugged Landscapes Exploration. Emerging Science Journal, 7(4) 2023. details

  7. Illya Bakurov and Marco Buzzelli and Raimondo Schettini and Mauro Castelli and Leonardo Vanneschi. Full-Reference Image Quality Expression via Genetic Programming. IEEE Trans. Image Process., 32:1458-1473, 2023. details

  8. Illya Bakurov and Marco Buzzelli and Raimondo Schettini and Mauro Castelli and Leonardo Vanneschi. Semantic segmentation network stacking with genetic programming. Genetic Programming and Evolvable Machines, 24(2):Article number: 15, 2023. Special Issue on Highlights of Genetic Programming 2022 EventsOnline first. details

  9. Mauro Castelli and Luca Manzoni and Luca Mariot and Giuliamaria Menara and Gloria Pietropolli. The Effect of Multi-Generational Selection in Geometric Semantic Genetic Programming. Applied Sciences, 12(10):Article No. 4836, 2022. details

  10. Leonardo Trujillo and Jose Manuel Munoz Contreras and Daniel E. Hernandez and Mauro Castelli and Juan J. Tapia. GSGP-CUDA - A CUDA framework for Geometric Semantic Genetic Programming. SoftwareX, 18:101085, 2022. details

  11. James McDermott and Gabriel Kronberger and Patryk Orzechowski and Leonardo Vanneschi and Luca Manzoni and Roman Kalkreuth and Mauro Castelli. Genetic Programming Benchmarks: Looking Back and Looking Forward. SIGEVOlution newsletter of the ACM Special Interest Group on Genetic and Evolutionary Computation, 15(3) 2022. details

  12. I. Bakurov and M. Castelli and F. Fontanella and A. Scotto di Freca and L. Vanneschi. A novel binary classification approach based on geometric semantic genetic programming. Swarm and Evolutionary Computation, 69:101028, 2022. details

  13. Leonardo Vanneschi and Mauro Castelli. Soft target and functional complexity reduction: A hybrid regularization method for genetic programming. Expert Systems with Applications, 177:114929, 2021. details

  14. Illya Bakurov and Marco Buzzelli and Mauro Castelli and Leonardo Vanneschi and Raimondo Schettini. General Purpose Optimization Library (GPOL): A Flexible and Efficient Multi-Purpose Optimization Library in Python. Applied Sciences, 11(11):Article-number 4774, 2021. details

  15. Illya Bakurov and Mauro Castelli and Olivier Gau and Francesco Fontanella and Leonardo Vanneschi. Genetic programming for stacked generalization. Swarm and Evolutionary Computation, 65:100913, 2021. details

  16. Mauro Castelli and Ales Groznik and Ales Popovic. Forecasting Electricity Prices: A Machine Learning Approach. Algorithms, 13(5) 2020. details

  17. Luca Manzoni and Alberto Bartoli and Mauro Castelli and Ivo Goncalves and Eric Medvet. Specializing Context-Free Grammars With a (1 + 1)-EA. IEEE Transactions on Evolutionary Computation, 24(5):960-973, 2020. details

  18. Andrea De Lorenzo and Alberto Bartoli and Mauro Castelli and Eric Medvet and Bing Xue. Genetic programming in the twenty-first century: a bibliometric and content-based analysis from both sides of the fence. Genetic Programming and Evolvable Machines, 21(1-2):181-204, 2020. Twentieth Anniversary Issue. details

  19. Alberto Bartoli and Mauro Castelli and Eric Medvet. Weighted Hierarchical Grammatical Evolution. IEEE Transactions on Cybernetics, 50(2):476-488, 2020. details

  20. Leonardo Vanneschi and Mauro Castelli and Kristen Scott and Leonardo Trujillo. Alignment-based genetic programming for real life applications. Swarm and Evolutionary Computation, 44:840-851, 2019. details

  21. Stefano Ruberto and Leonardo Vanneschi and Mauro Castelli. Genetic programming with semantic equivalence classes. Swarm and Evolutionary Computation, 44:453-469, 2019. details

  22. 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

  23. Mauro Castelli and Luca Manzoni. GSGP-C++ 2.0: A geometric semantic genetic programming framework. SoftwareX, 10:100313, 2019. details

  24. Leonardo Vanneschi and Mauro Castelli and Kristen Scott and Ales Popovic. Accurate High Performance Concrete Prediction with an Alignment-Based Genetic Programming System. International Journal of Concrete Structures and Materials, 12(1) 2018. details

  25. Leonardo Vanneschi and David Micha Horn and Mauro Castelli and Ales Popovic. An artificial intelligence system for predicting customer default in e-commerce. Expert Systems with Applications, 104:1-21, 2018. details

  26. Eric Medvet and Marco Virgolin and Mauro Castelli and Peter A. N. Bosman and Ivo Goncalves and Tea Tusar. Unveiling evolutionary algorithm representation with DU maps. Genetic Programming and Evolvable Machines, 19(3):351-389, 2018. Special issue on genetic programming, evolutionary computation and visualization. details

  27. Petr Hajek and Roberto Henriques and Mauro Castelli and Leonardo Vanneschi. Forecasting performance of regional innovation systems using semantic-based genetic programming with local search optimizer. Computer \& Operations Research, 2018. details

  28. Stefano Beretta and Mauro Castelli and Luis Munoz and Leonardo Trujillo and Yuliana Martinez and Ales Popovic and Luciano Milanesi and Ivan Merelli. A Scalable Genetic Programming Approach to Integrate miRNA-Target Predictions: Comparing Different Parallel Implementations of M3GP. Complexity, 2018:Article ID 4963139, 2018. details

  29. Mauro Castelli and Leonardo Vanneschi and Leonardo Trujillo and Ales Popovic. Stock index return forecasting: semantics-based genetic programming with local search optimiser. International Journal of Bio-Inspired Computation, 10(3):159-171, 2017. details

  30. Mauro Castelli and Raul Sormani and Leonardo Trujillo and Ales Popovic. Predicting per capita violent crimes in urban areas: an artificial intelligence approach. Journal of Ambient Intelligence and Humanized Computing, 8(1):29-36, 2017. details

  31. Mauro Castelli and Ivo Goncalves and Leonardo Trujillo and Ales Popovic. An evolutionary system for ozone concentration forecasting. Information Systems Frontiers, 19(5):1123-1132, 2017. details

  32. Josue Enriquez-Zarate and Leonardo Trujillo and Salvador de Lara and Mauro Castelli and Emigdio Z-Flores and Luis Munoz and Ales Popovic. Automatic modeling of a gas turbine using genetic programming: An experimental study. Applied Soft Computing, 50:212-222, 2017. details

  33. 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

  34. Mauro Castelli and Luca Manzoni and Leonardo Vanneschi and Ales Popovic. An expert system for extracting knowledge from customers' reviews: The case of Amazon.com, Inc.. Expert Systems with Applications, 84:117-126, 2017. details

  35. Mauro Castelli and Leonardo Trujillo and Ivo Goncalves and Ales Popovic. An evolutionary system for the prediction of high performance concrete strength based on semantic genetic programming. Computers and Concrete, 19(6):651-658, 2017. details

  36. Mauro Castelli and Leonardo Vanneschi and Luca Manzoni and Ales Popovic. Semantic genetic programming for fast and accurate data knowledge discovery. Swarm and Evolutionary Computation, 26 2016. details

  37. Mauro Castelli and Leonardo Vanneschi and Ales Popovic. Parameter evaluation of geometric semantic genetic programming in pharmacokinetics. Int. J. of Bio-Inspired Computation, 8(1):42-50, 2016. details

  38. 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

  39. Mauro Castelli and Leonardo Vanneschi and Ales Popovic. Controlling Individuals Growth in Semantic Genetic Programming through Elitist Replacement. Computational Intelligence and Neuroscience, 2016. details

  40. Mauro Castelli and Leonardo Trujillo and Leonardo Vanneschi and Ales Popovic. Prediction of relative position of CT slices using a computational intelligence system. Applied Soft Computing, 46:537-542, 2016. details

  41. Mauro Castelli and Roberto Henriques and Leonardo Vanneschi. A geometric semantic genetic programming system for the electoral redistricting problem. Neurocomputing, 154:200-207, 2015. details

  42. Mauro Castelli and Leonardo Vanneschi and Ales Popovic. Predicting Burned Areas of Forest Fires: an Artificial Intelligence Approach. Fire Ecology, 11(1):106-118, 2015. details

  43. Mauro Castelli and Leonardo Vanneschi and Matteo De Felice. Forecasting short-term electricity consumption using a semantics-based genetic programming framework: The South Italy case. Energy Economics, 47:37-41, 2015. details

  44. Mauro Castelli and Leonardo Trujillo and Leonardo Vanneschi and Ales Popovic. Prediction of energy performance of residential buildings: a genetic programming approach. Energy and Buildings, 102(1):67-74, 2015. details

  45. Mauro Castelli and Leonardo Vanneschi and Leonardo Trujillo. Energy Consumption Forecasting using Semantics Based Genetic Programming with Local Search Optimizer. Computational Intelligence and Neuroscience, 2015 2015. details

  46. 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

  47. 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

  48. 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

  49. 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

  50. 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

  51. 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

  52. David R. White and James McDermott and Mauro Castelli and Luca Manzoni and Brian W. Goldman and Gabriel Kronberger and Wojciech Jaskowski and Una-May O'Reilly and Sean Luke. Better GP benchmarks: community survey results and proposals. Genetic Programming and Evolvable Machines, 14(1):3-29, 2013. details

  53. Luca Manzoni and Mauro Castelli and Leonardo Vanneschi. A new genetic programming framework based on reaction systems. Genetic Programming and Evolvable Machines, 14(4):457-471, 2013. details

  54. 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

  55. Leonardo Vanneschi and Francesco Archetti and Mauro Castelli and Ilaria Giordani. Classification of Oncologic Data with Genetic Programming. Journal of Artificial Evolution and Applications, 2009 2009. details

Genetic Programming PhD doctoral thesis Mauro Castelli

Genetic Programming Conference proceedings edited by Mauro Castelli

  1. Mauro Castelli and Lukas Sekanina and Mengjie Zhang editors, EuroGP 2018: Proceedings of the 21st European Conference on Genetic Programming. Volume 10781 of LNCS, Parma, Italy, Springer Verlag, 2018. details

  2. Mauro Castelli and James McDermott and Lukas Sekanina editors, EuroGP 2017: Proceedings of the 20th European Conference on Genetic Programming. Volume 10196 of LNCS, Amsterdam, Springer Verlag, 2017. details

  3. Malcolm I. Heywood and James McDermott and Mauro Castelli and Ernesto Costa editors, Proceedings of the 19th European Conference on Genetic Programming, EuroGP 2016. Volume 9594 of LNCS, Porto, Portugal, Springer Verlag, 2016. details

  4. 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, Proceedings of the 18th European Conference on Genetic Programming, EuroGP 2015. Volume 9025 of LNCS, Copenhagen, Springer Verlag, 2015. details

  5. 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, Proceedings of the 17th European Conference on Genetic Programming, EuroGP 2014. Volume 8599 of LNCS, Granada, Spain, Springer Verlag, 2014. details

Genetic Programming conference papers by Mauro Castelli

  1. Francesco Marchetti and Mauro Castelli and Illya Bakurov and Leonardo Vanneschi. Full Inclusive Genetic Programming. In Bing Xue editor, 2024 IEEE Congress on Evolutionary Computation (CEC), Yokohama, Japan, 2024. IEEE. details

  2. Gloria Pietropolli and Federico Julian Camerota Verdu and Luca Manzoni and Mauro Castelli. Parametrizing GP Trees for Better Symbolic Regression Performance through Gradient Descent. 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 619-622, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  3. Illya Bakurov and Marco Buzzelli and Mauro Castelli and Raimondo Schettini and Leonardo Vanneschi. Genetic Programming for Structural Similarity Design at Multiple Spatial Scales. In Alma Rahat and Jonathan Fieldsend and Markus Wagner and Sara Tari and Nelishia Pillay and Irene Moser and Aldeida Aleti and Ales Zamuda and Ahmed Kheiri and Erik Hemberg and Christopher Cleghorn and Chao-li Sun and Georgios Yannakakis and Nicolas Bredeche and Gabriela Ochoa and Bilel Derbel and Gisele L. Pappa and Sebastian Risi and Laetitia Jourdan and Hiroyuki Sato and Petr Posik and Ofer Shir and Renato Tinos and John Woodward and Malcolm Heywood and Elizabeth Wanner and Leonardo Trujillo and Domagoj Jakobovic and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Inmaculada Medina-Bulo and Slim Bechikh and Andrew M. Sutton and Pietro Simone Oliveto editors, Proceedings of the 2022 Genetic and Evolutionary Computation Conference, pages 911-919, Boston, USA, 2022. Association for Computing Machinery. details

  4. Gloria Pietropolli and Luca Manzoni and Alessia Paoletti and Mauro Castelli. Combining Geometric Semantic GP with Gradient-descent Optimization. In Eric Medvet and Gisele Pappa and Bing Xue editors, EuroGP 2022: Proceedings of the 25th European Conference on Genetic Programming, volume 13223, pages 17-32, Madrid, Spain, 2022. Springer Verlag. details

  5. Domagoj Jakobovic and Luca Manzoni and Luca Mariot and Stjepan Picek and Mauro Castelli. CoInGP: Convolutional Inpainting with Genetic Programming. In Francisco Chicano and Alberto Tonda and Krzysztof Krawiec and Marde Helbig and Christopher W. Cleghorn and Dennis G. Wilson and Georgios Yannakakis and Luis Paquete and Gabriela Ochoa and Jaume Bacardit and Christian Gagne and Sanaz Mostaghim and Laetitia Jourdan and Oliver Schuetze and Petr Posik and Carlos Segura and Renato Tinos and Carlos Cotta and Malcolm Heywood and Mengjie Zhang and Leonardo Trujillo and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Fuyuki Ishikawa and Inmaculada Medina-Bulo and Frank Neumann and Andrew M. Sutton editors, Proceedings of the 2021 Genetic and Evolutionary Computation Conference, pages 795-803, internet, 2021. Association for Computing Machinery. details

  6. 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

  7. Luca Manzoni and Domagoj Jakobovic and Luca Mariot and Stjepan Picek and Mauro Castelli. Towards an Evolutionary-Based Approach for Natural Language Processing. 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 985-993, internet, 2020. Association for Computing Machinery. details

  8. Paulo Lapa and Ivo Goncalves and Leonardo Rundo and Mauro Castelli. Semantic learning machine improves the CNN-Based detection of prostate cancer in non-contrast-enhanced MRI. 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 1837-1845, Prague, Czech Republic, 2019. ACM. details

  9. Paulo Lapa and Ivo Goncalves and Leonardo Rundo and Mauro Castelli. Enhancing classification performance of convolutional neural networks for prostate cancer detection on magnetic resonance images: a study with the semantic learning machine. 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 381-382, Prague, Czech Republic, 2019. ACM. details

  10. Ivo Goncalves and Marta Seca and Mauro Castelli. Explorations of the Semantic Learning Machine Neuroevolution Algorithm: Dynamic Training Data Use, Ensemble Construction Methods, and Deep Learning Perspectives. In Wolfgang Banzhaf and Erik Goodman and Leigh Sheneman and Leonardo Trujillo and Bill Worzel editors, Genetic Programming Theory and Practice XVII, pages 39-62, East Lansing, MI, USA, 2019. Springer. details

  11. Alessandro Re and Leonardo Vanneschi and Mauro Castelli. Universal Learning Machine with Genetic Programming. In Juan Julian Merelo Guervos and Jonathan M. Garibaldi and Alejandro Linares-Barranco and Kurosh Madani and Kevin Warwick editors, Proceedings of the 11th International Joint Conference on Computational Intelligence, IJCCI 2019, volume 1, pages 115-122, Vienna, Austria, 2019. ScitePress. details

  12. Illya Bakurov and Mauro Castelli and Francesco Fontanella and Leonardo Vanneschi. A Regression-like Classification System for Geometric Semantic Genetic Programming. In Juan Julian Merelo Guervos and Jonathan M. Garibaldi and Alejandro Linares-Barranco and Kurosh Madani and Kevin Warwick editors, Proceedings of the 11th International Joint Conference on Computational Intelligence, IJCCI 2019, Vienna, Austria, September 17-19, 2019, pages 40-48, 2019. ScitePress. details

  13. Mauro Castelli and Luca Manzoni and Luca Mariot and Martina Saletta. Extending Local Search in Geometric Semantic Genetic Programming. In Paulo Moura Oliveira and Paulo Novais and Luis Paulo Reis editors, Progress in Artificial Intelligence - 19th EPIA Conference on Artificial Intelligence, EPIA 2019, Vila Real, Portugal, September 3-6, 2019, Proceedings, Part I, volume 11804, pages 775-787, 2019. Springer. details

  14. Illya Bakurov and Leonardo Vanneschi and Mauro Castelli and Maria Joao Freitas. Supporting Medical Decisions for Treating Rare Diseases through Genetic Programming. In Paul Kaufmann and Pedro A. Castillo editors, 22nd International Conference, EvoApplications 2019, volume 11454, pages 187-203, Leipzig, Germany, 2019. Springer Verlag. details

  15. Leonardo Vanneschi and Kristen Scott and Mauro Castelli. A Multiple Expression Alignment Framework for Genetic Programming. In Mauro Castelli and Lukas Sekanina and Mengjie Zhang and Stefano Cagnoni and Pablo Garcia-Sanchez editors, EuroGP 2018: Proceedings of the 21st European Conference on Genetic Programming, volume 10781, pages 166-183, Parma, Italy, 2018. Springer Verlag. details

  16. Mauro Castelli and Ivo Goncalves and Luca Manzoni and Leonardo Vanneschi. Pruning Techniques for Mixed Ensembles of Genetic Programming Models. In Mauro Castelli and Lukas Sekanina and Mengjie Zhang and Stefano Cagnoni and Pablo Garcia-Sanchez editors, EuroGP 2018: Proceedings of the 21st European Conference on Genetic Programming, volume 10781, pages 52-67, Parma, Italy, 2018. Springer Verlag. details

  17. 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

  18. Leonardo Vanneschi and Illya Bakurov and Mauro Castelli. An initialization technique for geometric semantic GP based on demes evolution and despeciation. In Jose A. Lozano editor, 2017 IEEE Congress on Evolutionary Computation (CEC), pages 113-120, Donostia, San Sebastian, Spain, 2017. IEEE. details

  19. Carlos Goribar-Jimenez and Yazmin Maldonado and Leonardo Trujillo and Mauro Castelli and Ivo Goncalves and Leonardo Vanneschi. Towards the development of a complete GP system on an FPGA using geometric semantic operators. In Jose A. Lozano editor, 2017 IEEE Congress on Evolutionary Computation (CEC), pages 1932-1939, Donostia, San Sebastian, Spain, 2017. IEEE. details

  20. 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

  21. 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

  22. 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

  23. 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

  24. 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

  25. 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

  26. Mauro Castelli and Matteo De Felice and Luca Manzoni and Leonardo Vanneschi. Electricity Demand Modelling with 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, Coimbra, Portugal, September 8-11, 2015. Proceedings, volume 9273, pages 213-225, 2015. Springer. details

  27. Leonardo Vanneschi and Mauro Castelli and Ernesto Costa and Alessandro Re and Henrique Vaz and Victor Lobo and Paulo Urbano. Improving Maritime Awareness with Semantic Genetic Programming and Linear Scaling: Prediction of Vessels Position Based on AIS Data. In Antonio M. Mora and Giovanni Squillero editors, 18th European Conference on the Applications of Evolutionary Computation, volume 9028, pages 732-744, Copenhagen, 2015. Springer. details

  28. 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

  29. 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

  30. 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

  31. 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

  32. 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

  33. 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

  34. 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

  35. 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

  36. 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

  37. 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

  38. Mauro Castelli and Davide Castaldi and Leonardo Vanneschi and Ilaria Giordani and Francesco Archetti and Daniele Maccagnola. An efficient implementation of geometric semantic genetic programming for anticoagulation level prediction in pharmacogenetics. In Christian Blum and Enrique Alba and Thomas Bartz-Beielstein and Daniele Loiacono and Francisco Luna and Joern Mehnen and Gabriela Ochoa and Mike Preuss and Emilia Tantar and Leonardo Vanneschi and Kent McClymont and Ed Keedwell and Emma Hart and Kevin Sim and Steven Gustafson and Ekaterina Vladislavleva and Anne Auger and Bernd Bischl and Dimo Brockhoff and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Heike Trautmann and Muhammad Iqbal and Kamran Shafi and Ryan Urbanowicz and Stefan Wagner and Michael Affenzeller and David Walker and Richard Everson and Jonathan Fieldsend and Forrest Stonedahl and William Rand and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Gisele L. Pappa and John Woodward and Jerry Swan and Krzysztof Krawiec and Alexandru-Adrian Tantar and Peter A. N. Bosman and Miguel Vega-Rodriguez and Jose M. Chaves-Gonzalez and David L. Gonzalez-Alvarez and Sergio Santander-Jimenez and Lee Spector and Maarten Keijzer and Kenneth Holladay and Tea Tusar and Boris Naujoks editors, GECCO '13 Companion: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion, pages 137-138, Amsterdam, The Netherlands, 2013. ACM. details

  39. 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

  40. James McDermott and David R. White and Sean Luke and Luca Manzoni and Mauro Castelli and Leonardo Vanneschi and Wojciech Jaskowski and Krzysztof Krawiec and Robin Harper and Kenneth De Jong and Una-May O'Reilly. Genetic programming needs better benchmarks. 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 '12: Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference, pages 791-798, Philadelphia, Pennsylvania, USA, 2012. ACM. Winner GECCO 2022 ten year impact award. details

  41. Mauro Castelli and Luca Manzoni and Leonardo Vanneschi. Parameter tuning of evolutionary reactions systems. 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 '12: Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference, pages 727-734, Philadelphia, Pennsylvania, USA, 2012. ACM. details

  42. Mauro Castelli and Luca Manzoni and Leonardo Vanneschi. Multi Objective Genetic Programming for Feature Construction in Classification Problems. In Carlos A. Coello Coello editor, 5th International Conference Learning and Intelligent Optimization (LION 2011), volume 6683, pages 503-506, Rome, Italy, 2011. Selected Papers. details

  43. 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

  44. Leonardo Vanneschi and Mauro Castelli and Luca Manzoni. The K landscapes: a tunably difficult benchmark for genetic programming. 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 1467-1474, Dublin, Ireland, 2011. ACM. details

  45. 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

  46. 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

  47. Francesco Archetti and Mauro Castelli and Ilaria Giordani and Leonardo Vanneschi. Classification of colon tumor tissues using genetic programming. In J. Roberto Serra and Marco Villani and Irene Poli editors, Artificial Life and Evolutionary Computation: Proceedings of Wivace 2008, pages 49-58, Venice, Italy, 2008. World Scientific Publishing Co.. details

Genetic Programming book chapters by Mauro Castelli

Genetic Programming other entries for Mauro Castelli

  1. Fabio Anselmi and Mauro Castelli and Alberto d'Onofrio and Luca Manzoni and Luca Mariot and Martina Saletta. Local Search, Semantics, and Genetic Programming: a Global Analysis. 2023. details

  2. Gloria Pietropolli and Giuliamaria Menara and Mauro Castelli. Combining Genetic Programming and Particle Swarm Optimization to Simplify Rugged Landscapes Exploration. 2022. details

  3. Leonardo Trujillo and Jose Manuel Munoz Contreras and Daniel E. Hernandez and Mauro Castelli and Juan J. Tapia. GSGP-CUDA - a CUDA framework for Geometric Semantic Genetic Programming. 2021. details

  4. Mauro Castelli and Luca Manzoni and Leonardo Vanneschi. An Efficient Genetic Programming System with Geometric Semantic Operators and its Application to Human Oral Bioavailability Prediction. 2012. details