Genetic Programming Bibliography entries for Alina Patelli

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GP coauthors/coeditors: Aniko Ekart, Victoria Lush, Elisabeth Ilie-Zudor, Lavinia Ferariu, John Connor Rego Hamilton,

Genetic Programming Articles by Alina Patelli

Genetic Programming PhD doctoral thesis Alina Patelli

Genetic Programming conference papers by Alina Patelli

  1. John Rego Hamilton and Aniko Ekart and Alina Patelli. Predicting Normal and Anomalous Urban Traffic with Vectorial Genetic Programming and Transfer Learning. In Joao Correia and Stephen Smith and Raneem Qaddoura editors, 26th International Conference, EvoApplications 2023, volume 13989, pages 519-535, Brno, Czech Republic, 2023. Springer Verlag. details

  2. Alina Patelli and John Rego Hamilton and Victoria Lush and Aniko Ekart. A GENTLER Approach to Urban Traffic Modelling and Prediction. In Carlos A. Coello Coello and Sanaz Mostaghim editors, 2022 IEEE Congress on Evolutionary Computation (CEC), Padua, Italy, 2022. details

  3. Aniko Ekart and Alina Patelli and Victoria Lush and Elisabeth Ilie-Zudor. Genetic Programming with Transfer Learning for Urban Traffic Modelling and Prediction. In Yaochu Jin editor, 2020 IEEE Congress on Evolutionary Computation, CEC 2020, page paper id24137, internet, 2020. IEEE Press. details

  4. Aniko Ekart and Alina Patelli and Victoria Lush and Elisabeth Ilie-Zudor. Gaining Insights into Traffic Data through Genetic Improvement. In Justyna Petke and David R. White and W. B. Langdon and Westley Weimer editors, GI-2017, pages 1511-1512, Berlin, 2017. ACM. details

  5. Alina Patelli and Lavinia Ferariu. Regressor Survival Rate Estimation for Enhanced Crossover Configuration. In Andrej Dobnikar and Uros Lotric and Branko Ster editors, 10th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2011, volume 6593, pages 290-299, Ljubljana, Slovenia, 2011. Springer. Revised selected papers. details

  6. Alina Patelli and Lavinia Ferariu. A regressive schema theory based tool for GP evolved nonlinear models. In 17th International Conference on Automation and Computing (ICAC 2011), pages 201-206, Huddersfield, UK, 2011. details

  7. Alina Patelli and Lavinia Ferariu. Elitist multiobjective nonlinear systems identification with insular evolution and diversity preservation. In IEEE Congress on Evolutionary Computation (CEC 2010), Barcelona, Spain, 2010. IEEE Press. details

  8. Alina Patelli and Lavinia Ferariu. Increasing crossover operator efficiency in multiobjective nonlinear systems identification. In 5th IEEE International Conference Intelligent Systems, IS 2010, pages 426-431, London, 2010. details

  9. L. Ferariu and A. Patelli. Migration-based multiobjective genetic programming for nonlinear system identification. In 5th International Symposium on Applied Computational Intelligence and Informatics, SACI '09, pages 475-480, 2009. details

  10. Lavinia Ferariu and Alina Patelli. Multiobjective Genetic Programming for Nonlinear System Identification. In Mikko Kolehmainen and Pekka Toivanen and Bartlomiej Beliczynski editors, 9th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2009, volume 5495, pages 233-242, Kuopio, Finland, 2009. Springer. Revised selected papers. details