Genetic Programming Bibliography entries for Mohammad Mehdi Ebadzadeh
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Maryam Amir Haeri,
Samaneh Sadat Mousavi Astarabadi,
Genetic Programming Articles by Mohammad Mehdi Ebadzadeh
Genetic Programming conference papers by Mohammad Mehdi Ebadzadeh
Samaneh Sadat Mousavi Astarabadi and Mohammad Mehdi Ebadzadeh.
Avoiding Overfitting in Symbolic Regression Using the First Order Derivative of GP Trees. 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 Companion '15: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, pages 1441-1442, Madrid, Spain, 2015. ACM.
Mehrdad Alizadeh and Mohammad Mehdi Ebadzadeh.
Kernel evolution for support vector classification. In
IEEE Workshop on Evolving and Adaptive Intelligent Systems (EAIS 2011), pages 93-99, Paris, 2011.
Naser NourAshrafoddin and Ali R. Vahdat and Mohammad Mehdi Ebadzadeh.
Automatic Design of Modular Neural Networks Using Genetic Programming. In
Joaquim Marques de S\'a and Lu\'is A. Alexandre and Wlodzislaw Duch and Danilo P. Mandic editors,
Proceedings of the 17th International Conference on Artificial Neural Networks, ICANN 2007, Part I, volume 4668, pages 788-798, Porto, Portugal, 2007. Springer.
Genetic Programming book chapters by Mohammad Mehdi Ebadzadeh
Maryam Amir Haeri and Mohammad Mehdi Ebadzadeh and Gianluigi Folino.
Statistical Genetic Programming: The Role of Diversity. In
Vaclav Snasel and Pavel Kroemer and Mario Koeppen and Gerald Schaefer editors,
Soft Computing in Industrial Applications, volume 223 of Advances in Intelligent Systems and Computing, chapter 4, pages 37-48. Springer, 2014.
Proceedings of the 17th Online World Conference on Soft Computing in Industrial Applications.