Genetic Programming Bibliography entries for Sana Ben Hamida

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GP coauthors/coeditors: Wafa Abdelmalek, Fathi Abid, Tristan Cazenave, Hmida Hmida, Amel Borgi, Marta Rukoz, Alain Petrowski, Alain Racine, Marc Schoenauer,

Genetic Programming Articles by Sana Ben Hamida

  1. Sana Ben Hamida and Hmida Hmida and Amel Borgi and Marta Rukoz. Adaptive Sampling for Active Learning with Genetic Programming. Cognitive Systems Research, 2020. details

  2. Hmida Hmida and Sana Ben Hamida and Amel Borgi and Marta Rukoz. Scale Genetic Programming for large Data Sets: Case of Higgs Bosons Classification. Procedia Computer Science, 126:302-311, 2018. Knowledge-Based and Intelligent Information and Engineering Systems: Proceedings of the 22nd International Conference, KES-2018, Belgrade, Serbia. details

  3. Sana Ben Hamida and Wafa Abdelmalek and Fathi Abid. Applying Dynamic Training-Subset Selection Methods Using Genetic Programming for Forecasting Implied Volatility. Computational Intelligence, 32(3):369-390, 2016. details

  4. Wafa Abdelmalek and Sana Ben Hamida and Fathi Abid. Selecting the Best Forecasting-Implied Volatility Model Using Genetic Programming. Journal of Applied Mathematics and Decision Sciences, 2009. details

Genetic Programming PhD doctoral thesis Sana Ben Hamida

Genetic Programming conference papers by Sana Ben Hamida

  1. Hmida Hmida and Sana Ben Hamida and Amel Borgi and Marta Rukoz. A new adaptive sampling approach for Genetic Programming. In 2019 Third International Conference on Intelligent Computing in Data Sciences (ICDS), 2019. details

  2. Hmida Hmida and Sana Ben Hamida and Amel Borgi and Marta Rukoz. Genetic Programming over Spark for Higgs Boson Classification. In Witold Abramowicz and Rafael Corchuelo editors, Business Information Systems - 22nd International Conference, BIS 2019, Seville, Spain, June 26-28, 2019, Proceedings, Part I, volume 353, pages 300-312, 2019. Springer. details

  3. Hmida Hmida and Sana Ben Hamida and Amel Borgi and Marta Rukoz. Sampling Methods in Genetic Programming Learners from Large Datasets: A Comparative Study. In Plamen Angelov and Yannis Manolopoulos and Lazaros S. Iliadis and Asim Roy and Marley M. B. R. Vellasco editors, INNS Conference on Big Data, volume 529, pages 50-60, 2016. details

  4. Hmida Hmida and Sana Ben Hamida and Amel Borgi and Marta Rukoz. Hierarchical Data Topology Based Selection for Large Scale Learning. In 2016 Intl IEEE Conferences on Ubiquitous Intelligence Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld), pages 1221-1226, 2016. details

  5. Tristan Cazenave and Sana Ben Hamida. Forecasting Financial Volatility Using Nested Monte Carlo Expression Discovery. In 2015 IEEE Symposium Series on Computational Intelligence, pages 726-733, Cape Town, South Africa, 2015. details

  6. Alain Racine and Sana Ben Hamida and Marc Schoenauer. Parametric Coding vs Genetic Programming: A Case Study. In W. B. Langdon and Riccardo Poli and Peter Nordin and Terry Fogarty editors, Late-Breaking Papers of EuroGP-99, pages 13-22, Goteborg, Sweeden, 1999. details

Genetic Programming book chapters by Sana Ben Hamida

Genetic Programming other entries for Sana Ben Hamida