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Sana Ben Hamida

21
Documents

Présentation

Sana Ben Hamida is an associate professor at Paris Nanterre University and an associate researcher at the computer science laboratory (LAMSADE) of Paris Dauphine University. Her main research topics are evolutionary algorithms, machine learning and related applications. Much of her work focuses on problems related to scaling evolutionary learning techniques for massive data. Sana Ben Hamida is also interested in the application of evolutionary algorithms to solve supervised and unsupervised learning problems in the fields of biology and biodiversity.

Publications

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Genetic Algorithm to Detect Different Sizes’ Communities from Protein-Protein Interaction Networks

Marwa Ben M'Barek , Amel Borgi , Sana Ben Hamida , Marta Rukoz
14th International Conference on Software Technologies, Jul 2019, Prague, Czech Republic. pp.359-370, ⟨10.5220/0007836703590370⟩
Communication dans un congrès hal-02286178v1
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Genetic Programming over Spark for Higgs Boson Classification

Hmida Hmida , Sana Ben Hamida , Amel Borgi , Marta Rukoz
22nd International Conference Business Information Systems, Jun 2019, Seville, Spain. pp.300-312, ⟨10.1007/978-3-030-20485-3_23⟩
Communication dans un congrès hal-02286136v1

Tuning Active Sampling Techniques for Evolutionary Learner from Big Data Sets: Review and Discussion

Sana Ben Hamida , Marta Rukoz
UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld (2016 Intl IEEE Conferences), Jul 2016, Toulouse, France. pp.1206-1213, ⟨10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0184⟩
Communication dans un congrès hal-01448255v1
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Hierarchical Data Topology Based Selection for Large Scale Learning

Hmida Hmida , Sana Ben Hamida , Amel Borgi , Marta Rukoz
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), Jul 2016, Toulouse, France. pp.1221-1226, ⟨10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0186⟩
Communication dans un congrès hal-02286148v1
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Forecasting Financial Volatility Using Nested Monte Carlo Expression Discovery

Tristan Cazenave , Sana Ben Hamida
2015 IEEE Symposium Series on Computational Intelligence (SSCI), Dec 2015, Cape Town, France. pp.726-733, ⟨10.1109/SSCI.2015.110⟩
Communication dans un congrès hal-02476560v1
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Optimal Quantization : Evolutionary Algorithm vs Stochastic Gradient

Sana Ben Hamida , Moez Mrad
9th Joint Conference on Information Sciences, Oct 2006, Amsterdam, Netherlands. ⟨10.2991/jcis.2006.161⟩
Communication dans un congrès hal-02490713v1
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The need for improving the exploration operators for constrained optimization problems

Sana Ben Hamida , A. Petrowski
2000 Congress on Evolutionary Computation, Jul 2000, La Jolla, United States. pp.1176-1183, ⟨10.1109/CEC.2000.870781⟩
Communication dans un congrès hal-02490606v1
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An Adaptive Algorithm for constrained optimization problems

Sana Ben Hamida , Marc Schoenauer
PPSN 2000, Sep 2000, Paris, France
Communication dans un congrès inria-00001273v1

Evolutionary Algorithms

Alain Petrowski , Sana Ben Hamida
John Wiley & Sons, Ltd, 2017
Ouvrages hal-02091413v1

Evolutionary algorithms

Alain Petrowski , Sana Ben Hamida
ISTE Ltd, John Wiley & sons Volume 9, pp.236, 2017, Computer engineering series, metaheuristics set, Computer engineering series, metaheuristics set, 978-1-84821-804-8
Ouvrages hal-01677858v1

Evolutionary algorithms

Alain Petrowski , Sana Ben Hamida
Metaheuristics, Springer, pp.115 - 178, 2016, 978-3-319-45401-6. ⟨10.1007/978-3-319-45403-0_6⟩
Chapitre d'ouvrage hal-01680390v1
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Sampling Methods in Genetic Programming Learners from Large Datasets: A Comparative Study

Hmida Hmida , Sana Ben Hamida , Amel Borgi , Marta Rukoz
Springer. Advances in Big Data, 529, pp.50-60, 2016, Advances in Intelligent Systems and Computing, 978-3-319-47897-5. ⟨10.1007/978-3-319-47898-2_6⟩
Chapitre d'ouvrage hal-02286097v1

Les algorithmes évolutionnaires

Alain Petrowski , Sana Ben Hamida
Métaheuristiques : recuit simulé, recherche avec tabous, recherche à voisinages variables, méthode GRASP, algorithmes évolutionnaires, fourmis artificielles, essaims particulaires et autres méthodes d'optimisation, Eyrolles, pp.115 - 173, 2014, Algorithmes, 978-2-212-13929-7
Chapitre d'ouvrage hal-01263350v1
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Dynamic Hedging using Generated Genetic Programming Implied Volatility Models

Sana Ben Hamida , Fathi Abid , Wafa Abdelmalek
Genetic Programming - New Approaches and Successful Applications, InTech, 2012, ⟨10.5772/48148⟩
Chapitre d'ouvrage hal-02490809v1