
Sana Ben Hamida
26
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Publications
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Adaptive sampling for active learning with genetic programmingCognitive Systems Research, 2021, 65, pp.23 - 39. ⟨10.1016/j.cogsys.2020.08.008⟩
Article dans une revue
hal-03493499
v1
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Scale Genetic Programming for large Data Sets: Case of Higgs Bosons ClassificationProcedia Computer Science, 2018, 126, pp.302-311. ⟨10.1016/j.procs.2018.07.264⟩
Article dans une revue
hal-02286084
v1
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Genetic Algorithm for Community Detection in Biological NetworksProcedia Computer Science, 2018, 126 (6), pp.195-204. ⟨10.1016/j.procs.2018.07.233⟩
Article dans une revue
hal-02286078
v1
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Recovering Volatility from Option Prices by Evolutionary OptimizationThe Journal of Computational Finance, 2005, ⟨10.2139/ssrn.546882⟩
Article dans une revue
hal-02490586
v1
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Random Forest Classifier for Marine Biodiversity Analysis2024 International Conference on Intelligent Systems and Computer Vision (ISCV), May 2024, Fez, France. pp.1-8, ⟨10.1109/ISCV60512.2024.10620111⟩
Communication dans un congrès
hal-04673568
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ACTIVE SMOTE for Imbalanced Medical Data ClassificationInternational Conference on Information and Knowledge Systems, Inès Saad, Camille Rosenthal-Sabroux, Faiez Gargouri, Salem Chakhar, Nigel Williams, Ella Haig, Jun 2023, Portsmouth, United Kingdom. pp.81-97, ⟨10.1007/978-3-031-51664-1_6⟩
Communication dans un congrès
hal-04462505
v1
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Extending DEAP with Active Sampling for Evolutionary Supervised LearningProceedings of the 16th International Conference on Software Technologies, ICSOFT 2021, Aug 2021, Online Streaming, France
Communication dans un congrès
hal-03363085
v1
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Genetic Algorithm to Detect Different Sizes’ Communities from Protein-Protein Interaction Networks14th International Conference on Software Technologies, Jul 2019, Prague, Czech Republic. pp.359-370, ⟨10.5220/0007836703590370⟩
Communication dans un congrès
hal-02286178
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Genetic Programming over Spark for Higgs Boson Classification22nd 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-02286136
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Hierarchical Data Topology Based Selection for Large Scale Learning2016 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-02286148
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Tuning Active Sampling Techniques for Evolutionary Learner from Big Data Sets: Review and DiscussionUIC/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-01448255
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Forecasting Financial Volatility Using Nested Monte Carlo Expression Discovery2015 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-02476560
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Optimal Quantization : Evolutionary Algorithm vs Stochastic Gradient9th Joint Conference on Information Sciences, Oct 2006, Amsterdam, Netherlands. ⟨10.2991/jcis.2006.161⟩
Communication dans un congrès
hal-02490713
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An Adaptive Algorithm for constrained optimization problemsPPSN 2000, Sep 2000, Paris, France
Communication dans un congrès
inria-00001273
v1
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The need for improving the exploration operators for constrained optimization problems2000 Congress on Evolutionary Computation, Jul 2000, La Jolla, United States. pp.1176-1183, ⟨10.1109/CEC.2000.870781⟩
Communication dans un congrès
hal-02490606
v1
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Evolutionary algorithmsISTE 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-01677858
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Evolutionary AlgorithmsJohn Wiley & Sons, Ltd, 2017
Ouvrages
hal-02091413
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Algorithm vs Processing Manipulation to Scale Genetic Programming to Big Data MiningMetaheuristics for Machine Learning, pp.179-199, 2023, ⟨10.1007/978-981-19-3888-7_7⟩
Chapitre d'ouvrage
hal-04669411
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Evolutionary algorithmsMetaheuristics, Springer, pp.115 - 178, 2016, 978-3-319-45401-6. ⟨10.1007/978-3-319-45403-0_6⟩
Chapitre d'ouvrage
hal-01680390
v1
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Sampling Methods in Genetic Programming Learners from Large Datasets: A Comparative StudySpringer. 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-02286097
v1
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Les algorithmes évolutionnairesMétaheuristiques : 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-01263350
v1
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Dynamic Hedging using Generated Genetic Programming Implied Volatility ModelsGenetic Programming - New Approaches and Successful Applications, InTech, 2012, ⟨10.5772/48148⟩
Chapitre d'ouvrage
hal-02490809
v1
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L'impact du choix des données d'apprentissage dans la génération des IDS par la programmation génétique2008
Autre publication scientifique
hal-02490909
v1
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Liage des données par les systèmes de recommandation intelligents dans une démarche d'optimisation de la qualité des données2021
Pré-publication, Document de travail
hal-03452652
v1
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Nested Monte Carlo Expression Discovery vs Genetic Programming for Forecasting Financial Volatility2020
Pré-publication, Document de travail
hal-02489115
v1
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Algorithmes Evolutionnaires: Prise en compte des contraintes et Application RéelleInformatique [cs]. Université Paris Saclay, 2001. Français. ⟨NNT : ⟩
Thèse
tel-03086421
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