Recent publications
A. Aussem. Special Issue on Bayesian Networks, Neurocomputing, Vol. 73, pages 561-562, 2010.
A. Aussem, S. Rodrigues de Morais and M. Corbex. Analysis of Nasopharyngeal Carcinoma risk factors with Bayesian Networks, Artificial Intelligence in Medicine, Vol. 54, pages 53-62, 2012. F. Bellal, H. Elghazel and A. Aussem. A Semi Supervised Feature Ranking Method with Ensemble Learning, Pattern Recognition Letters, to appear, 2012.
S. Rodrigues De Morais and A. Aussem. A novel Markov boundary based feature subset selection algorithm, Neurocomputing, Vol. 73, pages 578-584, 2010.
A. Aussem and S. R. de Morais. A conservative feature subset selection algorithm with missing data, Neurocomputing, Vol. 73, pages 585-590, 2010.
A. Aussem, A. Tchernof , S. Rodrigues de Morais and S. Rome. Analysis of lifestyle and metabolic predictors of visceral obesity with Bayesian Networks, BMC Bioinformatics 11:487, 2010.
Z. Kebaili and A. Aussem. A novel hybrid Bayesian network structure learning algorithm based on correlated itemset mining techniques, International Journal of Computational Intelligence Research, Vol. 5, No. 1, pages 16-21, 2009.
F. Rafamantanantsoa, P. Laurencot and A. Aussem. Performance Modelling and Analysis of a Web Server, International Journal on Computer Network and Internet Research, Vol. 9, No. 2, pages 31-35, 2009.
F. Rafamantanantsoa, P. Laurencot and A. Aussem. Mixed Neural and Feedback Controller for Apache Web Server, International Journal on Computer Network and Internet Research, Vol. 9, No. 2, pages 25-30, 2009.
H. Elghazel, A. Aussem and F. Perraud. Trading-Off Diversity and Accuracy for Optimal Ensemble Tree Selection in Random Forests, In Ensembles in Machine Learning Applications, Studies in Computational Intelligence, Springer Verlag, O. Okun, G. Valentini and M. Re (Eds), pages 169-179, 2011.
H. Barkia, H. Elghazel and A. Aussem. Semi-Supervised Feature Importance Evaluation with Ensemble Learning, In the proceedings of IEEE International Conference on Data Mining (ICDM 2011), Vancouver, Canada, December 11-14, 2011, IEEE Computer Society, to appear, 2011. H. Elghazel and A. Aussem. Feature Selection for Unsupervised Learning using Random Cluster Ensembles, In the proceedings of IEEE International Conference on Data Mining (ICDM 2010), Sydney Australia, pages 168-175, 2010.
S. Rodrigues de Morais and A. Aussem. An efficient learning algorithm for local Bayesian network structure discovery, In the proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2010), LNCS Volume 6323, pages 164-169, 2010.
H. Elghazel, A. Aussem and F. Perraud. Trading-off diversity and accuracy for optimal ensemble tree selection in random forests, In the proceedings of Workshop on Supervised and Unsupervised Ensemble Methods and their Applications (SUEMA 2010), co-located with ECML PKDD 2010, Barcelona, 2010.
A. Aussem and S. R. de Morais and M. Corbex. Graph-based Analysis of Nasopharyngeal Carcinoma with Bayesian Network Learning Methods, In the proceedings of 7th IAPR-TC-15 Workshop on Graph-based Representations in Pattern Recognition (GBR 2009), Venice, Italy, LNCS N°5534-Springer Verlag, pages 52-61, 2009.
A. Aussem, S. R. de Morais, F. Perraud and S. Rome. Robust gene selection from microarray data with a novel Markov boundary learning method: Application to diabetes analysis, In the proceedings of 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2009), Verona, Italy, LNAI N°5590-Springer Verlag, pages 724-735, 2009.
F. Rafamantanantsoa, P. Laurencot and A. Aussem. Mixed Neural and Feedback Controller for Apache Web Server, In the proceedings of International Conference on Sciences of Electronic, Technology of Information and Telecommunications (SETIT 2009), Hammamet, Tunisie, 2009.
G. Thibault, A. Aussem and S. Bonnevay. Incremental Bayesian network learning for scalable feature selection, In the proceedings of 8th International Symposium on Intelligent Data Analysis (IDA 2009), LNCS N°5772, Springer-Verlag, Lyon, France, pages 202-212, 2009.
S. Rodrigues de Morais and A. Aussem. Exploiting data missingness in Bayesian network modeling, In the proceedings of 8th International Symposium on Intelligent Data Analysis (IDA 2009), LNCS N°5772, Springer-Verlag, Lyon, France, pages 35-46, 2009.
F. Bellal, K. Benabdeslem, A. Aussem, M. Corbex. SOM based clustering with instance-level constraints, In the proceedings of European Symposium on Artificial Neural Networks (ESANN 2008), Bruges, Belgium, pages 313-318, 2008.
Z. Hamou Mamar, P. Chainais and A. Aussem.. Combining learning methods and time-scale analysis for defect diagnosis of a tramway guiding system, In the proceedings of 16th Mediterranean Conference on Control and Automation (MED 2008), Congress Centre, Ajaccio, 2008.
S. R. de Morais, A. Aussem and M. Corbex. Handling almost-deterministic relationships in constraint-based Bayesian network discovery : Application to cancer risk factor identification, In the proceedings of European Symposium on Artificial Neural Networks (ESANN 2008), Bruges, Belgium, pages 101-106, 2008.
S. R. de Morais and A. Aussem. A Novel Scalable and Data Efficient Feature Subset Selection Algorithm, In the proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2008), Antwerp, Belgium, pages 298-312, 2008.
S. R. de Morais and A. Aussem. A novel scalable and correct Markov boundary learning algorithm under faithfulness condition , In the proceedings of European Workshop on Probabilistic Graphical Models (PGM 2008), Denmark, 2008.
A. Aussem and S. R. de Morais. A Conservative Feature Subset Selection Algorithm with Missing Data, In the proceedings of IEEE International Conference on Data Mining (ICDM 2008), Pisa, Italy, pages 725-730, 2008.
A. Aussem, S. R. de Morais and M. Corbex. Analysis of Nasopharyngeal Carcinoma Data with a Novel Bayesian Network Learning, In the proceedings of IEEE International Conference on Research, Innovation and Vision for the Future (RIVF 2007), Hanoi, Vietnam, pages 281-287, 2007.
A. Aussem, S. R. de Morais and M. Corbex. Nasopharyngeal Carcinoma Data Analysis with a Novel Bayesian Network Skeleton Learning Algorithm, In the proceedings of 11th International Conference on Artificial Intelligence in Medicine (AIME 2007), LNAI N°4594, Springer-Verlag, Amsterdam, The Netherlands, pages 326-330, 2007.
G. Thibault, S. Bonnevay and A. Aussem. Learning Bayesian network structures by estimation of distribution algorithms: An experimental analysis, In the proceedings of Second IEEE International Conference on Digital Information Management (ICDIM 2007), Lyon, France, pages 127-132, 2007.
Z. Kebaili and A. Aussem. A novel Bayesian network structure learning algorithm based on minimal correlated itemset mining techniques, In the proceedings of Second IEEE International Conference on Digital Information Management (ICDIM 2007), Lyon, France, pages 121-126, 2007.
Z. Hamou Amar, P. Chanais and A. Aussem. Probabilistic classifiers and time scale representations: Application to the monitoring of a tramway guiding system, In the proceedings of European Symposium on Artificial Neural Networks (ESANN 2006), Bruges, Belgium, pages 659-664, 2006.
A. Aussem and P. Chainais. Modelling switching dynamics using prediction experts operating on distinct wavelet scales, In the proceedings of European Symposium on Artificial Neural Networks (ESANN 2006), Bruges, Belgium, pages 185-190, 2006.
A. Mahul and A. Aussem. Learning with monotonicity requirements for optimal routing with end-to-end quality of service constraints, In the proceedings of European Symposium on Artificial Neural Networks (ESANN 2006), Bruges, Belgium, pages 451-460, 2006.
Z. Hamou Mamar, P. Chainais and A. Aussem.. Diagnostic de l'usure des galets du système de guidage d'un tramway sur pneumatiques, Revue TSI : Jeunes chercheurs STIC, 2006.
A. Aussem. Les réseaux récurrents, Paru dans l'ouvrage "Apprentissage Connexionnste", sous la direction de Younès Bennani, Hermès Science, 2006.
F. Bellal, K. Benabdeslem and A. Aussem. SOM based clustering with instance-level constraints., In the proceedings of Conférence francophone d’apprentissage (CAp 2008), Ile de Porquerolles, France, pages 17-18, 2008. G. Thibault, A. Aussem and S. Bonnevay. Analyse critique des algorithmes EDA dans le cadre de l'apprentissage de structure de réseaux Bayésiens, In the proceedings of Journées Francophones des réseaux Bayésiens (JFRB 2008), Lyon, 2008.
A. Benahassena, K. Benabdeslem, F. Bellal, A. Aussem and B. Canitia. Intégration de contraintes dans les cartes auto-organisatrices, In the proceedings of EGC 2008, Cépaduès-Editions, pages 643-648, 2008.
A. Aussem, S. R. de Morais and M. Corbex. Application des réseaux bayésiens à l'analyse des facteurs impliqués dans le cancer du Nasopharynx, In the proceedings of EGC 2007, Cépaduès-Editions, pages 123-134, 2007.
K. Benabdeslem, M. Lebbah, A. Aussem and M. Corbex. Approche connexionniste pour l’extraction de profils cas-témoins du cancer du Nasopharynx à partir des données, In the proceedings of EGC 2007, Cépaduès-Editions, pages 445-456, 2007.
K. Benabdeslem, M. Lebbah, A. Aussem, N. Chelghoum and M. Corbex. Learning based system for knowledge discovery from nasopharyngeal cancer data, In the proceedings of Coloque sur l’optimisation et les systèmes d’information (COSI 2007), Oran, Algérie, 2007.
A. Aussem, Z. Kebaili, M. Corbex and F. De Marchi. Apprentissage de la structure des réseaux bayésiens à partir des motifs fréquents corrélés : application à l\'identification des facteurs environnemen, In the proceedings of EGC 2006, Cépaduès-Editions
, pages 651-662, 2006.
A. Aussem. Le Calcul du Gradient d'Erreur dans les Réseaux de Neurones :
Applications aux Télécom et aux Sciences Environnementales.
LIMOS UMR 6158 CNRS, 2002.
