Publications
H. Elghazel. Classification et Prévision des
Données Hétérogènes : Application aux Trajectoires et Séjours Hospitaliers,
Mémoire de thèse, Université Claude Bernard Lyon 1, Lyon, France. Décembre, 2007.
[Thesis]
H. Elghazel, V. Deslandres, K. KALLEL and A. Dussauchoy. Clinical Pathway Clustering Using Graph b-coloring and Markov Model, International Journal of Biomedical Engineering and Technology-Special Issue on "Warehousing
and Mining Complex Data: Applications to Biology, Medicine, Behavior, Health and Environment", Inderscience, Vol. 3, No. 1/2 , pages 156-172, 2010.
H. Elghazel, H. Kheddouci, V. Deslandres and A. Dussauchoy. A Graph b-coloring Framework for Data Clustering,
Journal of Mathematical Modelling and Algorithms, © Springer Verlag, Volume 7, Number 4, pages 389-423, 2008.
K. Benabdeslem, H. Elghazel and R. Jaziri. Un cadre graphique pour la visualisation et la caractérisation de classes en mode non supervisé, Revue des nouvelles technologies de l’information, RNTI, Edition Cépaduès, 2010.
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.
T. Yoshida, H. Elghazel, V. Deslandres, M-S. Hacid and A. Dussauchoy. Toward Improving b-Coloring based
Clustering using a Greedy re-Coloring Algorithm, In: Advances in Greedy Algorithms,
W. Bednorz (Eds), I-Tech Education and Publishing, ISBN: 978-953-7619-27-5, pages 553-568, 2008.
H. Elghazel, M. Azzaoui, J. Legrand and M-S. Hacid. KSyDoC: A Keyword-based System
for DOcument Clustering and Retrieval, In: Bridging Archaeological and Information Technology Culture for community accessibility, L’Erma di Bretschneider, G. BAGNASCO (Eds), ISBN: 978-88-8265-488-7, pages 101-106, 2008.
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. (acceptance rate for regular papers 12%).
K. Benabdeslem, B. Effantin and H. Elghazel. A graph enrichment based clustering over vertically partitioned data, In the 7th International Conference on Advanced Data Mining and Applications (ADMA 2011), Beijing, China, December 17-19, 2011. Lecture Notes in Artificial Intelligence - © Springer Verlag, to appear.
N. Ben Aoun, H. Elghazel, M-S. Hacid and C. Ben Amar. Graph aggregation based image modeling and indexing
for video annotation, In the 14th International Conference on Computer Analysis of Images and Patterns (CAIP 2011), Seville, Spain, August 29-31, 2011. Lecture Notes in Computer Science - © Springer Verlag - ISBN: 978-3-642-23677-8, pages 324-331.
H. Elghazel and M-S. Hacid. Aggregated Search in Graph Databases: Preliminary Results, In the 8th IAPR-TC-15 Workshop on Graph-based Representations in Pattern Recognition (GbR 2011), Munster, Germany, May 18-20, 2011. Lecture Notes in Computer Science - © Springer Verlag - ISBN: 978-3-642-20843-0, pages 92-101.
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, 2010, IEEE Computer Society, pages 168-175. (acceptance rate for regular papers 9.03%).
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, September 2010.
R. Jaziri, K. Benabdeslem and H. Elghazel. A Graph based framework for clustering and characterization
of SOM, In the proceedings of 20th International Conference on Artificial Neural Networks (ICANN 2010), Thessaloniki, Greece, September 15-18, 2010. Lecture Notes in Computer Science Intelligence - © Springer Verlag - ISBN: 978-3-642-15824-7, pages 387-396.
H. Elghazel, K. Benabdeslem and F. Hamdi. Consensus clustering by graph based approach, In European Symposium on Artificial Neural Networks,
Computational Intelligence and Machine Learning (ESANN 2010), Bruges, Belgium, April 28-30, 2010.
H. Elghazel, K. Benabdeslem and Hamamache Kheddouci. McSOM: Minimal Coloring of Self Organizing Map, In the 5th International Conference on Advanced Data Mining and Applications (ADMA 2009), Beijing, China, August 17-19, 2009. Lecture Notes in Artificial Intelligence - © Springer Verlag - ISBN: 978-3-642-03347-6, pages 128-139. (acceptance rate 12%)
H. Elghazel and K. Benabdeslem. Towards b-coloring of SOM, In the 6th International Conference on Machine Learning and Data Mining (MLDM 2009), Leipzig, Germany, July 23-25, 2009. Lecture Notes in Artificial Intelligence - © Springer Verlag - ISBN: 978-3-642-03069-7, pages 322-336.
H. Elghazel, T. Yoshida, M-S. Hacid. An Integrated Graph and Probability Based Clustering Framework for Sequential Data, In the 11th International Conference on Discovery Science (DS 2008), Budapest, Hungary, October 13-16, 2008.
Lecture Notes in Artificial Intelligence Nº5255 - © Springer Verlag - ISBN: 978-3-540-88410-1, pages 246-258.
H. Elghazel, V. Deslandres, K. KALLEL and A. Dussauchoy. Clinical Pathway Analysis Using Graph-Based
Approach and Markov Models, In the Second IEEE/ACM International Conference on Digital Information Management (ICDIM 2007),
Lyon, France, October 28-31, 2007, IEEE Computer Press. ISBN: 978-1-4244-1476-8, pages 279-284.
H. Elghazel, H. Kheddouci, V. Deslandres and A. Dussauchoy. A Partially Dynamic Clustering
Algorithm for Data Insertion and Removal, In the 10th International Conference on Discovery Science (DS 2007), Sendai,
Japan, October 1-4, 2007. Lecture Notes in Artificial Intelligence Nº4755 - © Springer Verlag - ISBN: 978-3-540-75487-9, pages 78-90.
(acceptance rate 30%)
H. Elghazel, K. Benabdeslem and A. Dussauchoy. Constrained
Graph b-coloring based Clustering Approach, In the 9th International Conference on Data
Warehousing and Knowledge Discovery (DaWaK 2007), Regensburg, Germany, September 3-7, 2007.
Lecture Notes in Computer Science Nº4654 - © Springer Verlag - ISBN: 978-3-540-74552-5, pages 262-271. (acceptance rate 29%)
H. Elghazel, K. Benabdeslem and A. Dussauchoy. Clustering With Constraints Using Graph Based Approach,
In the 5th International Workshop on Mining and Learning with Graphs (MLG 2007), Florence, Italy. August 1-3, 2007.
H. Elghazel, H. Kheddouci, V. Deslandres and A. Dussauchoy.
A Graph-based Approach for Dynamic Clustering, In the 5th International Workshop on Mining and Learning with Graphs (MLG 2007), Florence, Italy. August 1-3, 2007.
V. Deslandres, H. Elghazel, K. Kallel and A. Dussauchoy.
A decision support system for clinical pathways analysis, In the 33rd conference on
Operational Research Applied to Health Service (ORAHS 2007), Saint-Etienne, France, July 15-20, 2007.
H. Elghazel, T. Yoshida, V. Deslandres, M-S. Hacid and A. Dussauchoy.
A New Greedy Algorithm for improving b-Coloring Clustering, In 6th IAPR-TC-15 Workshop on Graph-based
Representations in Pattern Recognition (GbR 2007), Alicante, Spain, June 11-13, 2007. Lecture Notes in Computer Science Nº4538
- © Springer Verlag - ISBN: 978-3-540-72902-0, pages 228-239.
H. Elghazel, V. Deslandres, M-S.. Hacid, A. Dussauchoy and H. Kheddouci.
A New Clustering Approach for Symbolic Data and its Validation: Application to the Healthcare Data,
In 16th International Symposium on Methodologies for Intelligent Systems (ISMIS 2006), Bari, Italie, September 27-29,
2006. Lecture Notes in Artificial Intelligence Nº4203 - © Springer Verlag - ISBN: 3-540-45764-X, pages 473-482.
(acceptance rate 35%)
H. Elghazel, H. Kheddouci, V. Deslandres and A. Dussauchoy.
A New Graph Based Clustering Approach: Application to PMSI Data, In the 3rd IEEE International Conference on Services Systems
and Services Management (ICSSSM 2006), Troyes, France, October 25-27, 2006. ISBN: 1-4244-0450-9, pages 110-115.
H. Elghazel, K. Idrissi, A. Baskurt and C. Ben Amar.
Textual Approaches for image retrieval (Approches textuelles pour la recherche l’images),
In the 3rd IEEE International Conference on Sciences of Electronic, Technologies of Information
and Telecommunications (SETIT 2005), Sousse, Tunisie, March 27-31, 2005. ISBN: 9973-51-546-3.
H. Elghazel, K. Idrissi, A. Baskurt and C. Ben Amar.
Bacteria Analysis and identifications in the microscopic color images of biofilms
(Analyse et Identification de Bactéries dans les Images Microscopiques couleur de Biofilms),
In the first International Conference on Signals, Circuits & Systems (SCS 2004), Monastir, Tunisie,
March 2004, pages 573-576.
F. Hamdi, H. Elghazel and K.Benabdeslem. Approche graphique pour l'agrégation de classifications non-supervisées, Atelier : Fouille de données complexes dans le cadre
de la conférence EGC2010 (AFDC-EGC 2010), Hammamet, Janvier, 2010.
H. Elghazel and K. Benabdeslem. Segmentation graphique des cartes topologiques, In 11ème Conférence Francophone sur l’apprentissage automatique (CAp 2009), Plate-forme AFIA, Hammamet, Tunisie, 26-29 Mai, 2009. Editions Cépaduès.
H. Elghazel, H. Kheddouci, V. Deslandres and A. Dussauchoy. Une approche incrémentale
de classification non supervisée par b-coloration de graphes, In 9ème Conférence Francophone sur l’apprentissage
automatique (CAp 2007), Plate-forme AFIA, Grenoble, France, 2-6 Juillet, 2007. Editions Cépaduès. ISBN: 978-2-85428-789-9, pages 107-122. (acceptance rate 40%)
T. Yoshida, H. Elghazel, V. Deslandres,
M-S. Hacid and A. Dussauchoy. A Re-Coloring Method for b-coloring based
Clustering, In the 18th IEICE Data Engineering Workshop in conjunction
with the 5th Annual Conference on the Database Society of Japan (DBSJ). Hiroshima, Japan. 28th February - 2nd March, 2007. (In Japanese).
H. Elghazel, M-S. Hacid, H. Kheddouci and A. Dussauchoy. Une nouvelle approche de
clustering pour les données symboliques: Algorithmes et Application aux Données Médicales (A New Clustering
Approach for Symbolic Data: Algorithms and Application to Healthcare Data), In 22ème journées de Bases de
données Avancées (BDA 2006), Lille, France, 17-20 Octobre, 2006. (acceptance rate 29%)
H. Elghazel, V. Deslandres and A. Dussauchoy. Analyse de données PMSI :
Etude des groupes homogènes de malades et proposition l’une nouvelle typologie de séjours,
In 3ème conférence francophone en gestion et ingénierie des systèmes hospitaliers (GISEH 2006),
Luxembourg, 14-16 Septembre, 2006.
M. Azzaoui, J. Legrand and H. Elghazel. KSyDoC: A Keyword-based System
for DOcument Clustering and Retrieval, In 23ème journées de Bases de données Avancées (BDA 2007),
Marseille, France, 23-26 Octobre, 2007.
H. Elghazel. Initiation au Programme de Médicalisation des Systèmes
l’Information (PMSI) Français, Rapport interne, Laboratoire PRISMa, Université Claude Bernard Lyon 1, France. Février, 2005.
[Report]
H. Elghazel. Approches textuelles pour la recherche l’images,
Mémoire de DEA, Institut National des Sciences Appliquées de Lyon, France. Juillet, 2004.
[Thesis]
H. Elghazel. Analyse et identifications de bactéries dans les images microscopiques couleur
de biofilms, Mémoire de Projet de Fin d’études, Ecole Nationale l’Ingénieurs de Sfax (Tunisie) et Laboratoire
l’InfoRmatique en Images et Systèmes l’informations LIRIS de l’Université Claude Bernard Lyon 1 (France). Juin, 2003.
[Thesis]
