Current teams : | ALMASTY ALSOC APR BD CIAN ComplexNetworks DECISION DELYS LFI MOCAH MoVe NPA PEQUAN PolSys QI RO SMA SYEL |
Former team : | ACASA |
- A. Aït‑Younes, I. Truck, H. Akdag : “Color Image Profiling Using Fuzzy Sets”, Turkish Journal of Electrical Engineering and Computer Sciences, vol. 13 (3), pp. 343-360, (Scientific and Technical Research Council of Turkey) [Aït-Younes 2005]
- M.‑R. Amini, P. Gallinari : “Semi-supervised Learning with an Imperfect Supervisor”, Knowledge and Information Systems (KAIS), vol. 8 (4), pp. 385-413, (Springer) [Amini 2005b]
- M. Atieh, R. Younes, M. Khalil, H. Akdag : “Classification of the Car Seats by Detecting the Muscular Fatigue in the EMG Signal”, International Journal of Computational Cognition, vol. 3 (4), pp. 48-54 [Atieh 2005a]
- H. Binsztok, Th. Artières : “Learning Model Structure from Data: An Application to On-Line Handwriting”, Electronic Letters on Computer Vision and Image Analysis, vol. 5 (2), pp. 30-46, (Computer Vision Center Press) [Binsztok 2005]
- H. Boudouda, H. Seridi, H. Akdag : “The fuzzy possibilistic C-means Classifier”, Asian Journal of Information Technology, vol. 4 (11), pp. 981-985 [Boudouda 2005a]
- H. Boudouda, M. Nemissi, H. Seridi, H. Akdag : “Unsupervised Automatic Classification by C-Means : Resolution of Initialisation Problem”, Al-Azhar Engineering University Journal, AEUJ, vol. 8 (7), pp. 72-79 [Boudouda 2005b]
- N. Kaddeche, N. Doghmane, M. Kaddeche, H. Akdag, A. Borgi : “Supervised Machine Learning by Generation of Rules : Optimization of the classification rate by mixed correlation”, Asian Journal of Information Technology, vol. 4 (2), pp. 152-161 [Kaddeche 2005]
- S. Marukatat, Th. Artières, P. Gallinari : “Une méthode générique pour la conception de moteurs de reconnaissance de symboles manuscrits en ligne”, Traitement du Signal, vol. 22 (3), pp. 223-237, (Lavoisier) [Marukatat 2005]
- M. Nemissi, H. Seridi, H. Akdag : “Labeled Neuro-Fuzzy Classifier”, Asian Journal of Information Technology, vol. 4 (9), pp. 868-872 [Nemissi 2005b]
- B. Piwowarski, P. Gallinari : “A Bayesian Network for XML Information Retrieval: Searching and Learning with the INEX Collection”, Information Retrieval Journal, vol. 8 (4), pp. 655-681, (Springer) [Piwowarski 2005]