- CSB - MetaPress - Google - Bing - Yahoo
 | 2012 | |
|---|---|---|
| j9 |      | Ghaith Manita, Riadh Khanchel, Mohamed Limam: Consensus Functions for Cluster Ensembles. Applied Artificial Intelligence 26(6): 598-614 (2012) |
| j8 | | Issam Ben Khediri, Claus Weihs, Mohamed Limam: Kernel k-means clustering based local support vector domain description fault detection of multimodal processes. Expert Syst. Appl. 39(2): 2166-2171 (2012) |
| 2011 | ||
| j7 | | Ben Khediri Issam, Mohamed Limam, Claus Weihs: Variable window adaptive Kernel Principal Component Analysis for nonlinear nonstationary process monitoring. Computers & Industrial Engineering 61(3): 437-446 (2011) |
| j6 | | Fedya Telmoudi, Mohamed El Ghourabi, Mohamed Limam: RST-GCBR-Clustering-Based RGA-SVM Model for Corporate Failure Prediction. Int. Syst. in Accounting, Finance and Management 18(2-3): 105-120 (2011) |
| j5 | | Walid Gani, Hassen Taleb, Mohamed Limam: An assessment of the kernel-distance-based multivariate control chart through an industrial application. Quality and Reliability Eng. Int. 27(4): 391-401 (2011) |
| c4 | | Sondes Fayech, Nadia Essoussi, Mohamed Limam: DM-pred Method: A New Method to Predict Secondary Structures Based on Data Mining Techniques. DEXA Workshops 2011: 445-449 |
| 2010 | ||
| c3 | | Afef Ben Brahim, Riadh Khanchel, Mohamed Limam: Solving data fusion problems using robust classifiers combination. SoCPaR 2010: 303-308 |
| 2009 | ||
| j4 | | Sondes Fayech, Nadia Essoussi, Mohamed Limam: Partitioning clustering algorithms for protein sequence data sets. BioData Mining 2 (2009) |
| j3 | | Imen Kooli, Mohamed Limam: Bayesian np control charts with adaptive sample size for finite production runs. Quality and Reliability Eng. Int. 25(4): 439-448 (2009) |
| 2008 | ||
| j2 | | Ben Khediri Issam, Mohamed Limam: Support vector regression based residual MCUSUM control chart for autocorrelated process. Applied Mathematics and Computation 201(1-2): 565-574 (2008) |
| 2006 | ||
| j1 | | Naim Zbidi, Sami Faïz, Mohamed Limam: On Mining Summaries by Objective Measures of Interestingness. Machine Learning 62(3): 175-198 (2006) |
| 2005 | ||
| c2 | | |
| 2004 | ||
| c1 | | |
Colors in the list of coauthors
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