Mohamed Limam - RankMe

46 papers C 5Journal 21Unranked 20

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	A new time adjusting control limits chart for concept drift detection. IFAC J. Syst. Control. Dhouha Mejri, Mohamed Limam, Claus Weihs
2019	J	`jnl`	Enhancing the Accuracy of Intrusion Detection Systems by Reducing the Rates of False Positives and False Negatives Through Multi-objective Optimization. J. Netw. Syst. Manag. Fatma Hachmi, Khadouja Boujenfa, Mohamed Limam
2018	J	`jnl`	A new dynamic weighted majority control chart for data streams. Soft Comput. Dhouha Mejri, Mohamed Limam, Claus Weihs
2018	—	`conf`	Adapting a Multi-SOM Clustering Algorithm to Large Banking Data. WorldCIST (1) Imèn Khanchouch, Mohamed Limam
2018	J	`jnl`	Ensemble feature selection for high dimensional data: a new method and a comparative study. Adv. Data Anal. Classif. Afef Ben Brahim, Mohamed Limam
2017	—	`conf`	AF Detection and ECG Classification based on Convolutional Recurrent Neural Network. CinC Mohamed Limam, Frédéric Precioso
2017	J	`jnl`	Incremental robust principal component analysis for face recognition using ridge regression. Int. J. Biom. Haïfa Nakouri, Mohamed Limam
2017	C	`conf`	Robust Low-Rank Approximation of Images for Background and Foreground Separation. PDCAT Haïfa Nakouri, Mhamed-Ali El-Aroui, Mohamed Limam
2016	J	`jnl`	A hybrid feature selection method based on instance learning and cooperative subset search. Pattern Recognit. Lett. Afef Ben Brahim, Mohamed Limam
2016	—	`conf`	An Incremental Two-Dimensional Principal Component Analysis for Image Compression and Recognition. SITIS Haïfa Nakouri, Mohamed Limam
2016	—	`conf`	Robust Generalized Low Rank Approximation of Matrices for image recognition. ISSPIT Haïfa Nakouri, Mohamed Limam
2015	—	`conf`	A Three-Stage Process to Detect Outliers and False Positives Generated by Intrusion Detection Systems. CIT/IUCC/DASC/PICom Fatma Hachmi, Khadouja Boujenfa, Mohamed Limam
2015	C	`conf`	A Two-Stage Process Based on Data Mining and Optimization to Identify False Positives and False Negatives Generated by Intrusion Detection Systems. CIS Fatma Hachmi, Mohamed Limam
2015	—	`conf`	An Improved Intrusion Detection System Based on a Two Stage Alarm Correlation to Identify Outliers and False Alerts. MIKE Fatma Hachmi, Mohamed Limam
2015	J	`jnl`	An optimization process to identify outliers generated by intrusion detection systems. Secur. Commun. Networks Fatma Hachmi, Khadouja Boujenfa, Mohamed Limam
2015	J	`jnl`	Kernel-Based Methods to Identify Overlapping Clusters with Linear and Nonlinear Boundaries. J. Classif. Chiheb-Eddine Ben N'cir, Nadia Essoussi, Mohamed Limam
2015	—	`conf`	Sequential Instance Based Feature Subset Selection for High Dimensional Data. MIKE Afef Ben Brahim, Mohamed Limam
2014	C	`conf`	A Stable Instance Based Filter for Feature Selection in Small Sample Size Data Sets. ADMA Afef Ben Brahim, Mohamed Limam
2014	—	`conf`	An Ensemble Wrapper Feature Selection for Credit Scoring. SocProS (1) Waad Bouaguel, Mohamed Limam
2014	C	`conf`	Automatic Feature Detection and Clustering Using Random Indexing. ICISP Haïfa Nakouri, Mohamed Limam
2014	C	`conf`	Discovering Features Contexts from Images Using Random Indexing. IWCIA Haïfa Nakouri, Mohamed Limam
2014	—	`conf`	Discovering Multi-sense Features from Images Using Random Indexing. ICAISC (1) Haïfa Nakouri, Mohamed Limam
2014	—	`conf`	Monitoring a Dynamic Weighted Majority Method Based on Datasets with Concept Drift. ECDA Dhouha Mejri, Mohamed Limam, Claus Weihs
2014	—	`conf`	New prior knowledge based extensions for stable feature selection. SoCPaR Afef Ben Brahim, Mohamed Limam
2013	J	`jnl`	A New Bilinear Approach for Incremental Visual Learning and Recognition. Int. J. Pattern Recognit. Artif. Intell. Haïfa Nakouri, Mohamed Limam
2013	J	`jnl`	A Three-Stage Feature Selection using quadratic Programming for Credit Scoring. Appl. Artif. Intell. Bouaguel Waad, Ghazi Bel Mufti, Mohamed Limam
2013	J	`jnl`	Erratum: "a New Bilinear Approach for Incremental Visual Learning and Recognition". Int. J. Pattern Recognit. Artif. Intell. Haïfa Nakouri, Mohamed Limam
2013	—	`conf`	Extension of Robust Principal Component Analysis for Incremental Face Recognition. VISAPP (1) Haïfa Nakouri, Mohamed Limam
2013	—	`conf`	Feature Selection by Rank Aggregation and Genetic Algorithms. KDIR/KMIS Bouaguel Waad, Afef Ben Brahim, Mohamed Limam
2013	J	`jnl`	Performance Evaluation of One-Class Classification-based Control Charts through an Industrial Application. Qual. Reliab. Eng. Int. Walid Gani, Mohamed Limam
2013	—	`conf`	Rank Aggregation for Filter Feature Selection in Credit Scoring. MIKE Bouaguel Waad, Ghazi Bel Mufti, Mohamed Limam
2013	—	`conf`	Robust ensemble feature selection for high dimensional data sets. HPCS Afef Ben Brahim, Mohamed Limam
2013	—	`conf`	Similarity Aggregation a New Version of Rank Aggregation Applied to Credit Scoring Case. MIKE Bouaguel Waad, Ghazi Bel Mufti, Mohamed Limam
2012	J	`jnl`	Consensus Functions for Cluster Ensembles. Appl. Artif. Intell. Ghaith Manita, Riadh Khanchel, Mohamed Limam
2012	J	`jnl`	Kernel k-means clustering based local support vector domain description fault detection of multimodal processes. Expert Syst. Appl. Issam Ben Khediri, Claus Weihs, Mohamed Limam
2011	J	`jnl`	An assessment of the kernel-distance-based multivariate control chart through an industrial application. Qual. Reliab. Eng. Int. Walid Gani, Hassen Taleb, Mohamed Limam
2011	—	`conf`	DM-pred Method: A New Method to Predict Secondary Structures Based on Data Mining Techniques. DEXA Workshops Sondes Fayech, Nadia Essoussi, Mohamed Limam
2011	J	`jnl`	RST-GCBR-Clustering-Based RGA-SVM Model for Corporate Failure Prediction. Intell. Syst. Account. Finance Manag. Fedya Telmoudi, Mohamed El Ghourabi, Mohamed Limam
2011	J	`jnl`	Variable window adaptive Kernel Principal Component Analysis for nonlinear nonstationary process monitoring. Comput. Ind. Eng. Ben Khediri Issam, Mohamed Limam, Claus Weihs
2010	—	`conf`	Solving data fusion problems using robust classifiers combination. SoCPaR Afef Ben Brahim, Riadh Khanchel, Mohamed Limam
2009	J	`jnl`	Bayesian np control charts with adaptive sample size for finite production runs. Qual. Reliab. Eng. Int. Imen Kooli, Mohamed Limam
2009	J	`jnl`	Partitioning clustering algorithms for protein sequence data sets. BioData Min. Sondes Fayech, Nadia Essoussi, Mohamed Limam
2008	J	`jnl`	Support vector regression based residual MCUSUM control chart for autocorrelated process. Appl. Math. Comput. Ben Khediri Issam, Mohamed Limam
2006	J	`jnl`	On Mining Summaries by Objective Measures of Interestingness. Mach. Learn. Naim Zbidi, Sami Faïz, Mohamed Limam
2005	—	`conf`	Fuzzy Multinomial Control Charts. AI*IA Hassen Taleb, Mohamed Limam
2004	—	`conf`	Empirical Comparison of Boosting Algorithms. GfKl Riadh Khanchel, Mohamed Limam