Mohamed Limam

发表

Fuzzy Multinomial Control Charts

Hassen Taleb, Mohamed Limam, 2005, AI*IA.

F. TELMOUDI ET AL.

Mohamed Limam, Fedya Telmoudi, Mohamed El Ghourabi, 2011 .

Feature Selection by Rank Aggregation and Genetic Algorithms

Mohamed Limam, Bouaguel Waad, Afef Ben Brahim, 2013, KDIR/KMIS.

A comparison of MSA tools

Nadia Essoussi, Mohamed Limam, Khaddouja Boujenfa, 2008, Bioinformation.

Discovering Multi-sense Features from Images Using Random Indexing

Mohamed Limam, Haïfa Nakouri, 2014, ICAISC.

An improved multi-SOM algorithm

Mohamed Limam, Khaddouja Boujenfa, Imèn Khanchouch, 2015 .

Partitioning clustering algorithms for protein sequence data sets

Nadia Essoussi, Mohamed Limam, Sondes Fayech, 2009, BioData Mining.

Discovering Features Contexts from Images Using Random Indexing

Mohamed Limam, Haïfa Nakouri, 2014, IWCIA.

A Three-Stage Process to Detect Outliers and False Positives Generated by Intrusion Detection Systems

Mohamed Limam, Fatma Hachmi, Khadouja Boujenfa, 2015, 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing.

Robust ensemble feature selection for high dimensional data sets

Mohamed Limam, Afef Ben Brahim, M. Limam, 2013, 2013 International Conference on High Performance Computing & Simulation (HPCS).

Support Vector Regression control charts for multivariate nonlinear autocorrelated processes

Mohamed Limam, Claus Weihs, Issam Ben Khediri, 2010 .

Variable window adaptive Kernel Principal Component Analysis for nonlinear nonstationary process monitoring

Claus Weihs, Mohamed Limam, Ben Khediri Issam, 2011, Comput. Ind. Eng..

A THREE-STAGE FEATURE SELECTION USING QUADRATIC PROGRAMMING FOR CREDIT SCORING

Mohamed Limam, Bouaguel Waad, Ghazi Bel Mufti, 2013, Appl. Artif. Intell..

Robust Generalized Low Rank Approximation of Matrices for image recognition

Mohamed Limam, Haïfa Nakouri, H. Nakouri, 2016, 2016 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT).

Kernel-Based Methods to Identify Overlapping Clusters with Linear and Nonlinear Boundaries

Nadia Essoussi, Mohamed Limam, Chiheb-Eddine Ben N'cir, 2015, J. Classif..

An Improved Multi-SOM Algorithm for Determining the Optimal Number of Clusters

Mohamed Limam, Imèn Khanchouch, Malika Charrad, 2016 .

Hyperspectral data classification using geostatistics and support vector machines

Nadia Essoussi, Mohamed Limam, S. Bahria, 2011 .

Monitoring a Dynamic Weighted Majority Method Based on Datasets with Concept Drift

Claus Weihs, Mohamed Limam, Dhouha Mejri, 2014, ECDA.

An Improved BG/NBD Approach for Modeling Purchasing Behavior Using COM-Poisson Distribution

Mohamed Limam, Mohamed Ben Mzoughia, 2014 .

AF Detection and ECG Classification based on Convolutional Recurrent Neural Network.

Frédéric Precioso, Mohamed Limam, 2017 .

Kernel k-means clustering based local support vector domain description fault detection of multimodal processes

Claus Weihs, Mohamed Limam, Ben Khediri Issam, 2012, Expert Syst. Appl..

Bayesian np control charts with adaptive sample size for finite production runs

Mohamed Limam, Imen Kooli, M. Limam, 2009, Qual. Reliab. Eng. Int..

A MCMC approach for modeling customer lifetime behavior using the COM‐Poisson distribution

Mohamed Limam, Sharad Borle, Mohamed Ben Mzoughia, 2018 .

Automatic Feature Detection and Clustering Using Random Indexing

Mohamed Limam, Haïfa Nakouri, 2014, ICISP.

CLV Model Selection for Segmentation Perspective

Mohamed Limam, Mohamed Ben Mzoughia, 2016 .

Data mining techniques to predict protein secondary structures

Nadia Essoussi, Mohamed Limam, Sondes Fayech, 2013, 2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO).

Quality management practices and their impact on performance

Mohamed Limam, Federico Pasin, Lassâad Lakhal, 2006 .

A Comparative Study of Multi-SOM Algorithms for Determining the Optimal Number of Clusters

Malika Charrad, Mohamed Limam, Imèn Khanchouch, 2015 .

RST-GCBR-Clustering-Based RGA-SVM Model for Corporate Failure Prediction

Mohamed Limam, Fedya Telmoudi, Mohamed El Ghourabi, 2011, Intell. Syst. Account. Finance Manag..

Erratum: "a New Bilinear Approach for Incremental Visual Learning and Recognition"

Mohamed Limam, Haïfa Nakouri, 2013, Int. J. Pattern Recognit. Artif. Intell..

Extension of Robust Principal Component Analysis for Incremental Face Recognition

Mohamed Limam, Haïfa Nakouri, H. Nakouri, 2013, VISAPP.

Empirical Comparison of Boosting Algorithms

Mohamed Limam, Riadh Khanchel, 2004, GfKl.

An Ensemble Wrapper Feature Selection for Credit Scoring

Mohamed Limam, Bouaguel Waad, 2014, SocProS.

Consensus Decision for Protein Structure Classification

Mohamed Limam, Khaddouja Boujenfa, 2012 .

Combining Feature Selection and Data Classification Using Ensemble Approaches: Application to Cancer Diagnosis and Credit Scoring

Mohamed Limam, Afef Ben Brahim, Waad Bouaguel, 2014 .

Performance Evaluation of One‐Class Classification‐based Control Charts through an Industrial Application

Mohamed Limam, Walid Gani, M. Limam, 2013, Qual. Reliab. Eng. Int..

CONSENSUS FUNCTIONS FOR CLUSTER ENSEMBLES

Mohamed Limam, Ghaith Manita, Riadh Khanchel, 2012, Appl. Artif. Intell..

An Improved Intrusion Detection System Based on a Two Stage Alarm Correlation to Identify Outliers and False Alerts

Mohamed Limam, Fatma Hachmi, 2015, MIKE.

Ensemble feature selection for high dimensional data: a new method and a comparative study

Mohamed Limam, Afef Ben Brahim, M. Limam, 2017, Advances in Data Analysis and Classification.

A new dynamic weighted majority control chart for data streams

Claus Weihs, Mohamed Limam, Dhouha Mejri, 2016, Soft Computing.

Residual Responses to Change Patterns of Autocorrelated Processes

Mohamed Limam, Mohamed El Ghourabi, 2007 .

DM-pred Method: A New Method to Predict Secondary Structures Based on Data Mining Techniques

Nadia Essoussi, Mohamed Limam, Sondes Fayech, 2011, 2011 22nd International Workshop on Database and Expert Systems Applications.

A new financial stress index model based on support vector regression and control chart

Mohamed Limam, Mohamed El Ghourabi, Amira Dridi, 2015 .

A New Way for Combining Filter Feature Selection Methods

Mohamed Limam, Waad Bouaguel, 2016 .

Incremental robust principal component analysis for face recognition using ridge regression

Mohamed Limam, Haïfa Nakouri, 2017, Int. J. Biom..

A One-Class Classification-Based Control Chart Using the -Means Data Description Algorithm

Mohamed Limam, Walid Gani, M. Limam, 2014 .

An optimization process to identify outliers generated by intrusion detection systems

Mohamed Limam, Fatma Hachmi, Khadouja Boujenfa, 2015, Secur. Commun. Networks.

Mohamed Limam, Bouaguel Waad, Ghazi Bel Mufti, 2013, MIKE.

A multicriterion segmentation approach based on CLV components

Mohamed Limam, Mohamed Ben Mzoughia, 2014, 2014 IEEE 15th International Symposium on Computational Intelligence and Informatics (CINTI).

On parameters optimization of dynamic weighted majority algorithm based on genetic algorithm

Claus Weihs, Mohamed Limam, Dhouha Mejri Isg Tunis, 2013, 2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO).

Economic design of attribute np control charts using a variable sampling policy

Mohamed Limam, Imen Kooli, 2015 .

A hybrid feature selection method based on instance learning and cooperative subset search

Mohamed Limam, Afef Ben Brahim, M. Limam, 2016, Pattern Recognit. Lett..

An assessment of the kernel‐distance‐based multivariate control chart through an industrial application

Hassen Taleb, Mohamed Limam, Walid Gani, 2011, Qual. Reliab. Eng. Int..

Economically Designed Bayesian np Control Charts Using Dual Sample Sizes for Long-Run Processes

Mohamed Limam, Imen Kooli, 2019 .

On the Use of the K-Chart for Phase II Monitoring of Simple Linear Profiles

Mohamed Limam, Walid Gani, 2013 .

A New Bilinear Approach for Incremental Visual Learning and Recognition

Mohamed Limam, Haïfa Nakouri, 2013, Int. J. Pattern Recognit. Artif. Intell..

Rank Aggregation for Filter Feature Selection in Credit Scoring

Mohamed Limam, Bouaguel Waad, Ghazi Bel Mufti, 2013, MIKE.

On conditional risk estimation considering model risk

Mohamed Limam, Fedya Telmoudi, Mohamed EL Ghourabi, 2016 .

Enhancing the Accuracy of Intrusion Detection Systems by Reducing the Rates of False Positives and False Negatives Through Multi-objective Optimization

Mohamed Limam, Fatma Hachmi, Khadouja Boujenfa, 2018, Journal of Network and Systems Management.

Sequential Instance Based Feature Subset Selection for High Dimensional Data

Mohamed Limam, Afef Ben Brahim, 2015, MIKE.

Robust Low-Rank Approximation of Images for Background and Foreground Separation

Mohamed Limam, Haïfa Nakouri, Mhamed-Ali El-Aroui, 2017, 2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT).

New prior knowledge based extensions for stable feature selection

Mohamed Limam, Afef Ben Brahim, M. Limam, 2014, 2014 6th International Conference of Soft Computing and Pattern Recognition (SoCPaR).

Solving data fusion problems using robust classifiers combination

Mohamed Limam, Afef Ben Brahim, Riadh Khanchel, 2010, 2010 International Conference of Soft Computing and Pattern Recognition.

An Incremental Two-Dimensional Principal Component Analysis for Image Compression and Recognition

Mohamed Limam, Haïfa Nakouri, H. Nakouri, 2016, 2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS).

A New Method to Predict Secondary Structures Based on Data Mining Techniques

Nadia Essoussi, Mohamed Limam, Sondes Fayech, 2011 .

Combination of Several Control Charts Based on Dynamic Ensemble Methods

Claus Weihs, Mohamed Limam, Dhouha Mejri, 2017 .

A Two-Stage Process Based on Data Mining and Optimization to Identify False Positives and False Negatives Generated by Intrusion Detection Systems

Mohamed Limam, Fatma Hachmi, 2015, 2015 11th International Conference on Computational Intelligence and Security (CIS).