N. Farah

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D Face recognition using covariance based descriptors

David Declercq, Nadir Farah, Hedi Tabia, 2016 .

Efficient Graph-based Kernel using Covariance Descriptors for 3D Facial Expression Classification

W. Hariri, N. Farah, 2020 .

A Novel Arabic Baseline Estimation Algorithm Based on Sub-Words Treatment

Nadir Farah, Hanene Boukerma, N. Farah, 2010, 2010 12th International Conference on Frontiers in Handwriting Recognition.

/r/-Letter disorder diagnosis (/r/-LDD): Arabic speech database development for automatic diagnosis of childhood speech disorders (Case study)

N. Farah, N. Hammami, M. Bedda, 2015, 2015 Intelligent Systems and Computer Vision (ISCV).

Tree distributions approximation model for robust discrete speech recognition

N. Farah, N. Hammami, M. Bedda, 2012, Int. J. Speech Technol..

Hierarchical covariance description for 3D face matching and recognition under expression variation

David Declercq, Nadir Farah, Hedi Tabia, 2016, 2016 International Conference on 3D Imaging (IC3D).

3D face recognition using covariance based descriptors

David Declercq, Nadir Farah, Hedi Tabia, 2016, Pattern Recognit. Lett..

Rule Based Neural Networks Construction for Handwritten Arabic City-Names Recognition

Mokhtar Sellami, Nadir Farah, Labiba Souici-Meslati, 2004, AIMSA.

Recognition of 3D emotional facial expression based on handcrafted and deep feature combination

Nadir Farah, Walid Hariri, N. Farah, 2021, Pattern Recognit. Lett..

Optimized Tumor Breast Cancer Classification Using Combining Random Subspace and Static Classifiers Selection Paradigms

Nilanjan Dey, Nadir Farah, Nabiha Azizi, 2016, Applications of Intelligent Optimization in Biology and Medicine.

Preprocessing Algorithms for Arabic Handwriting Recognition Systems

N. Farah, H. Boukerma, N. Farah, 2012, 2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT).

Deep and Shallow Covariance Feature Quantization for 3D Facial Expression Recognition pdf

Nadir Farah, Dinesh Kumar Vishwakarma, Walid Hariri, 2021, ArXiv.

Geometrical and Visual Feature Quantization for 3D Face Recognition

David Declercq, Nadir Farah, Hedi Tabia, 2017, VISIGRAPP.

3D facial expression recognition using kernel methods on Riemannian manifold

David Declercq, Nadir Farah, Hedi Tabia, 2017, Eng. Appl. Artif. Intell..

The efficiency of the NSHPZ-HMM: theoretical and practical study

M. Cheriet, N. Farah, H. Boukerma, 2018, Applied Intelligence.

Using Diversity in Classifier Set Selection for Arabic Handwritten Recognition

Mokhtar Sellami, Nadir Farah, Nabiha Azizi, 2010, MCS.

Classifiers combination and syntax analysis for Arabic literal amount recognition

Mokhtar Sellami, Nadir Farah, Labiba Souici-Meslati, 2006, Eng. Appl. Artif. Intell..

Arabic Word Recognition by Classifiers and Context

Mokhtar Sellami, Nadir Farah, Labiba Souici-Meslati, 2005, Journal of Computer Science and Technology.

Arabic Words Recognition with Classifiers Combination: An Application to Literal Amounts

Mokhtar Sellami, Nadir Farah, Labiba Souici-Meslati, 2004, AIMSA.

A new hybrid method combining genetic algorithm and support vector machine classifier: Application to CAD system for mammogram images

Mokhtar Sellami, Nadir Farah, Nabiha Azizi, 2014, 2014 International Conference on Multimedia Computing and Systems (ICMCS).

Kernel based classifiers fusion with features diversity for breast masses classification

Nadir Farah, Nabiha Azizi, Nawel Zemmal, 2013, 2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA).

Multi-stage dynamic ensemble selection using heterogeneous learning algorithms: application on classification problems

Nadir Farah, Nabiha Azizi, Mohamed Tarek Khadir, 2015 .

From static to dynamic ensemble of classifiers selection: Application to Arabic handwritten recognition

Nadir Farah, Nabiha Azizi, N. Farah, 2012, Int. J. Knowl. Based Intell. Eng. Syst..

Spoken Arabic Digits recognition using MFCC based on GMM

M. Bedda, N. Farah, N. Hammami, 2012, 2012 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (STUDENT).

Benefit of multiclassifier systems for Arabic handwritten words recognition

F. Nadir, E. Abdelatif, K. Tarek, 2005, Eighth International Conference on Document Analysis and Recognition (ICDAR'05).

Artificial neural network fusion: Application to Arabic words recognition

Mokhtar Sellami, Nadir Farah, Tarek Khadir, 2005, ESANN.

Localisation of topological features using 3D object representations

Nadir Farah, Djemel Ziou, Med Tarek Khadir, 2017, IET Image Process..

Spoken Arabic Digits Recognition Based on (GMM) for E-Quran Voice Browsing: Application for Blind Category

Nadir Farah, Nacereddine Hammami, Mouldi Bedda, 2013, 2013 Taibah University International Conference on Advances in Information Technology for the Holy Quran and Its Sciences.

The second-order derivatives of MFCC for improving spoken Arabic digits recognition using Tree distributions approximation model and HMMs

Nacereddine Hammami, M. Bedda, F. Nadir, 2012, 2012 International Conference on Communications and Information Technology (ICCIT).