Non-uniform Haar wavelets. - François Dubeau; Said Elmejdani; Riadh Ksantini (Appl. Math. Comput., 2004)

Image Retrieval Based on Region Separation and Multiresolution Analysis. - Riadh Ksantini; Djemel Ziou; François Dubeau (Int. J. Wavelets Multiresolution Inf. Process., 2006)

Logistic Regression Models for a Fast CBIR Method Based on Feature Selection. - Riadh Ksantini; Djemel Ziou; Bernard Colin; François Dubeau (IJCAI, 2007)

A Bayesian Kernel Logistic Discriminant Model: An Improvement to the Kernel Fisher's Discriminant. - Riadh Ksantini; Djemel Ziou; Bernard Colin; François Dubeau (AAAI, 2008)

Weighted Pseudometric Discriminatory Power Improvement Using a Bayesian Logistic Regression Model Based on a Variational Method. - Riadh Ksantini; Djemel Ziou; Bernard Colin; François Dubeau (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

An Efficient and Fast Active Contour Model for Salient Object Detection. - Riadh Ksantini; Farnaz Shariat; Boubakeur Boufama (CRV, 2009)

A Novel Bayesian Logistic Discriminant Model with Dirichlet Distributions: An Application to Face Recognition. - Riadh Ksantini; Boubakeur Boufama (ICIAR, 2009)

A novel eigenspace-based method for human action recognition. - Abdunnaser Diaf; Rachid Benlamri; Boubakeur Boufama; Riadh Ksantini (ICDIM, 2010)

A new combined KSVM and KFD model for classification and recognition. - Riadh Ksantini; Boubakeur Boufama; Imran Shafiq Ahmad; Naimul Mefraz Khan (ICDIM, 2010)

A Novel Human Motion Recognition Method Based on Eigenspace. - Abdunnaser Diaf; Riadh Ksantini; Boubakeur Boufama; Rachid Benlamri (ICIAR (1), 2010)

A New SVM + NDA Model for Improved Classification and Recognition. - Naimul Mefraz Khan; Riadh Ksantini; Imran Shafiq Ahmad; Boubakeur Boufama (ICIAR (1), 2010)

A novel Bayesian logistic discriminant model: An application to face recognition. - Riadh Ksantini; Boubakeur Boufama; Djemel Ziou; Bernard Colin (Pattern Recognit., 2010)

A New KSVM + KFD Model for Improved Classification and Face Recognition. - Riadh Ksantini; Boubakeur Boufama; Imran Shafiq Ahmad (J. Multim., 2011)

A Sparse Support Vector Machine Classifier with Nonparametric Discriminants. - Naimul Mefraz Khan; Riadh Ksantini; Imran Shafiq Ahmad; Ling Guan (ICANN (2), 2012)

Combining partially global and local characteristics for improved classification. - Riadh Ksantini; Boubakeur Boufama (Int. J. Mach. Learn. Cybern., 2012)

A novel SVM+NDA model for classification with an application to face recognition. - Naimul Mefraz Khan; Riadh Ksantini; Imran Shafiq Ahmad; Boubakeur Boufama (Pattern Recognit., 2012)

Incorporating covariance information in one class support vector classification. - Naimul Mefraz Khan; Riadh Ksantini; Imran Shafiq Ahmad; Ling Guan (ICASSP, 2013)

A new efficient active contour model without local initializations for salient object detection. - Riadh Ksantini; Boubakeur Boufama; Sara Memar (EURASIP J. Image Video Process., 2013)

Volume visualization using sparse nonparametric support vector machines and harmoniccolors. - Naimul Mefraz Khan; Riadh Ksantini; Ling Guan (ICASSP, 2014)

Multiple Object Detection with Occlusion Using Active Contour Model and Fuzzy C-Mean. - Sara Memar; Riadh Ksantini; Boubakeur Boufama (ICIAR (1), 2014)

Covariance-guided One-Class Support Vector Machine. - Naimul Mefraz Khan; Riadh Ksantini; Imran Shafiq Ahmad; Ling Guan (Pattern Recognit., 2014)

SN-SVM: a sparse nonparametric support vector machine classifier. - Naimul Mefraz Khan; Riadh Ksantini; Imran Shafiq Ahmad; Ling Guan (Signal Image Video Process., 2014)

A Novel Kernelized Classifier Based on the Combination of Partially Global and Local Characteristics. - Riadh Ksantini; Raouf Gharbi (LWA, 2015)

RBF kernel based SVM classification for landmine detection and discrimination. - Khaoula Tbarki; Salma Ben Said; Riadh Ksantini; Zied Lachiri (IPAS, 2016)

A Novel Incremental Covariance-Guided One-Class Support Vector Machine. - Takoua Kefi; Riadh Ksantini; Mohamed Bécha Kaâniche; Adel Bouhoula (ECML/PKDD (2), 2016)

Incremental One-Class Models for Data Classification. - Takoua Kefi; Riadh Ksantini; Mohamed Bécha Kaâniche; Adel Bouhoula (CoRR, 2016)

Landmine detection improvement using one-class SVM for unbalanced data. - Khaoula Tbarki; Salma Ben Said; Riadh Ksantini; Zied Lachiri (ATSIP, 2017)

A novel face recognition system base on nonparametric discriminant analysis. - Arbia Soula; Riadh Ksantini; Salma Ben Said; Zied Lachiri (ICCAD, 2017)

One-class SVM for landmine detection and discrimination. - Khaoula Tbarki; Salma Ben Said; Riadh Ksantini; Zied Lachiri (ICCAD, 2017)

A Novel Image-centric Approach Towards Direct Volume Rendering. - Naimul Mefraz Khan; Riadh Ksantini; Ling Guan (CoRR, 2017)

A Novel Online QoE Prediction Model Based on Multiclass Incremental Support Vector Machine. - Yosr Ben Youssef; Mériem Afif; Riadh Ksantini; Sami Tabbane (AINA, 2018)

A novel incremental face recognition method based on nonparametric discriminant model. - Arbia Soula; Salma Ben Said; Riadh Ksantini; Zied Lachiri (ATSIP, 2018)

A Novel Handwritten Digits Recognition Method based on Subclass Low Variances Guided Support Vector Machine. - Soumaya Nheri; Riadh Ksantini; Mouhamed Bécha Kaâniche; Adel Bouhoula (VISIGRAPP (4: VISAPP), 2018)

A novel QoE model based on boosting support vector regression. - Yosr Ben Youssef; Mériem Afif; Riadh Ksantini; Sami Tabbane (WCNC, 2018)

A Novel Image-Centric Approach Toward Direct Volume Rendering. - Naimul Mefraz Khan; Riadh Ksantini; Ling Guan (ACM Trans. Intell. Syst. Technol., 2018)

Implicit and Continuous Authentication of Smart Home Users. - Noureddine Amraoui; Amine Besrour; Riadh Ksantini; Belhassen Zouari (AINA, 2019)

Anomaly-based Intrusion Detection Using Auto-encoder. - Yves Nsoga Nguimbous; Riadh Ksantini; Adel Bouhoula (SoftCOM, 2019)

A Novel Multispectral Lab-depth based Edge Detector for Color Images with Occluded Objects. - Safa Mefteh; Mohamed Bécha Kaâniche; Riadh Ksantini; Adel Bouhoula (VISIGRAPP (4: VISAPP), 2019)

Deep Clustering with a Dynamic Autoencoder. - Nairouz Mrabah; Naimul Mefraz Khan; Riadh Ksantini (CoRR, 2019)

Incremental Subclass Support Vector Machine. - Amine Besrour; Riadh Ksantini (Int. J. Artif. Intell. Tools, 2019)

An Adaptive Face Recognition System Based on a Novel Incremental Kernel Nonparametric Discriminant Analysis. - Arbia Soula; Salma Ben Said; Riadh Ksantini; Zied Lachiri (KSII Trans. Internet Inf. Syst., 2019)

A novel incremental one-class support vector machine based on low variance direction. - Takoua Kefi-Fatteh; Riadh Ksantini; Mohamed Bécha Kaâniche; Adel Bouhoula (Pattern Recognit., 2019)

Human face detection improvement using incremental learning based on low variance directions. - Takoua Kefi-Fatteh; Riadh Ksantini; Mohamed Bécha Kaâniche; Adel Bouhoula (Signal Image Video Process., 2019)

Securing Smart Homes using a Behavior Analysis based Authentication Approach. - Noureddine Amraoui; Amine Besrour; Riadh Ksantini; Belhassen Zouari (COMNET, 2020)

Coarse-to-Fine Object Tracking Using Deep Features and Correlation Filters. - Ahmed Zgaren; Wassim Bouachir; Riadh Ksantini (ISVC (1), 2020)

A Low Inertia Guided Auto-Encoder for Anomaly Detection in Networks. - Yves Nsoga Nguimbous; Riadh Ksantini; Adel Bouhoula (SoftCOM, 2020)

A Novel Dispersion Covariance-guided One-Class Support Vector Machines. - Soumaya Nheri; Riadh Ksantini; Mohamed Bécha Kaâniche; Adel Bouhoula (VISIGRAPP (4: VISAPP), 2020)

A novel incremental Kernel Nonparametric SVM model (iKN-SVM) for data classification: An application to face detection. - Arbia Soula; Khaoula Tbarki; Riadh Ksantini; Salma Ben Said; Zied Lachiri (Eng. Appl. Artif. Intell., 2020)

Deep clustering with a Dynamic Autoencoder: From reconstruction towards centroids construction. - Nairouz Mrabah; Naimul Mefraz Khan; Riadh Ksantini; Zied Lachiri (Neural Networks, 2020)

Data warehouse for machine learning: application to breast cancer diagnosis. - Marwa Ben Ammar; Faten Labbene Ayachi; Riadh Ksantini; Halima Mahjoubi (CENTERIS/ProjMAN/HCist, 2021)

A Dynamically Weighted Loss Function for Unsupervised Image Segmentation. - Boujemaa Guermazi; Riadh Ksantini; Naimul Khan 001 (BigMM, 2022)

Graph Attention Network for Camera Relocalization on Dynamic Scenes. - Mohamed Amine Ouali; Mohamed Bouguessa; Riadh Ksantini (DSAA, 2022)

Detection of Breast Masses in Mammograms by Incremental Discriminant Based Support Vector Machine Classifier and Active User Involvement. - Marwa Salhi; Riadh Ksantini; Belhassen Zouari (ICCCI (CCIS Volume), 2022)

Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering. - Nairouz Mrabah; Mohamed Bouguessa; Riadh Ksantini (IJCAI, 2022)

Optimization of parallel firewalls filtering rules. - Taha Elamine Hadjadj; Adel Bouhoula; Rim Tebourbi; Riadh Ksantini (Int. J. Inf. Sec., 2022)

A real-time image-centric transfer function design based on incremental classification. - Marwa Salhi; Riadh Ksantini; Belhassen Zouari (J. Real Time Image Process., 2022)

Convolutional dynamic auto-encoder: a clustering method for semantic images. - Zahra Mohamed; Riadh Ksantini; Jihene Kaabi (Neural Comput. Appl., 2022)

Deep Learning Techniques for Smart Meter Data Analytics: A Review. - Elham Eskandarnia; Hesham Al-Ammal; Riadh Ksantini; Mustafa Hammad (SN Comput. Sci., 2022)

Adversarial Deep Embedded Clustering: On a Better Trade-off Between Feature Randomness and Feature Drift. - Nairouz Mrabah; Mohamed Bouguessa; Riadh Ksantini (IEEE Trans. Knowl. Data Eng., 2022)

Deep Interactive Volume Exploration Through Pre-Trained 3D CNN and Active Learning. - Marwa Salhi; Riadh Ksantini; Belhassen Zouari (VISIGRAPP (1: GRAPP), 2023)

Learning Human Postures Using Lab-Depth HOG Descriptors. - Safa Mefteh; Mohamed Bécha Kaâniche; Riadh Ksantini; Adel Bouhoula (ICCCI, 2023)

Adversarial Deep Embedded Clustering: On a better trade-off between Feature Randomness and Feature Drift (Extended abstract). - Nairouz Mrabah; Mohamed Bouguessa; Riadh Ksantini (ICDE, 2023)

Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering (Extended abstract). - Nairouz Mrabah; Mohamed Bouguessa; Mohamed Fawzi Touati; Riadh Ksantini (ICDE, 2023)

Pre-Trained Deep Convolutional Neural Network Architectures for Breast Cancer Diagnosis in Mammography: Current State-Of-The-Art. - Marwa Ben Ammar; Faten Labbene Ayachi; Riadh Ksantini; Halima Mahjoubi (INISTA, 2023)

Beyond The Evidence Lower Bound: Dual Variational Graph Auto-Encoders For Node Clustering. - Nairouz Mrabah; Mohamed Bouguessa; Riadh Ksantini (SDM, 2023)

Exploiting scatter matrix on one-class support vector machine based on low variance direction. - Soumaya Nheri; Riadh Ksantini; Mohamed Bécha Kaâniche; Adel Bouhoula (Intell. Data Anal., 2023)

A novel multispectral corner detector and a new local descriptor: an application to human posture recognition. - Safa Mefteh; Mohamed Bécha Kaâniche; Riadh Ksantini; Adel Bouhoula (Multim. Tools Appl., 2023)

A Novel Intrusion Detection System for Internet of Healthcare Things Based on Deep Subclasses Dispersion Information. - Marwa Fouda; Riadh Ksantini; Wael Elmedany (IEEE Internet Things J., 2023)

Sequential Artificial Intelligence Models to Forecast Urban Solid Waste in the City of Sousse, Tunisia. - Haifa Jammeli; Riadh Ksantini; Fouad Ben Abdelaziz; Hatem Masri (IEEE Trans. Engineering Management, 2023)

Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering. - Nairouz Mrabah; Mohamed Bouguessa; Mohamed Fawzi Touati; Riadh Ksantini (IEEE Trans. Knowl. Data Eng., 2023)

DfHM: A Hierarchical Approach for Matching Pairs of Images Using Graph Attention Neural Networks. - Mohamed Amine Ouali; Mohamed Bouguessa; Riadh Ksantini (IJCNN, 2024)

A novel mixture of ensemble learning experts for the assessment of the quality of experience. - Radhia Elwerghemmi; Dorra Zaibi; Riadh Ksantini; Ridha Bouallegue (KES, 2024)

Adopting security practices in software development process: Security testing framework for sustainable smart cities. - Yusuf Mothanna; Wael Elmedany; Mustafa Hammad; Riadh Ksantini; Mhd Saeed Sharif (Comput. Secur., 2024)

Toward a CNN-based approach for usability requirements generation. - Dorra Zaibi; Riadh Ksantini; Meriem Riahi; Faouzi Moussa (Int. J. Appl. Decis. Sci., 2024)

DynaSeg: A deep dynamic fusion method for unsupervised image segmentation incorporating feature similarity and spatial continuity. - Boujemaa Guermazi; Riadh Ksantini; Naimul Khan 001 (Image Vis. Comput., 2024)

A contrastive variational graph auto-encoder for node clustering. - Nairouz Mrabah; Mohamed Bouguessa; Riadh Ksantini (Pattern Recognit., 2024)

Mixture of Incremental SVM-Based Experts for Enhanced QoE Prediction in Video Streaming. - Radhia Elwerghemmi; Riadh Ksantini; Ridha Bouallegue (AINA (1), 2025)

Toward a Mixture of Ensemble Learning Method-Based Experts for Evaluating the Quality of Experience in Video Streaming. - Radhia Elwerghemmi; Dorra Zaibi; Riadh Ksantini; Ridha Bouallegue (AINA (1), 2025)

Plant Disease Clustering System using Dynamic Auto-Encoder. - Dorra Zaibi; Alya Alkameli; Riadh Ksantini (IWCMC, 2025)

One-class IoT anomaly detection system using an improved interpolated deep SVDD autoencoder with adversarial regularizer. - Abdulkarim Katbi; Riadh Ksantini (Digit. Signal Process., 2025)

Rethinking deep clustering paradigms: Self-supervision is all you need. - Amal Shaheen; Nairouz Mrabah; Riadh Ksantini; Abdulla Alqaddoumi (Neural Networks, 2025)