| 2025 | AINA | Mixture of Incremental SVM-Based Experts for Enhanced QoE Prediction in Video Streaming. | Radhia Elwerghemmi, Riadh Ksantini, Ridha Bouallegue |
| 2025 | AINA | 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 |
| 2025 | IWCMC | Plant Disease Clustering System using Dynamic Auto-Encoder. | Dorra Zaibi, Alya Alkameli, Riadh Ksantini |
| 2024 | IJCNN | DfHM: A Hierarchical Approach for Matching Pairs of Images Using Graph Attention Neural Networks. | Mohamed Amine Ouali, Mohamed Bouguessa, Riadh Ksantini |
| 2024 | KES | A novel mixture of ensemble learning experts for the assessment of the quality of experience. | Radhia Elwerghemmi, Dorra Zaibi, Riadh Ksantini, Ridha Bouallegue |
| 2023 | ICCCI | Learning Human Postures Using Lab-Depth HOG Descriptors. | Safa Mefteh, Mohamed Bcha Kaniche, Riadh Ksantini, Adel Bouhoula |
| 2023 | ICDE | Adversarial Deep Embedded Clustering: On a better trade-off between Feature Randomness and Feature Drift (Extended abstract). | Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini |
| 2023 | ICDE | Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering (Extended abstract). | Nairouz Mrabah, Mohamed Bouguessa, Mohamed Fawzi Touati, Riadh Ksantini |
| 2023 | INISTA | 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 |
| 2023 | SDM | Beyond The Evidence Lower Bound: Dual Variational Graph Auto-Encoders For Node Clustering. | Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini |
| 2022 | DSAA | Graph Attention Network for Camera Relocalization on Dynamic Scenes. | Mohamed Amine Ouali, Mohamed Bouguessa, Riadh Ksantini |
| 2022 | ICCCI | Detection of Breast Masses in Mammograms by Incremental Discriminant Based Support Vector Machine Classifier and Active User Involvement. | Marwa Salhi, Riadh Ksantini, Belhassen Zouari |
| 2022 | IJCAI | Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering. | Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini |
| 2020 | ISVC | Coarse-to-Fine Object Tracking Using Deep Features and Correlation Filters. | Ahmed Zgaren, Wassim Bouachir, Riadh Ksantini |
| 2020 | SOFTCOM | A Low Inertia Guided Auto-Encoder for Anomaly Detection in Networks. | Yves Nsoga Nguimbous, Riadh Ksantini, Adel Bouhoula |
| 2019 | AINA | Implicit and Continuous Authentication of Smart Home Users. | Noureddine Amraoui, Amine Besrour, Riadh Ksantini, Belhassen Zouari |
| 2019 | SOFTCOM | Optimization of Parallel Firewalls Filtering Rules. | Taha Elamine Hadjadj, Rim Tebourbi, Adel Bouhoula, Riadh Ksantini |
| 2019 | SOFTCOM | Anomaly-based Intrusion Detection Using Auto-encoder. | Yves Nsoga Nguimbous, Riadh Ksantini, Adel Bouhoula |
| 2018 | AINA | A Novel Online QoE Prediction Model Based on Multiclass Incremental Support Vector Machine. | Yosr Ben Youssef, Mriem Afif, Riadh Ksantini, Sami Tabbane |
| 2018 | ATSIP | A novel incremental face recognition method based on nonparametric discriminant model. | Arbia Soula, Salma Ben Said, Riadh Ksantini, Zied Lachiri |
| 2018 | WCNC | A novel QoE model based on boosting support vector regression. | Yosr Ben Youssef, Mriem Afif, Riadh Ksantini, Sami Tabbane |
| 2017 | ACIVS | Human Face Detection Improvement Using Incremental Learning Based on Low Variance Directions. | Takoua Kefi, Riadh Ksantini, Mohamed Bcha Kaniche, Adel Bouhoula |
| 2017 | ATSIP | Landmine detection improvement using one-class SVM for unbalanced data. | Khaoula Tbarki, Salma Ben Said, Riadh Ksantini, Zied Lachiri |
| 2014 | ICASSP | Volume visualization using sparse nonparametric support vector machines and harmoniccolors. | Naimul Mefraz Khan, Riadh Ksantini, Ling Guan |
| 2013 | ICASSP | Incorporating covariance information in one class support vector classification. | Naimul Mefraz Khan, Riadh Ksantini, Imran Shafiq Ahmad, Ling Guan |
| 2012 | ICANN | A Sparse Support Vector Machine Classifier with Nonparametric Discriminants. | Naimul Mefraz Khan, Riadh Ksantini, Imran Shafiq Ahmad, Ling Guan |
| 2008 | AAAI | A Bayesian Kernel Logistic Discriminant Model: An Improvement to the Kernel Fisher's Discriminant. | Riadh Ksantini, Djemel Ziou, Bernard Colin, Franois Dubeau |
| 2007 | IJCAI | Logistic Regression Models for a Fast CBIR Method Based on Feature Selection. | Riadh Ksantini, Djemel Ziou, Bernard Colin, Franois Dubeau |