Riadh Ksantini

91 papers A* 5A 3B 9C 2Misc 7Journal 44Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DynaGuide: A Generalizable Dynamic Guidance Framework for Unsupervised Semantic Segmentation. CoRR Boujemaa Guermazi, Riadh Ksantini, Naimul Mefraz Khan
2025	J	`jnl`	DynaGuide: A generalizable dynamic guidance framework for zero-shot guided unsupervised semantic segmentation. Image Vis. Comput. Boujemaa Guermazi, Riadh Ksantini, Naimul Khan
2025	—	`conf`	Mixture of Incremental SVM-Based Experts for Enhanced QoE Prediction in Video Streaming. AINA (1) Radhia Elwerghemmi, Riadh Ksantini, Ridha Bouallegue
2025	J	`jnl`	One-class IoT anomaly detection system using an improved interpolated deep SVDD autoencoder with adversarial regularizer. Digit. Signal Process. Abdulkarim Katbi, Riadh Ksantini
2025	B	`conf`	Plant Disease Clustering System using Dynamic Auto-Encoder. IWCMC Dorra Zaibi, Alya Alkameli, Riadh Ksantini
2025	J	`jnl`	Rethinking Deep Clustering Paradigms: Self-Supervision Is All You Need. CoRR Amal Shaheen, Nairouz Mrabah, Riadh Ksantini, Abdulla Alqaddoumi
2025	J	`jnl`	Rethinking deep clustering paradigms: Self-supervision is all you need. Neural Networks Amal Shaheen, Nairouz Mrabah, Riadh Ksantini, Abdulla Alqaddoumi
2025	—	`conf`	Toward a Mixture of Ensemble Learning Method-Based Experts for Evaluating the Quality of Experience in Video Streaming. AINA (1) Radhia Elwerghemmi, Dorra Zaibi, Riadh Ksantini, Ridha Bouallegue
2024	J	`jnl`	A contrastive variational graph auto-encoder for node clustering. Pattern Recognit. Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
2024	B	`conf`	A novel mixture of ensemble learning experts for the assessment of the quality of experience. KES Radhia Elwerghemmi, Dorra Zaibi, Riadh Ksantini, Ridha Bouallegue
2024	J	`jnl`	Adopting security practices in software development process: Security testing framework for sustainable smart cities. Comput. Secur. Yusuf Mothanna, Wael Elmedany, Mustafa Hammad, Riadh Ksantini, Mhd Saeed Sharif
2024	B	`conf`	DfHM: A Hierarchical Approach for Matching Pairs of Images Using Graph Attention Neural Networks. IJCNN Mohamed Amine Ouali, Mohamed Bouguessa, Riadh Ksantini
2024	J	`jnl`	DynaSeg: A deep dynamic fusion method for unsupervised image segmentation incorporating feature similarity and spatial continuity. Image Vis. Comput. Boujemaa Guermazi, Riadh Ksantini, Naimul Khan
2024	J	`jnl`	Toward a CNN-based approach for usability requirements generation. Int. J. Appl. Decis. Sci. Dorra Zaibi, Riadh Ksantini, Meriem Riahi, Faouzi Moussa
2023	J	`jnl`	A Contrastive Variational Graph Auto-Encoder for Node Clustering. CoRR Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
2023	J	`jnl`	A Novel Intrusion Detection System for Internet of Healthcare Things Based on Deep Subclasses Dispersion Information. IEEE Internet Things J. Marwa Fouda, Riadh Ksantini, Wael Elmedany
2023	J	`jnl`	A novel multispectral corner detector and a new local descriptor: an application to human posture recognition. Multim. Tools Appl. Safa Mefteh, Mohamed Bécha Kaâniche, Riadh Ksantini, Adel Bouhoula
2023	A*	`conf`	Adversarial Deep Embedded Clustering: On a better trade-off between Feature Randomness and Feature Drift (Extended abstract). ICDE Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
2023	A	`conf`	Beyond The Evidence Lower Bound: Dual Variational Graph Auto-Encoders For Node Clustering. SDM Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
2023	—	`conf`	Deep Interactive Volume Exploration Through Pre-Trained 3D CNN and Active Learning. VISIGRAPP (1: GRAPP) Marwa Salhi, Riadh Ksantini, Belhassen Zouari
2023	J	`jnl`	Exploiting scatter matrix on one-class support vector machine based on low variance direction. Intell. Data Anal. Soumaya Nheri, Riadh Ksantini, Mohamed Bécha Kaâniche, Adel Bouhoula
2023	B	`conf`	Learning Human Postures Using Lab-Depth HOG Descriptors. ICCCI Safa Mefteh, Mohamed Bécha Kaâniche, Riadh Ksantini, Adel Bouhoula
2023	C	`conf`	Pre-Trained Deep Convolutional Neural Network Architectures for Breast Cancer Diagnosis in Mammography: Current State-Of-The-Art. INISTA Marwa Ben Ammar, Faten Labbene Ayachi, Riadh Ksantini, Halima Mahjoubi
2023	A*	`conf`	Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering (Extended abstract). ICDE Nairouz Mrabah, Mohamed Bouguessa, Mohamed Fawzi Touati, Riadh Ksantini
2023	J	`jnl`	Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering. IEEE Trans. Knowl. Data Eng. Nairouz Mrabah, Mohamed Bouguessa, Mohamed Fawzi Touati, Riadh Ksantini
2023	J	`jnl`	Sequential Artificial Intelligence Models to Forecast Urban Solid Waste in the City of Sousse, Tunisia. IEEE Trans. Engineering Management Haifa Jammeli, Riadh Ksantini, Fouad Ben Abdelaziz, Hatem Masri
2022	—	`conf`	A Dynamically Weighted Loss Function for Unsupervised Image Segmentation. BigMM Boujemaa Guermazi, Riadh Ksantini, Naimul Khan
2022	J	`jnl`	A real-time image-centric transfer function design based on incremental classification. J. Real Time Image Process. Marwa Salhi, Riadh Ksantini, Belhassen Zouari
2022	J	`jnl`	Adversarial Deep Embedded Clustering: On a Better Trade-off Between Feature Randomness and Feature Drift. IEEE Trans. Knowl. Data Eng. Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
2022	J	`jnl`	Convolutional dynamic auto-encoder: a clustering method for semantic images. Neural Comput. Appl. Zahra Mohamed, Riadh Ksantini, Jihene Kaabi
2022	J	`jnl`	Deep Learning Techniques for Smart Meter Data Analytics: A Review. SN Comput. Sci. Elham Eskandarnia, Hesham Al-Ammal, Riadh Ksantini, Mustafa Hammad
2022	—	`conf`	Detection of Breast Masses in Mammograms by Incremental Discriminant Based Support Vector Machine Classifier and Active User Involvement. ICCCI (CCIS Volume) Marwa Salhi, Riadh Ksantini, Belhassen Zouari
2022	A*	`conf`	Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering. IJCAI Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
2022	B	`conf`	Graph Attention Network for Camera Relocalization on Dynamic Scenes. DSAA Mohamed Amine Ouali, Mohamed Bouguessa, Riadh Ksantini
2022	J	`jnl`	Graph Attention Network for Camera Relocalization on Dynamic Scenes. CoRR Mohamed Amine Ouali, Mohamed Bouguessa, Riadh Ksantini
2022	J	`jnl`	Optimization of parallel firewalls filtering rules. Int. J. Inf. Sec. Taha Elamine Hadjadj, Adel Bouhoula, Rim Tebourbi, Riadh Ksantini
2021	—	`conf`	Data warehouse for machine learning: application to breast cancer diagnosis. CENTERIS/ProjMAN/HCist Marwa Ben Ammar, Faten Labbene Ayachi, Riadh Ksantini, Halima Mahjoubi
2021	J	`jnl`	Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering. CoRR Nairouz Mrabah, Mohamed Bouguessa, Mohamed Fawzi Touati, Riadh Ksantini
2020	Misc	`conf`	A Low Inertia Guided Auto-Encoder for Anomaly Detection in Networks. SoftCOM Yves Nsoga Nguimbous, Riadh Ksantini, Adel Bouhoula
2020	—	`conf`	A Novel Dispersion Covariance-guided One-Class Support Vector Machines. VISIGRAPP (4: VISAPP) Soumaya Nheri, Riadh Ksantini, Mohamed Bécha Kaâniche, Adel Bouhoula
2020	J	`jnl`	A novel incremental Kernel Nonparametric SVM model (iKN-SVM) for data classification: An application to face detection. Eng. Appl. Artif. Intell. Arbia Soula, Khaoula Tbarki, Riadh Ksantini, Salma Ben Said, Zied Lachiri
2020	—	`conf`	Coarse-to-Fine Object Tracking Using Deep Features and Correlation Filters. ISVC (1) Ahmed Zgaren, Wassim Bouachir, Riadh Ksantini
2020	J	`jnl`	Coarse-to-Fine Object Tracking Using Deep Features and Correlation Filters. CoRR Ahmed Zgaren, Wassim Bouachir, Riadh Ksantini
2020	J	`jnl`	Deep clustering with a Dynamic Autoencoder: From reconstruction towards centroids construction. Neural Networks Nairouz Mrabah, Naimul Mefraz Khan, Riadh Ksantini, Zied Lachiri
2020	—	`conf`	Securing Smart Homes using a Behavior Analysis based Authentication Approach. COMNET Noureddine Amraoui, Amine Besrour, Riadh Ksantini, Belhassen Zouari
2019	—	`conf`	A Novel Multispectral Lab-depth based Edge Detector for Color Images with Occluded Objects. VISIGRAPP (4: VISAPP) Safa Mefteh, Mohamed Bécha Kaâniche, Riadh Ksantini, Adel Bouhoula
2019	J	`jnl`	A novel incremental one-class support vector machine based on low variance direction. Pattern Recognit. Takoua Kefi-Fatteh, Riadh Ksantini, Mohamed Bécha Kaâniche, Adel Bouhoula
2019	J	`jnl`	Adversarial Deep Embedded Clustering: on a better trade-off between Feature Randomness and Feature Drift. CoRR Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
2019	J	`jnl`	An Adaptive Face Recognition System Based on a Novel Incremental Kernel Nonparametric Discriminant Analysis. KSII Trans. Internet Inf. Syst. Arbia Soula, Salma Ben Said, Riadh Ksantini, Zied Lachiri
2019	Misc	`conf`	Anomaly-based Intrusion Detection Using Auto-encoder. SoftCOM Yves Nsoga Nguimbous, Riadh Ksantini, Adel Bouhoula
2019	J	`jnl`	Deep Clustering with a Dynamic Autoencoder. CoRR Nairouz Mrabah, Naimul Mefraz Khan, Riadh Ksantini
2019	J	`jnl`	Human face detection improvement using incremental learning based on low variance directions. Signal Image Video Process. Takoua Kefi-Fatteh, Riadh Ksantini, Mohamed Bécha Kaâniche, Adel Bouhoula
2019	B	`conf`	Implicit and Continuous Authentication of Smart Home Users. AINA Noureddine Amraoui, Amine Besrour, Riadh Ksantini, Belhassen Zouari
2019	J	`jnl`	Incremental Subclass Support Vector Machine. Int. J. Artif. Intell. Tools Amine Besrour, Riadh Ksantini
2019	Misc	`conf`	Optimization of Parallel Firewalls Filtering Rules. SoftCOM Taha Elamine Hadjadj, Rim Tebourbi, Adel Bouhoula, Riadh Ksantini
2018	—	`conf`	A Novel Handwritten Digits Recognition Method based on Subclass Low Variances Guided Support Vector Machine. VISIGRAPP (4: VISAPP) Soumaya Nheri, Riadh Ksantini, Mouhamed Bécha Kaâniche, Adel Bouhoula
2018	J	`jnl`	A Novel Image-Centric Approach Toward Direct Volume Rendering. ACM Trans. Intell. Syst. Technol. Naimul Mefraz Khan, Riadh Ksantini, Ling Guan
2018	B	`conf`	A Novel Online QoE Prediction Model Based on Multiclass Incremental Support Vector Machine. AINA Yosr Ben Youssef, Mériem Afif, Riadh Ksantini, Sami Tabbane
2018	B	`conf`	A novel QoE model based on boosting support vector regression. WCNC Yosr Ben Youssef, Mériem Afif, Riadh Ksantini, Sami Tabbane
2018	Misc	`conf`	A novel incremental face recognition method based on nonparametric discriminant model. ATSIP Arbia Soula, Salma Ben Said, Riadh Ksantini, Zied Lachiri
2017	J	`jnl`	A Novel Image-centric Approach Towards Direct Volume Rendering. CoRR Naimul Mefraz Khan, Riadh Ksantini, Ling Guan
2017	A	`conf`	A novel face recognition system base on nonparametric discriminant analysis. ICCAD Arbia Soula, Riadh Ksantini, Salma Ben Said, Zied Lachiri
2017	B	`conf`	Human Face Detection Improvement Using Incremental Learning Based on Low Variance Directions. ACIVS Takoua Kefi, Riadh Ksantini, Mohamed Bécha Kaâniche, Adel Bouhoula
2017	Misc	`conf`	Landmine detection improvement using one-class SVM for unbalanced data. ATSIP Khaoula Tbarki, Salma Ben Said, Riadh Ksantini, Zied Lachiri
2017	A	`conf`	One-class SVM for landmine detection and discrimination. ICCAD Khaoula Tbarki, Salma Ben Said, Riadh Ksantini, Zied Lachiri
2016	—	`conf`	A Novel Incremental Covariance-Guided One-Class Support Vector Machine. ECML/PKDD (2) Takoua Kefi, Riadh Ksantini, Mohamed Bécha Kaâniche, Adel Bouhoula
2016	J	`jnl`	Incremental One-Class Models for Data Classification. CoRR Takoua Kefi, Riadh Ksantini, Mohamed Bécha Kaâniche, Adel Bouhoula
2016	C	`conf`	RBF kernel based SVM classification for landmine detection and discrimination. IPAS Khaoula Tbarki, Salma Ben Said, Riadh Ksantini, Zied Lachiri
2015	—	`conf`	A Novel Kernelized Classifier Based on the Combination of Partially Global and Local Characteristics. LWA Riadh Ksantini, Raouf Gharbi
2014	J	`jnl`	Covariance-guided One-Class Support Vector Machine. Pattern Recognit. Naimul Mefraz Khan, Riadh Ksantini, Imran Shafiq Ahmad, Ling Guan
2014	—	`conf`	Multiple Object Detection with Occlusion Using Active Contour Model and Fuzzy C-Mean. ICIAR (1) Sara Memar, Riadh Ksantini, Boubakeur Boufama
2014	J	`jnl`	SN-SVM: a sparse nonparametric support vector machine classifier. Signal Image Video Process. Naimul Mefraz Khan, Riadh Ksantini, Imran Shafiq Ahmad, Ling Guan
2014	Misc	`conf`	Volume visualization using sparse nonparametric support vector machines and harmoniccolors. ICASSP Naimul Mefraz Khan, Riadh Ksantini, Ling Guan
2013	J	`jnl`	A new efficient active contour model without local initializations for salient object detection. EURASIP J. Image Video Process. Riadh Ksantini, Boubakeur Boufama, Sara Memar
2013	Misc	`conf`	Incorporating covariance information in one class support vector classification. ICASSP Naimul Mefraz Khan, Riadh Ksantini, Imran Shafiq Ahmad, Ling Guan
2012	—	`conf`	A Sparse Support Vector Machine Classifier with Nonparametric Discriminants. ICANN (2) Naimul Mefraz Khan, Riadh Ksantini, Imran Shafiq Ahmad, Ling Guan
2012	J	`jnl`	A novel SVM+NDA model for classification with an application to face recognition. Pattern Recognit. Naimul Mefraz Khan, Riadh Ksantini, Imran Shafiq Ahmad, Boubakeur Boufama
2012	J	`jnl`	Combining partially global and local characteristics for improved classification. Int. J. Mach. Learn. Cybern. Riadh Ksantini, Boubakeur Boufama
2011	J	`jnl`	A New KSVM + KFD Model for Improved Classification and Face Recognition. J. Multim. Riadh Ksantini, Boubakeur Boufama, Imran Shafiq Ahmad
2010	—	`conf`	A New SVM + NDA Model for Improved Classification and Recognition. ICIAR (1) Naimul Mefraz Khan, Riadh Ksantini, Imran Shafiq Ahmad, Boubakeur Boufama
2010	—	`conf`	A Novel Human Motion Recognition Method Based on Eigenspace. ICIAR (1) Abdunnaser Diaf, Riadh Ksantini, Boubakeur Boufama, Rachid Benlamri
2010	—	`conf`	A new combined KSVM and KFD model for classification and recognition. ICDIM Riadh Ksantini, Boubakeur Boufama, Imran Shafiq Ahmad, Naimul Mefraz Khan
2010	J	`jnl`	A novel Bayesian logistic discriminant model: An application to face recognition. Pattern Recognit. Riadh Ksantini, Boubakeur Boufama, Djemel Ziou, Bernard Colin
2010	—	`conf`	A novel eigenspace-based method for human action recognition. ICDIM Abdunnaser Diaf, Rachid Benlamri, Boubakeur Boufama, Riadh Ksantini
2009	—	`conf`	A Novel Bayesian Logistic Discriminant Model with Dirichlet Distributions: An Application to Face Recognition. ICIAR Riadh Ksantini, Boubakeur Boufama
2009	—	`conf`	An Efficient and Fast Active Contour Model for Salient Object Detection. CRV Riadh Ksantini, Farnaz Shariat, Boubakeur Boufama
2008	A*	`conf`	A Bayesian Kernel Logistic Discriminant Model: An Improvement to the Kernel Fisher's Discriminant. AAAI Riadh Ksantini, Djemel Ziou, Bernard Colin, François Dubeau
2008	J	`jnl`	Weighted Pseudometric Discriminatory Power Improvement Using a Bayesian Logistic Regression Model Based on a Variational Method. IEEE Trans. Pattern Anal. Mach. Intell. Riadh Ksantini, Djemel Ziou, Bernard Colin, François Dubeau
2007	A*	`conf`	Logistic Regression Models for a Fast CBIR Method Based on Feature Selection. IJCAI Riadh Ksantini, Djemel Ziou, Bernard Colin, François Dubeau
2006	J	`jnl`	Image Retrieval Based on Region Separation and Multiresolution Analysis. Int. J. Wavelets Multiresolution Inf. Process. Riadh Ksantini, Djemel Ziou, François Dubeau
2004	J	`jnl`	Non-uniform Haar wavelets. Appl. Math. Comput. François Dubeau, Said Elmejdani, Riadh Ksantini