Riadh Ksantini

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 56

Top Topics

Nonparametric Discriminant Analysis

Breast Cancer Diagnosis

Top Venues

VISIGRAPP (4: VISAPP)

Pattern Recognit.

Publications

Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
A contrastive variational graph auto-encoder for node clustering. Pattern Recognit. 149 (2024)
Yusuf Mothanna, Wael Elmedany, Mustafa Hammad, Riadh Ksantini, Mhd Saeed Sharif
Adopting security practices in software development process: Security testing framework for sustainable smart cities. Comput. Secur. 144 (2024)
Marwa Fouda, Riadh Ksantini, Wael Elmedany
A Novel Intrusion Detection System for Internet of Healthcare Things Based on Deep Subclasses Dispersion Information. IEEE Internet Things J. 10 (10) (2023)
Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
Beyond The Evidence Lower Bound: Dual Variational Graph Auto-Encoders For Node Clustering. SDM (2023)
Marwa Ben Ammar, Faten Labbene Ayachi, Riadh Ksantini, Halima Mahjoubi
Pre-Trained Deep Convolutional Neural Network Architectures for Breast Cancer Diagnosis in Mammography: Current State-Of-The-Art. INISTA (2023)
Nairouz Mrabah, Mohamed Bouguessa, Mohamed Fawzi Touati, Riadh Ksantini
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering (Extended abstract). ICDE (2023)
Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
A Contrastive Variational Graph Auto-Encoder for Node Clustering. CoRR (2023)
Nairouz Mrabah, Mohamed Bouguessa, Mohamed Fawzi Touati, Riadh Ksantini
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
Adversarial Deep Embedded Clustering: On a better trade-off between Feature Randomness and Feature Drift (Extended abstract). ICDE (2023)
Safa Mefteh, Mohamed Bécha Kaâniche, Riadh Ksantini, Adel Bouhoula
A novel multispectral corner detector and a new local descriptor: an application to human posture recognition. Multim. Tools Appl. 82 (19) (2023)
Soumaya Nheri, Riadh Ksantini, Mohamed Bécha Kaâniche, Adel Bouhoula
Exploiting scatter matrix on one-class support vector machine based on low variance direction. Intell. Data Anal. 27 (6) (2023)
Safa Mefteh, Mohamed Bécha Kaâniche, Riadh Ksantini, Adel Bouhoula
Learning Human Postures Using Lab-Depth HOG Descriptors. ICCCI (2023)
Haifa Jammeli, Riadh Ksantini, Fouad Ben Abdelaziz, Hatem Masri
Sequential Artificial Intelligence Models to Forecast Urban Solid Waste in the City of Sousse, Tunisia. IEEE Trans. Engineering Management 70 (5) (2023)
Marwa Salhi, Riadh Ksantini, Belhassen Zouari
Deep Interactive Volume Exploration Through Pre-Trained 3D CNN and Active Learning. VISIGRAPP (1: GRAPP) (2023)
Taha Elamine Hadjadj, Adel Bouhoula, Rim Tebourbi, Riadh Ksantini
Optimization of parallel firewalls filtering rules. Int. J. Inf. Sec. 21 (2) (2022)
Elham Eskandarnia, Hesham Al-Ammal, Riadh Ksantini, Mustafa Hammad
Deep Learning Techniques for Smart Meter Data Analytics: A Review. SN Comput. Sci. 3 (3) (2022)
Marwa Salhi, Riadh Ksantini, Belhassen Zouari
A real-time image-centric transfer function design based on incremental classification. J. Real Time Image Process. 19 (1) (2022)
Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
Adversarial Deep Embedded Clustering: On a Better Trade-off Between Feature Randomness and Feature Drift. IEEE Trans. Knowl. Data Eng. 34 (4) (2022)
Boujemaa Guermazi, Riadh Ksantini, Naimul Khan
A Dynamically Weighted Loss Function for Unsupervised Image Segmentation. BigMM (2022)
Zahra Mohamed, Riadh Ksantini, Jihene Kaabi
Convolutional dynamic auto-encoder: a clustering method for semantic images. Neural Comput. Appl. 34 (19) (2022)
Mohamed Amine Ouali, Mohamed Bouguessa, Riadh Ksantini
Graph Attention Network for Camera Relocalization on Dynamic Scenes. CoRR (2022)
Marwa Salhi, Riadh Ksantini, Belhassen Zouari
Detection of Breast Masses in Mammograms by Incremental Discriminant Based Support Vector Machine Classifier and Active User Involvement. ICCCI (CCIS Volume) (2022)
Mohamed Amine Ouali, Mohamed Bouguessa, Riadh Ksantini
Graph Attention Network for Camera Relocalization on Dynamic Scenes. DSAA (2022)
Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering. IJCAI (2022)
Marwa Ben Ammar, Faten Labbene Ayachi, Riadh Ksantini, Halima Mahjoubi
Data warehouse for machine learning: application to breast cancer diagnosis. CENTERIS/ProjMAN/HCist (2021)
Nairouz Mrabah, Mohamed Bouguessa, Mohamed Fawzi Touati, Riadh Ksantini
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering. CoRR (2021)
Ahmed Zgaren, Wassim Bouachir, Riadh Ksantini
Coarse-to-Fine Object Tracking Using Deep Features and Correlation Filters. ISVC (1) (2020)
Soumaya Nheri, Riadh Ksantini, Mohamed Bécha Kaâniche, Adel Bouhoula
A Novel Dispersion Covariance-guided One-Class Support Vector Machines. VISIGRAPP (4: VISAPP) (2020)
Arbia Soula, Khaoula Tbarki, Riadh Ksantini, Salma Ben Said, Zied Lachiri
A novel incremental Kernel Nonparametric SVM model (iKN-SVM) for data classification: An application to face detection. Eng. Appl. Artif. Intell. 89 (2020)
Noureddine Amraoui, Amine Besrour, Riadh Ksantini, Belhassen Zouari
Securing Smart Homes using a Behavior Analysis based Authentication Approach. COMNET (2020)
Yves Nsoga Nguimbous, Riadh Ksantini, Adel Bouhoula
A Low Inertia Guided Auto-Encoder for Anomaly Detection in Networks. SoftCOM (2020)
Ahmed Zgaren, Wassim Bouachir, Riadh Ksantini
Coarse-to-Fine Object Tracking Using Deep Features and Correlation Filters. CoRR (2020)
Nairouz Mrabah, Naimul Mefraz Khan, Riadh Ksantini, Zied Lachiri
Deep clustering with a Dynamic Autoencoder: From reconstruction towards centroids construction. Neural Networks 130 (2020)
Arbia Soula, Salma Ben Said, Riadh Ksantini, Zied Lachiri
An Adaptive Face Recognition System Based on a Novel Incremental Kernel Nonparametric Discriminant Analysis. KSII Trans. Internet Inf. Syst. 13 (4) (2019)
Yves Nsoga Nguimbous, Riadh Ksantini, Adel Bouhoula
Anomaly-based Intrusion Detection Using Auto-encoder. SoftCOM (2019)
Taha Elamine Hadjadj, Rim Tebourbi, Adel Bouhoula, Riadh Ksantini
Optimization of Parallel Firewalls Filtering Rules. SoftCOM (2019)
Safa Mefteh, Mohamed Bécha Kaâniche, Riadh Ksantini, Adel Bouhoula
A Novel Multispectral Lab-depth based Edge Detector for Color Images with Occluded Objects. VISIGRAPP (4: VISAPP) (2019)
Nairouz Mrabah, Naimul Mefraz Khan, Riadh Ksantini
Deep Clustering with a Dynamic Autoencoder. CoRR (2019)
Takoua Kefi-Fatteh, Riadh Ksantini, Mohamed Bécha Kaâniche, Adel Bouhoula
Human face detection improvement using incremental learning based on low variance directions. Signal Image Video Process. 13 (8) (2019)
Takoua Kefi-Fatteh, Riadh Ksantini, Mohamed Bécha Kaâniche, Adel Bouhoula
A novel incremental one-class support vector machine based on low variance direction. Pattern Recognit. 91 (2019)
Amine Besrour, Riadh Ksantini
Incremental Subclass Support Vector Machine. Int. J. Artif. Intell. Tools 28 (7) (2019)
Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
Adversarial Deep Embedded Clustering: on a better trade-off between Feature Randomness and Feature Drift. CoRR (2019)
Noureddine Amraoui, Amine Besrour, Riadh Ksantini, Belhassen Zouari
Implicit and Continuous Authentication of Smart Home Users. AINA (2019)
Yosr Ben Youssef, Mériem Afif, Riadh Ksantini, Sami Tabbane
A Novel Online QoE Prediction Model Based on Multiclass Incremental Support Vector Machine. AINA (2018)
Arbia Soula, Salma Ben Said, Riadh Ksantini, Zied Lachiri
A novel incremental face recognition method based on nonparametric discriminant model. ATSIP (2018)
Soumaya Nheri, Riadh Ksantini, Mouhamed Bécha Kaâniche, Adel Bouhoula
A Novel Handwritten Digits Recognition Method based on Subclass Low Variances Guided Support Vector Machine. VISIGRAPP (4: VISAPP) (2018)
Naimul Mefraz Khan, Riadh Ksantini, Ling Guan
A Novel Image-Centric Approach Toward Direct Volume Rendering. ACM Trans. Intell. Syst. Technol. 9 (4) (2018)
Yosr Ben Youssef, Mériem Afif, Riadh Ksantini, Sami Tabbane
A novel QoE model based on boosting support vector regression. WCNC (2018)
Takoua Kefi, Riadh Ksantini, Mohamed Bécha Kaâniche, Adel Bouhoula
Human Face Detection Improvement Using Incremental Learning Based on Low Variance Directions. ACIVS (2017)
Khaoula Tbarki, Salma Ben Said, Riadh Ksantini, Zied Lachiri
One-class SVM for landmine detection and discrimination. ICCAD (2017)
Arbia Soula, Riadh Ksantini, Salma Ben Said, Zied Lachiri
A novel face recognition system base on nonparametric discriminant analysis. ICCAD (2017)
Khaoula Tbarki, Salma Ben Said, Riadh Ksantini, Zied Lachiri
Landmine detection improvement using one-class SVM for unbalanced data. ATSIP (2017)
Naimul Mefraz Khan, Riadh Ksantini, Ling Guan
A Novel Image-centric Approach Towards Direct Volume Rendering. CoRR (2017)
Takoua Kefi, Riadh Ksantini, Mohamed Bécha Kaâniche, Adel Bouhoula
Incremental One-Class Models for Data Classification. CoRR (2016)
Takoua Kefi, Riadh Ksantini, Mohamed Bécha Kaâniche, Adel Bouhoula
A Novel Incremental Covariance-Guided One-Class Support Vector Machine. ECML/PKDD (2) (2016)
Khaoula Tbarki, Salma Ben Said, Riadh Ksantini, Zied Lachiri
RBF kernel based SVM classification for landmine detection and discrimination. IPAS (2016)
Riadh Ksantini, Raouf Gharbi
A Novel Kernelized Classifier Based on the Combination of Partially Global and Local Characteristics. LWA (2015)
Naimul Mefraz Khan, Riadh Ksantini, Ling Guan
Volume visualization using sparse nonparametric support vector machines and harmoniccolors. ICASSP (2014)
Sara Memar, Riadh Ksantini, Boubakeur Boufama
Multiple Object Detection with Occlusion Using Active Contour Model and Fuzzy C-Mean. ICIAR (1) (2014)
Naimul Mefraz Khan, Riadh Ksantini, Imran Shafiq Ahmad, Ling Guan
SN-SVM: a sparse nonparametric support vector machine classifier. Signal Image Video Process. 8 (8) (2014)
Naimul Mefraz Khan, Riadh Ksantini, Imran Shafiq Ahmad, Ling Guan
Covariance-guided One-Class Support Vector Machine. Pattern Recognit. 47 (6) (2014)
Riadh Ksantini, Boubakeur Boufama, Sara Memar
A new efficient active contour model without local initializations for salient object detection. EURASIP J. Image Video Process. 2013 (2013)
Naimul Mefraz Khan, Riadh Ksantini, Imran Shafiq Ahmad, Ling Guan
Incorporating covariance information in one class support vector classification. ICASSP (2013)
Naimul Mefraz Khan, Riadh Ksantini, Imran Shafiq Ahmad, Ling Guan
A Sparse Support Vector Machine Classifier with Nonparametric Discriminants. ICANN (2) (2012)
Naimul Mefraz Khan, Riadh Ksantini, Imran Shafiq Ahmad, Boubakeur Boufama
A novel SVM+NDA model for classification with an application to face recognition. Pattern Recognit. 45 (1) (2012)
Riadh Ksantini, Boubakeur Boufama
Combining partially global and local characteristics for improved classification. Int. J. Mach. Learn. Cybern. 3 (2) (2012)
Riadh Ksantini, Boubakeur Boufama, Imran Shafiq Ahmad
A New KSVM + KFD Model for Improved Classification and Face Recognition. J. Multim. 6 (1) (2011)
Naimul Mefraz Khan, Riadh Ksantini, Imran Shafiq Ahmad, Boubakeur Boufama
A New SVM + NDA Model for Improved Classification and Recognition. ICIAR (1) (2010)
Abdunnaser Diaf, Riadh Ksantini, Boubakeur Boufama, Rachid Benlamri
A Novel Human Motion Recognition Method Based on Eigenspace. ICIAR (1) (2010)
Riadh Ksantini, Boubakeur Boufama, Djemel Ziou, Bernard Colin
A novel Bayesian logistic discriminant model: An application to face recognition. Pattern Recognit. 43 (4) (2010)
Abdunnaser Diaf, Rachid Benlamri, Boubakeur Boufama, Riadh Ksantini
A novel eigenspace-based method for human action recognition. ICDIM (2010)
Riadh Ksantini, Boubakeur Boufama, Imran Shafiq Ahmad, Naimul Mefraz Khan
A new combined KSVM and KFD model for classification and recognition. ICDIM (2010)
Riadh Ksantini, Farnaz Shariat, Boubakeur Boufama
An Efficient and Fast Active Contour Model for Salient Object Detection. CRV (2009)
Riadh Ksantini, Boubakeur Boufama
A Novel Bayesian Logistic Discriminant Model with Dirichlet Distributions: An Application to Face Recognition. ICIAR (2009)
Riadh Ksantini, Djemel Ziou, Bernard Colin, François Dubeau
Weighted Pseudometric Discriminatory Power Improvement Using a Bayesian Logistic Regression Model Based on a Variational Method. IEEE Trans. Pattern Anal. Mach. Intell. 30 (2) (2008)
Riadh Ksantini, Djemel Ziou, Bernard Colin, François Dubeau
A Bayesian Kernel Logistic Discriminant Model: An Improvement to the Kernel Fisher's Discriminant. AAAI (2008)
Riadh Ksantini, Djemel Ziou, Bernard Colin, François Dubeau
Logistic Regression Models for a Fast CBIR Method Based on Feature Selection. IJCAI (2007)
Riadh Ksantini, Djemel Ziou, François Dubeau
Image Retrieval Based on Region Separation and Multiresolution Analysis. Int. J. Wavelets Multiresolution Inf. Process. 4 (1) (2006)
François Dubeau, Said Elmejdani, Riadh Ksantini
Non-uniform Haar wavelets. Appl. Math. Comput. 159 (3) (2004)