| A novel SVM+ NDA model for classification with an application to face recognition NM Khan, R Ksantini, IS Ahmad, B Boufama Pattern Recognition 45 (1), 66-79, 2012 | 113 | 2012 |
| Deep clustering with a dynamic autoencoder: From reconstruction towards centroids construction N Mrabah, NM Khan, R Ksantini, Z Lachiri Neural Networks 130, 206-228, 2020 | 71 | 2020 |
| Adversarial deep embedded clustering: on a better trade-off between feature randomness and feature drift N Mrabah, M Bouguessa, R Ksantini IEEE Transactions on Knowledge and Data Engineering 34 (4), 1603-1617, 2020 | 53 | 2020 |
| Covariance-guided one-class support vector machine NM Khan, R Ksantini, IS Ahmad, L Guan Pattern Recognition 47 (6), 2165-2177, 2014 | 51 | 2014 |
| Non-uniform Haar wavelets F Dubeau, S Elmejdani, R Ksantini Applied Mathematics and Computation 159 (3), 675-693, 2004 | 50 | 2004 |
| Rethinking graph auto-encoder models for attributed graph clustering N Mrabah, M Bouguessa, MF Touati, R Ksantini IEEE Transactions on Knowledge and Data Engineering, 2022 | 41 | 2022 |
| Weighted pseudometric discriminatory power improvement using a bayesian logistic regression model based on a variational method R Ksantini, D Ziou, B Colin, F Dubeau IEEE transactions on pattern analysis and machine intelligence 30 (2), 253-266, 2007 | 30 | 2007 |
| An embedded deep-clustering-based load profiling framework E Eskandarnia, HM Al-Ammal, R Ksantini Sustainable Cities and Society 78, 103618, 2022 | 28 | 2022 |
| RBF kernel based SVM classification for landmine detection and discrimination K Tbarki, SB Said, R Ksantini, Z Lachiri 2016 International Image Processing, Applications and Systems (IPAS), 1-6, 2016 | 26 | 2016 |
| A novel incremental one-class support vector machine based on low variance direction T Kefi-Fatteh, R Ksantini, MB Kaâniche, A Bouhoula Pattern Recognition 91, 308-321, 2019 | 24 | 2019 |
| A novel incremental Kernel Nonparametric SVM model (iKN-SVM) for data classification: An application to face detection A Soula, K Tbarki, R Ksantini, SB Said, Z Lachiri Engineering Applications of Artificial Intelligence 89, 103468, 2020 | 23 | 2020 |
| Sequential artificial intelligence models to forecast urban solid waste in the city of Sousse, Tunisia H Jammeli, R Ksantini, FB Abdelaziz, H Masri IEEE Transactions on Engineering Management 70 (5), 1912-1922, 2021 | 19 | 2021 |
| Covariance-guided landmine detection and discrimination using ground-penetrating radar data K Tbarki, S Ben Said, R Ksantini, Z Lachiri International journal of remote sensing 39 (2), 289-314, 2018 | 16 | 2018 |
| A new efficient active contour model without local initializations for salient object detection R Ksantini, B Boufama, S Memar EURASIP Journal on Image and Video Processing 2013, 1-13, 2013 | 16 | 2013 |
| A New KSVM+ KFD Model for Improved Classification and Face Recognition. R Ksantini, B Boufama, IS Ahmad J. Multim. 6 (1), 39-47, 2011 | 16 | 2011 |
| A novel Bayesian logistic discriminant model: An application to face recognition R Ksantini, B Boufama, D Ziou, B Colin Pattern Recognition 43 (4), 1421-1430, 2010 | 15 | 2010 |
| Deep clustering with a dynamic autoencoder N Mrabah, NM Khan, R Ksantini, Z Lachiri arXiv preprint arXiv:1901.07752, 2019 | 14 | 2019 |
| A novel online QoE prediction model based on multiclass incremental support vector machine YB Youssef, M Afif, R Ksantini, S Tabbane 2018 IEEE 32nd International Conference on Advanced Information Networking …, 2018 | 14 | 2018 |
| Implicit and continuous authentication of smart home users N Amraoui, A Besrour, R Ksantini, B Zouari Advanced Information Networking and Applications: Proceedings of the 33rd …, 2020 | 12 | 2020 |
| A novel QoE model based on boosting support vector regression YB Youssef, M Afif, R Ksantini, S Tabbane 2018 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2018 | 12 | 2018 |
