| Human activity recognition via optical flow: decomposing activities into basic actions A Ladjailia, I Bouchrika, HF Merouani, N Harrati, Z Mahfouf Neural Computing and Applications 32, 16387-16400, 2020 | 50 | 2020 |
| Investigating the use of motion-based features from optical flow for gait recognition Z Mahfouf, HF Merouani, I Bouchrika, N Harrati Neurocomputing 283, 140-149, 2018 | 37 | 2018 |
| Mammographic mass classification according to Bi‐RADS lexicon F Chokri, M Hayet Farida IET Computer Vision 11 (3), 189-198, 2017 | 28 | 2017 |
| Comparative study of clustering based colour image segmentation techniques S Chebbout, HF Merouani 2012 Eighth International Conference on Signal Image Technology and Internet …, 2012 | 27 | 2012 |
| Improving mass discrimination in mammogram-CAD system using texture information and super-resolution reconstruction S Boudraa, A Melouah, HF Merouani Evolving Systems 11 (4), 697-706, 2020 | 25 | 2020 |
| Clustering with probabilistic topic models on arabic texts: a comparative study of LDA and K-means. A Kelaiaia, HF Merouani Int. Arab J. Inf. Technol. 13 (2), 332-338, 2016 | 19 | 2016 |
| Maintenance of a Bayesian network: application using medical diagnosis A Refai, HF Merouani, H Aouras Evolving Systems 7, 187-196, 2016 | 18 | 2016 |
| Automatic segmentation of brain MRI through stationary wavelet transform and random forests MM Bendib, HF Merouani, F Diaba Pattern Analysis and Applications 18, 829-843, 2015 | 17 | 2015 |
| Clustering with probabilistic topic models on arabic texts A Kelaiaia, HF Merouani Modeling Approaches and Algorithms for Advanced Computer Applications, 65-74, 2013 | 15 | 2013 |
| The power laws: Zipf and inverse Zipf for automated segmentation and classification of masses within mammograms M Hamoud, HF Merouani, L Laimeche Evolving systems 6, 209-227, 2015 | 14 | 2015 |
| A new feature extraction scheme in wavelet transform for stego image classification L Laimeche, HF Merouani, S Mazouzi Evolving Systems 9, 181-194, 2018 | 12 | 2018 |
| Classification of mammography images based on cellular automata and Haralick parameters S Benmazou, HF Merouani, S Layachi, B Nedjmeddine Evolving Systems 5, 209-216, 2014 | 10 | 2014 |
| Retrieval and adaptation in CBR through Bayesian Network for diagnosis of hepatic pathologies A Djebbar, HF Merouani International Journal of Hybrid Intelligent Systems 9 (3), 123-134, 2012 | 10 | 2012 |
| Neural network based image steganalysis: a comparative study N Kobsi, HF Merouani Neural Networks for Signal Processing [1994] IV. Proceedings of the 1994 …, 2007 | 10 | 2007 |
| Optimising retrieval phase in CBR through Pearl and JLO algorithms for medical diagnosis A Djebbar, HF Merouani International Journal of Advanced Intelligence Paradigms 5 (3), 161-181, 2013 | 9 | 2013 |
| Improving the performance of computer-aided diagnosis systems using semi-supervised learning: a survey and analysis A Chebli, A Djebbar, HFD Merouani International Journal of Intelligent Information and Database Systems 13 (2 …, 2020 | 8 | 2020 |
| Wavelet based feature extraction method for breast cancer diagnosis S Benmazou, HF Merouani 2018 4th International Conference on Advanced Technologies for Signal and …, 2018 | 8 | 2018 |
| Automated detection of similar human actions using motion descriptors A Ladjailia, I Bouchrika, HF Merouani, N Harrati 2015 16th International Conference on Sciences and Techniques of Automatic …, 2015 | 8 | 2015 |
| Novel fully automated computer aided-detection of suspicious regions within mammograms S Hamissi, HF Merouani Second International Conference on the Innovative Computing Technology …, 2012 | 8 | 2012 |
| Case-base maintenance: an approach based on active semi-supervised learning A Chebli, A Djebbar, HF Merouani, H Lounis International Journal of Pattern Recognition and Artificial Intelligence 35 …, 2021 | 7 | 2021 |
