Peer-reviewed Journals

1. "Deep learning for segmentation and counting of white blood cells in clinical diagnosis". H. BENDIABDALLAH and N. SETTOUTI. Journal of Mechanics in Medicine and Biology (JMMB). Special Issue on Deep Learning in Biomedical and Healthcare: Emerging Trends, Applications and Research Challenges, 2023. DOI: 10.1142/S0219519423400584
2. "Preliminary analysis of explainable machine learning methods for multiple myeloma chemotherapy treatment recognition". N. SETTOUTI and M. SAIDI. Evolutionary Intelligence Journal. Special Issue on Towards robust explainable and interpretable artificial intelligence. 2023. DOI: 10.1007/s12065-023-00833-3
3. "Feature importance analysis for highly imbalanced multiple myeloma staging". R. GUILAL, N. SETTOUTI, G. MARTINEZ MUNOZ and MA. CHIKH. In the International Journal of Medical Engineering and Informatics (IJMEI). 2022. DOI: 10.1504/IJMEI.2022.1004687
4. "Identifying Regions-of-interest in Whole Slide Images of Renal Cell Carcinoma". ML. BENOMAR, N. SETTOUTI, E. DEBREUVE, X. DESCOMBES and D. AMBROSETTI. In the Research on Biomedical Engineering Journal. 2021. DOI: 10.1007/s42600-021-00178-9
5. "Ensemble margin resampling approach for a cost-sensitive credit scoring problem". M. SAIDI, N. SETTOUTI, M. El HABIB DAHO, and MA. BECHAR. In the International Journal of Computational Economics and Econometrics, 2021. Vol. 11, No. 4, pp. 323-348. DOI: 10.1504/IJCEE.2021.10040782
6. "Analysis of Machine Learning and Deep Learning frameworks for opinion mining on drug reviews". F. YOUBI and N. SETTOUTI. In the Computer Journal, bxab084, 2021. DOI: 10.1093/comjnl/bxab084
7. "A New Correlation-based Approach for Ensemble Selection in Random Forests". M. El HABIB DAHO, N. SETTOUTI, MA. BECHAR, A. BOUBLENZA, and MA. CHIKH. In the International Journal of Intelligent Computing and Cybernetics. 2021. Vol. 14 No. 2, pp. 251-268. DOI:10.1108/IJICC-10-2020-0147.
8. "An Instance and Variable Selection approach in pixel-based classification for automatic white blood cells segmentation". N. SETTOUTI, M. SAIDI, MA. BECHAR, M. El HABIB DAHO and MA. CHIKH. In the Journal of Pattern Analysis and Applications (PAA). 2020, Vol.23, No. 4, pp.1709-1726. DOI: 10.1007/s10044-020-00873-w
9. "An optimized pixel-based classification approach for automatic white blood cells segmentation". N. SETTOUTI, MA. BECHAR, M. EL HABIB DAHO and MA. CHIKH. In the International Journal of Biomedical Engineering and Technology (IJBET). 2020, Vol. 32, No. 2, pp.144–160. DOI: 10.1504/IJBET.2020.105651
10. "Semi-Supervised learning with Collaborative Bagged Multi-label K-Nearest-Neighbors". N. SETTOUTI, K. DOUIBI, MA. BECHAR, M. El HABIB DAHO and , M. SAIDI. In Open Computer Science Journal (OPENCS). 2019, Vol.9, pp. 226–242. DOI: 10.1515/comp-2019-0017.
11. "Influence of normalization and color features on super-pixel classification : Application to cytological image segmentation". MA. BECHAR, N. SETTOUTI, M. El HABIB DAHO, M, ADEL and MA. CHIKH. Australasian Physical & Engineering Sciences in Medicine. Special Issue on Advances in Artificial Intelligence in Biomedical Image Analysis (APESM). 2019, Vol. 42, pp. 427–441. DOI: 10.1007/s13246-019-00735-8
12. "An Analysis of Ambulatory Blood Pressure Monitoring Using Multi-label Classification". K. DOUIBI, N. SETTOUTI, MA. CHIKH, J. READ and M. BENABID. Journal of Australasian Physical & Engineering Sciences in Medicine (APESM). 2018, Vol. 42, pp. 65–81. DOI : 10.1007/s13246-018-0713-0
13. "Instances Selection Algorithm by Ensemble Margin". M. SAIDI, MA. BECHAR, N. SETTOUTI and MA. CHIKH. Journal of Experimental and Theoretical Artificial Intelligence (TETA). 2018, Vol. 30, pp. 457–478. DOI: 10.1080/0952813X.2017.1409283
14. "Reinforced confidence in self-training (R-COSET) for a semi-supervised medical data classification". MA. BECHAR, N. SETTOUTI, MA. CHIKH, A. MOULOUD. The International Journal of Applied Pattern Recognition. 2017, Vol.4 No.2, pp.107–127. DOI: 10.1504/IJAPR.2017.10004207
15. "Semi-supervised Superpixel classification for medical images segmentation - Application to detection of glaucoma disease". MA. BECHAR, N. SETTOUTI, V. BARRA and MA. CHIKH. Multidimensional Systems and Signal Processing Journal. 2017, 1pp.1-20. DOI: 10.1007/s11045-017-0483-y
16. "A New feature selection approach based on ensemble methods in semi-supervised classification". N. SETTOUTI, MA. CHIKH and V. BARRA. Journal of Pattern Analysis and Applications. 2017, Vol.20, No.3, pp. 673–686. DOI: 10.1007/s10044-015-0524-9
17. "Using of Conditional Inference Forest to identify Variable importance". N. SETTOUTI, M. El HABIB DAHO and MA. CHIKH. International Journal of Bioinformatics Research and Applications. 2017, Vol.13 No.2, pp.95–108. DOI: 10.1504/IJBRA.2017.10003483
18. "Statistical Comparisons of the Top 10 Algorithms in Data Mining for Classification Task". N. SETTOUTI MA. BECHAR and MA. CHIKH. International Journal of Artificial Intelligence and Interactive Multimedia. 2016, Vol. 4 No.1, pp. 46-51. DOI:10.9781/ijimai.2016.
19. "Random forest based classification of medical X-ray images by using a genetic algorithm for feature selection". I. NEDJAR, M. El HABIB DAHO, N. SETTOUTI, S. MAHMOUDI and MA. CHIKH. Journal of Mechanics in Medicine and Biology. 2015, Vol. 15, No.02, 1540025. DOI:10.1142/S0219519415400254
20. "The fundamental nature of interpretability in diagnosing diabetes using neuro-fuzzy classifier". MA. CHIKH, N. SETTOUTI and M. SAIDI. Journal of Medical Imaging and Health Informatics. 2012, Vol. 2, No. 4, pp. 1-7, DOI:10.1166/jmihi.2012.1108
21. "Generating Fuzzy Rules for Constructing Interpretable Classifier of Diabetes Disease". N. SETTOUTI, M. SAIDI and MA. CHIKH. Australasian Physical & Engineering Sciences in Medicine. 2012, Vol. 35, No. 3, pp. 257-270, DOI: 10.1007/s13246-012-0155-z
22. "Diagnosis of Diabetes Diseases Using an Artificial Immune Recognition System2 (AIRS2) with Fuzzy K-nearest Neighbor". MA.CHIKH, M.SAIDI and N.SETTOUTI. Journal of Medical System. Vol 36, Issue 5 (2012), pp. 2721-2729. DOI: 10.1007/s10916-011-9748-4.
23. "Evolving Neural Network Using Genetic Algorithm (GA) for Heart Beats Classification". M.SEKKAL, MA.CHIKH and N.SETTOUTI. Journal of Medical Engineering and Technology, 2011. DOI: 10.3109/03091902.2011.574778.