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2020 – today
- 2024
[j13]Soufiane Hamida
, Driss Lamrani, Mohammed Amine Bouqentar, Oussama El Gannour, Bouchaib Cherradi:
An Integrated Multimodal Deep Learning Framework for Accurate Skin Disease Classification. Int. J. Online Biomed. Eng. 20(2): 78-94 (2024)- [j12]Shawki Saleh, Bouchaib Cherradi, Oussama El Gannour, Soufiane Hamida, Omar Bouattane:
Predicting patients with Parkinson's disease using Machine Learning and ensemble voting technique. Multim. Tools Appl. 83(11): 33207-33234 (2024) - [j11]Sara Laghmati, Soufiane Hamida, Khadija Hicham, Bouchaib Cherradi, Amal Tmiri:
An improved breast cancer disease prediction system using ML and PCA. Multim. Tools Appl. 83(11): 33785-33821 (2024) - 2023
- [j10]Hicham Moujahid, Bouchaib Cherradi, Oussama El Gannour, Wamda Abdelrahman Elhag Nagmeldin, Abdelzahir Abdelmaboud, Mohammed Al-Sarem, Lhoussain Bahatti, Faisal Saeed, Mohammed Hadwan:
A Novel Explainable CNN Model for Screening COVID-19 on X-ray Images. Comput. Syst. Sci. Eng. 46(2): 1789-1809 (2023) - [j9]Abdeljalil El-Ibrahimi, Oumaima Terrada, Oussama El Gannour, Bouchaib Cherradi, Ahmed El Abbassi, Omar Bouattane:
Optimizing Machine Learning Algorithms for Heart Disease Classification and Prediction. Int. J. Online Biomed. Eng. 19(15): 61-76 (2023) - [j8]Soufiane Hamida, Oussama El Gannour, Bouchaib Cherradi, Hassan Ouajji, Abdelhadi Raihani:
Handwritten computer science words vocabulary recognition using concatenated convolutional neural networks. Multim. Tools Appl. 82(15): 23091-23117 (2023) - [j7]Soufiane Hamida, Bouchaib Cherradi, Oussama El Gannour, Abdelhadi Raihani, Hassan Ouajji:
Cursive Arabic handwritten word recognition system using majority voting and k-NN for feature descriptor selection. Multim. Tools Appl. 82(26): 40657-40681 (2023) - [c18]Wassima Moutaouakil, Soufiane Hamida, Bouchaib Cherradi, Mohammed Jebbari, Shawki Saleh, Abdelhadi Raihani:
Integrating GIS Data with Machine Learning Approaches for Improved Flood Hazard Prediction. NISS 2023: 51:1-51:7 - [c17]Mohamed Amine Mahjoubi, Soufiane Hamida, Bouchaib Cherradi, Oussama El Gannour, Ahmed El Abbassi, Abdelhadi Raihani:
Classifying Brain Tumors using Convolutional Neural Networks on MRI Scans. NISS 2023: 52:1-52:7 - [c16]Driss Lamrani, Soufiane Hamida, Mohammed Amine Bouqentar, Mohamed Amine Mahjoubi, Bouchaib Cherradi, Lhoussain Bahatti:
U-Net-based Artificial Intelligence for Accurate and Robust Brain Tumor Diagnosis using Magnetic Resonance Imaging. NISS 2023: 53:1-53:9 - 2022
- [j6]Othmane Daanouni, Bouchaib Cherradi, Amal Tmiri:
NSL-MHA-CNN: A Novel CNN Architecture for Robust Diabetic Retinopathy Prediction Against Adversarial Attacks. IEEE Access 10: 103987-103999 (2022) - [j5]Fatima-Ezzahra Ait-Bennacer, Abdessadek Aaroud, Khalid Akodadi, Bouchaib Cherradi:
Applying Deep Learning and Computer Vision Techniques for an e-Sport and Smart Coaching System Using a Multiview Dataset: Case of Shotokan Karate. Int. J. Online Biomed. Eng. 18(12): 35-53 (2022) - [j4]Noureddine Ait Ali, Ahmed El Abbassi, Bouchaib Cherradi:
The performances of iterative type-2 fuzzy C-mean on GPU for image segmentation. J. Supercomput. 78(2): 1583-1601 (2022) - 2021
- [j3]Asmae Ouhmida, Abdelhadi Raihani, Bouchaib Cherradi, Oumaima Terrada:
A Novel Approach for Parkinson's Disease Detection Based on Voice Classification and Features Selection Techniques. Int. J. Online Biomed. Eng. 17(10): 111 (2021) - 2020
- [c15]Soufiane Hamida, Bouchaib Cherradi, Oumaima Terrada, Abdelhadi Raihani, Hassan Ouajji, Sara Laghmati:
A Novel Feature Extraction System for Cursive Word Vocabulary Recognition using Local Features Descriptors and Gabor Filter. CommNet 2020: 1-7 - [c14]Sara Laghmati, Bouchaib Cherradi, Amal Tmiri, Othmane Daanouni, Soufiane Hamida:
Classification of Patients with Breast Cancer using Neighbourhood Component Analysis and Supervised Machine Learning Techniques. CommNet 2020: 1-6 - [c13]Oumaima Terrada, Bouchaib Cherradi, Soufiane Hamida, Abdelhadi Raihani, Hicham Moujahid, Omar Bouattane:
Prediction of Patients with Heart Disease using Artificial Neural Network and Adaptive Boosting techniques. CommNet 2020: 1-6 - [c12]Oussama El Gannour, Soufiane Hamida, Bouchaib Cherradi, Abdelhadi Raihani, Hicham Moujahid:
Performance Evaluation of Transfer Learning Technique for Automatic Detection of Patients with COVID-19 on X-Ray Images. ICECOCS 2020: 1-6 - [c11]Soufiane Hamida, Oussama El Gannour, Bouchaib Cherradi, Hassan Ouajji, Abdelhadi Raihani:
Optimization of Machine Learning Algorithms Hyper-Parameters for Improving the Prediction of Patients Infected with COVID-19. ICECOCS 2020: 1-6 - [c10]Hicham Moujahid, Bouchaib Cherradi, Mohammed Al-Sarem, Lhoussain Bahatti:
Diagnosis of COVID-19 Disease Using Convolutional Neural Network Models Based Transfer Learning. IRICT 2020: 148-159 - [c9]Othmane Daanouni, Bouchaib Cherradi, Amal Tmiri:
Diabetes Diseases Prediction Using Supervised Machine Learning and Neighbourhood Components Analysis. NISS 2020: 68:1-68:5 - [c8]Hicham Moujahid, Bouchaib Cherradi, Lhoussain Bahatti:
Convolutional Neural Networks for Multimodal Brain MRI Images Segmentation: A Comparative Study. SADASC 2020: 329-338
2010 – 2019
- 2019
- [c7]Noureddine Ait Ali, Bouchaib Cherradi, Ahmed El Abbassi, Omar Bouattane, Mohamed Youssfi:
Parallel Implementation and Performance Evaluation of some Supervised Clustering Algorithms for MRI Images Segmentation. BDIoT 2019 - [c6]Othmane Daanouni, Bouchaib Cherradi, Amal Tmiri:
Predicting diabetes diseases using mixed data and supervised machine learning algorithms. SCA 2019: 85:1-85:6 - [c5]Sara Laghmati, Amal Tmiri, Bouchaib Cherradi:
Machine Learning based System for Prediction of Breast Cancer Severity. WINCOM 2019: 1-5 - 2018
- [j2]Noureddine Ait Ali, Bouchaib Cherradi, Ahmed El Abbassi, Omar Bouattane, Mohamed Youssfi:
GPU fuzzy c-means algorithm implementations: performance analysis on medical image segmentation. Multim. Tools Appl. 77(16): 21221-21243 (2018) - [c4]Oumaima Terrada, Bouchaib Cherradi, Abdelhadi Raihani, Omar Bouattane:
A fuzzy medical diagnostic support system for cardiovascular diseases diagnosis using risk factors. ICECOCS 2018: 1-6 - 2017
- [c3]Noureddine Ait Ali, Bouchaib Cherradi, Ahmed El Abbassi, Omar Bouattane, Mohamed Youssfi:
New parallel hybrid implementation of bias correction fuzzy C-means algorithm. ATSIP 2017: 1-6 - 2016
- [c2]N. Aitali, Bouchaib Cherradi, Ahmed El Abbassi, Omar Bouattane, Mohamed Youssfi:
GPU based implementation of spatial fuzzy c-means algorithm for image segmentation. CIST 2016: 460-464 - 2015
- [c1]N. Aitali, Bouchaib Cherradi, Omar Bouattane, Mohamed Youssfi, Abdelhadi Raihani:
New fine-grained clustering algorithm on GPU architecture for bias field correction and MRI image segmentation. ICM 2015: 118-121 - 2011
- [j1]Omar Bouattane, Bouchaib Cherradi, Mohamed Youssfi, Mohamed O. Bensalah:
Parallel c-means algorithm for image segmentation on a reconfigurable mesh computer. Parallel Comput. 37(4-5): 230-243 (2011)
Coauthor Index
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last updated on 2024-10-07 22:20 CEST by the dblp team
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