Bouchaib Cherradi

According to our database, Bouchaib Cherradi authored at least 27 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Predicting patients with Parkinson's disease using Machine Learning and ensemble voting technique.

Shawki Saleh, Bouchaib Cherradi, Oussama El Gannour, Soufiane Hamida, Omar Bouattane

Multim. Tools Appl., March, 2024

An improved breast cancer disease prediction system using ML and PCA.

Sara Laghmati, Soufiane Hamida, Khadija Hicham, Bouchaib Cherradi, Amal Tmiri

Multim. Tools Appl., March, 2024

2023

Cursive Arabic handwritten word recognition system using majority voting and k-NN for feature descriptor selection.

Soufiane Hamida, Bouchaib Cherradi, Oussama El Gannour, Abdelhadi Raihani, Hassan Ouajji

Multim. Tools Appl., November, 2023

Handwritten computer science words vocabulary recognition using concatenated convolutional neural networks.

Soufiane Hamida, Oussama El Gannour, Bouchaib Cherradi, Hassan Ouajji, Abdelhadi Raihani

Multim. Tools Appl., June, 2023

A Novel Explainable CNN Model for Screening COVID-19 on X-ray Images.

Hicham Moujahid, Bouchaib Cherradi, Oussama El Gannour, Wamda Abdelrahman Elhag Nagmeldin, Abdelzahir Abdelmaboud, Mohammed Al-Sarem, Lhoussain Bahatti, Faisal Saeed, Mohammed Hadwan

Comput. Syst. Sci. Eng., 2023

Integrating GIS Data with Machine Learning Approaches for Improved Flood Hazard Prediction.

Wassima Moutaouakil, Soufiane Hamida, Bouchaib Cherradi, Mohammed Jebbari, Shawki Saleh, Abdelhadi Raihani

Proceedings of the 6th International Conference on Networking, 2023

Classifying Brain Tumors using Convolutional Neural Networks on MRI Scans.

Mohamed Amine Mahjoubi, Soufiane Hamida, Bouchaib Cherradi, Oussama El Gannour, Ahmed El Abbassi, Abdelhadi Raihani

Proceedings of the 6th International Conference on Networking, 2023

U-Net-based Artificial Intelligence for Accurate and Robust Brain Tumor Diagnosis using Magnetic Resonance Imaging.

Driss Lamrani, Soufiane Hamida, Mohammed Amine Bouqentar, Mohamed Amine Mahjoubi, Bouchaib Cherradi, Lhoussain Bahatti

Proceedings of the 6th International Conference on Networking, 2023

2022

Applying Deep Learning and Computer Vision Techniques for an e-Sport and Smart Coaching System Using a Multiview Dataset: Case of Shotokan Karate.

Fatima-Ezzahra Ait-Bennacer, Abdessadek Aaroud, Khalid Akodadi, Bouchaib Cherradi

Int. J. Online Biomed. Eng., September, 2022

The performances of iterative type-2 fuzzy C-mean on GPU for image segmentation.

Noureddine Ait Ali, Ahmed El Abbassi, Bouchaib Cherradi

J. Supercomput., 2022

NSL-MHA-CNN: A Novel CNN Architecture for Robust Diabetic Retinopathy Prediction Against Adversarial Attacks.

Othmane Daanouni, Bouchaib Cherradi, Amal Tmiri

IEEE Access, 2022

2020

Convolutional Neural Networks for Multimodal Brain MRI Images Segmentation: A Comparative Study.

Hicham Moujahid, Bouchaib Cherradi, Lhoussain Bahatti

Proceedings of the Smart Applications and Data Analysis - Third International Conference, 2020

Diabetes Diseases Prediction Using Supervised Machine Learning and Neighbourhood Components Analysis.

Othmane Daanouni, Bouchaib Cherradi, Amal Tmiri

Proceedings of the NISS 2020: The 3rd International Conference on Networking, Information Systems & Security, Marrakech, Morocco, March 31, 2020

Optimization of Machine Learning Algorithms Hyper-Parameters for Improving the Prediction of Patients Infected with COVID-19.

Soufiane Hamida, Oussama El Gannour, Bouchaib Cherradi, Hassan Ouajji, Abdelhadi Raihani

Proceedings of the 2nd IEEE International Conference on Electronics, 2020

Performance Evaluation of Transfer Learning Technique for Automatic Detection of Patients with COVID-19 on X-Ray Images.

Oussama El Gannour, Soufiane Hamida, Bouchaib Cherradi, Abdelhadi Raihani, Hicham Moujahid

Proceedings of the 2nd IEEE International Conference on Electronics, 2020

Prediction of Patients with Heart Disease using Artificial Neural Network and Adaptive Boosting techniques.

Oumaima Terrada, Bouchaib Cherradi, Soufiane Hamida, Abdelhadi Raihani, Hicham Moujahid, Omar Bouattane

Proceedings of the 3rd International Conference on Advanced Communication Technologies and Networking, 2020

Classification of Patients with Breast Cancer using Neighbourhood Component Analysis and Supervised Machine Learning Techniques.

Sara Laghmati, Bouchaib Cherradi, Amal Tmiri, Othmane Daanouni, Soufiane Hamida

Proceedings of the 3rd International Conference on Advanced Communication Technologies and Networking, 2020

A Novel Feature Extraction System for Cursive Word Vocabulary Recognition using Local Features Descriptors and Gabor Filter.

Soufiane Hamida, Bouchaib Cherradi, Oumaima Terrada, Abdelhadi Raihani, Hassan Ouajji, Sara Laghmati

Proceedings of the 3rd International Conference on Advanced Communication Technologies and Networking, 2020

2019

Machine Learning based System for Prediction of Breast Cancer Severity.

Sara Laghmati, Amal Tmiri, Bouchaib Cherradi

Proceedings of the 2019 International Conference on Wireless Networks and Mobile Communications, 2019

Predicting diabetes diseases using mixed data and supervised machine learning algorithms.

Othmane Daanouni, Bouchaib Cherradi, Amal Tmiri

Proceedings of the 4th International Conference on Smart City Applications, 2019

Parallel Implementation and Performance Evaluation of some Supervised Clustering Algorithms for MRI Images Segmentation.

Noureddine Ait Ali, Bouchaib Cherradi, Ahmed El Abbassi, Omar Bouattane, Mohamed Youssfi

Proceedings of the BDIoT'19: The 4th International Conference On Big Data and Internet of Things, 2019

2018

GPU fuzzy c-means algorithm implementations: performance analysis on medical image segmentation.

Noureddine Ait Ali, Bouchaib Cherradi, Ahmed El Abbassi, Omar Bouattane, Mohamed Youssfi

Multim. Tools Appl., 2018

A fuzzy medical diagnostic support system for cardiovascular diseases diagnosis using risk factors.

Oumaima Terrada, Bouchaib Cherradi, Abdelhadi Raihani, Omar Bouattane

Proceedings of the 2018 International Conference on Electronics, 2018

2017

New parallel hybrid implementation of bias correction fuzzy C-means algorithm.

Noureddine Ait Ali, Bouchaib Cherradi, Ahmed El Abbassi, Omar Bouattane, Mohamed Youssfi

Proceedings of the 2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2017

2016

GPU based implementation of spatial fuzzy c-means algorithm for image segmentation.

N. Aitali, Bouchaib Cherradi, Ahmed El Abbassi, Omar Bouattane, Mohamed Youssfi

Proceedings of the 4th IEEE International Colloquium on Information Science and Technology, 2016

2015

New fine-grained clustering algorithm on GPU architecture for bias field correction and MRI image segmentation.

N. Aitali, Bouchaib Cherradi, Omar Bouattane, Mohamed Youssfi, Abdelhadi Raihani

Proceedings of the 27th International Conference on Microelectronics, 2015

2011

Parallel c-means algorithm for image segmentation on a reconfigurable mesh computer.

Omar Bouattane, Bouchaib Cherradi, Mohamed Youssfi, Mohamed O. Bensalah

Parallel Comput., 2011