Bouchaib Cherradi
Orcid: 0000-0002-2016-8682
According to our database1,
Bouchaib Cherradi
authored at least 32 papers
between 2011 and 2024.
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Bibliography
2024
Identifying learning styles in MOOCs environment through machine learning predictive modeling.
Educ. Inf. Technol., November, 2024
Predicting patients with Parkinson's disease using Machine Learning and ensemble voting technique.
Multim. Tools Appl., March, 2024
Multim. Tools Appl., March, 2024
An Integrated Multimodal Deep Learning Framework for Accurate Skin Disease Classification.
Int. J. Online Biomed. Eng., 2024
2023
Cursive Arabic handwritten word recognition system using majority voting and k-NN for feature descriptor selection.
Multim. Tools Appl., November, 2023
Handwritten computer science words vocabulary recognition using concatenated convolutional neural networks.
Multim. Tools Appl., June, 2023
Optimizing Machine Learning Algorithms for Heart Disease Classification and Prediction.
Int. J. Online Biomed. Eng., 2023
Comput. Syst. Sci. Eng., 2023
Integrating GIS Data with Machine Learning Approaches for Improved Flood Hazard Prediction.
Proceedings of the 6th International Conference on Networking, 2023
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.
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.
Int. J. Online Biomed. Eng., September, 2022
J. Supercomput., 2022
NSL-MHA-CNN: A Novel CNN Architecture for Robust Diabetic Retinopathy Prediction Against Adversarial Attacks.
IEEE Access, 2022
2021
A Novel Approach for Parkinson's Disease Detection Based on Voice Classification and Features Selection Techniques.
Int. J. Online Biomed. Eng., 2021
2020
Convolutional Neural Networks for Multimodal Brain MRI Images Segmentation: A Comparative Study.
Proceedings of the Smart Applications and Data Analysis - Third International Conference, 2020
Diabetes Diseases Prediction Using Supervised Machine Learning and Neighbourhood Components Analysis.
Proceedings of the NISS 2020: The 3rd International Conference on Networking, Information Systems & Security, Marrakech, Morocco, March 31, 2020
Diagnosis of COVID-19 Disease Using Convolutional Neural Network Models Based Transfer Learning.
Proceedings of the Innovative Systems for Intelligent Health Informatics, 2020
Optimization of Machine Learning Algorithms Hyper-Parameters for Improving the Prediction of Patients Infected with COVID-19.
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.
Proceedings of the 2nd IEEE International Conference on Electronics, 2020
Prediction of Patients with Heart Disease using Artificial Neural Network and Adaptive Boosting techniques.
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.
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.
Proceedings of the 3rd International Conference on Advanced Communication Technologies and Networking, 2020
2019
Proceedings of the 2019 International Conference on Wireless Networks and Mobile Communications, 2019
Predicting diabetes diseases using mixed data and supervised machine learning algorithms.
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.
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.
Multim. Tools Appl., 2018
A fuzzy medical diagnostic support system for cardiovascular diseases diagnosis using risk factors.
Proceedings of the 2018 International Conference on Electronics, 2018
2017
Proceedings of the 2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2017
2016
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.
Proceedings of the 27th International Conference on Microelectronics, 2015
2011
Parallel Comput., 2011