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2020 – today
- 2024
[j4]Mohamed Limam El Hairach
, Amal Tmiri, Insaf Bellamine:
Univariate Outlier Detection: Precision-Driven Algorithm for Single-Cluster Scenarios. Algorithms 17(6): 259 (2024)- [j3]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
- [c10]Mohamed Limam El Hairach, Insaf Bellamine, Amal Tmiri:
Anomaly Detection in PV Modules: A Comparative Study of DBSCAN, k-means, Isolation Forest, and LOF. CiSt 2023: 135-139 - [c9]Khadija Hicham, Sara Laghmati, Amal Tmiri:
3D CT Scans for Colorectal Cancer Classification using VGG16 and Data Augmentation. WINCOM 2023: 1-4 - 2022
- [j2]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) - [c8]Lale El Mouna, Hassan Silkan, Youssef Hanyf, Amal Tmiri, Abdellatif Dahmouni:
Comparative Study of Deep Learning Models for Detection and Classification of Intracranial Hemorrhage. CBI 2022: 122-131 - 2020
- [j1]Insaf Bellamine, Hassan Silkan, Amal Tmiri:
Track color space-time interest points in video. Multim. Tools Appl. 79(33-34): 24579-24593 (2020) - [c7]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 - [c6]Insaf Bellamine, Hassan Silkan, Amal Tmiri:
Motion Detection Using the Dynamic Color Texture. NISS 2020: 6:1-6:6 - [c5]Othmane Daanouni, Bouchaib Cherradi, Amal Tmiri:
Diabetes Diseases Prediction Using Supervised Machine Learning and Neighbourhood Components Analysis. NISS 2020: 68:1-68:5
2010 – 2019
- 2019
- [c4]Othmane Daanouni, Bouchaib Cherradi, Amal Tmiri:
Predicting diabetes diseases using mixed data and supervised machine learning algorithms. SCA 2019: 85:1-85:6 - [c3]Sara Laghmati, Amal Tmiri, Bouchaib Cherradi:
Machine Learning based System for Prediction of Breast Cancer Severity. WINCOM 2019: 1-5 - 2018
- [e1]Essaid Sabir, Mohamed Sadik, Amal Tmiri, Rachid El Azouzi, Eitan Altman:
6th International Conference on Wireless Networks and Mobile Communications, WINCOM 2018, Marrakesh, Morocco, October 16-19, 2018. IEEE 2018, ISBN 978-1-5386-7330-0 [contents] - 2016
- [c2]Abderrahim Khatabi, Amal Tmiri, Ahmed Serhir:
An Efficient Method of Improving Image Retrieval Using Combined Global and Local Features. UNet 2016: 431-443 - 2015
- [c1]Abderrahim Khatabi, Amal Tmiri, Ahmed Serhir:
A Novel Approach for Computing the Coefficient of ART Descriptor Using Polar Coordinates for Gray-Level and Binary Images. UNet 2015: 391-401
Coauthor Index
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