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ORCIDNabila Zrira
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2020 – today
- 2024
[c18]Nouhaila Erragzi, Abdelghani Moussaid, Nabila Zrira, Ibtissam Benmiloud, Rajaa Sebihi, Nabil Ngote:
Insights Into YOLOv9-Based Breast Mass Detection Using Ultrasound Images. IPTA 2024: 1-6- [c17]Zineb Farahat, Nabila Zrira, Nissrine Souissi, Sajid Rahim, Aqsa Rahim, Mohammed Belmekki, Nabil Ngote, Kawtar Megdiche:
Diabetic Retinopathy Detection Through Retinal Vessel Segmentation Using Swin U-Net Model. IPTA 2024: 1-7 - [c16]Asmae Zanbouaa, Nabila Zrira, Saad Slimani, Anass Allak, Ibtissam Benmiloud, El-Houssine Bouyakhf:
Enhancing Fetal Classification Accuracy through Computer-Aided Impainting Techniques. ISIVC 2024: 1-6 - 2023
- [c15]Zineb Farahat
, Laura Lalondre, Nabila Zrira, Kamal Marzouki, Azar Abdeljelil, Mohamed Hannat, Ikhlass Serraji, Wassim Joualla, Imane Hilal, Ibtissam Benmiloud, Nabil Ngote, Kawtar Megdiche:
On the Use of Modeling 3D Reconstruction and 3D Printing Methods to Improve Simulation-Based Training in Cardiology. ASONAM 2023: 543-550 - [c14]Zineb Farahat, Mailys Payen, Nabila Zrira, Adnan Anouzla, Bahia El Abdi, Zakaria Tlemsani, Ibtissam Benmiloud, Imane Hilal, Rawane Elhadiq, Nabil Ngote, Kawtar Megdiche:
Improved Ureteroscopies Care Through the Use of 3D Printing Techniques. ASONAM 2023: 566-570 - [c13]Nouhaila Erragzi, Nabila Zrira, Anwar Jimi, Ibtissam Benmiloud, Rajaa Sebihi, Nabil Ngote:
US-Net: A Breast Ultrasound Image Segmentation using Deep Learning. ASONAM 2023: 596-602 - [c12]Anwar Jimi, Hind Abouche, Nabila Zrira, Ibtissam Benmiloud:
Skin Lesion Segmentation Using Attention-Based DenseUNet. BIOINFORMATICS 2023: 91-100 - 2022
- [c11]Hind Abouche, Anwar Jimi, Nabila Zrira, Ibtissam Benmiloud:
Segmentation and Classification of Dermoscopic Skin Cancer on Green Channel. ASONAM 2022: 347-354 - [c10]Anwar Jimi, Hind Abouche, Nabila Zrira, Ibtissam Benmiloud:
Automated Skin Lesion Segmentation using VGG-UNet. ASONAM 2022: 370-377 - [c9]Ablavi Ericka Armela Kaneho, Nabila Zrira, Patrick Loola Bokonda, Khadija Ouazzani Touhami:
A Survey on Existing Chatbots for Pregnant Women's Healthcare. ICECOCS 2022: 1-6 - 2020
- [p1]Nabila Zrira, Mohamed Hannat, El-Houssine Bouyakhf:
3D Object Categorization in Cluttered Scene Using Deep Belief Network Architectures. Nature-Inspired Computation in Data Mining and Machine Learning 2020: 161-186
2010 – 2019
- 2019
- [j6]Fatima Zahra Ouadiay, Nabila Zrira, Mohamed Hannat, El-Houssine Bouyakhf, Mohamed Majid Himmi:
3D object classification based on deep belief networks and point clouds. Int. J. Comput. Vis. Robotics 9(6): 527-558 (2019) - [j5]Nabila Zrira, Mehdi Abouzahir, El-Houssine Bouyakhf, Ibtissam Benmiloud, Mohamed Majid Himmi:
Learning combined features for automatic facial expression recognition. Int. J. Knowl. Eng. Soft Data Paradigms 6(3/4): 153-169 (2019) - 2018
- [j4]Nabila Zrira, Haris Ahmad Khan, El-Houssine Bouyakhf:
Discriminative Deep Belief Network for Indoor Environment Classification Using Global Visual Features. Cogn. Comput. 10(3): 437-453 (2018) - [j3]Soufiana Mekouar, Nabila Zrira, El-Houssine Bouyakhf:
Community outlier detection in social networks based on graph matching. Int. J. Auton. Adapt. Commun. Syst. 11(3): 209-231 (2018) - [j2]Nabila Zrira, El-Houssine Bouyakhf:
A novel incremental topological mapping using global visual features. Int. J. Comput. Vis. Robotics 8(1): 18-31 (2018) - [j1]Nabila Zrira, Soufiana Mekouar, El-Houssine Bouyakhf:
A novel approach for graph-based global outlier detection in social networks. Int. J. Secur. Networks 13(2): 108-128 (2018) - [c8]Nabila Zrira, Kawthar Mouhcine, Ibtissam Benmiloud, El-Houssine Bouyakhf:
Dynamic texture-based scene classification using Deep Belief Networks. LOPAL 2018: 57:1-57:6 - 2017
- [c7]Soufiana Mekouar, Nabila Zrira, El-Houssine Bouyakhf:
Popularity Prediction of Videos in YouTube as Case Study: A Regression Analysis Study. BDCA 2017: 51:1-51:6 - [c6]Nabila Zrira, Fatima Zahra Ouadiay, Mohamed Hannat, El-Houssine Bouyakhf, Mohamed Majid Himmi:
Evaluation of PCL's Descriptors for 3D Object Recognition in Cluttered Scene. BDCA 2017: 81:1-81:6 - [c5]Nabila Zrira, Mohamed Hannat, El-Houssine Bouyakhf:
VFH-Color and Deep Belief Network for 3D Point Cloud Recognition. IbPRIA 2017: 445-452 - [c4]Nabila Zrira, Mohamed Hannat, El-Houssine Bouyakhf, Haris Ahmad Khan:
Generative vs. Discriminative Deep Belief Netwok for 3D Object Categorization. VISIGRAPP (5: VISAPP) 2017: 98-107 - 2016
- [c3]El Mehdi El Graoui, Nabila Zrira, Soufiana Mekouar, Imade Benelallam, El-Houssine Bouyakhf:
Outlier and anomalous behavior detection in social networks using constraint programming. AICCSA 2016: 1-8 - [c2]Fatima Zahra Ouadiay, Nabila Zrira, El-Houssine Bouyakhf, M. Majid Himmi:
3D Object Categorization and Recognition based on Deep Belief Networks and Point Clouds. ICINCO (2) 2016: 311-318 - [c1]Mohamed Hannat, Nabila Zrira, Younes Raoui, El-Houssine Bouyakhf:
A fast object recognition and categorization technique for robot grasping using the visual bag of words. ICMCS 2016: 173-178
Coauthor Index
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