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Amina Aboulmira
Observed name:
Amina ABOULMIRA
Institution:
Université Hassan 1er
Observed institution:
Université Hassan 1er
ORCID:
0009-0003-0421-8867
Observed ORCID:
0009-0003-0421-8867
OpenAlex ID:
A5064689161
Hybrid Model with Wavelet Decomposition and EfficientNet for Accurate Skin Cancer Classification
2024
·
Amina Aboulmira
, Hamid Hrimech
, et al.
·
Journal of Cancer
·
33
PDF
Comparative Study of Multiple CNN Models for Classification of 23 Skin Diseases
2022
·
Amina Aboulmira
, Hamid Hrimech
, et al.
·
International Journal of Online and Biomedical Engineering (iJOE)
·
27
PDF
Skin Diseases Classification with Machine Learning and Deep Learning Techniques: A Systematic Review
2024
·
Amina Aboulmira
, Hamid Hrimech
, et al.
·
International Journal of Advanced Computer Science and Applications
·
17
PDF
Ensemble learning methods for deep learning: Application to skin lesions classification
2022
·
Amina Aboulmira
, El Mehdi Raouhi
, et al.
·
International Symposium on Signal, Image, Video and Communications (ISIVC)
·
15
SkinHealthMate app: An AI-powered digital platform for skin disease diagnosis
2024
·
Amina Aboulmira
, Mohamed Lachgar
, et al.
·
Systems and Soft Computing
·
12
Attention-guided multimodal skin disease classification using discounted Dempster–Shafer fusion and EfficientNet
2025
·
Amina Aboulmira
, Hamid Hrimech
, et al.
·
Informatics in Medicine Unlocked
·
10
Leveraging Contrastive Learning for Enhanced Skin Diseases Classification
2024
·
Amina Aboulmira
, Hamid Hrimech
, et al.
·
International Conference on Ubiquitous Networking (UNet)
·
2
Skin Diseases Classification Based on Attention Architecture and Processing Branch
2024
·
Amina Aboulmira
, Hamid Hrimech
, et al.
·
SSRN Electronic Journal
Advancing Dermatological Diagnostics: A Comparative Analysis of CNN Models in Skin Disease Classification
2024
·
Amina Aboulmira
, Oussama Fikri
, et al.
·
Lecture notes in networks and systems
Evaluating FFT-Based Convolutions on Skin Diseases Dataset
2023
·
Amina Aboulmira
, Hamid Hrimech
, et al.
·
Lecture notes on data engineering and communications technologies
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Works count:
11
Citation count:
116
H-index:
6
I10-index:
6
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