Ghazala Hcini

Orcid: 0000-0003-3571-417X

According to our database1, Ghazala Hcini authored at least 11 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Dynamic Weighted Multimodal Fusion for Explainable Chest X-Ray Segmentation Using Integrated Gradients.
Proceedings of the 18th International Conference on Agents and Artificial Intelligence, 2026

2025
K-Means Clustered Quantization for Efficient CNN-Based Skin Lesion Classification.
Proceedings of the 9th IEEE Forum on Research and Technologies for Society and Industry, 2025

Towards Privacy-Aware and Explainable Alzheimer's Diagnosis Using Lime and Federated Learning.
Proceedings of the 37th IEEE International Conference on Tools with Artificial Intelligence, 2025

Boosting Hyperspectral Image Classification with a 3D CNN and Vision Transformer Hybrid Architecture.
Proceedings of the 11th International Conference on Control, 2025

2024
Deep Learning and Machine Learning for Malaria Detection: Overview, Challenges and Future Directions.
Int. J. Inf. Technol. Decis. Mak., September, 2024

Investigating Deep Learning for Early Detection and Decision-Making in Alzheimer's Disease: A Comprehensive Review.
Neural Process. Lett., June, 2024

Convolutional Neural Networks and Vision Transformers for Fashion MNIST Classification: A Literature Review.
CoRR, 2024

Customized Convolutional Neural Networks for Plant Disease Detection on Leaf Images.
Proceedings of the 1st Euro-Mediterranean Workshop on Artificial Intelligence and Smart Systems (WAISS 2024) co-located with the 17th International Conference on Verification and Evaluation of Computer and Communication Systems (VECoS 2024), 2024

2023
HSV-Net: A Custom CNN for Malaria Detection with Enhanced Color Representation.
Proceedings of the International Conference on Cyberworlds, 2023

2022
Study of Different Deep Learning Methods for Coronavirus (COVID-19) Pandemic: Taxonomy, Survey and Insights.
Sensors, 2022

Improving Malaria Detection Using L1 Regularization Neural Network.
J. Univers. Comput. Sci., 2022


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