Imen Jdey
Orcid: 0000-0001-7937-941X
According to our database1,
Imen Jdey authored at least 28 papers
between 2021 and 2026.
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Bibliography
2026
A Native Supervision Approach to Arabic VLM: Overcoming Transliteration Bias for Semantic Accuracy.
Proceedings of the 18th International Conference on Agents and Artificial Intelligence, 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
BEFT vs. LoRA: Parameter-Efficient Fine-Tuning for Auto-Optimized Vision Transformers in Image Classification.
Proceedings of the 18th International Conference on Agents and Artificial Intelligence, 2026
Residual U-Net with Spatial Feature Refinement and Channel Sensitivity Enhancement for Accurate Segmentation of Cochineal Insect Infestation.
Proceedings of the 18th International Conference on Agents and Artificial Intelligence, 2026
2025
Proceedings of the 9th IEEE Forum on Research and Technologies for Society and Industry, 2025
Auto-Optimized Parameter-Efficient Fine-Tuning for Skin Lesion Classification with Vision Transformers.
Proceedings of the 9th IEEE Forum on Research and Technologies for Society and Industry, 2025
Automated Impacted Tooth Segmentation in Panoramic Radiographs Using UNet and UNet3+ with Grad-Cam Explainability.
Proceedings of the 9th IEEE Forum on Research and Technologies for Society and Industry, 2025
Towards Explainable Skin Cancer Diagnosis: A Vision Transformer Approach with Grad-CAM Visualization.
Proceedings of the International Joint Conference on Neural Networks, 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
Federated Learning Harnessed with Differential Privacy for Heart Disease Prediction: Enhancing Privacy and Accuracy.
Proceedings of the 17th International Conference on Agents and 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
Automatic tooth instance segmentation and identification from panoramic X-Ray images using deep CNN.
Multim. Tools Appl., May, 2024
Exploring the role of Convolutional Neural Networks (CNN) in dental radiography segmentation: A comprehensive Systematic Literature Review.
Eng. Appl. Artif. Intell., 2024
Convolutional Neural Networks and Vision Transformers for Fashion MNIST Classification: A Literature Review.
CoRR, 2024
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
XG-ViT: Explainable and Generalizable Vision Transformer for Benchmark Image classification.
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
IoT-Enhanced Tomato Leaf Disease Identification Using MLP-Mixer in Agricultural Environments.
Proceedings of the Intelligent Decision Technologies, 2024
Improvement of Satellite Image Classification Using Attention-Based Vision Transformer.
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024
2023
A blockchain-based federated learning mechanism for privacy preservation of healthcare IoT data.
Comput. Biol. Medicine, December, 2023
Proceedings of the International Conference on Cyberworlds, 2023
Performance Comparison of Machine Learning Methods Based on CNN for Satellite Imagery Classification.
Proceedings of the 9th International Conference on Control, 2023
2022
Study of Different Deep Learning Methods for Coronavirus (COVID-19) Pandemic: Taxonomy, Survey and Insights.
Sensors, 2022
J. Univers. Comput. Sci., 2022
Proceedings of the Service-Oriented Computing - ICSOC 2022 Workshops - ASOCA, AI-PA, FMCIoT, WESOACS 2022, Sevilla, Spain, November 29, 2022
Proceedings of the 8th International Conference on Control, 2022
2021
Bayesian Hyperparameter Optimization of Deep Neural Network Algorithms Based on Ant Colony Optimization.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021