Hariri, W. & Boumezaid, M. A. (2024, November). Automatic Weather Detection Using Vision Transformers and Adaptive Transfer Learning. In 2024 International Conference of the African Federation of Operational Research Societies (AFROS) (pp. 1-5). IEEE.
Hariri, W, Baraka, F. D., & Boulemden, A. (2024, November). Predicting Energy Consumption in Smart Buildings Using Machine Learning and Environmental Variables. In 2024 International Conference of the African Federation of Operational Research Societies (AFROS) (pp. 1-5). IEEE.
Hariri, W. and Haouli, I. Advanced Deep Transfer Learning Using Ensemble Models for COVID-19 Detection from X-ray Images. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, ISBN 978-989-758-634-7, ISSN 2184-4321, pages 355-362, (2023)- Lisbon, Portugal.
Zaabi, M., Hariri, W., & Smaoui, N. A review study of ChatGPT applications in education. In International Conference on Innovations in Intelligent Systems and Applications (INISTA) (pp. 1-5). IEEE, (2023, September, Hammamet, Tunisia).
Haouli I, Hariri W, Seridi H. (2023), Exploring Vision Transformers for Automated Glaucoma Disease Diagnosis in Fundus Images. International Conference on Decision Aid Sciences and Applications (DASA): IEEE, https://ieeexplore.ieee.org/abstract/document/10286714/
Boumezaid A, Hariri W. (2023), Alzheimer Disease Detection Using Advanced Transfer Learning Techniques on MRI Images. International Conference on Decision Aid Sciences and Applications (DASA): IEEE, https://ieeexplore.ieee.org/abstract/document/10286802/
Haouli I, Hariri, W, Seridi H, Glaucoma detection using optimal batch size for transfer learning and ensemble model techniques, 12th International Conference on Information Systems and Advanced Technologies “ICISAT 2022”. Lecture Notes in Networks and Systems, vol 624. Springer, Cham. https://doi.org/10.1007/978-3-031-25344-7_19
Thair K, Hariri, W, Smaoui N. Ben Aissa D, Face recognition in multiple variations using deep learning and convolutional neural networks. IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT), 305, 311, 2022, Hammamet, Tunisia, Doi 10.1109/SETIT54465.2022.9875477
H A Ali, Hariri, W, Smaoui N. Ben Aissa D, A Comparison of Machine Learning Methods for best Accuracy COVID-19 Diagnosis Using Chest X-Ray Images. IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT), 349, 355, 2022, Hammamet, Tunisia , Doi 10.1109/SETIT54465.2022.9875477
Zaabi, Hariri, W, Smaoui N. Haouli, A Comprehensive Review of Sound-based Modalities for Automatic COVID-19 Detection using Deep Learning-based Techniques. IEEE International Conference on Information Technology & Smart Industrial Systems (ITSIS), 2022, Paris, France.
Hariri, W, Farah, N. Efficient Graph-based Kernel using Covariance Descriptors for 3D Facial Expression Classification. In Proceedings of the 1st International Conference on Intelligent Systems and Pattern Recognition (pp. 7-11). (2020, October).
Zaabi, M, Smaoui, N, Hariri, W, Derbel, H, Medical Imaging-based Techniques for Alzheimer's Disease Detection: A Survey. In 2021 18th International Multi-Conference on Systems, Signals & Devices (SSD) (pp. 1202-1208). IEEE. (2021, March).
Zaabi, M, Smaoui, N, Derbel, H, Hariri, W, Alzheimer's disease detection using convolutional neural networks and transfer learning based methods. In 2020 17th International Multi-Conference on Systems, Signals & Devices (SSD) (pp. 939-943). IEEE. (2020, July).
Hariri, W, Tabia, H., Farah, N, Declercq, D, and Benouareth, A. Hierarchical covariance description for 3d face matching and recognition under expression variation. In International Conference on 3D Imaging (IC3D), pages 1–7. IEEE, 2016.
Hariri, W, Tabia, H., Farah, N., Declercq, D., and Benouareth, A. Geometrical and visual feature quantization for 3d face recognition. In VISAPP, 12th Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2017.
Hariri, W and Marwa Zaabi, Deep Residual Feature Quantization for 3D Face Recognition, 1st National Conference on Applied Computing and Smart Technologies, (July, 2021).
