Olfa Ben Ahmed

According to our database, Olfa Ben Ahmed authored at least 31 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Towards Efficient Driver Distraction Detection with DARTS-Optimized Lightweight Models.

Yassamine Lala Bouali, Olfa Ben Ahmed, Smaine Mazouzi, Abbas Bradai

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

2023

Energy Efficiency Optimization in LoRa Networks - A Deep Learning Approach.

Lam-Thanh Tu, Abbas Bradai, Olfa Ben Ahmed, Sahil Garg, Yannis Pousset, Georges Kaddoum

IEEE Trans. Intell. Transp. Syst., December, 2023

PSCS-Net: Perception Optimized Image Reconstruction Network for Autonomous Driving Systems.

Zakaria Bairi, Olfa Ben Ahmed, Abdenour Amamra, Abbas Bradai, Kadda Beghdad Bey

IEEE Trans. Intell. Transp. Syst., February, 2023

Dual-Path Image Reconstruction: Bridging Vision Transformer and Perceptual Compressive Sensing Networks.

Zakaria Bairi, Kadda Beghdad Bey, Olfa Ben Ahmed, Abdenour Amamra, Abbas Bradai

Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023

2022

Deep learning-based video quality enhancement for the new versatile video coding.

Soulef Bouaafia, Randa Khemiri, Seifeddine Messaoud, Olfa Ben Ahmed, Fatma Ezahra Sayadi

Neural Comput. Appl., 2022

Attention-guided neural network for early dementia detection using MRS data.

Anouar Kherchouche, Olfa Ben Ahmed, Carole Guillevin, Benoit Tremblais, Adrien Julian, Christine Fernandez-Maloigne, Rémy Guillevin

Comput. Medical Imaging Graph., 2022

A Self-attentive Meta-learning Approach for Image-Based Few-Shot Disease Detection.

Achraf Ouahab, Olfa Ben Ahmed, Christine Fernandez-Maloigne

Proceedings of the Resource-Efficient Medical Image Analysis - First MICCAI Workshop, 2022

MISS-Net: Multi-view Contrastive Transformer Network for MCI Stages Prediction Using Brain ¹⁸F-FDG PET Imaging.

Anouar Kherchouche, Olfa Ben Ahmed, Carole Guillevin, Benoit Tremblais, Christine Fernandez-Maloigne, Rémy Guillevin

Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022

Video Memorability Prediction using Deep Features and Loss-based Memorability Distribution Estimation.

Safaa Azzakhnini, Olfa Ben Ahmed, Christine Fernandez-Maloigne

Proceedings of the Working Notes Proceedings of the MediaEval 2022 Workshop, 2022

MRS-XNet: An Explainable One-Dimensional Deep Neural Network for Magnetic Spectroscopic Data Classification.

Anouar Kherchouche, Olfa Ben Ahmed, Carole Guillevin, Benoit Tremblais, Adrien Julian, Rémy Guillevin

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Cross-Modal Learning for Audio-Visual Emotion Recognition in Acted Speech.

Yassamine Lala Bouali, Olfa Ben Ahmed, Smaine Mazouzi

Proceedings of the 6th International Conference on Advanced Technologies for Signal and Image Processing, 2022

2021

Deep Federated Q-Learning-Based Network Slicing for Industrial IoT.

Seifeddine Messaoud, Abbas Bradai, Olfa Ben Ahmed, Pham Tran Anh Quang, Mohamed Atri, M. Shamim Hossain

IEEE Trans. Ind. Informatics, 2021

TWIN-GRU: Twin Stream GRU Network for Action Recognition from RGB Video.

Hajer Essefi, Olfa Ben Ahmed, Christel Bidet-Ildei, Yannick Blandin, Christine Fernandez-Maloigne

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

Explainable AI for Medical Imaging: Knowledge Matters.

Pascal Bourdon, Olfa Ben Ahmed, Thierry Urruty, Khalifa Djemal, Christine Fernandez-Maloigne

Proceedings of the Multi-faceted Deep Learning - Models and Data, 2021

2020

A survey on machine learning in Internet of Things: Algorithms, strategies, and applications.

Seifeddine Messaoud, Abbas Bradai, Syed Hashim Raza Bukhari, Pham Tran Anh Quang, Olfa Ben Ahmed, Mohamed Atri

Internet Things, 2020

DeepMRS: An End-to-End Deep Neural Network for Dementia Disease Detection using MRS Data.

Olfa Ben Ahmed, Seifeddine Fezzani, Carole Guillevin, Lobna Fezai, Mathieu Naudin, Benoit Gianelli, Christine Fernandez-Maloigne

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Toward Content-Based Hyperspectral Remote Sensing Image Retrieval (CB-HRSIR): A Preliminary Study Based on Spectral Sensitivity Functions.

Olfa Ben Ahmed, Thierry Urruty, Noël Richard, Christine Fernandez-Maloigne

Remote. Sens., 2019

2018

A Study on the Sensitivity-Based Discriminative Hyperspectral Image Content Representation.

Olfa Ben Ahmed, Thierry Urruty, Noël Richard, Christine Fernandez-Maloigne

Proceedings of the 2018 International Conference on Content-Based Multimedia Indexing, 2018

Deep Multimodal Features for Movie Genre and Interestingness Prediction.

Olfa Ben Ahmed, Benoit Huet

Proceedings of the 2018 International Conference on Content-Based Multimedia Indexing, 2018

2017

Recognition of Alzheimer's disease and Mild Cognitive Impairment with multimodal image-derived biomarkers and Multiple Kernel Learning.

Olfa Ben Ahmed, Jenny Benois-Pineau, Michèle Allard, Gwénaëlle Catheline, Chokri Ben Amar

Neurocomputing, 2017

NexGenTV: Providing Real-Time Insight during Political Debates in a Second Screen Application.

Olfa Ben Ahmed, Gabriel Sargent, Florian Garnier, Benoit Huet, Vincent Claveau, Laurence Couturier, Raphaël Troncy, Guillaume Gravier, Philémon Bouzy, Fabrice Leménorel

Proceedings of the 2017 ACM on Multimedia Conference, 2017

EURECOM@MediaEval 2017: Media Genre Inference for Predicting Media Interestingness.

Olfa Ben Ahmed, Jonas Wacker, Alessandro Gaballo, Benoit Huet

Proceedings of the Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), 2017

Multi-view visual saliency-based MRI classification for alzheimer's disease diagnosis.

Olfa Ben Ahmed, François Lecellier, Marc Paccalin, Christine Fernandez-Maloigne

Proceedings of the Seventh International Conference on Image Processing Theory, 2017

Modeling multimodal cues in a deep learning-based framework for emotion recognition in the wild.

Stefano Pini, Olfa Ben Ahmed, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara, Benoit Huet

Proceedings of the 19th ACM International Conference on Multimodal Interaction, 2017

Saliency Guided Computer-aided Diagnosis for Neurodegenerative Dementia.

Olfa Ben Ahmed, Mohamed-Chaker Larabi, Marc Paccalin, Christine Fernandez-Maloigne

Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017

2015

Classification des IRM par les descripteurs de contenu : application au diagnostic précoce de la maladie d'Alzheimer. (Features-based MRI brain classification with domain knowledge : application to Alzheimer's disease diagnosis).

Olfa Ben Ahmed

PhD thesis, 2015

Classification of Alzheimer's disease subjects from MRI using hippocampal visual features.

Olfa Ben Ahmed, Jenny Benois-Pineau, Michèle Allard, Chokri Ben Amar, Gwénaëlle Catheline

Multim. Tools Appl., 2015

Alzheimer's disease diagnosis on structural MR images using circular harmonic functions descriptors on hippocampus and posterior cingulate cortex.

Olfa Ben Ahmed, Maxim M. Mizotin, Jenny Benois-Pineau, Michèle Allard, Gwénaëlle Catheline, Chokri Ben Amar

Comput. Medical Imaging Graph., 2015

Features-based approach for Alzheimer's disease diagnosis using visual pattern of water diffusion in tensor diffusion imaging.

Olfa Ben Ahmed, Jenny Benois-Pineau, Chokri Ben Amar, Michele Aliara, Gwenaelle Catheline

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014

Diffusion Tensor Imaging retrieval for Alzheimer's disease diagnosis.

Olfa Ben Ahmed, Jenny Benois-Pineau, Michèle Allard, Gwenaelle Catheline, Chokri Ben Amar

Proceedings of the 12th International Workshop on Content-Based Multimedia Indexing, 2014

2013

Early Alzheimer disease detection with bag-of-visual-words and hybrid fusion on structural MRI.

Olfa Ben Ahmed, Jenny Benois-Pineau, Chokri Ben Amar, Michèle Allard, Gwenaelle Catheline

Proceedings of the 11th International Workshop on Content-Based Multimedia Indexing, 2013