| 2025 | ITS | Efficient Attention-Guided CNN for Alzheimer's Disease Prediction. | Rahma Kadri, Bassem Bouaziz, Mohamed Tmar, Faez Gargouri |
| 2025 | KES | A Multimodal Transformer with Adaptive GAN for Brain Disease Prediction. | Rahma Kadri, Bassem Bouaziz, Mohamed Tmar, Faez Gargouri |
| 2021 | HIS | Alzheimer's Disease Detection Using Deep ECA-ResNet101 Network with DCGAN. | Rahma Kadri, Mohamed Tmar, Bassem Bouaziz, Faez Gargouri |
| 2021 | ISDA | Deep Squeeze and Excitation-Densely Connected Convolutional Network with cGAN for Alzheimer's Disease Early Detection. | Rahma Kadri, Mohamed Tmar, Bassem Bouaziz, Faez Gargouri |
| 2021 | KSEM | Alzheimer's Disease Prediction Using EfficientNet and Fastai. | Rahma Kadri, Mohamed Tmar, Bassem Bouaziz |
| 2020 | ISDA | Hybrid Approach to Define Semantic Relationships. | Nesrine Ksentini, Siwar Zayani, Mohamed Tmar, Faez Gargouri |
| 2017 | BIBE | Towards Probabilistic Simulation of Tandem Mass Spectrometry Fragmentation Applied for Peptide Identification. | Hatem Loukil, Mohamed Tmar, Mahdi Louati, Afif Masmoudi, Faez Gargouri |
| 2017 | ICONIP | A New Vector Space Model Based on the Deep Learning. | Hanen Karamti, Mohamed Tmar, Faez Gargouri |
| 2017 | ISDA | Towards a Contextual and Semantic Information Retrieval System Based on Non-negative Matrix Factorization Technique. | Nesrine Ksentini, Mohamed Tmar, Faez Gargouri |
| 2017 | KES | A new vector space model for image retrieval. | Hanen Karamti, Mohamed Tmar, Faez Gargouri |
| 2017 | PDCAT | Models and Run-Time Systems for Data Intensive Workflow Applications. | Nahla Haddar, Mohamed Tmar |
| 2015 | ISDA | Controlled automatic query expansion based on a new method arisen in machine learning for detection of semantic relationships between terms. | Nesrine Ksentini, Mohamed Tmar, Faez Gargouri |
| 2015 | SEKE | Image retrieval based on structural and textual context. | Sana Fakhfakh, Mohamed Tmar, Walid Mahdi |
| 2015 | WEBIST | Content-based Image Retrieval System with Relevance Feedback. | Hanen Karamti, Mohamed Tmar, Faez Gargouri |
| 2014 | AAIM | An Optimal Context for Information Retrieval. | Rabeb Mbarek, Mohamed Tmar, Hawete Hattab |
| 2014 | AICCSA | Content-based image retrieval system using neural network. | Hanen Karamti, Mohamed Tmar, Faez Gargouri |
| 2014 | APWEB | Structural-Based Relevance Feedback in XML Retrieval. | Ins Kamoun Fourati, Mohamed Tmar, Abdelmajid Ben Hamadou |
| 2014 | CICLING | A New Relevance Feedback Algorithm Based on Vector Space Basis Change. | Rabeb Mbarek, Mohamed Tmar, Hawete Hattab |
| 2014 | WEBIST | Multimedia Retrieval based on Geometric Distance in Semi-structured Document. | Sana Fakhfakh, Mohamed Tmar, Walid Mahdi |
| 2014 | WEBIST | Detection of Semantic Relationships between Terms with a New Statistical Method. | Nesrine Ksentini, Mohamed Tmar, Faez Gargouri |
| 2013 | DEXA | A Framework for Data-Driven Workflow Management: Modeling, Verification and Execution. | Nahla Haddar, Mohamed Tmar, Faez Gargouri |
| 2012 | SPIRE | Relevance Feedback Method Based on Vector Space Basis Change. | Rabeb Mbarek, Mohamed Tmar |
| 2011 | IC3K | Structure-based Interrogation and Automatic Query Reformulation. | Mohamed Ben Aouicha, Ins Kamoun Fourati, Mohamed Tmar, Abdelmajid Ben Hamadou |
| 2011 | WEBIST | How Integrate Structural Dimension in Relevance Feedback in XML Retrieval. | Ins Kamoun Fourati, Mohamed Tmar, Abdelmajid Ben Hamadou |
| 2010 | AICCSA | Small-worlds clustering applied to documents re-ranking. | Mohamed Khazri, Mohamed Tmar, Mohamed Abid |
| 2010 | SAC | Flexible document-query matching based on a probabilistic content and structure score combination. | Mohamed Benaouicha, Mohamed Tmar, Mohand Boughanem |
| 2009 | FQAS | Structural Relevance Feedback in XML Retrieval. | Ins Kamoun Fourati, Mohamed Tmar, Abdelmajid Ben Hamadou |
| 2009 | FQAS | Query Reformulation Based on Relevance Feedback. | Imen Taktak, Mohamed Tmar, Abdelmajid Ben Hamadou |
| 2009 | KES | Using the Mesh Thesaurus to Index a Medical Article: Combination of Content, Structure and Semantics. | Jihen Majdoubi, Mohamed Tmar, Faez Gargouri |
| 2009 | SEKE | Another New Criterion to Improve the Interaction Diagrams Quality. | Lilia Grati, Mohamed Tmar, Faez Gargouri |
| 2009 | SEKE | Ontology-based Semantic Annotations of Medical Articles. | Jihen Majdoubi, Mohamed Tmar, Faez Gargouri |
| 2002 | SAC | Incremental adaptive filtering: profile learning and threshold calibration. | Mohand Boughanem, Mohamed Tmar |
| 2000 | SPIRE | Learning Profile in Routing: Comparison between Relevance and Gradient Back-Propagation. | Mohamed Tmar, Mohand Boughanem |