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ORCIDMohamed Tmar
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2020 – today
- 2023
[j10]Rahma Kadri
, Bassem Bouaziz, Mohamed Tmar, Faïez Gargouri:
Efficient multimodel method based on transformers and CoAtNet for Alzheimer's diagnosis. Digit. Signal Process. 143: 104229 (2023)- 2022
- [c63]Nesrine Ksentini, Siwar Zayani, Mohamed Tmar, Faïez Gargouri:
Hybrid query expansion using linguistic resources and word embeddings. TACC 2022: 12-22 - 2021
- [j9]Rahma Kadri, Bassem Bouaziz, Mohamed Tmar, Faïez Gargouri:
CrossViT Wide Residual Squeeze-and-Excitation Network for Alzheimer's disease classification with self attention ProGAN data augmentation. Int. J. Hybrid Intell. Syst. 17(3-4): 163-177 (2021) - [c62]Rahma Kadri, Mohamed Tmar, Bassem Bouaziz, Faïez Gargouri:
Alzheimer's Disease Detection Using Deep ECA-ResNet101 Network with DCGAN. HIS 2021: 376-385 - [c61]Rahma Kadri, Mohamed Tmar, Bassem Bouaziz, Faïez Gargouri:
Deep Squeeze and Excitation-Densely Connected Convolutional Network with cGAN for Alzheimer's Disease Early Detection. ISDA 2021: 441-451 - [c60]Rahma Kadri, Mohamed Tmar, Bassem Bouaziz:
Alzheimer's Disease Prediction Using EfficientNet and Fastai. KSEM 2021: 452-463 - 2020
- [c59]Nesrine Ksentini, Siwar Zayani, Mohamed Tmar, Faïez Gargouri:
Hybrid Approach to Define Semantic Relationships. ISDA 2020: 1404-1413
2010 – 2019
- 2018
- [j8]Hanen Karamti, Mohamed Tmar, Muriel Visani, Thierry Urruty, Faïez Gargouri:
Vector space model adaptation and pseudo relevance feedback for content-based image retrieval. Multim. Tools Appl. 77(5): 5475-5501 (2018) - [c58]Siwar Zayani, Nesrine Ksentini, Mohamed Tmar, Faïez Gargouri:
Miracl at CLEF 2018 : Consumer Health Search Task. CLEF (Working Notes) 2018 - 2017
- [j7]Hatem Loukil, Mohamed Tmar, Mahdi Louati, Afif Masmoudi, Faïez Gargouri:
Impact of a priori MS/MS intensity distributions on database search for peptide identification. Digit. Signal Process. 67: 52-60 (2017) - [c57]Hatem Loukil, Mohamed Tmar, Mahdi Louati, Afif Masmoudi, Faïez Gargouri:
Towards Probabilistic Simulation of Tandem Mass Spectrometry Fragmentation Applied for Peptide Identification. BIBE 2017: 367-372 - [c56]Nahla Haddar Ouali, Mohamed Tmar:
Efficiency of Artifact-Centric Paradigm: A Literature Study. ICIME 2017: 50-54 - [c55]Hanen Karamti, Mohamed Tmar, Faïez Gargouri:
A New Vector Space Model Based on the Deep Learning. ICONIP (6) 2017: 750-758 - [c54]Nesrine Ksentini, Mohamed Tmar, Faïez Gargouri:
Towards a Contextual and Semantic Information Retrieval System Based on Non-negative Matrix Factorization Technique. ISDA 2017: 892-902 - [c53]Hanen Karamti, Mohamed Tmar, Faïez Gargouri:
A new vector space model for image retrieval. KES 2017: 771-779 - [c52]Nahla Haddar, Mohamed Tmar:
Models and Run-Time Systems for Data Intensive Workflow Applications. PDCAT 2017: 429-436 - 2016
- [j6]Nahla Haddar, Mohamed Tmar, Faïez Gargouri:
A data-centric approach to manage business processes. Computing 98(4): 375-406 (2016) - [j5]Rabeb Mbarek, Mohamed Tmar, Mohand Boughanem:
On Improving Pseudo-Relevance Feedback using an Absorbing Document. Int. J. Web Appl. 8(1): 8-15 (2016) - [c51]Rabeb Mbarek, Mohamed Tmar, Hawete Hattab, Mohand Boughanem:
A Re-Ranking Method Based on Irrelevant Documents in Ad-Hoc Retrieval. SLATE 2016: 2:1-2:10 - 2015
- [j4]Sana Fakhfakh, Mohamed Tmar, Walid Mahdi:
A study of Impact of Integration Structural Context in Multimedia Retrieval: Application on Image Media. Res. Comput. Sci. 90: 323-335 (2015) - [c50]Nahla Haddar, Mohamed Tmar, Faïez Gargouri:
Opus framework: A proof-of-concept implementation. ICIS 2015: 639-641 - [c49]Nesrine Ksentini, Mohamed Tmar, Mohand Boughanem, Faïez Gargouri:
Miracl at Clef 2015 : User-Centred Health Information Retrieval Task. CLEF (Working Notes) 2015 - [c48]Nesrine Ksentini, Mohamed Tmar, Faïez Gargouri:
Controlled automatic query expansion based on a new method arisen in machine learning for detection of semantic relationships between terms. ISDA 2015: 134-139 - [c47]Sana Fakhfakh, Mohamed Tmar, Walid Mahdi:
Image retrieval based on structural and textual context. SEKE 2015: 725 - [c46]Hanen Karamti, Mohamed Tmar, Faïez Gargouri:
Content-based Image Retrieval System with Relevance Feedback. WEBIST 2015: 287-292 - 2014
- [j3]Rabeb Mbarek, Mohamed Tmar, Hawete Hattab:
Vector Space Basis Change in Information Retrieval. Computación y Sistemas 18(3) (2014) - [c45]Rabeb Mbarek, Mohamed Tmar, Hawete Hattab:
An Optimal Context for Information Retrieval. AAIM 2014: 323-330 - [c44]Hanen Karamti, Mohamed Tmar, Faïez Gargouri:
Content-based image retrieval system using neural network. AICCSA 2014: 723-728 - [c43]Inès Kamoun Fourati, Mohamed Tmar, Abdelmajid Ben Hamadou:
Structural-Based Relevance Feedback in XML Retrieval. APWeb 2014: 461-468 - [c42]Rabeb Mbarek, Mohamed Tmar, Hawete Hattab:
A New Relevance Feedback Algorithm Based on Vector Space Basis Change. CICLing (2) 2014: 355-366 - [c41]Nesrine Ksentini, Mohamed Tmar, Faïez Gargouri:
Miracl at Clef 2014 : eHealth Information Retrieval Task. CLEF (Working Notes) 2014: 203-209 - [c40]Sana Fakhfakh, Belhassen Akrout, Mohamed Tmar, Walid Mahdi:
A Visual Search of Multimedia Documents in ImageCLEF 2014. CLEF (Working Notes) 2014: 715-723 - [c39]Hanen Karamti, Sana Fakhfakh, Mohamed Tmar, Faïez Gargouri:
MIRACL at ImageCLEF 2014: Plant Identification Task. CLEF (Working Notes) 2014: 747-755 - [c38]Hanen Karamti, Mohamed Tmar, Faïez Gargouri:
Vectorization of Content-based Image Retrieval Process Using Neural Network. ICEIS (2) 2014: 435-439 - [c37]Sana Fakhfakh, Mohamed Tmar, Walid Mahdi:
Combination of Textual and Structural Context for Retrieving Multimedia Elements. KES-AMSTA 2014: 77-86 - [c36]Hanen Karamti, Mohamed Tmar, Faïez Gargouri:
MIRACL's participation at MediaEval 2014 Retrieving Diverse Social Images Task. MediaEval 2014 - [c35]Nahla Haddar, Mohamed Tmar, Faïez Gargouri:
Generating Analytic Data Models Around Workflow Applications. SEBD 2014: 139-150 - [c34]Rabeb Mbarek, Mohamed Tmar, Hawete Hattab:
Rocchio's Model Based on Vector Space Basis Change for Pseudo Relevance Feedback. SLATE 2014: 215-224 - [c33]Sana Fakhfakh, Mohamed Tmar, Walid Mahdi:
Multimedia Retrieval based on Geometric Distance in Semi-structured Document. WEBIST (1) 2014: 220-225 - [c32]Nesrine Ksentini, Mohamed Tmar, Faïez Gargouri:
Detection of Semantic Relationships between Terms with a New Statistical Method. WEBIST (2) 2014: 340-343 - 2013
- [c31]Nahla Haddar, Mohamed Tmar, Faïez Gargouri:
A Framework for Data-Driven Workflow Management: Modeling, Verification and Execution. DEXA (1) 2013: 239-253 - [c30]Sana Fakhfakh, Mohamed Tmar, Walid Mahdi:
A New Metric for Multimedia Retrieval in Structured Documents. ICEIS (2) 2013: 240-247 - 2012
- [j2]Jihen Majdoubi, Hatem Loukil, Mohamed Tmar, Faïez Gargouri:
An approach based on langage modeling for improving biomedical information retrieval. Int. J. Knowl. Based Intell. Eng. Syst. 16(4): 235-246 (2012) - [c29]Jihen Majdoubi, Hatem Loukil, Mohamed Tmar, Faïez Gargouri:
Medical Case-based Retrieval by Using a Language Model: MIRACL at ImageCLEF 2012. CLEF (Online Working Notes/Labs/Workshop) 2012 - [c28]Nahla Haddar, Mohamed Tmar, Faïez Gargouri:
Implementation of a Data-driven Workflow Management System. CSE 2012: 111-118 - [c27]Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha, Mohamed Tmar, Abdelmajid Ben Hamadou:
Wikipedia Category Graph and New Intrinsic Information Content Metric for Word Semantic Relatedness Measuring. ICDKE 2012: 128-140 - [c26]Rabeb Mbarek, Mohamed Tmar:
Relevance Feedback Method Based on Vector Space Basis Change. SPIRE 2012: 342-347 - 2011
- [c25]Mohamed Ben Aouicha, Inès Kamoun Fourati, Mohamed Tmar, Abdelmajid Ben Hamadou:
Structure-based Interrogation and Automatic Query Reformulation. KMIS 2011: 123-128 - [c24]Inès Kamoun Fourati, Mohamed Tmar, Abdelmajid Ben Hamadou:
How Integrate Structural Dimension in Relevance Feedback in XML Retrieval. WEBIST 2011: 577-582 - 2010
- [c23]Mohamed Khazri, Mohamed Tmar, Mohamed Abid:
Small-worlds clustering applied to documents re-ranking. AICCSA 2010: 1-6 - [c22]Jihen Majdoubi, Mohamed Tmar, Faïez Gargouri:
SIAM : système d'indexation des articles médicaux. EGC 2010: 697-698 - [c21]Jihen Majdoubi, Mohamed Tmar, Faïez Gargouri:
Thesaurus based Semantic Representation in Language Modeling for Medical Article Indexing. ICEIS (2) 2010: 65-74 - [c20]Mohamed Benaouicha, Mohamed Tmar, Mohand Boughanem:
Flexible document-query matching based on a probabilistic content and structure score combination. SAC 2010: 1728-1734
2000 – 2009
- 2009
- [j1]Mohamed Khazri, Mohamed Tmar, Mohamed Abid, Mohand Boughanem:
Proposition pour l'intégration des réseaux petits mondes en recherche d'information. ARIMA J. 11: 5 (2009) - [c19]Imen Taktak, Mohamed Tmar, Abdelmajid Ben Hamadou:
Query Reformulation Based on Relevance Feedback. FQAS 2009: 134-144 - [c18]Inès Kamoun Fourati, Mohamed Tmar, Abdelmajid Ben Hamadou:
Structural Relevance Feedback in XML Retrieval. FQAS 2009: 168-178 - [c17]Jihen Majdoubi, Mohamed Tmar, Faïez Gargouri:
Using the Mesh Thesaurus to Index a Medical Article: Combination of Content, Structure and Semantics. KES (1) 2009: 277-284 - [c16]Jihen Majdoubi, Mohamed Tmar, Faïez Gargouri:
Ontology-based Semantic Annotations of Medical Articles. SEKE 2009: 258-261 - [c15]Lilia Grati, Mohamed Tmar, Faïez Gargouri:
Another New Criterion to Improve the Interaction Diagrams Quality. SEKE 2009: 613-618 - 2008
- [c14]Wiem Yaiche Elleuch, Lobna Jéribi, Mohamed Tmar, Abdelmajid Ben Hamadou:
Approche par réutilisation d'annotations sémantiques pour la recherche d'information sur le web. CORIA 2008: 491-498 - [c13]Mohamed Benaouicha, Mohamed Tmar, Mohand Boughanem, Mohamed Abid:
XML Information Retrieval Based on Tree Matching. ECBS 2008: 499-500 - [c12]Wiem Yaiche Elleuch, Lobna Jéribi, Mohamed Tmar, Abdelmajid Ben Hamadou:
Case Based Reasoning using semantic annotations to assist the information retrieval on the web. ECCBR Workshops 2008: 23-32 - [c11]Mohamed Khazri, Mohamed Tmar, Mohand Boughanem, Mohamed Abid:
Classification des documents en réseaux petits-mondes en vue d'apprentissage. EGC 2008: 199-200 - 2006
- [c10]Mohamed Benaouicha, Mohamed Tmar, Mohand Boughanem:
Vers une stratégie de recherche d'information structurée basée sur lacomparaison d'arbres. CORIA 2006: 65-71 - [c9]Inès Kamoun Fourati, Mohamed Tmar, Mohand Boughanem:
Reformulation automatique de la requête en recherche d'information structurée. INFORSID 2006: 263-274 - 2004
- [c8]Mohand Boughanem, Hamid Tebri, Mohamed Tmar:
Apprentissage par renforcement dans un système de filtrage adaptatif. CORIA 2004: 27-40 - [c7]Mohand Boughanem, Hamid Tebri, Mohamed Tmar:
Apprentissage incrémental des profils dans un système de filtrage d'information. EGC 2004: 485-490 - 2002
- [c6]Mohamed Tmar:
Calibrage du seuil par linéarisation des scores par intervalles dans un système de filtrage adaptatif. INFORSID 2002: 55-71 - [c5]Mohand Boughanem, Mohamed Tmar:
Incremental adaptive filtering: profile learning and threshold calibration. SAC 2002: 640-644 - [c4]Mohand Boughanem, Hamid Tebri, Mohamed Tmar:
IRIT at TREC 2002: Filtering Track. TREC 2002 - 2001
- [c3]Mohand Boughanem, Claude Chrisment, Mohamed Tmar:
Mercure and MercureFiltre Applied for Web and Filtering Tasks at TREC-10. TREC 2001 - 2000
- [c2]Mohamed Tmar, Mohand Boughanem:
Learning Profile in Routing: Comparison between Relevance and Gradient Back-Propagation. SPIRE 2000: 253-259 - [c1]M. Abchiche, Mohand Boughanem, Taoufiq Dkaki, Josiane Mothe, Chantal Soulé-Dupuy, Mohamed Tmar:
Mercure at trec9: Web and Filtering tasks. TREC 2000
Coauthor Index
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