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Mohamed Farah 0001
Person information
- affiliation: SIIVT - RIADI, National School of Computer Science, Tunis, Tunisia
- affiliation (former): ISAMM-RIADI, Manouba, Tunisia
- affiliation (former): University of Paris Dauphine, France
Other persons with the same name
- Mohamed Farah 0002 — University of Poitiers, France
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2020 – today
- 2024
- [c23]Marwen Bouabid, Mohamed Farah:
SnapQuake: Damage Detection in Snapchat Videos for Earthquake Assessment. ACIIDS (Companion 2) 2024: 83-93 - [c22]Khouloud Moussaoui, Mohamed Farah:
Decoding Emotions: Integrating EEG Signals and Facial Expressions for Advanced Multimodal Emotion Recognition. ATSIP 2024: 530-535 - [c21]Montassar Mastour, Mohamed Farah:
Bag-of-Visual-Words Feature Extraction using Graph Convolutional Networks. ATSIP 2024: 536-541 - [c20]Marwen Bouabid, Mohamed Farah:
GAZADeepDav: A High Resolution Geotagged Satellite Imagery Dataset For Analyzing War-Induced Damage. IGARSS 2024: 8876-8879 - 2023
- [j8]Akrem Sellami, Mohamed Farah, Mauro Dalla Mura:
SHCNet: A semi-supervised hypergraph convolutional networks based on relevant feature selection for hyperspectral image classification. Pattern Recognit. Lett. 165: 98-106 (2023) - [c19]Marwen Bouabid, Mohamed Farah:
Crisis Detection by Social and Remote Sensing Fusion: A Selective Attention Approach. ICCCI 2023: 350-362 - 2022
- [c18]Wissal Ben Marzouka, Basel Solaiman, Mohamed Farah, Imed Riadh Farah:
Hypothetical reasoning method based on hypothetical cases. ATSIP 2022: 1-6 - 2020
- [c17]Marwen Bouabid, Mohamed Farah, Imed Riadh Farah:
Suspicious Local Event Detection in Social Media and Remote Sensing: Towards a Geosocial Dataset Construction. ATSIP 2020: 1-6
2010 – 2019
- 2019
- [j7]Akrem Sellami, Mohamed Farah, Imed Riadh Farah, Basel Solaiman:
Hyperspectral imagery classification based on semi-supervised 3-D deep neural network and adaptive band selection. Expert Syst. Appl. 129: 246-259 (2019) - [j6]Ali Ben Abbes, Mohamed Farah, Imed Riadh Farah, Vincent Barra:
A non-stationary NDVI time series modelling using triplet Markov chain. Int. J. Inf. Decis. Sci. 11(2): 163-179 (2019) - [j5]Wassim Messaoudi, Mohamed Farah, Imed Riadh Farah:
Fuzzy Spatio-Spectro-Temporal Ontology for Remote Sensing Image Annotation and Interpretation: Application to Natural Risks Assessment. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 27(5): 815-840 (2019) - [j4]Yaakoub Boualleg, Mohamed Farah, Imed Riadh Farah:
Remote Sensing Scene Classification Using Convolutional Features and Deep Forest Classifier. IEEE Geosci. Remote. Sens. Lett. 16(12): 1944-1948 (2019) - [c16]Sabrine Hafdhellaoui, Yaakoub Boualleg, Mohamed Farah:
Collaborative Clustering Approach Based on Dempster-Shafer Theory for Bag-of-Visual-Words Codebook Generation. Canadian AI 2019: 263-273 - 2018
- [j3]Akrem Sellami, Mohamed Farah, Imed Riadh Farah, Basel Solaiman:
Hyperspectral Imagery Semantic Interpretation Based on Adaptive Constrained Band Selection and Knowledge Extraction Techniques. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(4): 1337-1347 (2018) - [c15]Zaineb Jaffel, Mohamed Farah:
A symbiotic organisms search algorithm for feature selection in satellite image classification. ATSIP 2018: 1-5 - [c14]Bochra Nasri, Hafedh Nefzi, Mohamed Farah:
Towards a hybrid approach for remote sensing ontology construction. ATSIP 2018: 1-5 - [c13]Akrem Sellami, Mohamed Farah:
Comparative study of dimensionality reduction methods for remote sensing images interpretation. ATSIP 2018: 1-6 - [c12]Yaakoub Boualleg, Mohamed Farah:
Enhanced Interactive Remote Sensing Image Retrieval with Scene Classification Convolutional Neural Networks Model. IGARSS 2018: 4748-4751 - [c11]Khitem Amiri, Mohamed Farah:
Enrichment of the Satellitesceneontology with Hyperspectral Images/ Crops and Feature Vectors of Radiometric Indices. IGARSS 2018: 7239-7242 - 2017
- [c10]Khitem Amiri, Mohamed Farah, Imed Riadh Farah:
Fuzzy hypergraph of concepts for semantic annotation of remotely sensed images. ATSIP 2017: 1-8 - 2016
- [j2]Mohamed Farah, Hafed Nefzi, Imed Riadh Farah:
A similarity-based framework for the alignment of an ontology for remote sensing. Comput. Geosci. 96: 202-207 (2016) - [c9]Mohamed Farah, Khitem Amiri, Imed Riadh Farah:
Graph of visual words for semantic annotation of remote sensing images. ATSIP 2016: 606-612 - 2014
- [c8]Hafed Nefzi, Mohamed Farah, Imed Riadh Farah, Basel Solaiman:
A critical analysis of lifecycles and methods for ontology construction and evaluation. ATSIP 2014: 48-53 - [c7]Hafed Nefzi, Mohamed Farah, Imed Riadh Farah, Basel Solaiman:
A Semi-automatic Mapping Selection in the Ontology Alignment Process. KEOD 2014: 459-466 - [c6]Hafedh Nefzi, Mohamed Farah, Imed Riadh Farah, Basel Solaiman:
Towards a new ontology matching approach based on multi-criteria analysis methods. IPAS 2014: 1-7
2000 – 2009
- 2009
- [c5]Mohamed Farah:
Ordinal Regression Based Model for Personalized Information Retrieval. ICTIR 2009: 66-78 - 2008
- [j1]Mohamed Farah, Daniel Vanderpooten:
An outranking approach for information retrieval. Inf. Retr. 11(4): 315-334 (2008) - 2007
- [c4]Mohamed Farah, Daniel Vanderpooten:
L'Agrégation en Recherche d'Information. CORIA 2007: 125-136 - [c3]Mohamed Farah, Daniel Vanderpooten:
An outranking approach for rank aggregation in information retrieval. SIGIR 2007: 591-598 - 2006
- [c2]Mohamed Farah, Daniel Vanderpooten:
A Multiple Criteria Approach for Information Retrieval. SPIRE 2006: 242-254 - 2004
- [c1]Mohamed Farah, Daniel Vanderpooten:
Novel Approaches in Text Information Retrieval - Experiments in the Web Track of TREC 2004. TREC 2004
Coauthor Index
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last updated on 2024-12-08 01:31 CET by the dblp team
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