| An outranking approach for rank aggregation in information retrieval M Farah, D Vanderpooten 30th annual international ACM SIGIR conference on Research and development …, 2007 | 134 | 2007 |
| Hyperspectral imagery classification based on semi-supervised 3-D deep neural network and adaptive band selection A Sellami, M Farah, IR Farah, B Solaiman Expert Systems with Applications 129, 246-259, 2019 | 114 | 2019 |
| Remote sensing scene classification using convolutional features and deep forest classifier Y Boualleg, M Farah, IR Farah IEEE Geoscience and Remote Sensing Letters 16 (12), 1944-1948, 2019 | 80 | 2019 |
| Hyperspectral imagery semantic interpretation based on adaptive constrained band selection and knowledge extraction techniques A Sellami, M Farah, IR Farah, B Solaiman IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 24 | 2018 |
| An outranking approach for information retrieval M Farah, D Vanderpooten Information Retrieval 11, 315-334, 2008 | 24 | 2008 |
| Enhanced Interactive Remote Sensing Image Retrieval with Scene Classification Convolutional Neural Networks Model Y Boualleg, M Farah IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 18 | 2018 |
| Comparative study of dimensionality reduction methods for remote sensing images interpretation A Sellami, M Farah 2018 4th International Conference on Advanced Technologies for Signal and …, 2018 | 17 | 2018 |
| A multiple criteria approach for information retrieval M Farah, D Vanderpooten 13th International Symposium on String Processing and Information REtrieval …, 2006 | 11 | 2006 |
| A symbiotic organisms search algorithm for feature selection in satellite image classification Z Jaffel, M Farah 2018 4th International Conference on Advanced Technologies for Signal and …, 2018 | 10 | 2018 |
| Graph of Concepts for Semantic Annotation of Remotely Sensed Images based on Direct Neighbors in RAG K Amiri, M Farah Canadian Journal of Remote Sensing 44 (6), 551-574, 2018 | 9 | 2018 |
| A critical analysis of lifecycles and methods for ontology construction and evaluation H Nefzi, M Farah, IR Farah, B Solaiman 2014 1st International Conference on Advanced Technologies for Signal and …, 2014 | 9 | 2014 |
| A non-stationary NDVI time series modelling using triplet Markov chain AB Abbes, M Farah, IR Farah, V Barra International Journal of Information and Decision Sciences 11 (2), 163-179, 2019 | 8 | 2019 |
| Ordinal Regression Based Model for Personalized Information Retrieval M Farah International Conference on the Theory of Information Retrieval (ICTIR 2009 …, 2009 | 8 | 2009 |
| A Multicriteria paradigm of relevance for web Information Retrieval Problem M Farah, D Vanderpooten 3rd International Conference on Sciences of Electronic, Technologies of …, 2005 | 6 | 2005 |
| BoVSG: bag of visual SubGraphs for remote sensing scene classification K Amiri, M Farah, UM Leloglu International Journal of Remote Sensing 41 (5), 1986-2003, 2020 | 5 | 2020 |
| A similarity-based framework for the alignment of an ontology for remote sensing M Farah, H Nefzi, IR Farah Computers & Geosciences 96, 202-207, 2016 | 5 | 2016 |
| L'Agrégation en recherche d'information: Une revue critique des principaux modèles théoriques de recherche d'information M Farah, D Vanderpooten COnférence en Recherche d'Infomations et Applications (CORIA 2007), 125-136, 2007 | 5* | 2007 |
| Radiometric indices-based spectro-spatial approach for hyperspectral image classification K Amiri, Y Boualleg, M Farah The Egyptian Journal of Remote Sensing and Space Science 23 (3), 287-301, 2020 | 4 | 2020 |
| TLDCNN: A Triplet Low Dimensional Convolutional Neural Networks For High-Resolution Remote Sensing Image Retrieval Y Boualleg, M Farah, IR Farah 2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium …, 2020 | 4 | 2020 |
| Fuzzy Spatio-Spectro-Temporal Ontology for Remote Sensing Image Annotation and Interpretation: Application to Natural Risks Assessment W Messaoudi, M Farah, IR Farah International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2019 | 4 | 2019 |
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