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Papers by Mohamed Farah
We consider the problem of ranking Web documents within a multicriteria framework and propose a n... more We consider the problem of ranking Web documents within a multicriteria framework and propose a novel approach for the purpose. We focus on the design of a set of criteria aiming at capturing complementary aspects of relevance, while acknowledging that each criterion has a limited precision. Moreover, we provide algorithmic solutions to aggregate these criteria to get the ranking of relevant documents, while taking into account the specificities of the Web information retrieval problem. We report on results of preliminary experiments that give first justification of the pertinence of the proposed approach to improve retrieval effectiveness.
Radiometric indices-based spectro-spatial approach for hyperspectral image classification
The Egyptian Journal of Remote Sensing and Space Science
In this paper, we report our experiments in the mixed query task of the Web track for TREC 2004. ... more In this paper, we report our experiments in the mixed query task of the Web track for TREC 2004. We deal with the problem of ranking Web documents within a mul- ticriteria framework and propose a novel approach for infor- mation retrieval. We focus on the design of a set of crite- ria aiming at capturing complementary aspects of relevance. Moreover, we provide aggregation procedures that are based on decision rules, to get the ranking of relevant documents.
TLDCNN: A Triplet Low Dimensional Convolutional Neural Networks For High-Resolution Remote Sensing Image Retrieval
2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS)
Remote Sensing Scene Classification Using Convolutional Features and Deep Forest Classifier
IEEE Geoscience and Remote Sensing Letters
A Feature Selection-Based Method for an Ontological Enrichment Process in Geographic Knowledge Modelling
Handbook of Research on Geographic Information Systems Applications and Advancements, 2000
String Processing and Information Retrieval: 14th International Symposium, SPIRE 2007, Proceedings
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2007
... VIII SPIRE 2003 Organization Pavel Calado Tomasz Radzik Reem K. Al-Halimi Takuya Kida Renato ... more ... VIII SPIRE 2003 Organization Pavel Calado Tomasz Radzik Reem K. Al-Halimi Takuya Kida Renato Ferreira Wagner Meira Jr. ... Erkka Leppanen, and Kalervo Jarvelin The Implementation and Evaluation of a Lexicon-Based Stemmer 266 Gilberto Silva and Claudia Oliveira ...
Fuzzy Spatio-Spectro-Temporal Ontology for Remote Sensing Image Annotation and Interpretation: Application to Natural Risks Assessment
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
This research deals with semantic interpretation of Remote Sensing Images (RSIs) using ontologies... more This research deals with semantic interpretation of Remote Sensing Images (RSIs) using ontologies which are considered as one of the main challenging methods for modeling high-level knowledge, and reducing the semantic gap between low-level features and high-level semantics of an image. In this paper, we propose a new ontology which allows the annotation as well as the interpretation of RSI with respect to natural risks, while taking into account uncertainty of data, object dynamics in natural scenes, and specificities of sensors. In addition, using this ontology, we propose a methodology to (i) annotate the semantic content of RSI, and (ii) deduce the susceptibility of the land cover to natural phenomena such as erosion, floods, and fires, using case-based reasoning supported by the ontology. This work is tested using LANDSAT and SPOT images of the region of Kef which is situated in the north-west of Tunisia. Results are rather promising.
A non-stationary NDVI time series modelling using triplet Markov chain
International Journal of Information and Decision Sciences
GVIP Journal, ISSN 1687-398X, Volume 15, Issue 1, ICGST LLC, Delaware, USA, June 2015
Computer Vision Graphics and Image Processing
This issue presents several strong papers they are; P1151502359, authored by Eman K. Elsayed and ... more This issue presents several strong papers they are; P1151502359, authored by Eman K. Elsayed and Asmaa M. Eissa, and entitled Ontology base to detect Tampering in Online Digital Images. Paper P1151506360, authored by K. Srinivasa Reddy and V. Venkata Krishna and B. Eswara Reddy, whiche entitled Facial Recognition using the Combination of Significant non uniform Local Binary Pattern. paper P1151506359, authored by Sangita Zope-Chaudhari and Parvatham Venkatachalam and Krishna Mohan Buddhiraju, which entitled WATERMARKING SCHEMES FOR COPYRIGHT PROTECTION OF GEOSPATIAL DATA, A REVIEW. Paper P1151512364, authored by V. R. Khapli and A. S. Bhalchandra, which entitled Multistage VQ based Feature Vector for Effective CBIR. Paper P1151514367, authored by Ashraf K. Helmy and Ayman H. Nasr and Safaa M. Hassan, which entitled Mutual Use of Derived Information from Radarsat-2 and ETM-8 Data for the Improvements of Feature Extraction. Paper P1151514368, authored by Hind H. Zeyada and Mohammed M....
Information Retrieval, 2008
Over the last three decades, research in Information Retrieval (IR) shows performance improvement... more Over the last three decades, research in Information Retrieval (IR) shows performance improvement when many sources of evidence are combined to produce a ranking of documents. Most current approaches assess document relevance by computing a single score which aggregates values of some attributes or criteria. They use analytic aggregation operators which either lead to a loss of valuable information, e.g., the min or lexicographic operators, or allow very bad scores on some criteria to be compensated with good ones, e.g., the weighted sum operator. Moreover, all these approaches do not handle imprecision of criterion scores. In this paper, we propose a multiple criteria framework using a new aggregation mechanism based on decision rules identifying positive and negative reasons for judging whether a document should get a better ranking than another. The resulting procedure also handles imprecision in criteria design. Experimental results are reported showing that the suggested method performs better than standard aggregation operators.
Ordinal Regression Based Model for Personalized Information Retrieval
Retrieving relevant items as a response to a user query is the aim of each information retrieval ... more Retrieving relevant items as a response to a user query is the aim of each information retrieval system. But ‘without an understanding of what relevance means to users, it is difficult to imagine how a system can retrieve relevant information for users’ [1]. In this paper, we try to capture what relevance is for a particular user and model his
A Multiple Criteria Approach for Information Retrieval
Research in Information Retrieval shows performance improvement when many sources of evidence are... more Research in Information Retrieval shows performance improvement when many sources of evidence are combined to produce a ranking of documents. Most current approaches assess document relevance by computing a single score which aggregates values of some attributes or criteria. We propose a multiple criteria framework using an aggregation mechanism based on decision rules identifying positive and negative reasons for judging whether a document should get a better ranking than another. The resulting procedure also handles imprecision in criteria design. Experimental results are reported.
An outranking approach for rank aggregation in information retrieval
Mohamed Farah Lamsade, Paris Dauphine University Place du Mal de Lattre de Tassigny 75775 Paris C... more Mohamed Farah Lamsade, Paris Dauphine University Place du Mal de Lattre de Tassigny 75775 Paris Cedex 16, France farah@lamsade.dauphine.fr ... Daniel Vanderpooten Lamsade, Paris Dauphine University Place du Mal de Lattre de Tassigny 75775 Paris Cedex 16, France ...
phdtheses by Mohamed Farah
Approche multicritère des problèmes de recherche documentaire
articles by Mohamed Farah
Radiometric indices based spectral-spatial method for hyperspectral image classification
BoVSG: Bag of Visual SubGraphs for Remote Sensing scene classification
A semi-automatic query reformulation approach based on a resolution of a set covering problem
Dominance-based rough set approach for personalized information retrieval
We consider the problem of ranking Web documents within a multicriteria framework and propose a n... more We consider the problem of ranking Web documents within a multicriteria framework and propose a novel approach for the purpose. We focus on the design of a set of criteria aiming at capturing complementary aspects of relevance, while acknowledging that each criterion has a limited precision. Moreover, we provide algorithmic solutions to aggregate these criteria to get the ranking of relevant documents, while taking into account the specificities of the Web information retrieval problem. We report on results of preliminary experiments that give first justification of the pertinence of the proposed approach to improve retrieval effectiveness.
Radiometric indices-based spectro-spatial approach for hyperspectral image classification
The Egyptian Journal of Remote Sensing and Space Science
In this paper, we report our experiments in the mixed query task of the Web track for TREC 2004. ... more In this paper, we report our experiments in the mixed query task of the Web track for TREC 2004. We deal with the problem of ranking Web documents within a mul- ticriteria framework and propose a novel approach for infor- mation retrieval. We focus on the design of a set of crite- ria aiming at capturing complementary aspects of relevance. Moreover, we provide aggregation procedures that are based on decision rules, to get the ranking of relevant documents.
TLDCNN: A Triplet Low Dimensional Convolutional Neural Networks For High-Resolution Remote Sensing Image Retrieval
2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS)
Remote Sensing Scene Classification Using Convolutional Features and Deep Forest Classifier
IEEE Geoscience and Remote Sensing Letters
A Feature Selection-Based Method for an Ontological Enrichment Process in Geographic Knowledge Modelling
Handbook of Research on Geographic Information Systems Applications and Advancements, 2000
String Processing and Information Retrieval: 14th International Symposium, SPIRE 2007, Proceedings
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2007
... VIII SPIRE 2003 Organization Pavel Calado Tomasz Radzik Reem K. Al-Halimi Takuya Kida Renato ... more ... VIII SPIRE 2003 Organization Pavel Calado Tomasz Radzik Reem K. Al-Halimi Takuya Kida Renato Ferreira Wagner Meira Jr. ... Erkka Leppanen, and Kalervo Jarvelin The Implementation and Evaluation of a Lexicon-Based Stemmer 266 Gilberto Silva and Claudia Oliveira ...
Fuzzy Spatio-Spectro-Temporal Ontology for Remote Sensing Image Annotation and Interpretation: Application to Natural Risks Assessment
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
This research deals with semantic interpretation of Remote Sensing Images (RSIs) using ontologies... more This research deals with semantic interpretation of Remote Sensing Images (RSIs) using ontologies which are considered as one of the main challenging methods for modeling high-level knowledge, and reducing the semantic gap between low-level features and high-level semantics of an image. In this paper, we propose a new ontology which allows the annotation as well as the interpretation of RSI with respect to natural risks, while taking into account uncertainty of data, object dynamics in natural scenes, and specificities of sensors. In addition, using this ontology, we propose a methodology to (i) annotate the semantic content of RSI, and (ii) deduce the susceptibility of the land cover to natural phenomena such as erosion, floods, and fires, using case-based reasoning supported by the ontology. This work is tested using LANDSAT and SPOT images of the region of Kef which is situated in the north-west of Tunisia. Results are rather promising.
A non-stationary NDVI time series modelling using triplet Markov chain
International Journal of Information and Decision Sciences
GVIP Journal, ISSN 1687-398X, Volume 15, Issue 1, ICGST LLC, Delaware, USA, June 2015
Computer Vision Graphics and Image Processing
This issue presents several strong papers they are; P1151502359, authored by Eman K. Elsayed and ... more This issue presents several strong papers they are; P1151502359, authored by Eman K. Elsayed and Asmaa M. Eissa, and entitled Ontology base to detect Tampering in Online Digital Images. Paper P1151506360, authored by K. Srinivasa Reddy and V. Venkata Krishna and B. Eswara Reddy, whiche entitled Facial Recognition using the Combination of Significant non uniform Local Binary Pattern. paper P1151506359, authored by Sangita Zope-Chaudhari and Parvatham Venkatachalam and Krishna Mohan Buddhiraju, which entitled WATERMARKING SCHEMES FOR COPYRIGHT PROTECTION OF GEOSPATIAL DATA, A REVIEW. Paper P1151512364, authored by V. R. Khapli and A. S. Bhalchandra, which entitled Multistage VQ based Feature Vector for Effective CBIR. Paper P1151514367, authored by Ashraf K. Helmy and Ayman H. Nasr and Safaa M. Hassan, which entitled Mutual Use of Derived Information from Radarsat-2 and ETM-8 Data for the Improvements of Feature Extraction. Paper P1151514368, authored by Hind H. Zeyada and Mohammed M....
Information Retrieval, 2008
Over the last three decades, research in Information Retrieval (IR) shows performance improvement... more Over the last three decades, research in Information Retrieval (IR) shows performance improvement when many sources of evidence are combined to produce a ranking of documents. Most current approaches assess document relevance by computing a single score which aggregates values of some attributes or criteria. They use analytic aggregation operators which either lead to a loss of valuable information, e.g., the min or lexicographic operators, or allow very bad scores on some criteria to be compensated with good ones, e.g., the weighted sum operator. Moreover, all these approaches do not handle imprecision of criterion scores. In this paper, we propose a multiple criteria framework using a new aggregation mechanism based on decision rules identifying positive and negative reasons for judging whether a document should get a better ranking than another. The resulting procedure also handles imprecision in criteria design. Experimental results are reported showing that the suggested method performs better than standard aggregation operators.
Ordinal Regression Based Model for Personalized Information Retrieval
Retrieving relevant items as a response to a user query is the aim of each information retrieval ... more Retrieving relevant items as a response to a user query is the aim of each information retrieval system. But ‘without an understanding of what relevance means to users, it is difficult to imagine how a system can retrieve relevant information for users’ [1]. In this paper, we try to capture what relevance is for a particular user and model his
A Multiple Criteria Approach for Information Retrieval
Research in Information Retrieval shows performance improvement when many sources of evidence are... more Research in Information Retrieval shows performance improvement when many sources of evidence are combined to produce a ranking of documents. Most current approaches assess document relevance by computing a single score which aggregates values of some attributes or criteria. We propose a multiple criteria framework using an aggregation mechanism based on decision rules identifying positive and negative reasons for judging whether a document should get a better ranking than another. The resulting procedure also handles imprecision in criteria design. Experimental results are reported.
An outranking approach for rank aggregation in information retrieval
Mohamed Farah Lamsade, Paris Dauphine University Place du Mal de Lattre de Tassigny 75775 Paris C... more Mohamed Farah Lamsade, Paris Dauphine University Place du Mal de Lattre de Tassigny 75775 Paris Cedex 16, France farah@lamsade.dauphine.fr ... Daniel Vanderpooten Lamsade, Paris Dauphine University Place du Mal de Lattre de Tassigny 75775 Paris Cedex 16, France ...
Approche multicritère des problèmes de recherche documentaire
Radiometric indices based spectral-spatial method for hyperspectral image classification
BoVSG: Bag of Visual SubGraphs for Remote Sensing scene classification
A semi-automatic query reformulation approach based on a resolution of a set covering problem
Dominance-based rough set approach for personalized information retrieval
Evaluation of the Taxonomic Consistency of Ontologies based on WordNet Hierarchical and Lexical Relations
Hyperspectral Imagery Semantic Interpretation Based on Adaptive Constrained Band Selection and Knowledge Extraction Techniques
A similarity-based framework for the alignment of an ontology for remote sensing
Graph of Concepts for Semantic Annotation of Remotely Sensed Images based on Direct Neighbors in RAG
A feature selection-based method for remote sensing ontology alignment
A reduced set of similarity measures for concept mapping in the ontological enrichment process
Towards a quality-driven approach for satellite image ontology construction
Vers une ontologie riche dédiée à l'imagerie satellitaire par réutilisation de ressources existantes
A Multicriteria Framework for Locating and Retrieving Crucial Knowledge
A Multicriteria Paradigm of Relevance for the Web Information Retrieval Problem
A critical analysis of lifecycles and methods for ontology construction and evaluation
Towards a new ontology matching approach based on multi-criteria analysis methods
Graph of visual words for semantic annotation of remote sensing images
A symbiotic organisms search algorithm for feature selection in satellite image classification
Towards a hybrid approach for remote sensing ontology construction
Comparative study of dimensionality reduction methods for remote sensing images interpretation
Fuzzy hypergraph of concepts for semantic annotation of remotely sensed images
In this paper, we report our experiments in the mixed query task of the Web track for TREC 2004. ... more In this paper, we report our experiments in the mixed query task of the Web track for TREC 2004. We deal with the problem of ranking Web documents within a multicriteria framework and propose a novel approach for information retrieval. We focus on the design of a set of criteria aiming at capturing complementary aspects of relevance. Moreover, we provide aggregation procedures that are based on decision rules, to get the ranking of relevant documents.
L'Agr{\'{e}}gation en Recherche d'Information
Ordinal Regression Based Model for Personalized Information Retrieval
A Semi-automatic Mapping Selection in the Ontology Alignment Process
A critical analysis of lifecycles and methods for ontology construction and evaluation
Graph of visual words for semantic annotation of remote sensing images
Fuzzy hypergraph of concepts for semantic annotation of remotely sensed images
Proceedings of the Thirteenth Text REtrieval Conference, {TREC} 2004, Gaithersburg, Maryland, USA, November 16-19, 2004
String Processing and Information Retrieval, 13th International Conference, {SPIRE} 2006, Glasgow, UK, October 11-13, 2006, Proceedings
SIGIR} 2007: Proceedings of the 30th Annual International {ACM} {SIGIR} Conference on Research and Development in Information Retrieval, Amsterdam, The Netherlands, July 23-27, 2007
COnf{\'{e}}rence en Recherche d'Infomations et Applications - {CORIA} 2007, 4th French Information Retrieval Conference, Saint-{\'{E}}tienne, France, March 28-30, 2007. Proceedings
Advances in Information Retrieval Theory, Second International Conference on the Theory of Information Retrieval, {ICTIR} 2009, Cambridge, UK, September 10-12, 2009, Proceedings
KEOD} 2014 - Proceedings of the International Conference on Knowledge Engineering and Ontology Development, Rome, Italy, 21-24 October, 2014
2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), Sousse, Tunisia, March 17-19, 2014
2nd International Conference on Advanced Technologies for Signal and Image Processing, {ATSIP} 2016, Monastir, Tunisia, March 21-23, 2016
2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), Fez, Morocco, May 22-24, 2017
2018 {IEEE} International Geoscience and Remote Sensing Symposium, {IGARSS} 2018, Valencia, Spain, July 22-27, 2018
4th International Conference on Advanced Technologies for Signal and Image Processing, {ATSIP} 2018, Sousse, Tunisia, March 21-24, 2018
Handbook of Research on Geographic Information Systems Applications and Advancements
Approche cognitive pour une {\'e}tude prospective : Construction des sc{\'e}narios dans Garon'oc Impact
M{\'e}thodologie d'{\'e}valuation multicrit{\`e}re dans Garon'oc Impact