Mohamed Farah - Academia.edu (original) (raw)

Uploads

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.

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.

2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS)

IEEE Geoscience and Remote Sensing Letters

Handbook of Research on Geographic Information Systems Applications and Advancements, 2000

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 ...

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.

International Journal of Information and Decision Sciences

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.

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

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.

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

articles 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.

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.

2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS)

IEEE Geoscience and Remote Sensing Letters

Handbook of Research on Geographic Information Systems Applications and Advancements, 2000

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 ...

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.

International Journal of Information and Decision Sciences

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.

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

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.

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 ...

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.