Papers by Mohamed Kholladi
In this paper, we propose a new approach of plant classification based on leaves recognition. The... more In this paper, we propose a new approach of plant classification based on leaves recognition. The approach uses the dendritic cell algorithm, from the danger theory, as a classifier and the wavelet transform as a features space. The dendritic cell algorithm is a new immune inspired paradigm. It has demonstrates a potential proprieties as a classifier. As for the wavelet
Communications in Computer and Information Science, 2011
Leaves recognition plays an important role in plant classification. Its key issue lies in whether... more Leaves recognition plays an important role in plant classification. Its key issue lies in whether selected features are stable and have good ability to discriminate different kinds of leaves. In this paper, we propose a novel method of plant classification from leaf image set based on artificial immune system (AIS) and wavelet transforms. AISs are a type of intelligent algorithm; they emulate the human defense mechanism and they use its principles, which give them the power to be applied as a classifier. In addition, the wavelet transform offers fascinating features for texture classification. Experimental results show that using artificial immune system and wavelet transform to recognize leaf plant image is possible, and the accuracy of recognition is encouraging.
This work falls in the areas of information retrieval and semantic web, and aims to improve the e... more This work falls in the areas of information retrieval and semantic web, and aims to improve the evaluation of web search tools. Indeed, the huge number of information on the web as well as the growth of new inexperienced users creates new challenges for information retrieval; certainly the current search engines (such as Google, Bing and Yahoo) offer an efficient way to browse the web content. However, this type of tool does not take into account the semantic driven by the query terms and document words. This paper proposes a new semantic based approach for the evaluation of information retrieval systems; the goal is to increase the selectivity of search tools and to improve how these tools are evaluated. The test of the proposed approach for the evaluation of search engines has proved its applicability to real search tools. The results showed that semantic evaluation is a promising way to improve the performance and behavior of search engines as well as the relevance of the results that they return.
In the context of improving the information retrieval on the web, we propose in this paper an ori... more In the context of improving the information retrieval on the web, we propose in this paper an original approach based on geometric queries, whose goal is to reduce the problem of the non-selection of relevant documents, this issue is known as silence problem. This approach is based on the transformation of user query into geometric shapes and exploitation of a set of previously executed queries (with relevant responses) to find the closest to the initial query by using a similarity measure. We will focus on the need to involve domain ontology in the construction of geometric queries. Finally this paper describes the implementation performed and draws the first conclusions on various perspectives of this approach.
Limitations and shortcomings of traditional approaches for evaluating information retrieval tools... more Limitations and shortcomings of traditional approaches for evaluating information retrieval tools, particularly regarding to the consideration of the user, the manner in which these approaches measure the adequacy between the user’s query and the documents returned, and the characteristics consideration of the search tool itself, have motivated our reflections for the exploitation of contextual elements around the user, the query and the search tool during the evaluation process. This paper presents a new approach based on three complementary levels of context for evaluating information retrieval systems. The experiments gives at the end of this article has shown the applicability of the proposed approach to real research tools. The tests were performed with the most popular searching engine (i.e. Google, Bing and Yahoo) selected in particular for their high selectivity. The results have revealed that the evaluation of search engines at three different levels of context is a promisi...
The crucial role of the evaluation in the development of the information retrieval tools is usefu... more The crucial role of the evaluation in the development of the information retrieval tools is useful evidence to improve the performance of these tools and the quality of results that they return. However, the classic evaluation approaches have limitations and shortcomings especially regarding to the user consideration, the measure of the adequacy between the query and the returned documents and the consideration of characteristics, specifications and behaviors of the search tool. Therefore, we believe that the exploitation of contextual elements could be a very good way to evaluate the search tools. So, this paper presents a new approach that takes into account the context during the evaluation process at three complementary levels. The experiments gives at the end of this article has shown the applicability of the proposed approach to real research tools.
Lecture Notes in Computer Science, 2011
Artificial Immune Systems (AIS) are a type of intelligent algorithm inspired by the principles an... more Artificial Immune Systems (AIS) are a type of intelligent algorithm inspired by the principles and processes of the human immune system. Despite the successful implementation of different AIS, the validity of the paradigm "self non self" have lifted many questions. The Danger theory was an alternative to this paradigm. If we involve its principles, the AIS are being applied as a classifier. However, image classification offers new prospects and challenges to data mining and knowledge extraction. It is an important tool and a descriptive task seeking to identify homogeneous groups of objects based on the values of their attributes. In this paper, we describe our initial framework in which the danger theory was apprehended by the Dendritic cells algorithm is applied to vegetal image classification. The approach classifies pixel in vegetal or soil class. Experimental results are very encouraging and show the feasibility and effectiveness of the proposed approach.
Advances in Intelligent and Soft Computing, 2011
The crucial role of the evaluation in the development of the information retrieval tools is usefu... more The crucial role of the evaluation in the development of the information retrieval tools is useful evidence to improve the performance of these tools and the quality of results that they return. However, the classic evaluation approaches have limitations and shortcomings especially regarding to the user consideration, the measure of the adequacy between the query and the returned documents and the consideration of characteristics, specifications and behaviors of the search tool. Therefore, we believe that the exploitation of contextual elements could be a very good way to evaluate the search tools. So, this paper presents a new approach that takes into account the context during the evaluation process at three complementary levels. The experiments gives at the end of this article has shown the applicability of the proposed approach to real research tools.
2012 International Conference on Multimedia Computing and Systems, 2012
This work falls in the areas of information retrieval and semantic web, and aims to improve the e... more This work falls in the areas of information retrieval and semantic web, and aims to improve the evaluation of web search tools. Indeed, the huge number of information on the web as well as the growth of new inexperienced users creates new challenges for information retrieval; certainly the current search engines (such as Google, Bing and Yahoo) offer an efficient way to browse the web content. However, this type of tool does not take into account the semantic driven by the query terms and document words. This paper proposes a new semantic based approach for the evaluation of information retrieval systems; the goal is to increase the selectivity of search tools and to improve how these tools are evaluated. The test of the proposed approach for the evaluation of search engines has proved its applicability to real search tools. The results showed that semantic evaluation is a promising way to improve the performance and behavior of search engines as well as the relevance of the results that they return.
Problem Statement: The huge number of information on the web as well as the growth of new inexper... more Problem Statement: The huge number of information on the web as well as the growth of new inexperienced users creates new challenges for information retrieval. It has become increasingly difficult for these users to find relevant documents that satisfy their individual needs. Certainly the current search engines (such as Google, Bing and Yahoo) offer an efficient way to browse the
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Papers by Mohamed Kholladi