58 research outputs found

    Parameter Identification for Laplace Equation and Approximation in Hardy Classes

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    We consider the inverse problem of identifying a Robin coefficient on some part of the boundary of a smooth 2D domain from overdetermined data available on the other part of the boundary, for Laplace equation in the domain. Using tools from complex analysis and analytic functions theory, we provide a constructive and convergent identification scheme for this inverse problem, together with numerical experiments

    A new corpus for the evaluation of arabic intrinsic plagiarism detection

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    The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-40802-1_6The present paper introduces the first corpus for the evaluation of Arabic intrinsic plagiarism detection. The corpus consists of 1024 artificial suspicious documents in which 2833 plagiarism cases have been inserted automatically from source documentsThis work is the result of the collaboration in the framework of the bilateral research project AECID-PCI AP/043848/11 (Application of Natural Language Processing to the Need of the University) between the Universitat Politècnica de València in Spain and Constantine 2 University in AlgeriaBensalem, I.; Rosso, P.; Chikhi, S. (2013). A new corpus for the evaluation of arabic intrinsic plagiarism detection. En Information Access Evaluation. Multilinguality, Multimodality, and Visualization. Springer Verlag (Germany). 53-58. https://doi.org/10.1007/978-3-642-40802-1_6S5358Springer Policy on Publishing Integrity. Guidelines for Journal EditorsPotthast, M., Stein, B., Eiselt, A., Barrón-Cedeño, A., Rosso, P.: Overview of the 1st International Competition on Plagiarism Detection. In: Stein, B., Rosso, P., Stamatatos, E., Koppel, M., Agirre, E. (eds.) SEPLN 2009 Workshop on Uncovering Plagiarism, Authorship, and Social Software Misuse (PAN 2009), pp. 1–9 (2009)Potthast, M., Stein, B., Barrón-Cedeño, A., Rosso, P.: An Evaluation Framework for Plagiarism Detection. In: Huang, C.-R., Jurafsky, D. (eds.) Proceedings of the 23rd International Conference on Computational Linguistics (COLING 2010), pp. 997–1005. ACL (2010)Potthast, M., Barrón-cedeño, A., Eiselt, A., Stein, B., Rosso, P.: Overview of the 2nd International Competition on Plagiarism Detection. In: Braschler, M., Harman, D. (eds.) Notebook Papers of CLEF 2010 LABs and Workshops (2010)Potthast, M., Eiselt, A., Barrón-Cedeño, A., Stein, B., Rosso, P.: Overview of the 3rd International Competition on Plagiarism Detection. In: Petras, V., Forner, P., Clough, P. (eds.) Notebook Papers of CLEF 2011 LABs and Workshops (2011)Potthast, M., Gollub, T., Hagen, M., Graßegger, J., Kiesel, J., Michel, M., Oberländer, A., Tippmann, M., Barrón-Cedeño, A., Gupta, P., Rosso, P., Stein, B.: Overview of the 4th International Competition on Plagiarism Detection. In: Forner, P., Karlgren, J., Womser-Hacker, C. (eds.) CLEF 2012 Evaluation Labs and Workshop –Working Notes Papers (2012)Juola, P.: An Overview of the Traditional Authorship Attribution Subtask Notebook for PAN at CLEF 2012. In: Forner, P., Karlgren, J., and Womser-Hacker, C. (eds.) CLEF 2012 Evaluation Labs and Workshop –Working Notes Papers (2012)Yakout, M.M.: Examples of Plagiarism in Scientific and Cultural Communities (in Arabic), http://www.yaqout.net/ba7s_4.htmlAbbasi, A., Chen, H.: Applying Authorship Analysis to Arabic Web Content. In: Kantor, P., Muresan, G., Roberts, F., Zeng, D.D., Wang, F.-Y., Chen, H., Merkle, R.C. (eds.) ISI 2005. LNCS, vol. 3495, pp. 183–197. Springer, Heidelberg (2005)Shaker, K., Corne, D.: Authorship Attribution in Arabic using a hybrid of evolutionary search and linear discriminant analysis. In: 2010 UK Workshop on Computational Intelligence (UKCI), pp. 1–6. IEEE (2010)Ouamour, S., Sayoud, H.: Authorship attribution of ancient texts written by ten arabic travelers using a SMO-SVM classifier. In: 2012 International Conference on Communications and Information Technology (ICCIT), pp. 44–47. IEEE (2012)Bensalem, I., Rosso, P., Chikhi, S.: Intrinsic Plagiarism Detection in Arabic Text: Preliminary Experiments. In: Berlanga, R., Rosso, P. (eds.) 2nd Spanish Conference on Information Retrieval (CERI 2012), Valencia (2012)Jadalla, A., Elnagar, A.: A Plagiarism Detection System for Arabic Text-Based Documents. In: Chau, M., Wang, G.A., Yue, W.T., Chen, H. (eds.) PAISI 2012. LNCS, vol. 7299, pp. 145–153. Springer, Heidelberg (2012)Alzahrani, S., Salim, N.: Statement-Based Fuzzy-Set Information Retrieval versus Fingerprints Matching for Plagiarism Detection in Arabic Documents. In: 5th Postgraduate Annual Research Seminar (PARS 2009), Johor Bahru, Malaysia, pp. 267–268 (2009)Menai, M.E.B.: Detection of Plagiarism in Arabic Documents. International Journal of Information Technology and Computer Science 10, 80–89 (2012)Jaoua, M., Jaoua, F.K., Hadrich Belguith, L., Ben Hamadou, A.: Automatic Detection of Plagiarism in Arabic Documents Based on Lexical Chains. Arab Computer Society Journal 4, 1–11 (2011) (in Arabic)Potthast, M., Hagen, M., Völske, M., Stein, B.: Crowdsourcing Interaction Logs to Understand Text Reuse from the Web. In: 51st Annual Meeting of the Association of Computational Linguistics (ACL 2013). ACM (to appear, 2013)Stein, B., Lipka, N., Prettenhofer, P.: Intrinsic plagiarism analysis. Language Resources and Evaluation 45, 63–82 (2010)Bensalem, I., Rosso, P., Chikhi, S.: Building Arabic Corpora from Wikisource. In: 10th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA 2013). IEEE (2013

    Conceptual data sampling for breast cancer histology image classification

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    Data analytics have become increasingly complicated as the amount of data has increased. One technique that is used to enable data analytics in large datasets is data sampling, in which a portion of the data is selected to preserve the data characteristics for use in data analytics. In this paper, we introduce a novel data sampling technique that is rooted in formal concept analysis theory. This technique is used to create samples reliant on the data distribution across a set of binary patterns. The proposed sampling technique is applied in classifying the regions of breast cancer histology images as malignant or benign. The performance of our method is compared to other classical sampling methods. The results indicate that our method is efficient and generates an illustrative sample of small size. It is also competing with other sampling methods in terms of sample size and sample quality represented in classification accuracy and F1 measure

    Elastyczność łańcucha dostaw i Zrównoważona Karta Wyników : model koncepcyjny i studium empiryczne w przedsiębiorstwach tunezyjskich : uruchomienie programu aktualizacji

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    In this article, we clarify the concept of supply chain flexibility (SCF) in an attempt to unveil the difficulty in understanding and dealing with the scope this concept. The imprecise notion of SCF makes it difficult to develop valid and reliable measures which are needed to construct and test a theory involving supply chain flexibility. This paper sheds light on literature relating to the impact of SCF on business performance. A conceptual framework is presented to uncover the effects of different dimensions of SCF (human resources, product, process, information technology and logistics) on the global performance. Valid and reliable measures are developed for each dimension of SCF and global performance and hypotheses are tested using structural equation modeling. From a large sample survey (n= 105) of manufacturing firms launched upgrading program, results indicate a partial impact of supply chain flexibility on the global performance. Three dimensions (human resources flexibility, Logistics flexibility and Information Technology flexibility) have positive and strong relationships on global performance. But, Product flexibility and Process flexibility were not present in Tunisian firms.W artykule tym wyjaśniamy koncepcję elastycznego łańcucha dostaw (FCM), starając się odsłonić trudności związane z pojmowaniem tej koncepcji. Nieprecyzyjne pojęcie elastycznego łańcucha dostaw utrudnia rozwój aktualnych i wiarygodnych środków, które są potrzebne do budowy i testowania teorii z uwzględnieniem elastycznego łańcucha dostaw. Artykuł ten rzuca światło na literaturę dotyczącą wpływu elastycznego łańcucha dostaw na wydajność biznesową. Prezentowana rama koncepcyjna ma za zadanie odkrycie skutków jakie niosą za sobą różne wymiary elastycznego łańcucha dostaw (zasoby ludzkie, produkty, procesy, technologie informacyjne i logistyka) w wymiarze globalnym. Dla każdego wymiaru elastycznego łańcucha dostaw i jego wymiaru globalnego, opracowane zostały prawidłowe i niezawodne środki, a hipotezy zostały przetestowane przy użyciu strukturalnego modelowania równań. Z dużego badania reprezentacyjnego (n=105) zakładów produkcyjnych, uruchomiono program aktualizujący, a wyniki wskazują na częściowy wpływ elastyczności łańcucha dostaw na wydajność w skali globalnej. Trzy wymiary (elastyczność zasobów ludzkich, elastyczność logistyki i elastyczność technologii informacyjnej) mają pozytywne i silne relacje związane z wydajnością w skali globalnej. Jednakże elastyczność produkcyjna i elastyczność procesowa nie były obecne w firmach tunezyjskich
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