Dr. Anas Dahabiah

Erfahrungen

KD - IRS - ML - IPA - DIP - in the Arab International University - 2020

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PH. D in telecommunication and signal processing entitled “ Knowledge Discovery in Multimedia Databases and Characterization to Anticipate the Undesirable Probable Events” in TELECOM Bretagne in cooperation with the University of Rennes 1 (France). 2010

Veröffentlichung

International Journals and Transactions:
[1] DAHABIAH Anas, PUENTES John, SOLAIMAN Basel, Fusion of Possibilistic Sources of Evidences for Pattern Recognition, International Journal of Integrated Computer-Aided Engineering, IOS Press, April 2010, vol. 17, n° 2, pp. 117-130, ISSN: 1069-2509.
[2] DAHABIAH Anas, PUENTES John, SOLAIMAN Basel, Gastroenterology Dataset Clustering Using PossibilisticKohonen Maps, WSEAS Transactions on Information Science and Applications, April 2010, vol. 7, n° 4, pp. 508-521, ISSN 1790-0832.
[3] DAHABIAH Anas, PUENTES John, SOLAIMAN Basel, Towards a Possibilistic Processing of Missing Values Under Complex Conditions. WSEAS Transactions on Information Science and Applications, April 2010, vol. 7, n° 4, pp. 562-572, ISSN 1790-0832.
[4] DAHABIAH Anas, PUENTES John, SOLAIMAN Basel, Towards a Possibilistic Classification of Gastroenterology Patterns in a Complex Environment, WSEAS Transactions on Systems, March 2010, vol. 9, n° 3, pp. 305-316, ISSN 1109-2777.
International Conferences:
[5] DAHABIAH Anas, PUENTES John, SOLAIMAN Basel, Possibilistic Missing Data Estimation. Recent Advances in Artificial Intelligence, Knowledge Engineering and Data Base, Februrary 2010, Cambridge, UK, WSEAS Press, United Kingdom, pp. 173-178, ISBN 978-960-474-154-0.
[6] DAHABIAH Anas, PUENTES John, SOLAIMAN Basel, Possibilistic Kohonen Maps. Recent Advances in Artificial Intelligence, Knowledge Engineering and Data Base, Februrary 2010, Cambridge, UK, WSEAS Press, United Kingdom, pp. 179-184, ISBN 978-960-474-154-0.
[7] DAHABIAH Anas, SOLAIMAN Basel, PUENTES John, Information Imperfection Processing in Supervised Classification Systems, Recent Advances in Artificial Intelligence, Knowledge Engineering and Data Base, Februrary 2010, Cambridge, UK, WSEAS Press, United Kingdom, pp. 215-220, ISBN 978-960-474-154-0.
2009
International Journals and Transactions:
[8] DAHABIAH Anas, PUENTES John, SOLAIMAN Basel, Possibilistic Pattern Recognition in a Digestive Database for Mining Imperfect Data. WSEAS Transactions on Systems, 2009, vol. 8, n° 2, pp. 229-240, ISSN 1109-2777.
[9] DAHABIAH Anas, PUENTES John, SOLAIMAN Basel, Possibilistic Similarity Estimation and Visualization. Advances in Information Retrieval Theory, Lecture Notes in Computer Science, Springer Berlin / Heidelberg, September 2009, vol. 5766, pp. 273-280, ISBN 978-3-642-04416-8
[10] DAHABIAH Anas, PUENTES John, SOLAIMAN Basel, Imperfect Pattern Recognition Using the Fuzzy Measure Theory. Intelligent Data Engineering and Automated Learning, Lecture Notes in Computer Science, Springer Berlin / Heidelberg, 2009, vol. 5788, pp. 101-108, ISBN 978-3-642-04393-2.
International Conferences:
[11] DAHABIAH Anas, PUENTES John, SOLAIMAN Basel, Possibilistic Ordination-Based Analysis of an Imperfect Database, 7th IEEE/ACS International Conference on Computer Systems and Applications, May 2009, Rabat, Morocco, pp. 199-204, ISBN 978-1-4244-3806-8.
[12] DAHABIAH Anas, PUENTES John, SOLAIMAN Basel, Possibilistic Evidential Clustering. Recent Advances in Artificial Intelligence, Knowledge Engineering and Data Base, Februrary 2009, Cambridge, UK, WSEAS Press, United Kingdom, pp. 212-217, ISBN 978-960-474-051-2.
[13] DAHABIAH Anas, PUENTES John, SOLAIMAN Basel, Digestive Casebase Mining Based on Possibility Theory and Linear Unidimensional Scaling, Recent Advances in Artificial Intelligence, Knowledge Engineering and Data Base, Februrary 2009, Cambridge, United Kingdom, WSEAS Press, pp. 218-223, ISBN 978-960-474-051-2.
2008
International Journals and Transactions:
[14] DAHABIAH Anas, PUENTES John, SOLAIMAN Basel, Digestive database evidential clustering based on possibility theory, WSEAS transactions on biology and biomedicine, September 2008, vol. 5, n° 9, pp. 239-248, ISSN 1109-9518.
2007
International Conference:
[15] DAHABIAH Anas, PUENTES John, SOLAIMAN Basel, Venous Thrombosis Supervised Image Indexing and Fuzzy Retrieval, EMBS 2007, 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, August 22-26, Lyon, France, 2007, pp. 4528-4531.
2006
International Conference:
[16] DAHABIAH Anas, PUENTES John, SOLAIMAN Basel, Comparative Neural Network Based Venous Thrombosis Echogenicity and Echostructure Characterization Using Ultrasound Images, 2nd IEEE ICTTA, Information and Communication Technologies from Theory to Applications, 2006.
Details:
 Article [1] is the extended paper of the article [10] chosen as the best paper of the international conference of Intelligent Data Engineering and Automated Learning (IDEAL 2009). From 200 articles submitted to the conference, only 7 papers including this paper have been selected and published. For more information see: http://iospress.metapress.com/content/ghw1566hp21j8158/fulltext.pdf, and http://iospress.metapress.com/content/vh201025n6j6/?p=09e0d51b1a3c423aa493142646663894&pi=0.
 Article [1] is indexed in CPX, Current Contents/Engineering, Computing and Technology, EBSCO database, Inspec, Journal Citation Reports/Science Edition, Science Citation Index-Expanded (SciSearch®), Scopus, io-port.
 All the article from 2 to 8 and from 12 to 14 are indexed in: ISI / SCI (Web of Science), NSPEC (IEE), ACM (Association for Computing Machinery), CSA (Cambridge Scientific Abstracts), ELSEVIER, ZENTRALBLATT, ULRICH, MATHSCINET of AMS (American Mathematical Society), Directory of Published Proceedings, Computer Science Bibliography Administrator, European Library in Paris (France), DEST Database (Australia), SCOPUS, EBSCO, EMBASE, Compendex (CPX), GEOBASE, BIOBASE, BIOTECHNOBASE, FLUIDEX , BEILSTEIN (Via the ScienceDirect Navigator that comprises ten Elsevier Direct databases), MEDLINE, British Library, German National Library of Science and Technology, and IARAS. For more information, see http://www.wseas.us/indexes/.
 Articles [2], [3] and [4] are extended papers of [5], [6], and [7] respectively, chosen as best papers in the International Conference on
Artificial Intelligence, Knowledge Engineering and Databases 2010 held in Cambridge University.
 Article [8] is an extended paper of [13], chosen in the International Conference on
Artificial Intelligence, Knowledge Engineering and Databases 2009 held in Cambridge University.

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