F Meziane

School of ComScience&Eng

University of Salford

Knowledge Engineering, Data intensive computing, software engineering, Natural Language Processing


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Latest Additions

  1. Alshehri, H and Meziane, F 2017, 'Current state on internet growth and usage in Saudi Arabia and its ability to support e-commerce development' , Journal of Advanced Management Science, 5 (2) , pp. 127-132.
  2. Sadek, J, Chakkour, F and Meziane, F 2012, 'Arabic rhetorical relations extraction for answering "Why" and "How to" questions' , in: Natural Language Processing and Information Systems , Lecture Notes in Computer Science, 7337 , Springer, pp. 385-390.
  3. Kasiran, MK, Ahmad, F and Meziane, F 2009, The implementation of third party endorsement as knowledge repository agent for creating trust in Malaysian's electronic banking industries , in: IEEE International Conference on Computing and Informatics, 6-8 June 2006, Kuala Lumpur, Malaysia.
  4. Elsebai, A and Meziane, F 2011, Extracting person names from Arabic newspapers , in: 7th International Conference on Innovations in Information Technology, 25-27 April 2008, Dubai, UAE.
  5. Hasan, A, Meziane, F, Aspin, R and Jalab, HA 2017, MRI brain scan classification using novel 3-D statistical features , in: The Second International Conference on Internet of Things, Data and Cloud Computing (ICC 2017), 22-23 March 2017, University of Cambridge, United Kingdom.
  6. Biemann, C, Handschuh, S, Freitas, A, Meziane, F and Metais, E, (eds.) 2015, Natural language processing and information systems : 20th international conference on applications of natural language to information systems, NLDB 2015, Passau, Germany, June 17-19, 2015, proceedings , Lecture Notes in Computer Science, 9103 , Springer.
  7. Pozo, M, Chiky, R, Meziane, F and Metais, E 2017, Enhancing new user cold-start based on decision trees active learning by using past warm-users predictions , in: 33ème conférence sur la Gestion de Données — Principes, Technologies et Applications, 14-17 November 2017, Nancy, France. (In Press)
  8. Pozo, M, Chiky,, R, Meziane, F and Metais, E 2017, 'Enhancing new user cold-start based on decision trees active learning by using past warm-users predictions' , in: ICCCI 2017 : Computational Collective Intelligence , Lecture Notes in Computer Science, 1 , Springer, pp. 137-147.
  9. Hasan, A, Meziane, F and Jalab, HA 2016, Performance of grey level statistic features versus Gabor wavelet for screening MRI brain tumors : a comparative study , in: 6th International Conference on Information Communication and Management, 29-31 October 2016, University of Hertfordshire, Hatfield, UK.
  10. AlSheikh, SS, Shaalan, S and Meziane, F 2017, Consumers’ trust and popularity of negative posts in social media : a case study on the integration between B2C and C2C business models , in: 4th International Conference on Behavioural, Economic, and Socio-Cultural Computing (BESC2017), 16-18 October 2017, Krakow, Poland. (In Press)