Current State
Phd student in the National School of Engineering of Sfax-Tunisia
Education
M.S. degree (DEA) in Computer Science from the National School of Engineering of Sfax-Tunisia, in 2010.
Gratuated in computer science from the Higher Institute of computering and Mathematics, Monastir, Tunisia, in 2008.
Publications
International Journals Articles
[1] A. Kharrat, K. Gasmi,, M. Ben Messaoud, N. Benamrane, M. Abid: Medical Image Classification Using an Optimal Feature Extraction Algorithm and a Supervised Classifier Technique. IJSSCI 3(2): 19-33 (2011) [ BibTeX |DOI ]
[2] A. Kharrat, K. Gasmi, M. Ben Messaoud et al. (2010) A Hybrid approach for automatic classification of brain MRI using genetic algorithm and support vector machine, 71-82. In Leonardo Journal of Sciences (LJS) 9 (17). [ DOI ]
Papers in Proceedings of International Conference[1] K. GASMI, M. Torjmen Khemakhem, L. Tamine and M. Ben Jemaa. Graph-based methods for Significant Concept Selection. International Conference on Knowledge-Based and Intelligent Information and Engineering Systems [ DOI ]
[2] K. GASMI, M. Torjmen Khemakhem, L. Tamine and M. Ben Jemaa. A New Combination Method Based on Adaptive Genetic Algorithm for Medical Image Retrieval. In Asia Information Retrieval Societies Conference AIRS, 2014 [ DOI ]
[3] K. GASMI, M. Torjmen Khemakhem, and M. Ben Jemaa. A Conceptual Model for Word Sense Disambiguation in Medical Image Retrieval. In Asia Information Retrieval Societies Conference AIRS, 2013 [ DOI ]
[4] K. GASMI, M. Torjmen Khemakhem, and M. Ben Jemaa. Word Indexing Versus Conceptual Indexing in Medical Image Retrieval. In Cross Language Evaluation Forum, CLEF (Online Working Notes/Labs/Workshop), 2012 [ BibTeX ]
[5] K. GASMI, A. Kharrat, M. Ben Messaoud, M. Abid: Automated Segmentation of Brain Tumor Using Optimal Texture Features and Support Vector Machine Classifier. ICIAR (2) 2012: 230-239 [ BibTeX |DOI ]
[6] A. Kharrat, K. Gasmi, M. Ben Messaoud, N. Benamrane, M. Abid: Automated classification of magnetic resonance brain images using Wavelet Genetic Algorithm and Support Vector Machine. IEEE ICCI 2010: 369-374 [ BibTeX |DOI ]