Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Mohammed Amine Chikh"'
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 4, Iss 1, Pp 46-51 (2016)
This work is builds on the study of the 10 top data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) community in December 2006. We address the same study, but with the application of statistical tests to establ
Externí odkaz:
https://doaj.org/article/3ee149524ac3434497aa9996303f287b
Autor:
Boudjemaa Boudaa, Slimane Hammoudi, Abdelkader Bouguessa, Leila Amel Mebarki, Mohammed Amine Chikh
Publikováno v:
EAI Endorsed Transactions on Context-aware Systems and Applications, Vol 2, Iss 3, Pp 1-9 (2015)
The modern human is getting more and more mobile having access to online services by using mobile cutting-edge computational devices. In the last decade, the field of context-aware services had led to emerge several works. However, most of the propos
Externí odkaz:
https://doaj.org/article/4cd264ab7a5d4c6da83b5cc28d7d9347
Autor:
Mohammed Amine Chikh, Nesma Settouti, Mohammed El Amine Bechar, Mostafa El Habib Daho, Amina Boublenza
Publikováno v:
International Journal of Intelligent Computing and Cybernetics. 14:251-268
PurposeEnsemble methods have been widely used in the field of pattern recognition due to the difficulty of finding a single classifier that performs well on a wide variety of problems. Despite the effectiveness of these techniques, studies have shown
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf733513fee3fd127169ee2ae8d627f9
https://doi.org/10.1108/ijicc-10-2020-0147
https://doi.org/10.1108/ijicc-10-2020-0147
Autor:
Nesma Settouti, Mohammed El Amine Bechar, Meryem Saidi, Mohammed Amine Chikh, Mostafa El Habib Daho
Publikováno v:
Pattern Analysis and Applications. 23:1709-1726
Instance and variable selection involve identifying a subset of instances and variables such that the learning process will use only this subset with better performances and lower cost. Due to the huge amount of data available in many fields, data re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a94c710a3137be6da078187e73869330
https://doi.org/10.1007/s10044-020-00873-w
https://doi.org/10.1007/s10044-020-00873-w
Publikováno v:
Pattern Analysis and Applications. 23:897-911
Bayesian networks (BNs) are one of the most commonly used models for representing uncertainty in medical diagnosis. Learning the exact structure of a BN is a challenging problem. This paper proposes a multi-threaded branch-and-bound (BB on the other
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::334da61d3d6300f7c2553752366a5edf
https://doi.org/10.1007/s10044-019-00815-1
https://doi.org/10.1007/s10044-019-00815-1
Publikováno v:
Advances in Computing Systems and Applications ISBN: 9783030694173
CSA
CSA
In neurology, the Electroencephalogram (EEG) remains one of the most effective tools for the diagnosis and the management of patients suffering from epileptic seizures. The aim of our work is the automatic detection of this disease from the EEG signa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::794f6809e8cb6ed84bd51b6c5b894c66
https://doi.org/10.1007/978-3-030-69418-0_27
https://doi.org/10.1007/978-3-030-69418-0_27
Publikováno v:
Proceedings of the 1st International Conference on Intelligent Systems and Pattern Recognition.
Deep learning techniques are widely used to design robust classification models in several arias such as medical diagnosis tasks in which it achieves good performance. In recent years Pneumonia causes 15% of the total number of deaths in children und
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::173b615eba80029ae83ec9aa69294f02
https://doi.org/10.1145/3432867.3432873
https://doi.org/10.1145/3432867.3432873
Autor:
Mostafa El Habib Daho, Mohammed Amine Chikh, Amin Khouani, Brahim Benzineb, Sidi Ahmed Mahmoudi
Publikováno v:
Biomed Eng Lett
The detection, counting, and precise segmentation of white blood cells in cytological images are vital steps in the effective diagnosis of several cancers. This paper introduces an efficient method for automatic recognition of white blood cells in pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7ff06d18f4d23e9cbb8d3f2c41d3377
https://pubmed.ncbi.nlm.nih.gov/32850177
https://pubmed.ncbi.nlm.nih.gov/32850177
Publikováno v:
International Journal of Medical Engineering and Informatics. 1:1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4e951ac2cc56c751094115818b63387
https://doi.org/10.1504/ijmei.2022.10046878
https://doi.org/10.1504/ijmei.2022.10046878
Publikováno v:
Journal of Experimental & Theoretical Artificial Intelligence. 30:457-478
The main limit of data mining algorithms is their inability to deal with the huge amount of available data in a reasonable processing time. A solution of producing fast and accurate results is inst...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aabb465ac99a9a7078084bb795c20168
https://doi.org/10.1080/0952813x.2017.1409283
https://doi.org/10.1080/0952813x.2017.1409283