AUHMANI Khalid - Profil du chercheur

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Informations du chercheur

Nom complet

AUHMANI Khalid

Grade

PES

Spécialité

Génie électrique

Thématique de recherche

Traitement d'images, Traitement de signal, intelligence artificielle

Laboratoire

Laboratoire ingénierie des Systèmes et Applications

Établissement

Ecole Nationale des Sciences Appliquées de Marrakech

Ouvrages (1 au total)

Proceedings of the Ninth International Conference on Soft Computing and Pattern Recognition

Auteur: Sara Haddou Bouazza, Khalid Auhmani, Abdelouhab Zeroual, Nezha Hamdi,

Année: 2017

Éditeur: Springer, Cham

Projets (0 au total)

Aucun projet disponible.

Publications (10 au total)

Hospital 4.0 Maturity Assessment Model Development: Case of Moroccan Public Hospitals

Auteur: T. Benazzouz, K. Auhmani

Revue: Journal of Advanced Management Science

Année: 2023

DOI: 10.18178/joams.11.3.117-123

Digital maturity assessment model for pharmaceutical supply chain: a patient and hospital-centred development

Auteur: Touria Benazzouz, khalid Auhmani

Revue: International Journal of Healthcare Management

Année: 2023

DOI: 10.1080/20479700.2023.2177584

Selecting significant marker genes from microarray data by filter approach for cancer diagnosis

Auteur: 3. Sara Haddou Bouazza Khalid Auhmani Abdelouhab Zeroual Nezha Hamdi

Revue: Procedia Computer Science

Année: 2018

Application of the filter approach and the clustering algorithm on cancer datasets

Auteur: Sara Haddou Bouazza, Khalid Auhmani, Abdelouhab Zeroual

Revue: International journal of computer information systems and industrial management applications. ISSN 2150-7988

Année: 2018

New approaches for gene selection and cancer diagnosis based on microarray gene expression profiling

Auteur: Sara Haddou Bouazza, Khalid Auhmani, Abdelouhab Zeroual

Revue: Journal of Engineering Technology ISSN 0747-9964

Année: 2018

Prostate Cancer diagnosis based on Microarray gene expression profile

Auteur: Sara Haddou Bouazza, Khalid Auhmani, Abdelouhab Zeroual,

Revue: Journal of Engineering Technology ISSN 0747-9964

Année: 2018

Quantum Clustering-Based Feature subset Selection for breast cancer classification,

Auteur: NEZHA HAMDI, KHALID Auhmani, MOHA MRABET Hassani

Revue: International Journal of Computer Science & Information Technology (IJCSIT)

Année: 2015

Validation study of Dimensionality Reduction impact on breast cancer classification

Auteur: NEZHA HAMDI, KHALID Auhmani, MOHA MRABET Hassani

Revue: International Journal of Computer Science & Information Technology (IJCSIT)

Année: 2015

An Efficient Gentle AdaBoost-Based Approach for mammograms classification

Auteur: NEZHA HAMDI, KHALID Auhmani, MOHA MRABET Hassani

Revue: Journal of Theoretical and Applied Information Technology,

Année: 2015

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Communications (12 au total)

Comparative study of feature subset selection methods combined with different classifiers for microrray gene expression data analysis

Manifestation: Application to Leukemia classification, the first international conference of high innovation in computer science

Date: 2016-06-01

Organisation: KENITRA

Improving Classification accuracy throught Clustering-Based feature selection

Manifestation: The 2sd International Conference on Business Intelligence

Date: 2015-04-23

Organisation: BENI MELLAL

Gene-expression-based cancer classification through feature selection with KNN and SVM classifiers

Manifestation: Intelligent Systems and Computer Vision

Date: 2015-03-25

Organisation: FEZ

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Thèses (1 au total)

Contribution à l’amélioration des méthodes de sélection et de classification pour le diagnostic du cancer à base des puces à ADN

Auteur: SARA HADDOU BOUAZZA

Directeur: KHALID AUHMANI

Soutenance: 2019

Informations du chercheur

Nom complet

Grade

Spécialité

Thématique de recherche

Laboratoire

Établissement

Ouvrages (1 au total)

Proceedings of the Ninth International Conference on Soft Computing and Pattern Recognition

Projets (0 au total)

Publications (10 au total)

Hospital 4.0 Maturity Assessment Model Development: Case of Moroccan Public Hospitals

Digital maturity assessment model for pharmaceutical supply chain: a patient and hospital-centred development

Selecting significant marker genes from microarray data by filter approach for cancer diagnosis

Application of the filter approach and the clustering algorithm on cancer datasets

New approaches for gene selection and cancer diagnosis based on microarray gene expression profiling

Prostate Cancer diagnosis based on Microarray gene expression profile

Quantum Clustering-Based Feature subset Selection for breast cancer classification,

Validation study of Dimensionality Reduction impact on breast cancer classification

An Efficient Gentle AdaBoost-Based Approach for mammograms classification

Communications (12 au total)

Comparative study of feature subset selection methods combined with different classifiers for microrray gene expression data analysis

Improving Classification accuracy throught Clustering-Based feature selection

Gene-expression-based cancer classification through feature selection with KNN and SVM classifiers

Thèses (1 au total)

Contribution &agrave; l&rsquo;am&eacute;lioration des m&eacute;thodes de s&eacute;lection et de classification pour le diagnostic du cancer &agrave; base des puces &agrave; ADN

Contribution à l’amélioration des méthodes de sélection et de classification pour le diagnostic du cancer à base des puces à ADN