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2020 – today
- 2023
[c10]Imane Bouslihim, Walid Cherif, Mohamed Kissi:
Application of a hybrid EfficientNet-SVM model to medical image classification. SITA 2023: 1-6- 2022
- [j6]Walid Cherif
, Abdellah Madani, Mohamed Kissi:
Supervised classification by thresholds: Application to automated text categorization and opinion mining. Concurr. Comput. Pract. Exp. 34(4) (2022) - [j5]Stéphane Cédric Koumétio Tékouabou, El Arbi Abdellaoui Alaoui, Imane Chabbar, Hamza Toulni, Walid Cherif, Hassan Silkan:
Optimizing the early glaucoma detection from visual fields by combining preprocessing techniques and ensemble classifier with selection strategies. Expert Syst. Appl. 189: 115975 (2022) - [j4]Stéphane C. K. Tékouabou, Walid Cherif, Hamza Toulni, Elarbi A. Abdelaoui, Hassan Silkan:
Using Class Membership based Approach to Improve Predictive Classification in Customer Relationship Management Systems. Int. J. Comput. 21(2): 242-250 (2022) - [j3]Stéphane Cédric Koumétio Tékouabou, El Arbi Abdellaoui Alaoui, Walid Cherif, Hassan Silkan:
Improving parking availability prediction in smart cities with IoT and ensemble-based model. J. King Saud Univ. Comput. Inf. Sci. 34(3): 687-697 (2022) - 2021
- [j2]Walid Cherif, Abdellah Madani, Mohamed Kissi:
Text categorization based on a new classification by thresholds. Prog. Artif. Intell. 10(4): 433-447 (2021) - 2020
- [c9]Stéphane Cédric Koumétio Tékouabou, El Arbi Abdellaoui Alaoui, Imane Chabbar, Walid Cherif, Hassan Silkan:
Machine Learning Aprroach for Early Detection of Glaucoma from Visual Fields. NISS 2020: 39:1-39:5 - [c8]Houda Benkerroum, Walid Cherif, Mohamed Kissi:
Optimization of LSTM Algorithm Through Outliers - Application to Financial Time Series Forecasting. SADASC 2020: 209-220
2010 – 2019
- 2019
- [j1]Hamid Khalifi, Walid Cherif, Abderrahim El Qadi, Youssef Ghanou:
Query expansion based on clustering and personalized information retrieval. Prog. Artif. Intell. 8(2): 241-251 (2019) - [c7]Amine Sennouni, Walid Cherif:
Adaptive user-product recommendation system using supervised and unsupervised classification models. BDIoT 2019 - [c6]Stéphane Cédric Koumétio Tékouabou, Walid Cherif, Hassan Silkan:
A data modeling approach for classification problems: application to bank telemarketing prediction. NISS 2019: 56:1-56:7 - 2018
- [c5]Mohammed Al-Sarem, Walid Cherif, Ahmed Abdel Wahab, Abdel-Hamid M. Emara, Mohamed Kissi:
Combination of Stylo-based Features and Frequency-based Features for Identifying the Author of Short Arabic Text. SITA 2018: 1:1-1:6 - [c4]Stéphane Cédric Koumétio Tékouabou, Walid Cherif, Hassan Silkan:
Optimizing the prediction of telemarketing target calls by a classification technique. WINCOM 2018: 1-6 - 2016
- [c3]Walid Cherif, Abdellah Madani, Mohamed Kissi:
A combination of low-level light stemming and support vector machines for the classification of Arabic opinions. SITA 2016: 1-5 - 2014
- [c2]Walid Cherif, Abdellah Madani, Mohamed Kissi:
Integrating effective rules to improve arabic text stemming. ICMCS 2014: 1077-1081 - [c1]Walid Cherif, Abdellah Madani, Mohamed Kissi:
Building a syntactic rules-based stemmer to improve search effectiveness for arabic language. SITA 2014: 1-6
Coauthor Index
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