Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Youssouf EL Allioui"'
Publikováno v:
Advanced Intelligent Systems for Sustainable Development (AI2SD’2020) ISBN: 9783030906320
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1237e1ee3883d7f1fb9ca0564a63736
https://doi.org/10.1007/978-3-030-90633-7_64
https://doi.org/10.1007/978-3-030-90633-7_64
Publikováno v:
Procedia Computer Science. 148:87-96
The implementation of an efficient adaptive e-learning system requires the construction of an effective student model that represents the student’s characteristics, among those characteristics, there is the learning style that refers to the way in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83e764f235bb315165e79386d2bf03d2
https://doi.org/10.1016/j.procs.2019.01.012
https://doi.org/10.1016/j.procs.2019.01.012
This book features selected papers from the International Conference on Soft Computing for Security Applications (ICSCS 2023), held at Dhirajlal Gandhi College of Technology, Tamil Nadu, India, during April 21–22, 2023. It covers recent advances in
Autor:
Youssouf El Allioui, Ouafae El Aissaoui, Abdellah El Fazziki, Yasser El Madani El Alami, Mohammed Benbrahim
Publikováno v:
Embedded Systems and Artificial Intelligence ISBN: 9789811509469
Collaborative filtering (CF) has become an effective way to predict useful items. It is the most widespread recommendation technique. It relies on users who share similar tastes and preferences to suggest the items that they might be interested in. D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4dee3378c1a2d790aec949d1509f351c
https://doi.org/10.1007/978-981-15-0947-6_77
https://doi.org/10.1007/978-981-15-0947-6_77
Autor:
Ouafae El Aissaoui, Youssouf El Allioui, Abdellah El Fazziki, Mohammed Benbrahim, Yasser El Madani El Alami
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030366520
Collaborative filtering is a widely used recommendation approach that aims to predict for a target user the most appropriate items. This approach uses the ratings given by users who share similar tastes and preferences to predict ratings for items th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69fff9d498d80cc064f8a16198998441
https://doi.org/10.1007/978-3-030-36653-7_14
https://doi.org/10.1007/978-3-030-36653-7_14
Autor:
Ouafae El Aissaoui, Lahcen Oughdir, Yasser El Alami El Madani, Ahmed Dakkak, Youssouf El Allioui
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030366520
Predicting students’ academic outcome is useful for any educational institution that aims to ameliorate students’ performance. Based on the resulted predictions, educators can provide support to students at risk of failure. Data mining and machin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e0b5f947675330970924a8101f16180
https://doi.org/10.1007/978-3-030-36653-7_2
https://doi.org/10.1007/978-3-030-36653-7_2
Autor:
Ouafae El Aissaoui, Youssouf El Allioui, Ahmed Dakkak, Lahcen Oughdir, Yasser El Alami El Madani
Publikováno v:
Embedded Systems and Artificial Intelligence ISBN: 9789811509469
Educational data mining is a research field that aims to apply data mining techniques in educational environments. Many data mining techniques such as clustering, classification, and prediction can be performed on educational data in order to analyze
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::782c2f576ce7abe8cb186d06ee9d22ae
https://doi.org/10.1007/978-981-15-0947-6_62
https://doi.org/10.1007/978-981-15-0947-6_62
Publikováno v:
Education and Information Technologies. 24:1943-1959
Adaptive E-learning platforms provide personalized learning process relying mainly on learning styles. The traditional approach to find learning styles depends on asking learners to self-evaluate their own attitudes and behaviors through surveys and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61510bf9f48a7e420453141cb7e07fe1
https://doi.org/10.1007/s10639-018-9820-5
https://doi.org/10.1007/s10639-018-9820-5
This book features selected papers from the International Conference on Soft Computing for Security Applications (ICSCS 2021), held at Dhirajlal Gandhi College of Technology, Tamil Nadu, India, during June 2021. It covers recent advances in the field
Autor:
Ouafae El Aissaoui, Yasser El Madani El Alami, Mohammed Benbrahim, Abdellah El Fazziki, Youssouf El Allioui
Publikováno v:
2019 Third International Conference on Intelligent Computing in Data Sciences (ICDS).
Recommender systems aim to help users to find items that fit their requirements and preferences. In that field, the collaborative filtering (CF) approach is considered as a widely used one. There are two main approaches for CF: memory-based and model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::113a1261a9f85cafc3f66d76ed3a84a5
https://doi.org/10.1109/icds47004.2019.8942256
https://doi.org/10.1109/icds47004.2019.8942256