Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ahmad Al-Doulat"'
Autor:
Ahmad Al Doulat, Mary Lou Maher
Publikováno v:
EDULEARN Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9972c48ea712e22cfd875fc45bf2b1d
https://doi.org/10.21125/edulearn.2022.2450
https://doi.org/10.21125/edulearn.2022.2450
Autor:
Wenwen Dou, Mary Lou Maher, Nasheen Nur, Xi Niu, Ahmad Al-Doulat, Alireza Karduni, Aileen Benedict, Mohsen Dorodchi, Erfan Al-Hossami
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030522360
AIED (1)
AIED (1)
This paper presents an interactive AI system to enable academic advisors and program leadership to understand the patterns of behavior related to student success and risk using data collected from institutional databases. We have worked closely with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc0deb16b8bf5289ee3431ccae4547cf
https://doi.org/10.1007/978-3-030-52237-7_1
https://doi.org/10.1007/978-3-030-52237-7_1
Publikováno v:
AICCSA
A vast amount of unstructured text that contains valuable information is available over the web. This text is changing and proliferating, making it hard for people to process, read, and remember. Data mining and information extraction algorithms are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43d4c686f112c1e880df225992505604
https://doi.org/10.1109/aiccsa47632.2019.9035282
https://doi.org/10.1109/aiccsa47632.2019.9035282
Autor:
Ahmad Al-Doulat
Publikováno v:
AICCSA
The vast amount of online information today has increased the opportunity to discover interesting and useful information. Various recommender systems have been developed to help people discover such information. No matter how accurately the recommend
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8d665625acd778661affdee5ed00b10
https://doi.org/10.1109/aiccsa.2018.8612897
https://doi.org/10.1109/aiccsa.2018.8612897
Publikováno v:
ASONAM
The rapid growth of Web 2.0 and wide popularity of social media have brought the challenge of digesting and understanding large amounts of user-generated text. Automatically finding contradictions from user opinionated text is a potential solution to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c46ddd9d392f92b13a562f465f663b37
https://doi.org/10.1109/asonam.2018.8508308
https://doi.org/10.1109/asonam.2018.8508308