A systematic literature review of student'performance prediction using machine learning techniques

B Albreiki, N Zaki, H Alashwal - Education Sciences, 2021 - mdpi.com
Educational Data Mining plays a critical role in advancing the learning environment by
contributing state-of-the-art methods, techniques, and applications. The recent development …

A rule-based approach to embedding techniques for text document classification

AM Aubaid, A Mishra - Applied Sciences, 2020 - mdpi.com
With the growth of online information and sudden expansion in the number of electronic
documents provided on websites and in electronic libraries, there is difficulty in categorizing …

Time expression recognition and normalization: a survey

X Zhong, E Cambria - Artificial Intelligence Review, 2023 - Springer
Time information plays an important role in the areas of data mining, information retrieval,
and natural language processing. Among the linguistic tasks related to time expressions …

Semisupervised Federated Learning for Temporal News Hyperpatism Detection

U Ahmed, JCW Lin, G Srivastava - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The proliferation of false and erroneous information on the Internet has posed a challenge to
the accurate exchange of information. To address this issue, a semisupervised system …

Temporal positional lexicon expansion for federated learning based on hyperpatism detection

U Ahmed, JCW Lin, G Srivastava - Expert Systems, 2023 - Wiley Online Library
Internet‐based information exchange has resulted in the propagation of false and
misleading information, which is highly detrimental to individuals and humankind. Due to the …

Semi-supervised lexicon-aware embedding for news article time estimation

U Ahmed, JCW Lin, G Srivastava, U Yun - ACM Transactions on Asian …, 2023 - dl.acm.org
In the information retrieval community, Temporal Information Retrieval (TIR) has become
increasingly popular. Documents focused on the time surrounding their publication are more …

A Chinese few-shot text classification method utilizing improved prompt learning and unlabeled data

T Hu, Z Chen, J Ge, Z Yang, J Xu - Applied Sciences, 2023 - mdpi.com
Insufficiently labeled samples and low-generalization performance have become significant
natural language processing problems, drawing significant concern for few-shot text …

Section-based focus time estimation of news articles

SUR Khan, MA Islam, M Aleem, MA Iqbal… - IEEE Access, 2018 - ieeexplore.ieee.org
Information retrieval systems embed temporal information for retrieving the news documents
related to temporal queries. One of the important aspects of a news document is the focus …

The influence of different stylometric features on the classification of prose by centuries

K Lagutina, N Lagutina, E Boychuk… - 2020 27th Conference …, 2020 - ieeexplore.ieee.org
In this paper the authors compare by classification quality different types of stylometric
features: low-level features that include character-based and word-based ones, and high …

Automated classification of BI-RADS in textual mammography reports

M Boroumandzadeh… - Turkish Journal of Electrical …, 2021 - journals.tubitak.gov.tr
The main purpose of this paper is to process key information in medical text records and
also classifypatients, per different levels of breast imaging-reporting and data system (BI …