Fake news detection on social media: a systematic survey

MK Elhadad, KF Li, F Gebali - 2019 IEEE Pacific Rim …, 2019 - ieeexplore.ieee.org
These days there are instabilities in many societies in the world, either because of political,
economic, and other societal issues. The advance in mobile technology has enabled social …

Text classification based on the word subspace representation

EK Shimomoto, F Portet, K Fukui - Pattern Analysis and Applications, 2021 - Springer
In this paper, we propose a novel framework for text classification based on subspace-based
methods. Recent studies showed the advantages of modeling texts as linear subspaces in a …

Identifying optimal baseline variant of unsupervised term weighting in question classification based on bloom taxonomy

A Sangodiah, TJ San, YT Fui, LE Heng, RK Ayyasamy… - Mendel, 2022 - mendel-journal.org
Examination is one of the common ways to evaluate the students' cognitive levels in higher
education institutions. Exam questions are labeled manually by educators in accordance …

Improved Model for Identifying the Cyberbullying based on Tweets of Twitter

D Samalo, R Martin, DN Utama - Informatica, 2023 - informatica.si
The surge of cyberbullying on social media platforms is a major concern in today's digital
age, with its prevalence escalating alongside advancements in technology. Thus, devising …

Fukunaga–koontz convolutional network with applications on character classification

BB Gatto, EM dos Santos, K Fukui, WSS Júnior… - Neural Processing …, 2020 - Springer
Several convolutional neural network architectures have been proposed for handwritten
character recognition. However, most of the conventional architectures demand large scale …

An automated interview grading system in talent recruitment using SVM

M Yusuf, KM Lhaksmana - 2020 3rd international conference …, 2020 - ieeexplore.ieee.org
Interview is one of the most important stages during talent recruitment to find the best
candidates who fit with the corporate culture. However, an interview usually involves third …

Environmental Sound Classification Based on CNN Latent Subspaces

M Mahyub, LS Souza, B Batalo… - … Workshop on Acoustic …, 2022 - ieeexplore.ieee.org
In recent years, Convolutional Neural Networks (CNN) have become the standard method
for addressing various audio classification problems. However, as CNNs rely on the …

News2meme: An automatic content generator from news based on word subspaces from text and image

EK Shimomoto, LS Souza, BB Gatto… - 2019 16th International …, 2019 - ieeexplore.ieee.org
Internet users engage in content creation by using various media formats. One of the most
popular forms is the “internet meme”, which often depicts the general opinion about events …

Pattern-set representations using linear, shallow and tensor subspaces

BB Gatto - 2020 - tede.ufam.edu.br
Pattern-set matching belongs to a class of problems where learning takes place through sets
rather than elements. Much used in computer vision, this approach has the advantage of …

Encoder using machine-trained term frequency weighting factors that produces a dense embedding vector

Y Wang, Y Wu, H Hu, S Ulabala, V Thakkar… - US Patent …, 2023 - Google Patents
2019-04-19 Assigned to MICROSOFT TECHNOLOGY LICENSING, LLC reassignment
MICROSOFT TECHNOLOGY LICENSING, LLC ASSIGNMENT OF ASSIGNORS INTEREST …