Psychometric measures reflecting people's knowledge, ability, attitudes, and personality
traits are critical for many real-world applications, such as e-commerce, health care, and …

This paper shows how to convert a color image to grayscale using convolutional neural
network (CNN), that preserves visual contrast via gradient domain modeling. We propose to …

Sažetak Obtaining meaningful information from data has become the main problem. Hence
data mining techniques have gained importance. Text classification is one of the most …

Topic modeling is a commonly used text analysis tool for discovering latent topics in a text
corpus. However, while topics in a text corpus often exhibit a hierarchical structure (eg …

Detecting product adoption intentions on social media could yield significant value in a wide
range of applications, such as personalized recommendations and targeted marketing. In …

Contents posted on social media have attracted attention as a means to enhance the
development of tourism, because there are huge amounts of information that are for the …

To improve the feature extraction ability and shorten the learning time, fuzzy removing
redundancy restricted Boltzmann machine (F3RBM) is developed. The features extracted by …

Emerging data-driven technologies and big data analytics generate and deal with high-
dimensional data. Transformation of such data into a low-dimensional feature space comes …

Sentiment classification deals with extracting and classifying the text sentiment. Fuzzy Deep
Belief Network (DBN) has proved its efficiency in dealing with sentiment analysis and …

In this work, an artificial neural network was first achieved and optimized for evaluating
product distribution and studying the octane number of the sulfuric acid-catalyzed C4 …