[HTML][HTML] From technological development to social advance: A review of Industry 4.0 through machine learning

C Lee, C Lim - Technological Forecasting and Social Change, 2021 - Elsevier
Industry 4.0 has attracted considerable interest from firms, governments, and individuals as
the new concept of future computer, industrial, and social systems. However, the concept …

Feature selection for text classification: A review

X Deng, Y Li, J Weng, J Zhang - Multimedia Tools and Applications, 2019 - Springer
Big multimedia data is heterogeneous in essence, that is, the data may be a mixture of
video, audio, text, and images. This is due to the prevalence of novel applications in recent …

[HTML][HTML] Multi-animal pose estimation, identification and tracking with DeepLabCut

J Lauer, M Zhou, S Ye, W Menegas, S Schneider… - Nature …, 2022 - nature.com
Estimating the pose of multiple animals is a challenging computer vision problem: frequent
interactions cause occlusions and complicate the association of detected keypoints to the …

[HTML][HTML] Graph-based relevancy-redundancy gene selection method for cancer diagnosis

S Azadifar, M Rostami, K Berahmand, P Moradi… - Computers in Biology …, 2022 - Elsevier
Nowadays, microarray data processing is one of the most important applications in
molecular biology for cancer diagnosis. A major task in microarray data processing is gene …

We value your privacy... now take some cookies: Measuring the GDPR's impact on web privacy

M Degeling, C Utz, C Lentzsch, H Hosseini… - arXiv preprint arXiv …, 2018 - arxiv.org
The European Union's General Data Protection Regulation (GDPR) went into effect on May
25, 2018. Its privacy regulations apply to any service and company collecting or processing …

[图书][B] Machine learning for text: An introduction

CC Aggarwal, CC Aggarwal - 2018 - Springer
The extraction of useful insights from text with various types of statistical algorithms is
referred to as text mining, text analytics, or machine learning from text. The choice of …

NOREVA: enhanced normalization and evaluation of time-course and multi-class metabolomic data

Q Yang, Y Wang, Y Zhang, F Li, W Xia… - Nucleic Acids …, 2020 - academic.oup.com
Biological processes (like microbial growth & physiological response) are usually dynamic
and require the monitoring of metabolic variation at different time-points. Moreover, there is …

MLACO: A multi-label feature selection algorithm based on ant colony optimization

M Paniri, MB Dowlatshahi… - Knowledge-Based Systems, 2020 - Elsevier
Nowadays, with emerge the multi-label datasets, the multi-label learning processes attracted
interest and increasingly applied to different fields. In such learning processes, unlike single …

Large-scale computerized text analysis in political science: Opportunities and challenges

J Wilkerson, A Casas - Annual Review of Political Science, 2017 - annualreviews.org
Text has always been an important data source in political science. What has changed in
recent years is the feasibility of investigating large amounts of text quantitatively. The internet …

A fast fuzzy clustering algorithm for complex networks via a generalized momentum method

L Hu, X Pan, Z Tang, X Luo - IEEE Transactions on Fuzzy …, 2021 - ieeexplore.ieee.org
Complex networks have been widely adopted to represent a variety of complicated systems.
Given a complex network, it is of great significance to perform accurate clustering for better …