[HTML][HTML] Automated data processing and feature engineering for deep learning and big data applications: a survey

A Mumuni, F Mumuni - Journal of Information and Intelligence, 2024 - Elsevier
Modern approach to artificial intelligence (AI) aims to design algorithms that learn directly
from data. This approach has achieved impressive results and has contributed significantly …

Auto-CASH: A meta-learning embedding approach for autonomous classification algorithm selection

T Mu, H Wang, C Wang, Z Liang, X Shao - Information Sciences, 2022 - Elsevier
With years of development, machine learning algorithms have excellent performance in
some tasks of data analysis and data mining. To apply machine learning to new tasks …

From the beginning: Key transitions in the first 15 years of dnssec

E Osterweil, PF Tehrani, TC Schmidt… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
When the global rollout of the DNS Security Extensions (DNSSEC) began in 2005, a first-of-
its-kind trial started: The complexity of a core Internet protocol was magnified in favor of …

Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods

A Mumuni, F Mumuni - arXiv preprint arXiv:2403.08352, 2024 - arxiv.org
Data augmentation is arguably the most important regularization technique commonly used
to improve generalization performance of machine learning models. It primarily involves the …

Solutions of feature and Hyperparameter model selection in the intelligent manufacturing

CY Wang, CY Huang, YH Chiang - Processes, 2022 - mdpi.com
In the era of Industry 4.0, numerous AI technologies have been widely applied. However,
implementation of the AI technology requires observation, analysis, and pre-processing of …

MODELING, OPTIMIZATION AND INFORMATION TECHNOLOGY

MA RUSANOV, VR ABBAZOV, VA BALUEV… - MODELING …, 2022 - elibrary.ru
Economic and social development requires constant modernization of the regional
management system based on the system of key socio-economic indicators of the region-# …