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 …

Machine learning models are only as good as their training data. Simple models trained on
well-chosen features extracted from the raw data often outperform complex models trained …

The research relevance is determined by the growing need to use machine learning
systems in various industries, which requires reliable data processing and optimization. The …

Addressing data quality issues is a challenging task due to the labor-intensive nature of
manual data cleaning processes and the inadequacy of automated tools that lack effective …

The selection of a machine-learning (ML) algorithm is indispensable for tabular AutoML
training. Finding an optimized algorithm from a search space can be expensive for large …

In the current era, electric power enterprises are facing a lot of corporate risks. How to detect
and warn the operational risks of enterprises in a timely manner has become an important …

The exponential growth of healthcare data nowadays due to the widespread use of
electronic health records (EHRs) has presented both opportunities and challenges in patient …