The imbalanced data makes the machine learning model seriously biased, which leads to
false positive in screening of therapeutic drugs for breast cancer. In order to deal with this …

Hybridization of classifiers can often yield outperformed performance compared to its best
individual component and mostly have more generalization ability. The majority of combined …

To comprehend the etiology and pathogenesis of many illnesses, it is essential to identify
disease-associated microRNAs (miRNAs). However, there are a number of challenges with …

This paper first studies the quantile hedging problem of contingent claims in an uncertain
market model. A special kind of no-arbitrage, that is, the absence of immediate profit, is …

From a consumer perspective, social media has improved price transparency to an
unprecedented level (McGuire, 2016). Consumers depend on online reviews to obtain …

This paper investigates a robust portfolio selection problem with the agent's limited attention.
The agent has access to a risk-free asset and a stock in a financial market. But she does not …

Most of the existing research on enterprise tax arrears prediction is based on the financial
situation of enterprises. The influence of various relationships among enterprises on tax …

The Coronavirus (COVID-19) outbreak of December 2019 has become a serious threat to
people around the world, creating a health crisis that infected millions of lives, as well as …

In the rapidly evolving landscape of economic analysis, applying programming-based
analytical tools has become paramount. This presentation delves into the intricate world of …