Titlebook: Artificial Intelligence: Theory and Applications; Proceedings of AITA Harish Sharma,Antorweep Chakravorty,Rajani Kumari Conference proceed

Condescending

不如屎殼郎

冰雹

Co-GA: A Bio-inspired Semi-supervised Framework for Fake News Detection on Scarcely Labeled Data,ake news detection methodology. One of the key challenges faced by researchers is the lack of sufficient labeled data making semi-supervised learning increasingly important for social media data. Non-latent content features differ in fake and real news but at the same time suffer from the high-dimen

FLAT

,Kernel Methods for?Conformal Prediction to?Detect Botnets,s a critical task in cybersecurity, and machine learning techniques have been widely employed for this purpose. In this paper, we present a novel approach for botnet detection based on kernel methods and conformal prediction. Our method leverages the power of kernel functions to capture complex patt

AIL

Hyperlipidemia

nettle

時代錯誤

神刊

parallelism

Predicting of Credit Risk Using Machine Learning Algorithms, more rigid forecasting models with strong mapping abilities, credit risk prediction has become challenging for the banking industry. Therefore, this paper attempts to predict commercial banks’ credit risk (CR) by using various machine learning algorithms. Machine learning algorithms, namely linear