The recent high performance of ChatGPT on several standardized academic ...
COVID-19 has caused widespread damage across many areas of life and has ...
Quadruped robots are currently used in industrial robotics as mechanical...
Feature selection is an important and active field of research in machin...
Imbalanced data is a frequently encountered problem in machine learning....
Imbalanced data occurs in a wide range of scenarios. The skewed distribu...
Signal data often contains missing values. Effective replacement (imputa...
In this paper, we apply a fusion machine learning method to construct an...
In this paper, we analyze existing feature selection methods to identify...
The COVID-19 pandemic has galvanized the machine learning community to c...
Imbalanced class distribution is a common problem in a number of fields
...
Asset value forecasting has always attracted an enormous amount of inter...
Existing feature selection methods fail to properly account for interact...
Imbalanced response variable distribution is not an uncommon occurrence ...
High-dimensional data poses unique challenges in outlier detection proce...