For example, you might want to predict a person's sex (male or female) from age, state of residence, annual income and political leaning (conservative, moderate, liberal). There are many machine ...

Machine learning (ML) is ever more frequently used as a tool to aid decision making. The need to understand the decisions made by ML algorithms has sparked a renewed interest in explainable ML models.

Objective Systemic autoimmune rheumatic diseases (SARDs) encompass a diverse group of complex conditions with overlapping clinical features, making accurate diagnosis challenging. This study aims to ...

Machine learning is a powerful tool that can be used to solve a variety of problems. However, it is important to note that machine learning algorithms are only as good as the data they are trained on.

Using deep learning to judge the convergence of power flow calculation is a classification process. The trained deep model classifies the grid operation samples as feasible or not. The model can be ...

SWELL-KW Dataset. The results of different supervised and unsupervised learning algorithms using the SWELL-KW dataset are illustrated in Tables 4A,B, 5.The highest classification accuracy achieved ...

Discover how sentiment analysis and machine learning techniques are used to classify and predict the spatial distribution of positive and negative sentiments of the Covid-19 pandemic. Explore the ...