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 …

Objective This work aims to provide a review of the existing literature in the field of
automated machine learning (AutoML) to help healthcare professionals better utilize …

Soft sensors are widely constructed in process industry to realize process monitoring, quality
prediction, and many other important applications. With the development of hardware and …

To overcome the shortcomings of the traditional manual detection of underwater targets in
side-scan sonar (SSS) images, a real-time automatic target recognition (ATR) method is …

Abstract Machine learning (ML) has become a vital part in many aspects of our daily life.
However, building well performing machine learning applications requires highly …

The rapid advancement of artificial intelligence (AI) is changing our lives in many ways. One
application domain is data science. New techniques in automating the creation of AI, known …

As the field of automated machine learning (AutoML) advances, it becomes increasingly
important to incorporate domain knowledge into these systems. We present an approach for …

Machine learning techniques have deeply rooted in our everyday life. However, since it is
knowledge-and labor-intensive to pursue good learning performance, humans are heavily …

The culture of employing machine learning driven assistance and decision making is
currently adopted by a variety of industries. Artificial intelligence encompasses a wide range …

Joint classification using multisource remote sensing data for Earth observation is promising
but challenging. Due to the gap of imaging mechanism and imbalanced information …