Today, many industrial processes are undergoing digital transformation, which often
requires the integration of well-understood domain models and state-of-the-art machine …

Artificial intelligence (AI) has transformed various fields, significantly impacting our daily
lives. A major factor in AI success is high-quality data. In this paper, we present a …

Abstract Machine learning (ML) models have gained significant attention in a variety of
applications, from computer vision to natural language processing, and are almost always …

Domain experts are increasingly employing machine learning to solve their domain-specific
problems. This article presents to software engineering researchers the six key challenges …

This chapter is designed to provide an overview of the challenges facing Industry 4.0,
focussing on the manufacturing sector, and highlighting the specifics of small to medium …

Machine learning pipelines are an essential component of modern data science. They play
a crucial role in automating the development process of ML models. However, designing …

Movie rating prediction models face challenges in accurately forecasting user preferences
due to the complexity of user-movie interactions. This research examines various feature …

Artificial Intelligence (AI) and Machine Learning (ML) systems can help stakeholders
addressing challenges in several domains. To this aim, a huge amount of heterogeneous …