Abstract: Semi-supervised learning can effectively utilize limited labeled data and large amounts of unlabeled data to achieve fault diagnosis on process industries. This paper proposes a novel cosine ...

Abstract: As the recommender systems need data to generate a recommendation, the dataset is intended as a standardized input for research on recommendation systems for software engineering but is also ...