Many real-world data-mining applications involve obtaining predictive models using
datasets with strongly imbalanced distributions of the target variable. Frequently, the least …

OBJECTIVE. The purpose of this article is to highlight best practices for writing and
reviewing articles on artificial intelligence for medical image analysis. CONCLUSION …

This paper describes the fifth year of the Sentiment Analysis in Twitter task. SemEval-2017
Task 4 continues with a rerun of the subtasks of SemEval-2016 Task 4, which include …

We present a study on predicting the factuality of reporting and bias of news media. While
previous work has focused on studying the veracity of claims or documents, here we are …

This paper provides an overview of eRisk 2023, the seventh edition of the CLEF
conference's lab dedicated to early risk detection. Since its inception, our lab has aimed to …

In many real-world prediction tasks, class labels include information about the relative
ordering between labels, which is not captured by commonly-used loss functions such as …

Internet memes have become powerful means to transmit political, psychological, and socio-
cultural ideas. Although memes are typically humorous, recent days have witnessed an …

Ordinal regression problems are those machine learning problems where the objective is to
classify patterns using a categorical scale which shows a natural order between the labels …

This paper discusses the fourth year of the``Sentiment Analysis in Twitter Task''. SemEval-
2016 Task 4 comprises five subtasks, three of which represent a significant departure from …

Several code smells detection tools have been developed providing different results,
because smells can be subjectively interpreted and hence detected in different ways …