Artificial intelligence (AI) and machine learning (ML) have come a long way from the earlier
days of conceptual theories, to being an integral part of today's technological society. Rapid …

The need for interpretable and accountable intelligent systems grows along with the
prevalence of artificial intelligence (AI) applications used in everyday life. Explainable AI …

Visual analytics for machine learning has recently evolved as one of the most exciting areas
in the field of visualization. To better identify which research topics are promising and to …

Interactive model analysis, the process of understanding, diagnosing, and refining a
machine learning model with the help of interactive visualization, is very important for users …

Employee turnover (ET) is a major issue faced by firms in all business sectors. Artificial
intelligence (AI) machine learning (ML) prediction models can help to classify the likelihood …

Research in machine learning has become very popular in recent years, with many types of
models proposed to comprehend and predict patterns and trends in data originating from …

This paper addresses the problem of matching common node correspondences among
multiple graphs referring to an identical or related structure. This multi-graph matching …

Word clouds continue to be a popular tool for summarizing textual information, despite their
well-documented deficiencies for analytic tasks. Much of their popularity rests on their playful …

Nowadays, various data collected in urban context provide unprecedented opportunities for
building a smarter city through urban computing. However, due to heterogeneity, high …

Using a sequence of topic trees to organize documents is a popular way to represent
hierarchical and evolving topics in text corpora. However, following evolving topics in the …