The continuous advancement of Artificial Intelligence (AI) has been revolutionizing the
strategy of decision-making in different life domains. Regardless of this achievement, AI …

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

Artificial intelligence (AI) is currently being utilized in a wide range of sophisticated
applications, but the outcomes of many AI models are challenging to comprehend and trust …

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 …

Deep convolutional neural networks (CNNs) have achieved breakthrough performance in
many pattern recognition tasks such as image classification. However, the development of …

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 …

Context: Bug reports record issues found during software development and maintenance. A
high-impact bug report (HBR) describes an issue that can cause severe damage once …

The wide spread of fake news has caused serious societal issues. We propose a subgraph
reasoning paradigm for fake news detection, which provides a crystal type of explainability …

The detection of fake news often requires sophisticated reasoning skills, such as logically
combining information by considering word-level subtle clues. In this paper, we move …

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 …