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 …

Visual analytics systems combine machine learning or other analytic techniques with
interactive data visualization to promote sensemaking and analytical reasoning. It is through …

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 …

Interpretation and diagnosis of machine learning models have gained renewed interest in
recent years with breakthroughs in new approaches. We present Manifold, a framework that …

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 …

Performance analysis is critical in applied machine learning because it influences the
models practitioners produce. Current performance analysis tools suffer from issues …

机器学习模型可解释性方法,应用与安全研究综述 Page 1 计算机研究与发展 Journal of Computer
Research and Development 收稿日期:2019-05-28 基金项目:国家自然科学基金项目 …

Over the past decades, classification models have proven to be essential machine learning
tools given their potential and applicability in various domains. In these years, the north of …

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