论文标题
人工智能发现的视觉知识发现：挑战和未来的方向
Visual Knowledge Discovery with Artificial Intelligence: Challenges and Future Directions
论文作者
论文摘要
该卷专门用于结合人工智能/机器学习（AI/ML）和可视化/视觉分析的综合视觉知识发现的新兴领域。包含的章节是在最近的国际信息可视化会议上（IV2019和IV2020）中选定的AI和视觉分析论文和相关研讨会的扩展版本。 AI/ML面临向人类解释模型的长期挑战。模型解释从根本上是人类活动，而不仅仅是一种算法。在本章中，我们旨在在视觉分析，视觉知识发现和AI/ML领域提出挑战和未来方向，并讨论可视化在视觉AI/ML中的作用。此外，我们描述了通过视觉手段辅助的多维数据中出现的完整2D ML，自然语言处理和AI/ML的进展。
This volume is devoted to the emerging field of Integrated Visual Knowledge Discovery that combines advances in Artificial Intelligence/Machine Learning (AI/ML) and Visualization/Visual Analytics. Chapters included are extended versions of the selected AI and Visual Analytics papers and related symposia at the recent International Information Visualization Conferences (IV2019 and IV2020). AI/ML face a long-standing challenge of explaining models to humans. Models explanation is fundamentally human activity, not only an algorithmic one. In this chapter we aim to present challenges and future directions within the field of Visual Analytics, Visual Knowledge Discovery and AI/ML, and to discuss the role of visualization in visual AI/ML. In addition, we describe progress in emerging Full 2D ML, natural language processing, and AI/ML in multidimensional data aided by visual means.
