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Aims: The Data section is dedicated to publishing original research, reviews, and commentaries that showcase the central role of data in machine learning and knowledge extraction. The section aims to explore the creation, management, evaluation, and application of high-quality datasets and their im...

Automatic and interactive machine learning methodologies, methods, algorithms and tools, comparisons to human cognition.

Thematic Reviews provide advanced overviews, tutorials and perspective papers on the current challenges of the area of Machine Learning and Knowledge Extraction. Advanced overviews aim at critically presenting the current state-of-the-art of a topic, including opposing viewpoints, and identify ch...

Graph-based machine learning, graph data mining, language graphs, probabilistic graphical models

Artificial intelligence pervades all aspects of contemporary life and shapes increasingly how we work, communicate and organize ourselves as a society. Its rapid diffusion across industry, research and public services will continue to accelerate, leading to increasingly complex and interdependent AI...

Data visualization, visual analysis, comparisons to human perception, human-computer interaction