CD-MAKE 2020 - International IFIP Cross Domain Conference for Machine Learning & Knowledge Extraction

The goal of the CD-MAKE conference is to act as an innovative catalysator and to bring together researchers from the following seven thematic sub-areas in a cross-disciplinary manner, to stimulate fresh ideas and to encourage multi-disciplinary problem solving:
- DATA - Data science (data fusion, preprocessing, mapping, knowledge representation, discovery)
- LEARNING - Machine learning algorithms, contextual adaptation, explainable-AI, causal reasoning
- VISUALIZATION - and visual analytics, intelligent user interfaces, human-computer interaction
- PRIVACY - data protection, safety, security, ethics, acceptance and social issues of ML
- NETWORK - graphical models, graph-based ML
- TOPOLOGY - geometrical machine learning, topological data analysis, manifold learning
- ENTROPY - time and machine learning, entropy-based ML