Conference Description:

Machine learning is the workhorse of Artificial Intelligence with enormous challenges in various application domains. Successful Machine Learning needs a concerted international effort without boundaries, supporting collaborative and integrative cross-disciplinary research between experts from seven fields.

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:

v DATA – data fusion, preprocessing, mapping, knowledge representation, discovery
w LEARNING – algorithms, contextual adaptation, explainable-AI, causal reasoning
x VISUALIZATION – visual analytics, intelligent interfaces, human-computer interaction
y PRIVACY – data protection, safety, security, ethics, acceptance and social issues of ML
z NETWORK – graphical models, graph-based machine learning
{ TOPOLOGY – geometrical machine learning, topological and manifold learning
| ENTROPY – time and machine learning, entropy-based ML