CD-MAKE: International IFIP Cross Domain (CD) Conference for Machine Learning & Knowledge Extraction (MAKE)

Beschreibung

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:

❶ DATA – data fusion, preprocessing, mapping, knowledge representation, discovery

❷ LEARNING – algorithms, contextual adaptation, explainable-AI, causal reasoning

❸ VISUALIZATION – visual analytics, intelligent interfaces, human-computer interaction

❹ PRIVACY – data protection, safety, security, ethics, acceptance and social issues of ML

❺ NETWORK – graphical models, graph-based machine learning

❻ TOPOLOGY – geometrical machine learning, topological and manifold learning

❼ ENTROPY – time and machine learning, entropy-based ML