The goal of the CD-MAKE conference is to act as a catalysator, to bring together academia and industry in a cross-disciplinary manner, to stimulate fresh ideas and to support human-centered AI.
Topics: DATA – Data science (data fusion, preprocessing, mapping, knowledge representation, …), LEARNING – algorithms, contextual adaptation, causal reasoning, transfer learning … VISUALIZATION – intelligent interfaces, human-AI interaction, dialogue systems, … PRIVACY – data protection, safety, security, ethics, acceptance and social issues of ML, … NETWORK – graphical models, graph-based ML, Bayesian inference, … TOPOLOGY – geometrical machine learning, topological and manifold learning, … ENTROPY – time and machine learning, entropy-based learning, …