CD-MAKE 2021 - Cross Domain Conference for Machine Learning and Knowledge Extraction
Date2021-08-17 - 2021-08-20
Deadline2021-04-15
VenueVirtual Conference, Austria
Keywords
Websitehttps://cd-make.net/about
Topics/Call fo Papers
CD stands for Cross-Domain and means the integration and appraisal of different fields and application domains (e.g. health AI, Industry 4.0, etc.) to provide an atmosphere to foster different perspectives and opinions. The conference is dedicated to offer an international platform for novel ideas and a fresh look on the methodologies to put crazy ideas into Business for the benefit of the human. Serendipity is a desired effect, and shall cross-fertilize methodologies and transfer of algorithmic developments.
MAKE stands for MAchine Learning & Knowledge Extraction.
DATA – Data science (data fusion, preprocessing, mapping, knowledge representation, …),
❷ LEARNING – algorithms, contextual adaptation, causal reasoning, transfer learning …
❸ VISUALIZATION – intelligent interfaces, human-AI interaction, dialogue systems, …
❹ PRIVACY – data protection, safety, security, ethics, acceptance and social issues of ML, …
❺ NETWORK – graphical models, graph-based ML, Bayesian inference, …
❻ TOPOLOGY – geometrical machine learning, topological and manifold learning, …
❼ ENTROPY – time and machine learning, entropy-based learning, …
MAKE stands for MAchine Learning & Knowledge Extraction.
DATA – Data science (data fusion, preprocessing, mapping, knowledge representation, …),
❷ LEARNING – algorithms, contextual adaptation, causal reasoning, transfer learning …
❸ VISUALIZATION – intelligent interfaces, human-AI interaction, dialogue systems, …
❹ PRIVACY – data protection, safety, security, ethics, acceptance and social issues of ML, …
❺ NETWORK – graphical models, graph-based ML, Bayesian inference, …
❻ TOPOLOGY – geometrical machine learning, topological and manifold learning, …
❼ ENTROPY – time and machine learning, entropy-based learning, …
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Last modified: 2021-03-17 16:37:08