5th International Cross Domain Conference for
Machine Learning & Knowledge Extraction (CD-MAKE 2021)
CD-MAKE is a joint effort of IFIP TC 5, TC 12, IFIP WG 8.4, WG 8.9 and WG 12.9 and is held in conjunction with the 16th International Conference on Availability, Reliability and Security ARES 2021
August 17th – August 20th, 2021.
The safety and well-being of all conference participants is our top priority, therefore after studying and evaluating the current COVID situation, we decided to convert ARES & CD-MAKE 2021 into an all-digital conference experience. The dates of the conference will remain the same. We will be happy to organize an in person event in Vienna in addition to the virtual conference, if the COVID situation will allow.
Machine learning and Knowledge Extraction (MAKE) is the workhorse of Artificial Intelligence (AI). Successful human-centered AI needs a concerted effort without boundaries, supporting collaborative and integrative cross-disciplinary research between experts cross-domain.
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:
1) DATA – data fusion, preprocessing, mapping, knowledge representation, environments, etc.
2) LEARNING – algorithms, contextual adaptation, causal reasoning, transfer learning, etc.
3) VISUALIZATION – intelligent interfaces, human-AI interaction, dialogue systems, explanation interfaces, etc.
4) PRIVACY – data protection, safety, security, reliability, verifiability, trust, ethics and social issues, etc.
5) NETWORK – graphical models, graph-based machine learning, Bayesian inference, etc.
6) TOPOLOGY – geometrical machine learning, topological and manifold learning, etc.
7) ENTROPY – time and machine learning, entropy-based learning, etc.
Paper Submission Deadline: April 15, 2021
Author Notification: May 27, 2021
Camera Ready (hard deadline!): June 18, 2021
All-Digital Conference: August 17 – 20, 2021
Submission Link: Submission is now available here: https://easychair.org/conferences/?conf=cdmake2021
Each paper will be reviewed by at least three experts from the conference committee.
Accepted Papers will appear in Springer Lecture Notes in Computer Science (LNCS).
Andreas HOLZINGER, (Co-Chair)
Peter KIESEBERG (Co-Chair)
Edgar WEIPPL (Co-Chair)
A Min TJOA (Co-Chair)