posted by user: EuAsia || 1282 views || tracked by 2 users: [display]

CD-MAKE 2021 : Cross Domain Conference for Machine Learning and Knowledge Extraction

FacebookTwitterLinkedInGoogle

Link: https://cd-make.net/about/
 
When Aug 17, 2021 - Aug 20, 2021
Where Virtual Conference
Submission Deadline Apr 15, 2021
Notification Due May 27, 2021
Final Version Due Jun 18, 2021
 

Call For Papers

5th International Cross Domain Conference for
Machine Learning & Knowledge Extraction (CD-MAKE 2021)
CD-MAKE 2021 Call for Papers (txt, pdf)

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 2021 ARES & CD-MAKE Organization is closely monitoring the ongoing COVID-19 situation. The safety and well-being of all conference participants is our top priority. After studying and evaluating the announcements, guidance, and news released by relevant national departments, we are prepared to convert ARES & CD-MAKE 2021 into an all-digital conference experience if needed. The dates of the conference would remain the same.

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.

Related Resources

SPIE-Ei/Scopus-DMNLP 2025   2025 2nd International Conference on Data Mining and Natural Language Processing (DMNLP 2025)-EI Compendex&Scopus
ICSTTE 2025   2025 3rd International Conference on SmartRail, Traffic and Transportation Engineering (ICSTTE 2025)
MLPRIS 2025   The 7th Int'l Conference on Machine Learning, Pattern Recognition and Intelligent Systems
IEEE-EI/Scopus-IECA 2025   2025 2nd International Conference on Informatics Education and Computer Technology Applications -IEEE Xplore/EI/Scopus
CRET--EI 2025   2025 International Conference on Control, Robotics Engineering and Technology (CRET 2025)
ICPRS 2025   15th International Conference on Pattern Recognition Systems
MobiCASE 2025   16th EAI International Conference on Mobile Computing, Applications and Services
Hong Kong-MIST 2025   2025 Asia-Pacific Conference on Marine Intelligent Systems and Technologies (MIST 2025)
MLMI 2025   2025 The 8th International Conference on Machine Learning and Machine Intelligence (MLMI 2025)
MLPR 2025   ACM--2025 The 3rd International Conference on Machine Learning and Pattern Recognition (MLPR 2025)