posted by user: EuAsia || 1415 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

Ei/Scopus-SGGEA 2025   2025 2nd Asia Conference on Smart Grid, Green Energy and Applications (SGGEA 2025)
IEEE-ACAI 2025   2025 IEEE 8th International Conference on Algorithms, Computing and Artificial Intelligence (ACAI 2025)
IEEE-Ei/Scopus-PRDM 2025   2025 6th International Conference on Pattern Recognition and Data Mining (PRDM 2025)
Ei/Scopus-MLBDM 2025   2025 5th International Conference on Machine Learning and Big Data Management (MLBDM 2025)
SPRA 2026   SPIE--2026 6th Symposium on Pattern Recognition and Applications (SPRA 2026)
S+SSPR 2026   Joint IAPR International Workshops on Statistical Techniques in Pattern Recognition and Structural and Syntactic Pattern Recognition
EPSEE 2025   2025 4th International Conference on Advanced Electric Power System and Energy Engineering (EPSEE 2025)
ICIAI 2026   2026 the 10th International Conference on Innovation in Artificial Intelligence (ICIAI 2026)
ISAI 2026   2026 the 6th International Symposium on AI (ISAI 2026)
ICIST--EI 2026   2026 The 5th International Conference on Intelligent Science and Technology (ICIST 2026)