posted by user: lorentzj || 3812 views || tracked by 5 users: [display]

CD-MAKE 2022 : Cross Domain Conference for Machine Learning and Knowledge Extraction

FacebookTwitterLinkedInGoogle

Link: https://cd-make.net/about/
 
When Aug 23, 2022 - Aug 26, 2022
Where Vienna, Austria
Submission Deadline Mar 20, 2022
Notification Due May 1, 2022
Final Version Due Jun 19, 2022
Categories    machine learning   cross domain   computer science
 

Call For Papers


Call for Papers
6th International Cross Domain Conference for
Machine Learning & Knowledge Extraction (CD-MAKE 2022)

CD-MAKE 2022 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 17th International Conference on Availability, Reliability and Security ARES 2022
August 23th – August 26th, 2022.

Depending on the situation related to COVID-19 in 2022 we will keep you updated on regulations regarding the conference. Furthermore, if necessary, we will switch to an all-digital conference.

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)
Ei/Scopus-CCNML 2025   2025 5th International Conference on Communications, Networking and Machine Learning (CCNML 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)
Ei/Scopus-IPCML 2025   2025 International Conference on Image Processing, Communications and Machine Learning (IPCML 2025)
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)
IEEE- CCRIS 2025   2025 IEEE 6th International Conference on Control, Robotics and Intelligent System (CCRIS 2025)
SPRA 2026   SPIE--2026 6th Symposium on Pattern Recognition and Applications (SPRA 2026)