posted by user: lorentzj || 1341 views || tracked by 6 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

ICDM 2022   22nd IEEE International Conference on Data Mining
MLDM 2023   18th International Conference on Machine Learning and Data Mining
NeurIPS 2022   Thirty-sixth Conference on Neural Information Processing Systems
CFDSP 2023   2023 International Conference on Frontiers of Digital Signal Processing (CFDSP 2023)
IJCNN 2023   International Joint Conference on Neural Networks
WSPML 2022   2022 4rd International Workshop on Signal Processing and Machine Learning (WSPML 2022)
GreeNet Symposium - SGNC 2022   11th Symposium on Green Networking and Computing (SGNC 2020)
ACMLC--EI Compendex, Scopus 2022   2022 5th Asia Conference on Machine Learning and Computing (ACMLC 2022)--Ei Compendex, Scopus
MDPI computers 2022   MDPI computers Special Issue on GPU based Applications in Machine Learning - Open for submission