CD-MAKE 2021

22 January 2021 By Webmaster In IFIP TC12 Blog

“Augmenting Human Intelligence with Artificial Intelligence”

International IFIP Cross Domain (CD) Conference for
Machine Learning & Knowledge Extraction (MAKE)
CD-MAKE 2021 

CD-MAKE is a joint effort of IFIP TC 5, IFIP TC 12, IFIP WG 8.4, IFIP WG 8.9 and IFIP WG 12.9 and is held as an all-digital conference in conjunction with
the 16th International Conference on Availability, Reliability and Security ARES 2021

August 17 – 20, 2021, TU Wien, Vienna, Austria

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.

Deadline for Proposal Submissions for Special Sessions/Workshops/Tutorials  January 31, 2021
Submission Deadline  March 21, 2021
Author Notification May 10, 2021
Camera Ready (Hard Springer deadline)  June 13, 2021
All-Digital Conference  August 17 – 20, 2021

ARES & CD-MAKE 2020 were published by the International Conference Proceedings Series published by ACM ICPS (ARES) & Springer LNCS (CD-MAKE).

EasyChair Submission Link:

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.

In line with CD-MAKE we organize the xAI Workshop: 

Read 248 times Last modified on Friday, 22 January 2021 01:46
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