CD-MAKE 2021

CD-MAKE 2021

From August 17, 2021 20:11 until August 20, 2021 22:11

At TU Wien, Vienna, Austria

Posted by Nenad Stefanović

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https://cd-make.net/

Categories: Conferences

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“Augmenting Human Intelligence with Artificial Intelligence”

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

Call for Papers - CD-MAKE 2021

5th International IFIP Cross Domain Conference for Machine Learning & Knowledge Extraction

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 International Conference on Availability, Reliability & Security, ARES 2021

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.

Conference Location: TU Wien, Vienna, Austria

Conference Website    https://cd-make.net

EasyChair Submission Link:

https://easychair.org/conferences/?conf=cdmake2021

Paper Submission Deadline: March 21, 2021 Author Notification: May 10, 2021 Camera Ready (hard Springer LNCS deadline!): June 13, 2021

Conference: August 17 – 20, 2021

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:

https://human-centered.ai/explainable-ai-workshop-2021/