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<title>CD-MAKE 2021 - Call for Papers</title>
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<p align="center"><font face="Calibri"><strong><font size="4">5th International IFIP Cross Domain Conference for Machine Learning & Knowledge Extraction (CD-MAKE 2020) - CALL FOR PAPERS<br>
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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<br>
August 17 – 20, 2021 TU Wien, Vienna, Austria<br>
</font></strong><strong><font size="4"><a href="https://cd-make.net/">https://cd-make.net/</a>
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<strong>CD-MAKE 2021</strong><br>
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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. </font></p>
<p align="left"><strong><font face="Calibri">Paper Submission Deadline: March 21, 2021</font></strong></p>
<p align="left"><font face="Calibri">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:</font></p>
<p align="left"><font face="Calibri">1) DATA – data fusion, preprocessing, mapping, knowledge representation, environments, etc.<br>
2) LEARNING – algorithms, contextual adaptation, causal reasoning, transfer learning, etc.<br>
3) VISUALIZATION – intelligent interfaces, human-AI interaction, dialogue systems, explanation interfaces, etc.<br>
4) PRIVACY – data protection, safety, security, reliability, verifiability, trust, ethics and social issues, etc.<br>
5) NETWORK – graphical models, graph-based machine learning, Bayesian inference, etc.<br>
6) TOPOLOGY – geometrical machine learning, topological and manifold learning, etc.<br>
7) ENTROPY – time and machine learning, entropy-based learning, etc.</font></p>
<p align="left"><font face="Calibri">In line with CD-MAKE we organize the xAI Workshop:
<a href="https://human-centered.ai/explainable-ai-workshop-2021/">https://human-centered.ai/explainable-ai-workshop-2021/</a></font></p>
<p align="left"><font face="Calibri">Each paper will be reviewed by at least three experts from the conference committee.<br>
Accepted Papers will appear in Springer Lecture Notes in Computer Science (LNCS)</font></p>
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<strong>CONFERENCE OFFICERS</strong><br>
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Andreas HOLZINGER, Holzinger Group HCI-KDD, Medical University Graz, Austria<br>
Peter KIESEBERG, St. Pölten University of Applied Sciences, Austria<br>
Edgar WEIPPL, SBA Research, Austria<br>
A Min TJOA, Vienna University of Technology, Austria</font></p>
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<strong>IMPORTANT DATES</strong><br>
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</font><font color="#000000" face="Calibri"><strong>Paper Submission Deadline: March 21, 2021</strong><br>
Author Notification: May 10, 2021<br>
Camera Ready (hard deadline!): June 13, 2021<br>
Conference: August 17 – 20, 2021</font></p>
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<strong>SUBMISSION</strong><br>
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EasyChair Submission Link: <a href="https://easychair.org/conferences/?conf=cdmake2021">
https://easychair.org/conferences/?conf=cdmake2021</a></font></p>
<p><font face="Calibri">Detailed submission information can be found here: <a href="https://cd-make.net/submission/">
https://cd-make.net/submission/</a></p>
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<strong>PROGRAM COMMITTEE</strong><br>
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the program committee can be found here: <a href="https://cd-make.net/committees/">
https://cd-make.net/committees/</a></font></p>
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