CHI-ANNOUNCEMENTS Archives

ACM SIGCHI General Interest Announcements (Mailing List)

CHI-ANNOUNCEMENTS@LISTSERV.ACM.ORG

Options: Use Forum View

Use Proportional Font
Show HTML Part by Default
Show All Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Subject:
From:
Andreas Holzinger <[log in to unmask]>
Reply To:
Andreas Holzinger <[log in to unmask]>
Date:
Tue, 3 Mar 2020 07:44:10 +0100
Content-Type:
text/plain
Parts/Attachments:
text/plain (68 lines)
Call for Papers - CD-MAKE 2020
4th 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 2020

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: University College Dublin, Dublin, Ireland
Conference Website https://cd-make.net
EasyChair Submission Link:
https://easychair.org/conferences/?conf=cdmake2020
Paper Submission Deadline: March 29,2020
Author Notification: May 14, 2020
Author Registration (latest): June, 14, 2020
Camera Ready (hard deadline!): June 19, 2020
Conference: August 25 – 28, 2020

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-2020/

Each paper will be reviewed by at least three experts from the
conference committee.
Accepted Papers will appear in Springer Lecture Notes in Computer
Science (LNCS)

-------watch TEDxMedunigraz https://www.youtube.com/watch?v=UuiV0icAlRs
-----------------------------------------------------------------------
Assoc.Prof. Dr. Andreas HOLZINGER, Group Leader,  Human-Centered-AI-Lab
Institute for Medical Informatics / Statistics, Medical University Graz
Auenbruggerplatz 2/V,  A-8036 Graz, AUSTRIA,  Phone: ++43 316 385 13883
Group:  https://human-centered.ai   Personal: https://www.aholzinger.at
Visit.Prof. for explainable AI, AMII,University of Alberta,Edmonton, CA
-----------------------------------------------------------------------
----- Augmenting Human Intelligence with Artificial Intelligence ------

    ---------------------------------------------------------------
    For news of CHI books, courses & software, join CHI-RESOURCES
     mailto: [log in to unmask]

    To unsubscribe from CHI-ANNOUNCEMENTS send an email to
     mailto:[log in to unmask]

    For further details of CHI lists see http://listserv.acm.org
    ---------------------------------------------------------------

ATOM RSS1 RSS2