[Om-announce] Call for Papers: CD-MAKE 2023

SBA Research Events events at sba-research.org
Mon Feb 27 13:40:21 CET 2023


Call for Papers - CD-MAKE 2023
7th 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 2023

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 of Sannio, Benevento, Italy
Conference Website https://cd-make.net
EasyChair Submission Link: https://easychair.org/conferences/?conf=cdmake2023
Paper Submission Deadline: March 27, 2023 (AoE)
Author Notification: June 01, 2023
Camera Ready (hard deadline!): June 22, 2023 (AoE)
Conference: August 29 - September 1, 2023

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.
8) Digital Transformation for smart farm and forest operations
9) Perspectivist Learning
10) Uncertainty Management and Quantification in ML

***
Steering Committee
Andreas HOLZINGER, Human-Centered AI Lab (Holzinger Group), University of Natural Resources and Life Sciences, Austria
Peter KIESEBERG, St. Pölten University of Applied Sciences, Austria
Edgar WEIPPL, SBA Research & University of Vienna, Austria
A Min TJOA, Vienna University of Technology, Austria

PC CHAIRS
Federico CABITZA, University of Milano-Bicocca, Italy
Andrea CAMPAGNER, University of Milano-Bicocca, Italy

CONFERENCE COMMITTEE
The conference committee can be found here: https://cd-make.net/committees/
***

Submission Guidelines
Detailed guidelines can be found here: https://cd-make.net/submission/
We will not require a definite page number, but full papers shall be between 10 and maximal 24 pages (incl. references), and, in any case, please produce even pages to ensure smooth page breaks, e.g. 10, 12, 14, 16, 18, 20 pages!
References need to start with a new page!

Contact author must provide the following information at the ARES conference system: paper title, authors' names, affiliations, postal address, phone, fax, and e-mail address of the author(s) (all authors listed as authors in the paper have to be added to the paper in EasyChair already during the initial submission! if authors need to be added later on contact us), and about three keywords. Accepted papers will be given guidelines in preparing and submitting the final manuscript(s) together with the notification of acceptance.

*NEW" Abstract Submission: if you submit your 200-300 word abstract until March 13, 2023 you will receive feedback from the PC chairs in case your paper is not within the scope of the conference

Note: Submission of a paper implies that - should the paper be accepted - at least one of the authors will register and present the paper at the conference.

*New* single blind review: CD-MAKE does not require anonymized submissions. Each paper will be reviewed by at least three experts from the conference committee and additional reviewers (e.g. special sessions).
Accepted Papers appeared in Springer Lecture Notes in Computer Science (LNCS).


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