CD MAKE 2022 - CD-MAKE 2022 6th International IFIP Cross Domain Conference for Machine Learning & Knowledge Extraction

Website https://cd-make.net/ | Edit Freely

Category Machine Learning; Knowledge Extraction

Deadline: April 03, 2022 | Date: August 23, 2022-August 26, 2022

Venue/Country: Vienna, Austria

Updated: 2022-03-30 17:30:30 (GMT+9)

Call For Papers - CFP

6th 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 2022

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: Vienna, Austria

Conference Website https://cd-make.net

EasyChair Submission Link: https://easychair.org/conferences/?conf=cdmake2022

Extended Submission Deadline: April 3, 2022 AoE (Anywhere on Earth)*

Author Notification: May 10, 2022

Camera Ready (hard deadline!): June 19, 2022

Conference: August 23 – 26, 2022

* all papers need to be submitted in EasyChair until this date. No additional updates possible after April 3, 2022 (AoE).

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.

CONFERENCE CO-CHAIRS

Andreas HOLZINGER, (Co-Chair)

a.holzingerhci-kdd.org

Peter KIESEBERG (Co-Chair)

Peter.Kiesebergfhstp.ac.at

Edgar WEIPPL (Co-Chair)

eweipplsba-research.org

A Min TJOA (Co-Chair)

aminifs.tuwien.ac.at

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 20 pages, and, in any case, please produce even pages to ensure smooth page breaks, e.g. 10, 12, 14, 16, 18, 20 pages!

Double blind review: CD-MAKE requires anonymized submissions – please make sure that submitted papers contain no author names or obvious self-references. 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).