CD-MAKE 2023: 7th International IFIP Cross Domain Conference for Machine Learning & Knowledge Extraction University of Sannio Benevento, Italy, August 29-September 1, 2023

Calll 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, ItalyConference Website https://cd-make.netEasyChair 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

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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, AustriaEdgar WEIPPL, SBA Research & University of Vienna, AustriaA 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/

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