[Corpora-List] CFP: CD-MAKE2020

Karin Verspoor karin.verspoor at unimelb.edu.au
Sun Mar 15 00:05:17 CET 2020

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 In case of travel restriction also on-line talks will be possible.

The goal of the CD-MAKE conference is to act as a catalyser, 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)

(NB: if the conference is unable to go ahead, publication of the proceedings will proceed regardless.)

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