4th International IFIP Cross Domain Conference for Machine Learning & Knowledge Extraction

CD-MAKE 2020


Artificial Intelligence



“Augmenting Human Intelligence with Artificial Intelligence”
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 is the workhorse of Artificial Intelligence with enormous challenges in various application domains. It needs a concerted international effort without boundaries, supporting collaborative and integrative cross-disciplinary research between experts from diverse fields.
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 an innovative catalysator and to bring together researchers from the following seven thematic sub-areas in a cross-disciplinary manner, to stimulate fresh ideas and to encourage multi-disciplinary problem solving:
- DATA - Data science (data fusion, preprocessing, mapping, knowledge representation, discovery)
- LEARNING - Machine learning algorithms, contextual adaptation, explainable-AI, causal reasoning
- VISUALIZATION - and visual analytics, intelligent user interfaces, human-computer interaction
- PRIVACY - data protection, safety, security, ethics, acceptance and social issues of ML
- NETWORK - graphical models, graph-based ML
- TOPOLOGY - geometrical machine learning, topological data analysis, manifold learning
- ENTROPY - time and machine learning, entropy-based ML
Each paper will be reviewed by at least three experts. Accepted Papers will appear in a Volume of Springer Lecture Notes in Computer Science (LNCS) and there is also the opportunity to publish in our MAKE Journal: https://www.mdpi.com/journal/make
In line with CD-MAKE we organize the 2nd workshop on explainable AI (ex-AI):
https://human-centered.ai/explainable-ai-2020/