CD-MAKE 2019 - International IFIP Cross Domain (CD) Conference for Machine Learning & Knowledge Extraction (MAKE)

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

Category CD-MAKE 2019

Deadline: April 08, 2019 | Date: August 26, 2019-August 29, 2019

Venue/Country: Canterbury, U.K.

Updated: 2019-01-30 17:43:04 (GMT+9)

Call For Papers - CFP

Call for Papers - CD-MAKE 2019

3rd 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 2018

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 of Kent, Canterbury, UK

Conference Website https://cd-make.net

Submission link https://easychair.org/conferences/?conf=cdmake2019

Submission Deadline (soft deadline): April, 8, 2019

Author Notification: May, 24, 2019 ñ Author registration before June 13, 2019

Camera Ready Deadline (hard deadline): June, 23, 2019

Conference: August, 26-29, 2019

EasyChair Submission Link

https://easychair.org/conferences/?conf=cdmake2019

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://hci-kdd.org/make-explainable-artificial-intelligence-2019

In line with the ex-AI session we have 2019 a unique opportunity for interested authors. We have an open call for papers in the Springer/Nature BMC Journal Medical Informatics and Decision Support (MIDM, SCI-Impactfactor 2.134) during the whole year, where papers can be submitted and ñ given acceptance ñ can also be presented at the conference. Vice versa, we have the opportunity that presented papers at the conference can be expanded and published into the journal:

https://hci-kdd.org/special-issue-explainable-ai-medical-informatics-decision-making