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

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Link: https://cd-make.net/
 
When Aug 26, 2019 - Aug 29, 2019
Where Canterbury, UK
Submission Deadline TBD
 

Call For Papers

ìAugmenting Human Intelligence with Artificial Intelligenceî

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

Related Resources

CD-MAKE 2021   Cross Domain Conference for Machine Learning and Knowledge Extraction
AAAI-MAKE 2022   AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence
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MLDM 2022   18th International Conference on Machine Learning and Data Mining
FAIML 2022   2022 International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML 2022)
DSN 2022   The 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks
AAAI-MAKE 2021   AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering
ICADCML 2022   3rd International Conference on Advances in Distributed Computing and Machine Learning - 2022
ACM MIDDLEWARE 2021   22nd ACM/IFIP International Conference