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CD-MAKE 2020 : 4th International IFIP Cross Domain Conference for Machine Learning & Knowledge Extraction | |||||||||||||||
Link: https://cd-make.net | |||||||||||||||
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Call For Papers | |||||||||||||||
“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: May 6,2020 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/ |
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