"Augmenting Human Intelligence with Artificial Intelligence" Submission deadline extended until April 22, 2019 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 2019 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<https://cd-make.net/> Submission link https://easychair.org/conferences/?conf=cdmake2019 Extended Submission Deadline: April, 8, 2019 April 22, 2019 Author Notification: May, 24, 2019 - Author registration before June 13, 2019 Camera Ready Deadline (hard deadline): June, 23, 2019 Conference: August, 26-29, 2019 **** HIGHLIGTHS **** KEYNOTES Wojciech Samek, Machine Learning Group at Fraunhofer Heinrich Hertz Institute Titel: Explainable Artificial Intelligence - Methods, Applications & Recent Developments Awais Rashid, Professor of Cyber Security, University of Bristol Title: tba Alastair MacWillson, Cambridge-Analytica Research Title: tba SOCIAL EVENTS Official Welcome Reception on Monday, August 26, 2019 / Canterbury City Tour incl. Visit of the Canterbury Cathedral on Tuseday, August 27, 2019 / Official Conference Dinner and Visit of Dover Castle & Dover White Cliffs on Wednesday, August 28, 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 - given acceptance - 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-decisio...