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

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    Website https://cd-make.net/ | Want to Edit it 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

    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


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.