Successful Machine Learning needs a concerted international effort without boundaries, supporting collaborative and integrative cross-disciplinary research between experts from seven fields: (1) data science, (2) machine learning, (3) network science, (4) graphs/topology, (5) time/entropy, (6) data visualization, and last but not least (7) privacy, data protection, safety and security. The ultimate goal of this conference is to bring together researchers from these diverse areas in a cross-disciplinary manner, to stimulate fresh ideas and encourage multi-disciplinary problem solving.
CONFERENCE SCOPE Papers are sought from the seven topical areas but always with the big picture in mind and justifying how your view may contribute to an overall solution. Papers which deal with fundamental research questions and theoretical aspects in machine learning are very welcome.
NOTE: This conference shall bring exclusive benefits for the participants and the presented papers shall be of archival value on the desks and benches of both scientists, industrial practitioners, teachers and students to stimulate further scientific research, practical applications and business solutions. Ideally the participants will benefit from further work on joint projects at national, European, and international level.
Motto of the conference: Science is to test crazy ideas – Engineering is to put these ideas into Business.
IMPORTANT DATES Paper Submission Deadline: May 7, 2018 Author Notification: June, 01 2018 Author Registration (latest): June, 15, 2018 Camera Ready (hard deadline!): June 27, 2018 Conference: August 27 - 30, 2018
All the best, Andreas Holzinger and the ARES & CD-MAKE team
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