Organic Computing

Doctoral Dissertation Colloquium 2017

Tomforde, Sven / Sick, Bernhard (Editor)

Mit Beiträgen von Al-Falouji, Ghassan / Beyer, Christian / Bieshaar, Maarten / Calma, Adrian / Heck, Henner / Kottke, Daniel / Nilkens, Andreas / Sick, Bernhard / Tomforde, Sven / Würtz, Rolf P.

kassel university press, ISBN: 978-3-7376-0514-4, 2018, 112 Pages
(Intelligent Embedded Systems 11)

URN: urn:nbn:de:0002-405157

DOI: 10.19211/KUP9783737605151

| Price and available forms -->

Content: This book presents the results of the OC-DDC 2017. Successful participants have been invited to extend their abstracts submitted to the event towards a full book chapter by taking reviews and feedback received at the event in Bochum into account. Seven of the participants prepared a contribution to this book, helped to perform a sophisticated review process, and finally came up with interesting articles summarising their current work in the context of Organic Computing. Hence, the book also gives an overview of corresponding research activities in the field in Germany for the year 2017. The collection of contributions reflects the diversity of the different aspects of Organic Computing. Furthermore, group discussions during the OC-DDC resulted in a contribution that aggregates the ideas of the participants related to applied machine learning for Organic Computing systems.

Table of Content

Tomforde, Sven /
Sick, Bernhard:
Preface
Tomforde, Sven:Invited Keynote: An Organic Computing Approach to Resilient Traffic Management

Part I: Contributions from the OC-DDC
Al-Falouji, Ghassan:Autonomic Success Estimation of Teeth Brushing Processes using the Smart iBrush System
Beyer, Christian:Stream Mining Methods for Prediction on Trajectories of Medical Data
Bieshaar, Maarten:Where is my Device? Detecting the Smart Device’s Wearing Location in the Context of Active Safety for Vulnerable Road Users
Calma, Adrian:Case Study on Pool-based Active Learning with Human Oracles
Heck, Henner:k-Resilient Communication Schemes for Self-Organising Systems
Kottke, Daniel:Enhanced Probabilistic Active Learning Cost-sensitive, Unbalanced, Time-variant, Self-optimising, and Parameter-free
Nilkens, Andreas:Self-Organised Integration of Computer Vision. Algorithms Organic Face Graph Classification

Part II: Result of theWorking Groups
Würtz, Rolf P. /
Tomforde, Sven /
Calma, Adrian /
Kottke, Daniel /
Sick, Bernhard:
Interactive Learning Without Ground Truth

Publication is available in following forms:

Full text (pdf-file, printable, with costs - 2.40 MB) 29.00 Euro
(free of charge in kassel University network - you are in kassel University network if you are in the workplace, or you are using a pc in the ITS or in the library)
download PDF - Attention! with costs, because you are not in kassel University network!