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Vol-1924
urn:nbn:de:0074-1924-6
Copyright ©
2017 for the individual papers
by the papers' authors. Copying permitted for private and academic purposes.
This volume is published and copyrighted by its editors.
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IAL 2017
Interactive Adaptive Learning
Proceedings of the Workshop and Tutorial on Interactive Adaptive Learning
co-located with European Conference on Machine Learning
and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2017)
Skopje, Macedonia, September 18, 2017.
Edited by
*
Otto von Guericke University,
Faculty of Computer Science, 39106 Magdeburg, Germany
**
Orange Labs France,
Research Laboratory, 8888 Technotown, Othercountry
***
Rowan University,
Research Laboratory, 08028 Glassboro, New Jersey
****
University of Kassel,
Faculty of Electrical Engineering and Computer Science, 34121 Kassel, Germany
Table of Contents
Invited Talk
Research Papers
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Challenges of Reliable, Realistic and Comparable Active Learning
Evaluation
2-14
Daniel Kottke,
Adrian Calma,
Denis Huseljic,
Georg Krempl,
Bernhard Sick
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Interactive Anonymization for Privacy aware Machine Learning
15-26
Bernd Malle,
Peter Kieseberg,
Andreas Holzinger
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Transfer Learning for Time Series Anomaly Detection
27-36
Vincent Vercruyssen,
Wannes Meert,
Jesse Davis
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Probabilistic Active Learning with Structure-Sensitive Kernels
37-48
Dominik Lang,
Daniel Kottke,
Georg Krempl
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Simulation of Annotators for Active Learning: Uncertain Oracles
49-58
Adrian Calma,
Bernhard Sick
Short Research Papers
2017-09-13: submitted by Adrian Calma,
metadata incl. bibliographic data published under Creative Commons CC0
2017-09-19: published on CEUR-WS.org
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