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Number of items: 7.


Schaab, Jochen (2011):
Trusted Health Assessment of Dynamic Systems Based on Hybrid Joint Estimation.
Düsseldorf, VDI Verlag, Institut für Flugsysteme und Regelungstechnik, In: Fortschritt-Berichte VDI, 8, ISBN 978-3-18-518108-5,
[Ph.D. Thesis]


Grothe, Christian and Schaab, Jochen (2009):
Automated Footprint Generation from Geotags with Kernel Density Estimation and Support Vector Machines.
In: Spatial Cognition & Computation - Special Issue: Computational Models of Place, Taylor & Francis, [Book Section]


Grothe, Christian and Schaab, Jochen (2008):
An Evaluation of Kernel Density Estimation and Support Vector Machines for Automated Generation of Footprints for Imprecise Regions from Geotags.
Utah, In: International Workshop on Computational Models of Place (PLACE'08) held in conjunction with GIScience 2008, [Conference or Workshop Item]

Schaab, Jochen and Harrington, M. (2008):
Actuation Systems.
London, In: Aircraft Health Management for New Operational and Enterprise Solutions, [Conference or Workshop Item]


Schaab, Jochen and Harrington, M. and Klingauf, Uwe (2007):
On-Board health assessment of an electro-mechanical actuator using wavelet features.
Berlin, In: First CEAS European Air and Space Conference, [Conference or Workshop Item]


Vogt, Michael and Moissl, Ulrich and Schaab, Jochen (2006):
Heart Rate Classification Using Support Vector Machines.
In: From Data and Information Analysis to Knowledge Engineering : Proceedings of the 29th Annual Conference of The Gesellschaft für Klassifikation e.V., University of Magdeburg, March 9-11, 2005. With ... 120 tables / Myra Spiliopoulou ... (eds)., Berlin ; Heidelberg [u.a.], Springer, pp. 716-723, [Online-Edition: http://dx.doi.org/10.1007/3-540-31314-1],
[Book Section]


Schaab, Jochen and Münchhof, Marco and Vogt, Michael and Isermann, Rolf (2005):
Identification of a Hydraulic Servo-Axis Using Support Vector Machines.
In: 7th IFAC World Congress, Prag, 4.-8. Juli 2005, [Conference or Workshop Item]

This list was generated on Tue Oct 22 02:24:02 2019 CEST.