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Journal Articles
- 2014
[j8]Helmuth Pree, Benjamin Herwig, Thiemo Gruber, Bernhard Sick
, Klaus David, Paul Lukowicz:
On general purpose time series similarity measures and their use as kernel functions in support vector machines. Inf. Sci. 281: 478-495 (2014)- 2013
- [j7]Paul Kaufmann, Kyrre Glette, Thiemo Gruber, Marco Platzner, Jim Tørresen, Bernhard Sick:
Classification of Electromyographic Signals: Comparing Evolvable Hardware to Conventional Classifiers. IEEE Trans. Evol. Comput. 17(1): 46-63 (2013) - 2012
- [j6]Thiemo Gruber, Britta Meixner, Johann Prosser, Bernhard Sick:
Handedness tests for preschool children: A novel approach based on graphics tablets and support vector machines. Appl. Soft Comput. 12(4): 1390-1398 (2012) - 2011
- [j5]Dominik Fisch, Thiemo Gruber, Bernhard Sick:
SwiftRule: Mining Comprehensible Classification Rules for Time Series Analysis. IEEE Trans. Knowl. Data Eng. 23(5): 774-787 (2011) - 2010
- [j4]Erich Fuchs, Thiemo Gruber, Helmuth Pree, Bernhard Sick:
Temporal data mining using shape space representations of time series. Neurocomputing 74(1-3): 379-393 (2010) - [j3]Erich Fuchs, Thiemo Gruber, Jiri Nitschke, Bernhard Sick:
Online Segmentation of Time Series Based on Polynomial Least-Squares Approximations. IEEE Trans. Pattern Anal. Mach. Intell. 32(12): 2232-2245 (2010) - [j2]Christian Gruber, Thiemo Gruber, Sebastian Krinninger, Bernhard Sick:
Online Signature Verification With Support Vector Machines Based on LCSS Kernel Functions. IEEE Trans. Syst. Man Cybern. Part B 40(4): 1088-1100 (2010) - 2009
- [j1]Erich Fuchs, Thiemo Gruber, Jiri Nitschke, Bernhard Sick:
On-line motif detection in time series with SwiftMotif. Pattern Recognit. 42(11): 3015-3031 (2009)
Conference and Workshop Papers
- 2015
- [c6]Andre Gensler, Thiemo Gruber, Bernhard Sick:
Fast Feature Extraction for Time Series Analysis Using Least-Squares Approximations with Orthogonal Basis Functions. TIME 2015: 29-37 - 2013
- [c5]Andre Gensler, Thiemo Gruber, Bernhard Sick:
Blazing Fast Time Series Segmentation Based on Update Techniques for Polynomial Approximations. ICDM Workshops 2013: 1002-1011 - 2012
- [c4]Mark J. Embrechts, Christopher J. Gatti, Jonathan D. Linton, Thiemo Gruber, Bernhard Sick:
Forecasting exchange rates with ensemble neural networks and ensemble K-PLS: A case study for the US Dollar per Indian Rupee. IJCNN 2012: 1-8 - 2010
- [c3]Ulf Blanke, Bernt Schiele, Matthias Kreil, Paul Lukowicz, Bernhard Sick, Thiemo Gruber:
All for one or one for all? Combining heterogeneous features for activity spotting. PerCom Workshops 2010: 18-24 - 2008
- [c2]Kyrre Glette, Jim Tørresen, Thiemo Gruber, Bernhard Sick, Paul Kaufmann, Marco Platzner:
Comparing Evolvable Hardware to Conventional Classifiers for Electromyographic Prosthetic Hand Control. AHS 2008: 32-39 - 2006
- [c1]Christian Gruber, Thiemo Gruber, Bernhard Sick:
Online Signature Verification with New Time Series Kernels for Support Vector Machines. ICB 2006: 500-508
Parts in Books or Collections
- 2012
- [p1]Thiemo Gruber:
Analyse von Zeitreihen unter Verwendung orthogonaler Polynome am Beispiel der Online-Motivsuche und ihrer Anwendungen. Ausgezeichnete Informatikdissertationen 2012: 131-140
Coauthor Index
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