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ORCIDStefan Klampfl
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2010 – 2019
- 2016
[c10]Andi Rexha, Stefan Klampfl, Mark Kröll, Roman Kern:
Towards a More Fine Grained Analysis of Scientific Authorship: Predicting the Number of Authors Using Stylometric Features. BIR@ECIR 2016: 26-31- [c9]Stefan Klampfl, Roman Kern
:
Reconstructing the Logical Structure of a Scientific Publication Using Machine Learning. SemWebEval@ESWC 2016: 255-268 - [c8]Stefan Klampfl, Andi Rexha, Roman Kern:
Identifying Referenced Text in Scientific Publications by Summarisation and Classification Techniques. BIRNDL@JCDL 2016: 122-131 - [c7]Oliver Pimas, Stefan Klampfl, Thomas Kohl, Roman Kern, Mark Kröll:
Generating Tailored Classification Schemas for German Patents. NLDB 2016: 230-238 - 2015
- [c6]Stefan Klampfl, Roman Kern:
Machine Learning Techniques for Automatically Extracting Contextual Information from Scientific Publications. SemWebEval@ESWC 2015: 105-116 - [c5]Andi Rexha, Stefan Klampfl, Mark Kröll, Roman Kern:
Towards Authorship Attribution for Bibliometrics using Stylometric Features. CLBib@ISSI 2015: 44-49 - 2014
- [j6]Stefan Klampfl, Kris Jack, Roman Kern:
A Comparison of Two Unsupervised Table Recognition Methods from Digital Scientific Articles. D Lib Mag. 20(11/12) (2014) - [j5]Mark Kröll, Stefan Klampfl, Roman Kern:
Towards a Marketplace for the Scientific Community: Accessing Knowledge from the Computer Science Domain. D Lib Mag. 20(11/12) (2014) - [j4]Stefan Klampfl, Michael Granitzer, Kris Jack, Roman Kern:
Unsupervised document structure analysis of digital scientific articles. Int. J. Digit. Libr. 14(3-4): 83-99 (2014) - 2013
- [j3]Roman Kern, Stefan Klampfl:
Extraction of References Using Layout and Formatting Information from Scientific Articles. D Lib Mag. 19(9/10) (2013) - [c4]Stefan Klampfl, Roman Kern:
An Unsupervised Machine Learning Approach to Body Text and Table of Contents Extraction from Digital Scientific Articles. TPDL 2013: 144-155 - 2012
- [c3]Roman Kern, Stefan Klampfl, Mario Zechner:
Vote/Veto Classification, Ensemble Clustering and Sequence Classification for Author Identification. CLEF (Online Working Notes/Labs/Workshop) 2012 - 2010
- [j2]Stefan Klampfl, Wolfgang Maass:
A Theoretical Basis for Emergent Pattern Discrimination in Neural Systems Through Slow Feature Extraction. Neural Comput. 22(12): 2979-3035 (2010)
2000 – 2009
- 2009
- [j1]Stefan Klampfl, Robert Legenstein, Wolfgang Maass:
Spiking Neurons Can Learn to Solve Information Bottleneck Problems and Extract Independent Components. Neural Comput. 21(4): 911-959 (2009) - [c2]Stefan Klampfl, Wolfgang Maass:
Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks. NIPS 2009: 988-996 - 2006
- [c1]Stefan Klampfl, Robert Legenstein, Wolfgang Maass:
Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons. NIPS 2006: 713-720
Coauthor Index
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