Stefan Klampfl

Publication Activity (10 Years)

Years Active: 2006-2016
Publications (10 Years): 4

Top Topics

Logical Structure

Experiential Knowledge

Authorship Attribution

Top Venues

SemWebEval@ESWC

Publications

Stefan Klampfl, Roman Kern
Reconstructing the Logical Structure of a Scientific Publication Using Machine Learning. SemWebEval@ESWC (2016)
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)
Stefan Klampfl, Andi Rexha, Roman Kern
Identifying Referenced Text in Scientific Publications by Summarisation and Classification Techniques. BIRNDL@JCDL (2016)
Oliver Pimas, Stefan Klampfl, Thomas Kohl, Roman Kern, Mark Kröll
Generating Tailored Classification Schemas for German Patents. NLDB (2016)
Stefan Klampfl, Roman Kern
Machine Learning Techniques for Automatically Extracting Contextual Information from Scientific Publications. SemWebEval@ESWC (2015)
Andi Rexha, Stefan Klampfl, Mark Kröll, Roman Kern
Towards Authorship Attribution for Bibliometrics using Stylometric Features. CLBib@ISSI (2015)
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)
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)
Stefan Klampfl, Michael Granitzer, Kris Jack, Roman Kern
Unsupervised document structure analysis of digital scientific articles. Int. J. Digit. Libr. 14 (3-4) (2014)
Roman Kern, Stefan Klampfl
Extraction of References Using Layout and Formatting Information from Scientific Articles. D Lib Mag. 19 (9/10) (2013)
Stefan Klampfl, Roman Kern
An Unsupervised Machine Learning Approach to Body Text and Table of Contents Extraction from Digital Scientific Articles. TPDL (2013)
Roman Kern, Stefan Klampfl, Mario Zechner
Vote/Veto Classification, Ensemble Clustering and Sequence Classification for Author Identification. CLEF (Online Working Notes/Labs/Workshop) (2012)
Stefan Klampfl, Wolfgang Maass
A Theoretical Basis for Emergent Pattern Discrimination in Neural Systems Through Slow Feature Extraction. Neural Comput. 22 (12) (2010)
Stefan Klampfl, Robert Legenstein, Wolfgang Maass
Spiking Neurons Can Learn to Solve Information Bottleneck Problems and Extract Independent Components. Neural Comput. 21 (4) (2009)
Stefan Klampfl, Wolfgang Maass
Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks. NIPS (2009)
Stefan Klampfl, Robert Legenstein, Wolfgang Maass
Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons. NIPS (2006)