Stefan Klampfl

16 papers B 1C 1Journal 6Unranked 8
YearRankTypeTitle / Venue / Authors
2016 C conf
Generating Tailored Classification Schemas for German Patents.
NLDB
Oliver Pimas, Stefan Klampfl, Thomas Kohl, Roman Kern, Mark Kröll
2016 — conf
Identifying Referenced Text in Scientific Publications by Summarisation and Classification Techniques.
BIRNDL@JCDL
Stefan Klampfl, Andi Rexha, Roman Kern
2016 — conf
Reconstructing the Logical Structure of a Scientific Publication Using Machine Learning.
SemWebEval@ESWC
Stefan Klampfl, Roman Kern
2016 — conf
Towards a More Fine Grained Analysis of Scientific Authorship: Predicting the Number of Authors Using Stylometric Features.
BIR@ECIR
Andi Rexha, Stefan Klampfl, Mark Kröll, Roman Kern
2015 — conf
Machine Learning Techniques for Automatically Extracting Contextual Information from Scientific Publications.
SemWebEval@ESWC
Stefan Klampfl, Roman Kern
2015 — conf
Towards Authorship Attribution for Bibliometrics using Stylometric Features.
CLBib@ISSI
Andi Rexha, Stefan Klampfl, Mark Kröll, Roman Kern
2014 J jnl
A Comparison of Two Unsupervised Table Recognition Methods from Digital Scientific Articles.
D Lib Mag.
Stefan Klampfl, Kris Jack, Roman Kern
2014 J jnl
Towards a Marketplace for the Scientific Community: Accessing Knowledge from the Computer Science Domain.
D Lib Mag.
Mark Kröll, Stefan Klampfl, Roman Kern
2014 J jnl
Unsupervised document structure analysis of digital scientific articles.
Int. J. Digit. Libr.
Stefan Klampfl, Michael Granitzer, Kris Jack, Roman Kern
2013 B conf
An Unsupervised Machine Learning Approach to Body Text and Table of Contents Extraction from Digital Scientific Articles.
TPDL
Stefan Klampfl, Roman Kern
2013 J jnl
Extraction of References Using Layout and Formatting Information from Scientific Articles.
D Lib Mag.
Roman Kern, Stefan Klampfl
2012 — conf
Vote/Veto Classification, Ensemble Clustering and Sequence Classification for Author Identification.
CLEF (Online Working Notes/Labs/Workshop)
Roman Kern, Stefan Klampfl, Mario Zechner
2010 J jnl
A Theoretical Basis for Emergent Pattern Discrimination in Neural Systems Through Slow Feature Extraction.
Neural Comput.
Stefan Klampfl, Wolfgang Maass
2009 — conf
Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks.
NIPS
Stefan Klampfl, Wolfgang Maass
2009 J jnl
Spiking Neurons Can Learn to Solve Information Bottleneck Problems and Extract Independent Components.
Neural Comput.
Stefan Klampfl, Robert Legenstein, Wolfgang Maass
2006 — conf
Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons.
NIPS
Stefan Klampfl, Robert Legenstein, Wolfgang Maass