Kai Labusch

25 papers B 2Journal 7Unranked 15
YearRankTypeTitle / Venue / Authors
2025 — conf
Named Entity Uncertainty Mining: Von der intellektuellen zur computergestützten Untersuchung unsicherer Annotationen.
DHd
Sophie Schneider, Michal Bubula, Kai Labusch, Jörg Lehmann, Clemens Neudecker
2023 — conf
Document Layout Analysis with Deep Learning and Heuristics.
HIP@ICDAR
Vahid Rezanezhad, Konstantin Baierer, Mike Gerber, Kai Labusch, Clemens Neudecker
2023 — conf
Gauging the Limitations of Natural Language Supervised Text-Image Metrics Learning by Iconclass Visual Concepts.
HIP@ICDAR
Kai Labusch, Clemens Neudecker
2022 — conf
Entity Linking in Multilingual Newspapers and Classical Commentaries with BERT.
CLEF (Working Notes)
Kai Labusch, Clemens Neudecker
2020 — conf
Named Entity Disambiguation and Linking Historic Newspaper OCR with BERT.
CLEF (Working Notes)
Kai Labusch, Clemens Neudecker
2020 — conf
QURATOR: Innovative Technologies for Content and Data Curation.
Qurator
Georg Rehm, Peter Bourgonje, Stefanie Hegele, Florian Kintzel, Julián Moreno Schneider, Malte Ostendorff, Karolina Zaczynska, Armin Berger, Stefan Grill, Sören Räuchle, Jens Rauenbusch, Lisa Rutenburg, André Schmidt, Mikka Wild, Henry Hoffmann, Julian Fink, Sarah Schulz, Jurica Seva, Joachim Quantz, Joachim Böttger, Josefine Matthey, Rolf Fricke, Jan Thomsen, Adrian Paschke, Jamal Al Qundus, Thomas Hoppe, Naouel Karam, Frauke Weichhardt, Christian Fillies, Clemens Neudecker, Mike Gerber, Kai Labusch, Vahid Rezanezhad, Robin Schaefer, David Zellhöfer, Daniel Siewert, Patrick Bunk, Lydia Pintscher, Elena Aleynikova, Franziska Heine
2020 J jnl
QURATOR: Innovative Technologies for Content and Data Curation.
CoRR
Georg Rehm, Peter Bourgonje, Stefanie Hegele, Florian Kintzel, Julián Moreno Schneider, Malte Ostendorff, Karolina Zaczynska, Armin Berger, Stefan Grill, Sören Räuchle, Jens Rauenbusch, Lisa Rutenburg, André Schmidt, Mikka Wild, Henry Hoffmann, Julian Fink, Sarah Schulz, Jurica Seva, Joachim Quantz, Joachim Böttger, Josefine Matthey, Rolf Fricke, Jan Thomsen, Adrian Paschke, Jamal Al Qundus, Thomas Hoppe, Naouel Karam, Frauke Weichhardt, Christian Fillies, Clemens Neudecker, Mike Gerber, Kai Labusch, Vahid Rezanezhad, Robin Schaefer, David Zellhöfer, Daniel Siewert, Patrick Bunk, Lydia Pintscher, Elena Aleynikova, Franziska Heine
2019 — conf
BERT for Named Entity Recognition in Contemporary and Historic German.
KONVENS
Kai Labusch, Clemens Neudecker, David Zellhöfer
2012 — —
Soft-competitive learning of sparse data models.
Kai Labusch
2012 J jnl
Sparse Coding and Selected Applications.
Künstliche Intell.
Jens Hocke, Kai Labusch, Erhardt Barth, Thomas Martinetz
2011 J jnl
Robust and Fast Learning of Sparse Codes With Stochastic Gradient Descent.
IEEE J. Sel. Top. Signal Process.
Kai Labusch, Erhardt Barth, Thomas Martinetz
2011 J jnl
Soft-competitive learning of sparse codes and its application to image reconstruction.
Neurocomputing
Kai Labusch, Erhardt Barth, Thomas Martinetz
2010 — conf
Bag of Pursuits and Neural Gas for Improved Sparse Coding.
COMPSTAT
Kai Labusch, Erhardt Barth, Thomas Martinetz
2010 B conf
Learning sparse codes for image reconstruction.
ESANN
Kai Labusch, Thomas Martinetz
2010 — conf
Sparse Coding for Feature Selection on Genome-Wide Association Data.
ICANN (1)
Ingrid Brænne, Kai Labusch, Amir Madany Mamlouk
2009 — conf
Approaching the Time Dependent Cocktail Party Problem with Online Sparse Coding Neural Gas.
WSOM
Kai Labusch, Erhardt Barth, Thomas Martinetz
2009 J jnl
SoftDoubleMaxMinOver: Perceptron-Like Training of Support Vector Machines.
IEEE Trans. Neural Networks
Thomas Martinetz, Kai Labusch, Daniel Schneegaß
2009 J jnl
Sparse Coding Neural Gas: Learning of overcomplete data representations.
Neurocomputing
Kai Labusch, Erhardt Barth, Thomas Martinetz
2008 B conf
Learning Data Representations with Sparse Coding Neural Gas.
ESANN
Kai Labusch, Erhardt Barth, Thomas Martinetz
2008 — conf
Simple Incremental One-Class Support Vector Classification.
DAGM-Symposium
Kai Labusch, Fabian Timm, Thomas Martinetz
2008 J jnl
Simple Method for High-Performance Digit Recognition Based on Sparse Coding.
IEEE Trans. Neural Networks
Kai Labusch, Erhardt Barth, Thomas Martinetz
2008 — conf
Sparse Coding Neural Gas for the Separation of Noisy Overcomplete Sources.
ICANN (1)
Kai Labusch, Erhardt Barth, Thomas Martinetz
2007 — conf
Learning optimal features for visual pattern recognition.
Human Vision and Electronic Imaging
Kai Labusch, Udo Siewert, Thomas Martinetz, Erhardt Barth
2006 — conf
MaxMinOver Regression: A Simple Incremental Approach for Support Vector Function Approximation.
ICANN (1)
Daniel Schneegaß, Kai Labusch, Thomas Martinetz
2005 — conf
SoftDoubleMinOver: A Simple Procedure for Maximum Margin Classification.
ICANN (2)
Thomas Martinetz, Kai Labusch, Daniel Schneegaß