Ludwig Lausser

39 papers B 1C 1Journal 19Unranked 17
YearRankTypeTitle / Venue / Authors
2025 J jnl
Benchmarking Foundation Models for Mitotic Figure Classification.
CoRR
Jonas Ammeling, Jonathan Ganz, Emely Rosbach, Ludwig Lausser, Christof A. Bertram, Katharina Breininger, Marc Aubreville
2025 — conf
Is Self-supervision Enough? - Benchmarking Foundation Models Against End-to-end Training for Mitotic Figure Classification.
Bildverarbeitung für die Medizin
Jonathan Ganz, Jonas Ammeling, Emely Rosbach, Ludwig Lausser, Christof A. Bertram, Katharina Breininger, Marc Aubreville
2024 J jnl
Is Self-Supervision Enough? Benchmarking Foundation Models Against End-to-End Training for Mitotic Figure Classification.
CoRR
Jonathan Ganz, Jonas Ammeling, Emely Rosbach, Ludwig Lausser, Christof A. Bertram, Katharina Breininger, Marc Aubreville
2024 J jnl
Permutation-invariant linear classifiers.
Mach. Learn.
Ludwig Lausser, Robin Szekely, Hans A. Kestler
2023 C conf
Identifying Key Features in Aggregated Real-Life AIS-Messages for Classification of Maritime Vessels by Random Forests.
FUSION
Max J. Krüger, Ludwig Lausser
2023 J jnl
Unsupervised domain adaptation for the detection of cardiomegaly in cross-domain chest X-ray images.
Frontiers Artif. Intell.
Patrick Thiam, Ludwig Lausser, Christopher Kloth, Daniel Blaich, Andreas Liebold, Meinrad Beer, Hans A. Kestler
2022 J jnl
Response to the letter to the editor: On the feasibility of dynamical analysis of network models of biochemical regulation.
Bioinform.
Felix M. Weidner, Julian D. Schwab, Silke D. Werle, Nensi Ikonomi, Ludwig Lausser, Hans A. Kestler
2021 J jnl
A perceptually optimised bivariate visualisation scheme for high-dimensional fold-change data.
Adv. Data Anal. Classif.
André Müller, Ludwig Lausser, Adalbert F. X. Wilhelm, Timo Ropinski, Matthias Platzer, Heiko Neumann, Hans A. Kestler
2021 J jnl
Capturing dynamic relevance in Boolean networks using graph theoretical measures.
Bioinform.
Felix M. Weidner, Julian D. Schwab, Silke D. Werle, Nensi Ikonomi, Ludwig Lausser, Hans A. Kestler
2020 J jnl
Chained correlations for feature selection.
Adv. Data Anal. Classif.
Ludwig Lausser, Robin Szekely, Hans A. Kestler
2020 J jnl
Detecting Ordinal Subcascades.
Neural Process. Lett.
Ludwig Lausser, Lisa M. Schäfer, Silke D. Kühlwein, Angelika M. R. Kestler, Hans A. Kestler
2020 — conf
Experimental Analysis of Bidirectional Pairwise Ordinal Classifier Cascades.
S+SSPR
Peter Bellmann, Ludwig Lausser, Hans A. Kestler, Friedhelm Schwenker
2020 — conf
Introducing Bidirectional Ordinal Classifier Cascades Based on a Pain Intensity Recognition Scenario.
ICPR Workshops (6)
Peter Bellmann, Ludwig Lausser, Hans A. Kestler, Friedhelm Schwenker
2018 J jnl
3D Network exploration and visualisation for lifespan data.
BMC Bioinform.
Rolf Hühne, Viktor Kessler, Axel Fürstberger, Silke D. Kühlwein, Matthias Platzer, Jürgen Sühnel, Ludwig Lausser, Hans A. Kestler
2018 J jnl
Big data and precision medicine: challenges and strategies with healthcare data.
Int. J. Data Sci. Anal.
Johann M. Kraus, Ludwig Lausser, Peter Kuhn, Franz Jobst, Michaela Bock, Carolin Halanke, Michael Hummel, Peter Heuschmann, Hans A. Kestler
2018 J jnl
Rank-based classifiers for extremely high-dimensional gene expression data.
Adv. Data Anal. Classif.
Ludwig Lausser, Florian Schmid, Lyn-Rouven Schirra, Adalbert F. X. Wilhelm, Hans A. Kestler
2018 — conf
Selecting Features from Foreign Classes.
ANNPR
Ludwig Lausser, Robin Szekely, Viktor Kessler, Friedhelm Schwenker, Hans A. Kestler
2018 J jnl
The Influence of Multi-class Feature Selection on the Prediction of Diagnostic Phenotypes.
Neural Process. Lett.
Ludwig Lausser, Robin Szekely, Lyn-Rouven Schirra, Hans A. Kestler
2017 — conf
Semantic Biomarker Selection for Functional Genomics of Heart Failure Model Organisms.
CinC
Ludwig Lausser, Steffen Just, Wolfgang Rottbauer, Hans A. Kestler
2016 J jnl
BiTrinA - multiscale binarization and trinarization with quality analysis.
Bioinform.
Christoph Müssel, Florian Schmid, Tamara J. Blätte, Martin Hopfensitz, Ludwig Lausser, Hans A. Kestler
2016 — conf
Interpretable Classifiers in Precision Medicine: Feature Selection and Multi-class Categorization.
ANNPR
Lyn-Rouven Schirra, Florian Schmid, Hans A. Kestler, Ludwig Lausser
2015 — conf
Detecting Ordinal Class Structures.
MCS
Raphael Lattke, Ludwig Lausser, Christoph Müssel, Hans A. Kestler
2015 J jnl
Sputnik:
Bioinform.
Gunnar Völkel, Ludwig Lausser, Florian Schmid, Johann M. Kraus, Hans A. Kestler
2014 J jnl
Identifying predictive hubs to condense the training set of (k)-nearest neighbour classifiers.
Comput. Stat.
Ludwig Lausser, Christoph Müssel, Alexander Melkozerov, Hans A. Kestler
2014 — conf
Linear Contrast Classifiers in High-Dimensional Spaces.
ANNPR
Florian Schmid, Ludwig Lausser, Hans A. Kestler
2014 — conf
Selection Stability as a Means of Biomarker Discovery in Classification.
ECDA
Lyn-Rouven Schirra, Ludwig Lausser, Hans A. Kestler
2014 J jnl
Unlabeling data can improve classification accuracy.
Pattern Recognit. Lett.
Ludwig Lausser, Florian Schmid, Matthias Schmid, Hans A. Kestler
2013 — conf
Ensembles of Representative Prototype Sets for Classification and Data Set Analysis.
ECDA
Christoph Müssel, Ludwig Lausser, Hans A. Kestler
2013 J jnl
Measuring and visualizing the stability of biomarker selection techniques.
Comput. Stat.
Ludwig Lausser, Christoph Müssel, Markus Maucher, Hans A. Kestler
2013 — ch.
Robuste Klassifikationsverfahren für hochdimensionale Datensätze.
Ausgezeichnete Informatikdissertationen
Ludwig Lausser
2012 — conf
Rank Aggregation for Candidate Gene Identification.
GfKl
Andre Burkovski, Ludwig Lausser, Johann M. Kraus, Hans A. Kestler
2012 — conf
Representative Prototype Sets for Data Characterization and Classification.
ANNPR
Ludwig Lausser, Christoph Müssel, Hans A. Kestler
2012 — conf
Three Transductive Set Covering Machines.
GfKl
Florian Schmid, Ludwig Lausser, Hans A. Kestler
2011 — conf
On the Utility of Partially Labeled Data for Classification of Microarray Data.
PSL
Ludwig Lausser, Florian Schmid, Hans A. Kestler
2011 J jnl
On the fusion of threshold classifiers for categorization and dimensionality reduction.
Comput. Stat.
Hans A. Kestler, Ludwig Lausser, Wolfgang Lindner, Günther Palm
2010 — conf
Feature Reduction and Nearest Neighbours.
GfKl
Ludwig Lausser, Christoph Müssel, Markus Maucher, Hans A. Kestler
2010 — conf
Robustness Analysis of Eleven Linear Classifiers in Extremely High-Dimensional Feature Spaces.
ANNPR
Ludwig Lausser, Hans A. Kestler
2008 — conf
Boosting Threshold Classifiers for High- Dimensional Data in Functional Genomics.
ANNPR
Ludwig Lausser, Malte Buchholz, Hans A. Kestler
2008 B conf
Detecting zebra crossings utilizing AdaBoost.
ESANN
Ludwig Lausser, Friedhelm Schwenker, Günther Palm