Ludwig Lausser

According to our database, Ludwig Lausser authored at least 36 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Unsupervised domain adaptation for the detection of cardiomegaly in cross-domain chest X-ray images.

Patrick Thiam, Ludwig Lausser, Christopher Kloth, Daniel Blaich, Andreas Liebold, Meinrad Beer, Hans A. Kestler

Frontiers Artif. Intell., February, 2023

Identifying Key Features in Aggregated Real-Life AIS-Messages for Classification of Maritime Vessels by Random Forests.

Max J. Krüger, Ludwig Lausser

Proceedings of the 26th International Conference on Information Fusion, 2023

2022

Response to the letter to the editor: On the feasibility of dynamical analysis of network models of biochemical regulation.

Felix M. Weidner, Julian D. Schwab, Silke D. Werle, Nensi Ikonomi, Ludwig Lausser, Hans A. Kestler

Bioinform., 2022

2021

Capturing dynamic relevance in Boolean networks using graph theoretical measures.

Felix M. Weidner, Julian D. Schwab, Silke D. Werle, Nensi Ikonomi, Ludwig Lausser, Hans A. Kestler

Bioinform., 2021

A perceptually optimised bivariate visualisation scheme for high-dimensional fold-change data.

André Müller, Ludwig Lausser, Adalbert F. X. Wilhelm, Timo Ropinski, Matthias Platzer, Heiko Neumann, Hans A. Kestler

Adv. Data Anal. Classif., 2021

2020

Detecting Ordinal Subcascades.

Ludwig Lausser, Lisa M. Schäfer, Silke D. Kühlwein, Angelika M. R. Kestler, Hans A. Kestler

Neural Process. Lett., 2020

Chained correlations for feature selection.

Ludwig Lausser, Robin Szekely, Hans A. Kestler

Adv. Data Anal. Classif., 2020

Experimental Analysis of Bidirectional Pairwise Ordinal Classifier Cascades.

Peter Bellmann, Ludwig Lausser, Hans A. Kestler, Friedhelm Schwenker

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020

Introducing Bidirectional Ordinal Classifier Cascades Based on a Pain Intensity Recognition Scenario.

Peter Bellmann, Ludwig Lausser, Hans A. Kestler, Friedhelm Schwenker

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2018

The Influence of Multi-class Feature Selection on the Prediction of Diagnostic Phenotypes.

Ludwig Lausser, Robin Szekely, Lyn-Rouven Schirra, Hans A. Kestler

Neural Process. Lett., 2018

Big data and precision medicine: challenges and strategies with healthcare data.

Johann M. Kraus, Ludwig Lausser, Peter Kuhn, Franz Jobst, Michaela Bock, Carolin Halanke, Michael Hummel, Peter Heuschmann, Hans A. Kestler

Int. J. Data Sci. Anal., 2018

3D Network exploration and visualisation for lifespan data.

Rolf Hühne, Viktor Kessler, Axel Fürstberger, Silke D. Kühlwein, Matthias Platzer, Jürgen Sühnel, Ludwig Lausser, Hans A. Kestler

BMC Bioinform., 2018

Rank-based classifiers for extremely high-dimensional gene expression data.

Ludwig Lausser, Florian Schmid, Lyn-Rouven Schirra, Adalbert F. X. Wilhelm, Hans A. Kestler

Adv. Data Anal. Classif., 2018

Selecting Features from Foreign Classes.

Ludwig Lausser, Robin Szekely, Viktor Kessler, Friedhelm Schwenker, Hans A. Kestler

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018

2017

Semantic Biomarker Selection for Functional Genomics of Heart Failure Model Organisms.

Ludwig Lausser, Steffen Just, Wolfgang Rottbauer, Hans A. Kestler

Proceedings of the Computing in Cardiology, 2017

2016

BiTrinA - multiscale binarization and trinarization with quality analysis.

Christoph Müssel, Florian Schmid, Tamara J. Blätte, Martin Hopfensitz, Ludwig Lausser, Hans A. Kestler

Bioinform., 2016

Interpretable Classifiers in Precision Medicine: Feature Selection and Multi-class Categorization.

Lyn-Rouven Schirra, Florian Schmid, Hans A. Kestler, Ludwig Lausser

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2016

2015

Sputnik: <i>ad hoc</i> distributed computation.

Gunnar Völkel, Ludwig Lausser, Florian Schmid, Johann M. Kraus, Hans A. Kestler

Bioinform., 2015

Detecting Ordinal Class Structures.

Raphael Lattke, Ludwig Lausser, Christoph Müssel, Hans A. Kestler

Proceedings of the Multiple Classifier Systems - 12th International Workshop, 2015

2014

Unlabeling data can improve classification accuracy.

Ludwig Lausser, Florian Schmid, Matthias Schmid, Hans A. Kestler

Pattern Recognit. Lett., 2014

Identifying predictive hubs to condense the training set of (k)-nearest neighbour classifiers.

Ludwig Lausser, Christoph Müssel, Alexander Melkozerov, Hans A. Kestler

Comput. Stat., 2014

Selection Stability as a Means of Biomarker Discovery in Classification.

Lyn-Rouven Schirra, Ludwig Lausser, Hans A. Kestler

Proceedings of the Analysis of Large and Complex Data, 2014

Linear Contrast Classifiers in High-Dimensional Spaces.

Florian Schmid, Ludwig Lausser, Hans A. Kestler

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2014

2013

Measuring and visualizing the stability of biomarker selection techniques.

Ludwig Lausser, Christoph Müssel, Markus Maucher, Hans A. Kestler

Comput. Stat., 2013

Robuste Klassifikationsverfahren für hochdimensionale Datensätze.

Ludwig Lausser

Proceedings of the Ausgezeichnete Informatikdissertationen 2013, 2013

Ensembles of Representative Prototype Sets for Classification and Data Set Analysis.

Christoph Müssel, Ludwig Lausser, Hans A. Kestler

Proceedings of the Data Science, 2013

Sparse and robust classification methods for high-dimensional datasets.

Ludwig Maximilian Lausser

PhD thesis, 2013

2012

Three Transductive Set Covering Machines.

Florian Schmid, Ludwig Lausser, Hans A. Kestler

Proceedings of the Data Analysis, Machine Learning and Knowledge Discovery, 2012

Rank Aggregation for Candidate Gene Identification.

Andre Burkovski, Ludwig Lausser, Johann M. Kraus, Hans A. Kestler

Proceedings of the Data Analysis, Machine Learning and Knowledge Discovery, 2012

Representative Prototype Sets for Data Characterization and Classification.

Ludwig Lausser, Christoph Müssel, Hans A. Kestler

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2012

2011

On the fusion of threshold classifiers for categorization and dimensionality reduction.

Hans A. Kestler, Ludwig Lausser, Wolfgang Lindner, Günther Palm

Comput. Stat., 2011

On the Utility of Partially Labeled Data for Classification of Microarray Data.

Ludwig Lausser, Florian Schmid, Hans A. Kestler

Proceedings of the Partially Supervised Learning - First IAPR TC3 Workshop, 2011

2010

Feature Reduction and Nearest Neighbours.

Ludwig Lausser, Christoph Müssel, Markus Maucher, Hans A. Kestler

Proceedings of the Challenges at the Interface of Data Analysis, Computer Science, and Optimization - Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21, 2010

Robustness Analysis of Eleven Linear Classifiers in Extremely High-Dimensional Feature Spaces.

Ludwig Lausser, Hans A. Kestler

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2010

2008

Detecting zebra crossings utilizing AdaBoost.

Ludwig Lausser, Friedhelm Schwenker, Günther Palm

Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

Boosting Threshold Classifiers for High- Dimensional Data in Functional Genomics.

Ludwig Lausser, Malte Buchholz, Hans A. Kestler

Proceedings of the Artificial Neural Networks in Pattern Recognition, Third IAPR Workshop, 2008