Ludwig Lausser

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 17

Top Topics

Feature Selection

Gene Expression

Nearest Neighbour

Top Venues

Adv. Data Anal. Classif.

Publications

Max J. Krüger, Ludwig Lausser
Identifying Key Features in Aggregated Real-Life AIS-Messages for Classification of Maritime Vessels by Random Forests. FUSION (2023)
Patrick Thiam, Ludwig Lausser, Christopher Kloth, Daniel Blaich, Andreas Liebold, Meinrad Beer, Hans A. Kestler
Unsupervised domain adaptation for the detection of cardiomegaly in cross-domain chest X-ray images. Frontiers Artif. Intell. 6 (2023)
Felix M. Weidner, Julian D. Schwab, Silke D. Werle, Nensi Ikonomi, Ludwig Lausser, Hans A. Kestler
Response to the letter to the editor: On the feasibility of dynamical analysis of network models of biochemical regulation. Bioinform. 38 (14) (2022)
Felix M. Weidner, Julian D. Schwab, Silke D. Werle, Nensi Ikonomi, Ludwig Lausser, Hans A. Kestler
Capturing dynamic relevance in Boolean networks using graph theoretical measures. Bioinform. 37 (20) (2021)
André Müller, Ludwig Lausser, Adalbert F. X. Wilhelm, Timo Ropinski, Matthias Platzer, Heiko Neumann, Hans A. Kestler
A perceptually optimised bivariate visualisation scheme for high-dimensional fold-change data. Adv. Data Anal. Classif. 15 (2) (2021)
Ludwig Lausser, Lisa M. Schäfer, Silke D. Kühlwein, Angelika M. R. Kestler, Hans A. Kestler
Detecting Ordinal Subcascades. Neural Process. Lett. 52 (3) (2020)
Peter Bellmann, Ludwig Lausser, Hans A. Kestler, Friedhelm Schwenker
Introducing Bidirectional Ordinal Classifier Cascades Based on a Pain Intensity Recognition Scenario. ICPR Workshops (6) (2020)
Ludwig Lausser, Robin Szekely, Hans A. Kestler
Chained correlations for feature selection. Adv. Data Anal. Classif. 14 (4) (2020)
Peter Bellmann, Ludwig Lausser, Hans A. Kestler, Friedhelm Schwenker
Experimental Analysis of Bidirectional Pairwise Ordinal Classifier Cascades. S+SSPR (2020)
Ludwig Lausser, Florian Schmid, Lyn-Rouven Schirra, Adalbert F. X. Wilhelm, Hans A. Kestler
Rank-based classifiers for extremely high-dimensional gene expression data. Adv. Data Anal. Classif. 12 (4) (2018)
Johann M. Kraus, Ludwig Lausser, Peter Kuhn, Franz Jobst, Michaela Bock, Carolin Halanke, Michael Hummel, Peter Heuschmann, Hans A. Kestler
Big data and precision medicine: challenges and strategies with healthcare data. Int. J. Data Sci. Anal. 6 (3) (2018)
Ludwig Lausser, Robin Szekely, Viktor Kessler, Friedhelm Schwenker, Hans A. Kestler
Selecting Features from Foreign Classes. ANNPR (2018)
Ludwig Lausser, Robin Szekely, Lyn-Rouven Schirra, Hans A. Kestler
The Influence of Multi-class Feature Selection on the Prediction of Diagnostic Phenotypes. Neural Process. Lett. 48 (2) (2018)
Rolf Hühne, Viktor Kessler, Axel Fürstberger, Silke D. Kühlwein, Matthias Platzer, Jürgen Sühnel, Ludwig Lausser, Hans A. Kestler
3D Network exploration and visualisation for lifespan data. BMC Bioinform. 19 (1) (2018)
Ludwig Lausser, Steffen Just, Wolfgang Rottbauer, Hans A. Kestler
Semantic Biomarker Selection for Functional Genomics of Heart Failure Model Organisms. CinC (2017)
Christoph Müssel, Florian Schmid, Tamara J. Blätte, Martin Hopfensitz, Ludwig Lausser, Hans A. Kestler
BiTrinA - multiscale binarization and trinarization with quality analysis. Bioinform. 32 (3) (2016)
Lyn-Rouven Schirra, Florian Schmid, Hans A. Kestler, Ludwig Lausser
Interpretable Classifiers in Precision Medicine: Feature Selection and Multi-class Categorization. ANNPR (2016)
Raphael Lattke, Ludwig Lausser, Christoph Müssel, Hans A. Kestler
Detecting Ordinal Class Structures. MCS (2015)
Gunnar Völkel, Ludwig Lausser, Florian Schmid, Johann M. Kraus, Hans A. Kestler
distributed computation. Bioinform. 31 (8) (2015)
Lyn-Rouven Schirra, Ludwig Lausser, Hans A. Kestler
Selection Stability as a Means of Biomarker Discovery in Classification. ECDA (2014)
Ludwig Lausser, Florian Schmid, Matthias Schmid, Hans A. Kestler
Unlabeling data can improve classification accuracy. Pattern Recognit. Lett. 37 (2014)
Ludwig Lausser, Christoph Müssel, Alexander Melkozerov, Hans A. Kestler
Identifying predictive hubs to condense the training set of (k)-nearest neighbour classifiers. Comput. Stat. 29 (1) (2014)
Florian Schmid, Ludwig Lausser, Hans A. Kestler
Linear Contrast Classifiers in High-Dimensional Spaces. ANNPR (2014)
Christoph Müssel, Ludwig Lausser, Hans A. Kestler
Ensembles of Representative Prototype Sets for Classification and Data Set Analysis. ECDA (2013)
Ludwig Lausser
Robuste Klassifikationsverfahren für hochdimensionale Datensätze. Ausgezeichnete Informatikdissertationen (2013)
Ludwig Lausser, Christoph Müssel, Markus Maucher, Hans A. Kestler
Measuring and visualizing the stability of biomarker selection techniques. Comput. Stat. 28 (1) (2013)
Florian Schmid, Ludwig Lausser, Hans A. Kestler
Three Transductive Set Covering Machines. GfKl (2012)
Andre Burkovski, Ludwig Lausser, Johann M. Kraus, Hans A. Kestler
Rank Aggregation for Candidate Gene Identification. GfKl (2012)
Ludwig Lausser, Christoph Müssel, Hans A. Kestler
Representative Prototype Sets for Data Characterization and Classification. ANNPR (2012)
Ludwig Lausser, Florian Schmid, Hans A. Kestler
On the Utility of Partially Labeled Data for Classification of Microarray Data. PSL (2011)
Hans A. Kestler, Ludwig Lausser, Wolfgang Lindner, Günther Palm
On the fusion of threshold classifiers for categorization and dimensionality reduction. Comput. Stat. 26 (2) (2011)
Ludwig Lausser, Hans A. Kestler
Robustness Analysis of Eleven Linear Classifiers in Extremely High-Dimensional Feature Spaces. ANNPR (2010)
Ludwig Lausser, Christoph Müssel, Markus Maucher, Hans A. Kestler
Feature Reduction and Nearest Neighbours. GfKl (2010)
Ludwig Lausser, Friedhelm Schwenker, Günther Palm
Detecting zebra crossings utilizing AdaBoost. ESANN (2008)
Ludwig Lausser, Malte Buchholz, Hans A. Kestler
Boosting Threshold Classifiers for High- Dimensional Data in Functional Genomics. ANNPR (2008)