Boosting Threshold Classifiers for High- Dimensional Data in Functional Genomics. - Ludwig Lausser; Malte Buchholz; Hans A. Kestler (ANNPR, 2008)

Detecting zebra crossings utilizing AdaBoost. - Ludwig Lausser; Friedhelm Schwenker; Günther Palm (ESANN, 2008)

Robustness Analysis of Eleven Linear Classifiers in Extremely High-Dimensional Feature Spaces. - Ludwig Lausser; Hans A. Kestler (ANNPR, 2010)

Feature Reduction and Nearest Neighbours. - Ludwig Lausser; Christoph Müssel; Markus Maucher; Hans A. Kestler (GfKl, 2010)

On the Utility of Partially Labeled Data for Classification of Microarray Data. - Ludwig Lausser; Florian Schmid; Hans A. Kestler (PSL, 2011)

On the fusion of threshold classifiers for categorization and dimensionality reduction. - Hans A. Kestler; Ludwig Lausser; Wolfgang Lindner 002; Günther Palm (Comput. Stat., 2011)

Representative Prototype Sets for Data Characterization and Classification. - Ludwig Lausser; Christoph Müssel; Hans A. Kestler (ANNPR, 2012)

Rank Aggregation for Candidate Gene Identification. - Andre Burkovski; Ludwig Lausser; Johann M. Kraus; Hans A. Kestler (GfKl, 2012)

Three Transductive Set Covering Machines. - Florian Schmid; Ludwig Lausser; Hans A. Kestler (GfKl, 2012)

Sparse and robust classification methods for high-dimensional datasets. - Ludwig Maximilian Lausser (2013)

Ensembles of Representative Prototype Sets for Classification and Data Set Analysis. - Christoph Müssel; Ludwig Lausser; Hans A. Kestler (ECDA, 2013)

Robuste Klassifikationsverfahren für hochdimensionale Datensätze. - Ludwig Lausser (Ausgezeichnete Informatikdissertationen, 2013)

Measuring and visualizing the stability of biomarker selection techniques. - Ludwig Lausser; Christoph Müssel; Markus Maucher; Hans A. Kestler (Comput. Stat., 2013)

Linear Contrast Classifiers in High-Dimensional Spaces. - Florian Schmid; Ludwig Lausser; Hans A. Kestler (ANNPR, 2014)

Selection Stability as a Means of Biomarker Discovery in Classification. - Lyn-Rouven Schirra; Ludwig Lausser; Hans A. Kestler (ECDA, 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)

Unlabeling data can improve classification accuracy. - Ludwig Lausser; Florian Schmid; Matthias Schmid; Hans A. Kestler (Pattern Recognit. Lett., 2014)

Detecting Ordinal Class Structures. - Raphael Lattke; Ludwig Lausser; Christoph Müssel; Hans A. Kestler (MCS, 2015)

Sputnik: ad hoc distributed computation. - Gunnar Völkel; Ludwig Lausser; Florian Schmid; Johann M. Kraus; Hans A. Kestler (Bioinform., 2015)

Interpretable Classifiers in Precision Medicine: Feature Selection and Multi-class Categorization. - Lyn-Rouven Schirra; Florian Schmid; Hans A. Kestler; Ludwig Lausser (ANNPR, 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)

Semantic Biomarker Selection for Functional Genomics of Heart Failure Model Organisms. - Ludwig Lausser; Steffen Just; Wolfgang Rottbauer; Hans A. Kestler (CinC, 2017)

Selecting Features from Foreign Classes. - Ludwig Lausser; Robin Szekely; Viktor Kessler; Friedhelm Schwenker; Hans A. Kestler (ANNPR, 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)

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)

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)

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)

Introducing Bidirectional Ordinal Classifier Cascades Based on a Pain Intensity Recognition Scenario. - Peter Bellmann; Ludwig Lausser; Hans A. Kestler; Friedhelm Schwenker (ICPR Workshops (6), 2020)

Experimental Analysis of Bidirectional Pairwise Ordinal Classifier Cascades. - Peter Bellmann; Ludwig Lausser; Hans A. Kestler; Friedhelm Schwenker (S+SSPR, 2020)

Chained correlations for feature selection. - Ludwig Lausser; Robin Szekely; Hans A. Kestler (Adv. Data Anal. Classif., 2020)

Detecting Ordinal Subcascades. - Ludwig Lausser; Lisa M. Schäfer; Silke D. Kühlwein; Angelika M. R. Kestler; Hans A. Kestler (Neural Process. Lett., 2020)

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)

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)

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)

Limits of Human Expert Ensembles in Mitosis Multi-expert Ground Truth Generation. - Ludwig Maximilian Lausser; Christof A. Bertram; Robert Klopfleisch; Marc Aubreville (Bildverarbeitung für die Medizin, 2023)

Identifying Key Features in Aggregated Real-Life AIS-Messages for Classification of Maritime Vessels by Random Forests. - Max J. Krüger; Ludwig Lausser (FUSION, 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., 2023)

Permutation-invariant linear classifiers. - Ludwig Lausser; Robin Szekely; Hans A. Kestler (Mach. Learn., 2024)

Is Self-supervision Enough? - Benchmarking Foundation Models Against End-to-end Training for Mitotic Figure Classification. - Jonathan Ganz; Jonas Ammeling; Emely Rosbach; Ludwig Lausser; Christof A. Bertram; Katharina Breininger; Marc Aubreville (Bildverarbeitung für die Medizin, 2025)