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ORCIDLudwig Lausser
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2020 – today
- 2024
[j17]Ludwig Lausser, Robin Szekely, Hans A. Kestler
:
Permutation-invariant linear classifiers. Mach. Learn. 113(10): 7195-7221 (2024)- 2023
- [j16]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) - [c18]Max J. Krüger, Ludwig Lausser:
Identifying Key Features in Aggregated Real-Life AIS-Messages for Classification of Maritime Vessels by Random Forests. FUSION 2023: 1-7 - 2022
- [j15]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): 3676 (2022) - 2021
- [j14]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): 463-480 (2021) - [j13]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): 3530-3537 (2021) - 2020
- [j12]Ludwig Lausser, Robin Szekely, Hans A. Kestler:
Chained correlations for feature selection. Adv. Data Anal. Classif. 14(4): 871-884 (2020) - [j11]Ludwig Lausser, Lisa M. Schäfer, Silke D. Kühlwein, Angelika M. R. Kestler, Hans A. Kestler:
Detecting Ordinal Subcascades. Neural Process. Lett. 52(3): 2583-2605 (2020) - [c17]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: 773-787 - [c16]Peter Bellmann, Ludwig Lausser, Hans A. Kestler, Friedhelm Schwenker:
Experimental Analysis of Bidirectional Pairwise Ordinal Classifier Cascades. S+SSPR 2020: 55-64
2010 – 2019
- 2018
- [j10]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): 917-936 (2018) - [j9]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): 390:1-390:19 (2018) - [j8]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): 241-249 (2018) - [j7]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): 863-880 (2018) - [c15]Ludwig Lausser, Robin Szekely, Viktor Kessler, Friedhelm Schwenker, Hans A. Kestler:
Selecting Features from Foreign Classes. ANNPR 2018: 66-77 - 2017
- [c14]Ludwig Lausser, Steffen Just, Wolfgang Rottbauer, Hans A. Kestler:
Semantic Biomarker Selection for Functional Genomics of Heart Failure Model Organisms. CinC 2017 - 2016
- [j6]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): 465-468 (2016) - [c13]Lyn-Rouven Schirra, Florian Schmid, Hans A. Kestler, Ludwig Lausser:
Interpretable Classifiers in Precision Medicine: Feature Selection and Multi-class Categorization. ANNPR 2016: 105-116 - 2015
- [j5]Gunnar Völkel, Ludwig Lausser, Florian Schmid, Johann M. Kraus, Hans A. Kestler:
Sputnik: ad hoc distributed computation. Bioinform. 31(8): 1298-1301 (2015) - [c12]Raphael Lattke, Ludwig Lausser, Christoph Müssel, Hans A. Kestler:
Detecting Ordinal Class Structures. MCS 2015: 100-111 - 2014
- [j4]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): 81-95 (2014) - [j3]Ludwig Lausser, Florian Schmid, Matthias Schmid, Hans A. Kestler:
Unlabeling data can improve classification accuracy. Pattern Recognit. Lett. 37: 15-23 (2014) - [c11]Florian Schmid, Ludwig Lausser, Hans A. Kestler:
Linear Contrast Classifiers in High-Dimensional Spaces. ANNPR 2014: 141-152 - [c10]Lyn-Rouven Schirra, Ludwig Lausser, Hans A. Kestler:
Selection Stability as a Means of Biomarker Discovery in Classification. ECDA 2014: 79-89 - 2013
- [b1]Ludwig Maximilian Lausser:
Sparse and robust classification methods for high-dimensional datasets. Universität Ulm, 2013, pp. I-XIII, 1-206 - [j2]Ludwig Lausser, Christoph Müssel, Markus Maucher, Hans A. Kestler:
Measuring and visualizing the stability of biomarker selection techniques. Comput. Stat. 28(1): 51-65 (2013) - [c9]Christoph Müssel, Ludwig Lausser, Hans A. Kestler:
Ensembles of Representative Prototype Sets for Classification and Data Set Analysis. ECDA 2013: 329-339 - [p1]Ludwig Lausser:
Robuste Klassifikationsverfahren für hochdimensionale Datensätze. Ausgezeichnete Informatikdissertationen 2013: 111-120 - 2012
- [c8]Ludwig Lausser, Christoph Müssel, Hans A. Kestler:
Representative Prototype Sets for Data Characterization and Classification. ANNPR 2012: 36-47 - [c7]Andre Burkovski, Ludwig Lausser, Johann M. Kraus, Hans A. Kestler:
Rank Aggregation for Candidate Gene Identification. GfKl 2012: 285-293 - [c6]Florian Schmid, Ludwig Lausser, Hans A. Kestler:
Three Transductive Set Covering Machines. GfKl 2012: 303-311 - 2011
- [j1]Hans A. Kestler, Ludwig Lausser, Wolfgang Lindner, Günther Palm:
On the fusion of threshold classifiers for categorization and dimensionality reduction. Comput. Stat. 26(2): 321-340 (2011) - [c5]Ludwig Lausser, Florian Schmid, Hans A. Kestler:
On the Utility of Partially Labeled Data for Classification of Microarray Data. PSL 2011: 96-109 - 2010
- [c4]Ludwig Lausser, Hans A. Kestler:
Robustness Analysis of Eleven Linear Classifiers in Extremely High-Dimensional Feature Spaces. ANNPR 2010: 72-83 - [c3]Ludwig Lausser, Christoph Müssel, Markus Maucher, Hans A. Kestler:
Feature Reduction and Nearest Neighbours. GfKl 2010: 363-370
2000 – 2009
- 2008
- [c2]Ludwig Lausser, Malte Buchholz, Hans A. Kestler:
Boosting Threshold Classifiers for High- Dimensional Data in Functional Genomics. ANNPR 2008: 147-156 - [c1]Ludwig Lausser, Friedhelm Schwenker, Günther Palm:
Detecting zebra crossings utilizing AdaBoost. ESANN 2008: 535-540
Coauthor Index
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