Hans A. Kestler

Günther Palm, Friedhelm Schwenker, Hans A. Kestler, 1999, Proceedings 1999 IEEE International Symposium on Computational Intelligence in Robotics and Automation. CIRA'99 (Cat. No.99EX375).

Boosting Ensembles of Weak Classifiers in High Dimensional Input Spaces

Friedhelm Schwenker, Ludwig Lausser, Hans A. Kestler, 2009 .

BiTrinA - multiscale binarization and trinarization with quality analysis

Florian Schmid, Ludwig Lausser, Hans A. Kestler, 2016, Bioinform..

An empirical assessment of local and population based search methods with different degrees of pseudorandomness

Hans A. Kestler, Uwe Schöning, Markus Maucher, 2008 .

Inferring Boolean functions via higher-order correlations

Martin Bossert, Hans A. Kestler, Steffen Schober, 2014, Comput. Stat..

GiANT: gene set uncertainty in enrichment analysis

Florian Schmid, Hans A. Kestler, Matthias Schmid, 2016, Bioinform..

Fold Change Classifiers for the Analysis of Gene Expression Profiles

Ludwig Lausser, Hans A. Kestler, 2014 .

RNA-Pareto: interactive analysis of Pareto-optimal RNA sequence-structure alignments

Hans A. Kestler, Uwe Schöning, Thomas Schnattinger, 2013, Bioinform..

Schritthaltende Objektklassifikation für einen autonomen mobilen Roboter

Günther Palm, Friedhelm Schwenker, Hans A. Kestler, 1999, AMS.

BoolNet - an R package for generation, reconstruction and analysis of Boolean networks

Hans A. Kestler, Christoph Müssel, Martin Hopfensitz, 2010, Bioinform..

Evolutionary optimization of a wavelet classifier for the categorization of beat-to-beat variability signals

Günther Palm, Friedhelm Schwenker, Hans A. Kestler, 2000 .

Cooperative development of logical modelling standards and tools with CoLoMoTo

Aurélien Naldi, Denis Thieffry, Claudine Chaouiya, 2014, bioRxiv.

Information Theoretic Measures for Ant Colony Optimization

Hans A. Kestler, Uwe Schöning, Markus Maucher, 2014, ECDA.

ROC with confidence - a Perl program for receiver operator characteristic curves

Hans A. Kestler, H. Kestler, 2001, Comput. Methods Programs Biomed..

Selection Stability as a Means of Biomarker Discovery in Classification

Lyn-Rouven Schirra, Ludwig Lausser, Hans A. Kestler, 2014, ECDA.

Unsupervised and supervised learning in radial-basis-function networks

Friedhelm Schwenker, Hans A. Kestler, Güther Palm, 2001 .

Group-based ant colony optimization

Hans A. Kestler, Markus Maucher, Gunnar Völkel, 2013, GECCO '13.

Visualization of genomic aberrations using Affymetrix SNP arrays

Hans A. Kestler, André Müller, Karlheinz Holzmann, 2007, Bioinform..

Rank Aggregation for Candidate Gene Identification

Andre Burkovski, Ludwig Lausser, Hans A. Kestler, 2012, GfKl.

Multi-objective selection for collecting cluster alternatives

Günther Palm, Hans A. Kestler, Johann M. Kraus, 2011, Comput. Stat..

Ensembles of Representative Prototype Sets for Classification and Data Set Analysis

Ludwig Lausser, Hans A. Kestler, Christoph Müssel, 2013, ECDA.

ViSiBooL - visualization and simulation of Boolean networks with temporal constraints

Andre Burkovski, Hans A. Kestler, Christoph Müssel, 2016, Bioinform..

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

Lyn-Rouven Schirra, Florian Schmid, Ludwig Lausser, 2016, ANNPR.

Radial-basis-function networks: learning and applications

Günther Palm, Friedhelm Schwenker, Hans A. Kestler, 2000, KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516).

3D object recognition for autonomous mobile robots utilizing support vector classifiers

Günther Palm, Friedhelm Schwenker, Hans A. Kestler, 2001, Proceedings 2001 IEEE International Symposium on Computational Intelligence in Robotics and Automation (Cat. No.01EX515).

Sputnik: ad hoc distributed computation

Florian Schmid, Ludwig Lausser, Hans A. Kestler, 2015, Bioinform..

3D Network exploration and visualisation for lifespan data

Ludwig Lausser, Hans A. Kestler, Viktor Kessler, 2018, BMC Bioinformatics.

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

Ludwig Lausser, Hans A. Kestler, H. Kestler, 2010, ANNPR.

Supplementary material from "Constraining classifiers in molecular analysis: invariance and robustness"

Ludwig Lausser, Hans A. Kestler, Robin Szekely, 2020 .

Exhaustive biomarker selection techniques

Hans A. Kestler, 2015 .

Ant colony optimization with group learning

Hans A. Kestler, Uwe Schöning, Markus Maucher, 2014, GECCO.

Measuring and visualizing the stability of biomarker selection techniques

Ludwig Lausser, Hans A. Kestler, Markus Maucher, 2011, Computational Statistics.

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

Lyn-Rouven Schirra, Florian Schmid, Ludwig Lausser, 2018, Adv. Data Anal. Classif..

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

Ludwig Lausser, Hans A. Kestler, Johann M. Kraus, 2018, International Journal of Data Science and Analytics.

Semantic biomarker selection for functional genomics of heart failure model organisms

Ludwig Lausser, Hans A. Kestler, Wolfgang Rottbauer, 2017, 2017 Computing in Cardiology (CinC).

Hierarchical Object Classification for Autonomous Mobile Robots

Günther Palm, Friedhelm Schwenker, Hans A. Kestler, 2002, ICANN.

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

Lyn-Rouven Schirra, Ludwig Lausser, Hans A. Kestler, 2017, Neural Processing Letters.

An Empirical Comparison of Feature Reduction Methods in the Context of Microarray Data Classification

Hans A. Kestler, Christoph Müssel, H. Kestler, 2006, ANNPR.

Unlabeling data can improve classification accuracy

Florian Schmid, Ludwig Lausser, Hans A. Kestler, 2014, Pattern Recognit. Lett..

Selecting Features from Foreign Classes

Friedhelm Schwenker, Ludwig Lausser, Hans A. Kestler, 2018, ANNPR.

Proceedings of Reisensburg 2011

Hans A. Kestler, Matthias Schmid, Harald Binder, 2014, Comput. Stat..

Inferring Boolean network structure via correlation

Hans A. Kestler, Markus Maucher, Michael Kühl, 2011, Bioinform..

A highly efficient multi-core algorithm for clustering extremely large datasets

Hans A. Kestler, Johann M. Kraus, H. Kestler, 2010, BMC Bioinformatics.

TraqBio - Flexible Progress Tracking for Core Unit Projects

Hans A. Kestler, Matthias Görlach, Fabian Schneider, 2016, PloS one.

Orientation Histograms for Face Recognition

Günther Palm, Friedhelm Schwenker, Hans A. Kestler, 2006, ANNPR.

Editorial for ADAC issue 3 of volume 14 (2020)

Akinori Okada, Hans A. Kestler, Claus Weihs, 2020, Adv. Data Anal. Classif..

Construction, Simulation and Analysis of Boolean Networks

Hans A. Kestler, Dao Zhou, Christoph Müssel, 2015 .

Analysis of Large and Complex Data - Second European Conference on Data Analysis, ECDA 2014, Bremen, Germany, July 2-4, 2014

Hans A. Kestler, Adalbert F. X. Wilhelm, H. Kestler, 2016, European Conference on Data Analysis.

A model of the onset of the senescence associated secretory phenotype after DNA damage induced senescence

Thomas Wirth, Andre Burkovski, Hans A. Kestler, 2017, PLoS Comput. Biol..

Learning and Feature Selection Using the Set Covering Machine with Data-Dependent Rays on Gene Expression Profiles

Hans A. Kestler, André Müller, Wolfgang Lindner, 2006, ANNPR.

Structural RNA alignment by multi-objective optimization

Hans A. Kestler, Uwe Schöning, Thomas Schnattinger, 2013, Bioinform..

Identifying predictive hubs to condense the training set of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$k$$\end{do

Ludwig Lausser, Hans A. Kestler, Alexander Melkozerov, 2012, Computational Statistics.

Generalized Venn diagrams: a new method of visualizing complex genetic set relations

Hans A. Kestler, André Müller, Malte Buchholz, 2005, Bioinform..

Detecting Ordinal Class Structures

Ludwig Lausser, Hans A. Kestler, Christoph Müssel, 2015, MCS.

Fuzzy Boolean Network Reconstruction

Hans A. Kestler, Markus Maucher, Martin Hopfensitz, 2010, GfKl.

Feature Reduction and Nearest Neighbours

Ludwig Lausser, Hans A. Kestler, Markus Maucher, 2010, GfKl.

Search heuristics and the influence of non-perfect randomness: examining Genetic Algorithms and Simulated Annealing

Hans A. Kestler, Uwe Schöning, Markus Maucher, 2011, Comput. Stat..

Squinting and stereoscopic vision

Hans A. Kestler, M. Haschka, 1999 .

Attractors in Boolean networks: a tutorial

Hans A. Kestler, Markus Maucher, Christoph Müssel, 2012, Computational Statistics.

Multiscale Binarization of Gene Expression Data for Reconstructing Boolean Networks

Hans A. Kestler, Heiko Neumann, Markus Maucher, 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Multi-Objective Parameter Selection for Classifiers

Ludwig Lausser, Hans A. Kestler, Markus Maucher, 2012 .

Klassifikation hochverstärkter EKG Signale durch RBF-Netzwerke

Günther Palm, Friedhelm Schwenker, Hans A. Kestler, 1995, DAGM-Symposium.

Special issue on “Science of big data: theory, methods and applications”

Hans A. Kestler, Paul D. McNicholas, Adalbert F. X. Wilhelm, 2018, Adv. Data Anal. Classif..

Representative Prototype Sets for Data Characterization and Classification

Ludwig Lausser, Hans A. Kestler, Christoph Müssel, 2012, ANNPR.

Is there a role for statistics in artificial intelligence? pdf

Hans A. Kestler, Werner Brannath, Tim Friede, 2020, Advances in Data Analysis and Classification.

Editorial for ADAC issue 2 of volume 15 (2021)

Akinori Okada, Hans A. Kestler, Claus Weihs, 2021, Adv. Data Anal. Classif..

Implementing FAIR data management within the German Network for Bioinformatics Infrastructure (de.NBI) exemplified by selected use cases

Uwe Scholz, Roland Eils, Matthias Lange, 2021, Briefings Bioinform..

Capturing dynamic relevance in Boolean networks using graph theoretical measures

Ludwig Lausser, Hans A. Kestler, Julian D. Schwab, 2021, Bioinform..

Editorial for ADAC issue 3 of volume 14 (2020)

Akinori Okada, Hans A. Kestler, Claus Weihs, 2020, Advances in Data Analysis and Classification.

Editorial for ADAC issue 3 of volume 15 (2021)

Akinori Okada, Hans A. Kestler, Claus Weihs, 2021, Adv. Data Anal. Classif..

Editorial for ADAC issue 4 of volume 15 (2021)

Akinori Okada, Hans A. Kestler, Claus Weihs, 2021, Adv. Data Anal. Classif..

Chromosomal Integration of Adenoviral Vector DNA In Vivo

Hans A. Kestler, Stefan Kochanek, Eugenio Montini, 2010, Journal of Virology.

Comparative gene-expression profiling of the large cell variant of gastrointestinal marginal-zone B-cell lymphoma

Ludwig Lausser, Hans A. Kestler, Johann M. Kraus, 2017, Scientific Reports.

RBF network classification of ECGs as a potential marker for sudden cardiac death

Friedhelm Schwenker, Hans A. Kestler, H. Kestler, 2001 .

Cluster Analysis of Comparative Genomic Hybridization (CGH) Data Using Self-Organizing Maps: Application to Prostate Carcinomas

Hans A. Kestler, Torsten Mattfeldt, T. Mattfeldt, 2001, Analytical cellular pathology : the journal of the European Society for Analytical Cellular Pathology.

Proceedings of Reisensburg 2010

Hans A. Kestler, Matthias Schmid, Harald Binder, 2013, Comput. Stat..

Classification of Incidental Carcinoma of the Prostate Using Learning Vector Quantization and Support Vector Machines

Hans A. Kestler, Torsten Mattfeldt, T. Mattfeldt, 2004, Cellular oncology : the official journal of the International Society for Cellular Oncology.

Proceedings of Reisensburg 2013

Hans A. Kestler, Matthias Schmid, H. Kestler, 2015 .

Genomic DNA-Chip Hybridization Reveals a Higher Incidence of Genomic Amplifications in Pancreatic Cancer than Conventional Comparative Genomic Hybridization and Leads to the Identification of Novel Candidate Genes

Hans A. Kestler, Peter Lichter, Karlheinz Holzmann, 2004, Cancer Research.

Transcriptome analysis of human hepatic and pancreatic stellate cells: organ-specific variations of a common transcriptional phenotype

Hans A. Kestler, Malte Buchholz, Thomas M. Gress, 2005, Journal of Molecular Medicine.

Combined microRNA and mRNA microfluidic TaqMan array cards for the diagnosis of malignancy of multiple types of pancreatico-biliary tumors in fine-needle aspiration material

Lyn-Rouven Schirra, Ludwig Lausser, Hans A. Kestler, 2017, Oncotarget.