Hans A. Kestler

Orcid: 0000-0002-4759-5254

According to our database1, Hans A. Kestler authored at least 120 papers between 1995 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Editorial for ADAC issue 4 of volume 18 (2024).
Adv. Data Anal. Classif., December, 2024

Permutation-invariant linear classifiers.
Mach. Learn., October, 2024

Editorial for ADAC issue 2 of volume 18 (2024).
Adv. Data Anal. Classif., June, 2024

GatekeepR: an R Shiny application for the identification of nodes with high dynamic impact in Boolean networks.
Bioinform., January, 2024

Enhanced performance prediction of ATL model transformations.
Perform. Evaluation, 2024

A Novel Quantum Algorithm for Efficient Attractor Search in Gene Regulatory Networks.
CoRR, 2024

Abstracting Volumetric Medical Images with Sparse Keypoints for Efficient Geometric Segmentation of Lung Fissures with a Graph CNN.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023
Editorial for ADAC issue 4 of volume 17 (2023).
Adv. Data Anal. Classif., December, 2023

AMBAR - Interactive Alteration annotations for molecular tumor boards.
Comput. Methods Programs Biomed., October, 2023

Editorial for ADAC issue 3 of volume 17 (2023).
Adv. Data Anal. Classif., September, 2023

Data Set for Enhanced Performance Prediction of ATL Model Transformations.
Dataset, September, 2023

Self-Assessment of Having COVID-19 With the Corona Check mHealth App.
IEEE J. Biomed. Health Informatics, June, 2023

Editorial for ADAC issue 2 of volume 17 (2023).
Adv. Data Anal. Classif., June, 2023

Leveraging quantum computing for dynamic analyses of logical networks in systems biology.
Patterns, March, 2023

Editorial for ADAC issue 1 of volume 17 (2023).
Adv. Data Anal. Classif., March, 2023

Federated electronic data capture (fEDC): Architecture and prototype.
J. Biomed. Informatics, February, 2023

Unsupervised domain adaptation for the detection of cardiomegaly in cross-domain chest X-ray images.
Frontiers Artif. Intell., February, 2023

Pain Recognition Differences between Female and Male Subjects: An Analysis based on the Physiological Signals of the X-ITE Pain Database.
Proceedings of the International Conference on Multimodal Interaction, 2023

Towards an Architecture for Collecting a Multidimensional Glioblastoma Dataset.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022
<i>CANTATA - </i>prediction of missing links in Boolean networks using genetic programming.
Bioinform., October, 2022

Response to the letter to the editor: On the feasibility of dynamical analysis of network models of biochemical regulation.
Bioinform., 2022

Editorial for ADAC issue 4 of volume 16 (2022).
Adv. Data Anal. Classif., 2022

Editorial for ADAC issue 3 of volume 16 (2022).
Adv. Data Anal. Classif., 2022

Is there a role for statistics in artificial intelligence?
Adv. Data Anal. Classif., 2022

Machine Learning-Based Pain Intensity Estimation: Where Pattern Recognition Meets Chaos Theory - An Example Based on the BioVid Heat Pain Database.
IEEE Access, 2022

Deep Learning Architectures for Pain Recognition Based on Physiological Signals.
Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

Collecting Data from Senior Citizens Using Serious Games.
Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

2021
Corona Health - A Study- and Sensor-based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic.
CoRR, 2021

Capturing dynamic relevance in Boolean networks using graph theoretical measures.
Bioinform., 2021

Erratum to: Analysis, identification and visualization of subgroups in genomics.
Briefings Bioinform., 2021

Analysis, identification and visualization of subgroups in genomics.
Briefings Bioinform., 2021

Implementing FAIR data management within the German Network for Bioinformatics Infrastructure (de.NBI) exemplified by selected use cases.
Briefings Bioinform., 2021

Editorial for ADAC issue 4 of volume 15 (2021).
Adv. Data Anal. Classif., 2021

Editorial for ADAC issue 3 of volume 15 (2021).
Adv. Data Anal. Classif., 2021

Editorial for ADAC issue 2 of volume 15 (2021).
Adv. Data Anal. Classif., 2021

Editorial for ADAC issue 1 of volume 15 (2021).
Adv. Data Anal. Classif., 2021

A perceptually optimised bivariate visualisation scheme for high-dimensional fold-change data.
Adv. Data Anal. Classif., 2021

Perspective on mHealth Concepts to Ensure Users' Empowerment-From Adverse Event Tracking for COVID-19 Vaccinations to Oncological Treatment.
IEEE Access, 2021

2020
Two-Stream Attention Network for Pain Recognition from Video Sequences.
Sensors, 2020

Detecting Ordinal Subcascades.
Neural Process. Lett., 2020

Editorial for ADAC issue 3 of volume 14 (2020).
Adv. Data Anal. Classif., 2020

Chained correlations for feature selection.
Adv. Data Anal. Classif., 2020

Experimental Analysis of Bidirectional Pairwise Ordinal Classifier Cascades.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020

Multimodal Deep Denoising Convolutional Autoencoders for Pain Intensity Classification based on Physiological Signals.
Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020

Introducing Bidirectional Ordinal Classifier Cascades Based on a Pain Intensity Recognition Scenario.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019
Exploring Deep Physiological Models for Nociceptive Pain Recognition.
Sensors, 2019

Proceedings of Reisensburg 2016-2017.
Comput. Stat., 2019

2018
The Influence of Multi-class Feature Selection on the Prediction of Diagnostic Phenotypes.
Neural Process. Lett., 2018

Big data and precision medicine: challenges and strategies with healthcare data.
Int. J. Data Sci. Anal., 2018

Proceedings of Reisensburg 2014-2015.
Comput. Stat., 2018

3D Network exploration and visualisation for lifespan data.
BMC Bioinform., 2018

Rank-based classifiers for extremely high-dimensional gene expression data.
Adv. Data Anal. Classif., 2018

Special issue on "Science of big data: theory, methods and applications" - Preface by the Guest Editors.
Adv. Data Anal. Classif., 2018

Selecting Features from Foreign Classes.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018

2017
A model of the onset of the senescence associated secretory phenotype after DNA damage induced senescence.
PLoS Comput. Biol., 2017

ViSiBooL - visualization and simulation of Boolean networks with temporal constraints.
Bioinform., 2017

Semantic Biomarker Selection for Functional Genomics of Heart Failure Model Organisms.
Proceedings of the Computing in Cardiology, 2017

2016
GiANT: gene set uncertainty in enrichment analysis.
Bioinform., 2016

BiTrinA - multiscale binarization and trinarization with quality analysis.
Bioinform., 2016

Interpretable Classifiers in Precision Medicine: Feature Selection and Multi-class Categorization.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2016

2015
Sputnik: <i>ad hoc</i> distributed computation.
Bioinform., 2015

Cooperative development of logical modelling standards and tools with CoLoMoTo.
Bioinform., 2015

On the validity of time-dependent AUC estimators.
Briefings Bioinform., 2015

Detecting Ordinal Class Structures.
Proceedings of the Multiple Classifier Systems - 12th International Workshop, 2015

2014
Unlabeling data can improve classification accuracy.
Pattern Recognit. Lett., 2014

Inferring Boolean functions via higher-order correlations.
Comput. Stat., 2014

Identifying predictive hubs to condense the training set of (k)-nearest neighbour classifiers.
Comput. Stat., 2014

Proceedings of Reisensburg 2011.
Comput. Stat., 2014

Ant colony optimization with group learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Information Theoretic Measures for Ant Colony Optimization.
Proceedings of the Analysis of Large and Complex Data, 2014

Selection Stability as a Means of Biomarker Discovery in Classification.
Proceedings of the Analysis of Large and Complex Data, 2014

Linear Contrast Classifiers in High-Dimensional Spaces.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2014

2013
On the discovery of events in EEG data utilizing information fusion.
Comput. Stat., 2013

Measuring and visualizing the stability of biomarker selection techniques.
Comput. Stat., 2013

Attractors in Boolean networks: a tutorial.
Comput. Stat., 2013

Proceedings of Reisensburg 2010.
Comput. Stat., 2013

RNA-Pareto: interactive analysis of Pareto-optimal RNA sequence-structure alignments.
Bioinform., 2013

Structural RNA alignment by multi-objective optimization.
Bioinform., 2013

Group-based ant colony optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Ensembles of Representative Prototype Sets for Classification and Data Set Analysis.
Proceedings of the Data Science, 2013

2012
Multiscale Binarization of Gene Expression Data for Reconstructing Boolean Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Three Transductive Set Covering Machines.
Proceedings of the Data Analysis, Machine Learning and Knowledge Discovery, 2012

Rank Aggregation for Candidate Gene Identification.
Proceedings of the Data Analysis, Machine Learning and Knowledge Discovery, 2012

Algorithmic Engineering with Clojure.
Proceedings of ELS 2012 - 5th European Lisp Symposium, Zadar, Croatia, April 30, 2012

Representative Prototype Sets for Data Characterization and Classification.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2012

2011
Search heuristics and the influence of non-perfect randomness: examining Genetic Algorithms and Simulated Annealing.
Comput. Stat., 2011

Multi-objective selection for collecting cluster alternatives.
Comput. Stat., 2011

On the fusion of threshold classifiers for categorization and dimensionality reduction.
Comput. Stat., 2011

TimeLapseAnalyzer: Multi-target analysis for live-cell imaging and time-lapse microscopy.
Comput. Methods Programs Biomed., 2011

Inferring Boolean network structure via correlation.
Bioinform., 2011

On the Utility of Partially Labeled Data for Classification of Microarray Data.
Proceedings of the Partially Supervised Learning - First IAPR TC3 Workshop, 2011

2010
A highly efficient multi-core algorithm for clustering extremely large datasets.
BMC Bioinform., 2010

BoolNet - an R package for generation, reconstruction and analysis of Boolean networks.
Bioinform., 2010

Feature Reduction and Nearest Neighbours.
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

Fuzzy Boolean Network Reconstruction.
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.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2010

Mathe-Toolbox - Mathematische Notationen, Grundbegriffe und Beweismethoden.
Lehmanns Media, ISBN: 978-3-86541-369-7, 2010

2008
VennMaster: Area-proportional Euler diagrams for functional GO analysis of microarrays.
BMC Bioinform., 2008

Boosting Threshold Classifiers for High- Dimensional Data in Functional Genomics.
Proceedings of the Artificial Neural Networks in Pattern Recognition, Third IAPR Workshop, 2008

2007
Visualization of genomic aberrations using Affymetrix SNP arrays.
Bioinform., 2007

2006
A Perceptually Optimized Scheme for Visualizing Gene Expression Ratios with Confidence Values.
Proceedings of the Perception and Interactive Technologies, 2006

Orientation Histograms for Face Recognition.
Proceedings of the Artificial Neural Networks in Pattern Recognition, Second IAPR Workshop, 2006

An Empirical Comparison of Feature Reduction Methods in the Context of Microarray Data Classification.
Proceedings of the Artificial Neural Networks in Pattern Recognition, Second IAPR Workshop, 2006

Learning and Feature Selection Using the Set Covering Machine with Data-Dependent Rays on Gene Expression Profiles.
Proceedings of the Artificial Neural Networks in Pattern Recognition, Second IAPR Workshop, 2006

On the Effects of Constraints in Semi-supervised Hierarchical Clustering.
Proceedings of the Artificial Neural Networks in Pattern Recognition, Second IAPR Workshop, 2006

2005
Generalized Venn diagrams: a new method of visualizing complex genetic set relations.
Bioinform., 2005

2003
Radial basis function neural networks and temporal fusion for the classification of bioacoustic time series.
Neurocomputing, 2003

Morphological Scale-Space Decomposition for Segmenting the Ventricular Structure in Cardiac MR Images.
Proceedings of the Bildverarbeitung für die Medizin 2003, Algorithmen - Systeme, 2003

2002
Hierarchical Object Classification for Autonomous Mobile Robots.
Proceedings of the Artificial Neural Networks, 2002

2001
Three learning phases for radial-basis-function networks.
Neural Networks, 2001

ROC with confidence - a Perl program for receiver operator characteristic curves.
Comput. Methods Programs Biomed., 2001

3D object recognition for autonomous mobile robots utilizing support vector classifiers.
Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation: Integrating Intelligent Machines with Humans for a Better Tomorrow, 2001

2000
Concurrent Object Identification and Localization for a Mobile Robot.
Künstliche Intell., 2000

Radial-basis-function networks: learning and applications.
Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000

An Algorithm for Adaptive Clustering and Visualisation of Highdimensional Data Sets.
Proceedings of the Computational Intelligence in Data Mining, 2000

1999
Object Classification Using Simple, Colour Based Visual Attention and a Hierarchical Neural Network for Neuro-symbolic Integration.
Proceedings of the KI-99: Advances in Artificial Intelligence, 1999

A Hierarchical Neural Object Classifier for Subsymbolic-Symbolic Coupling.
Proceedings of the Mustererkennung 1999, 1999

Object classification with simple visual attention and a hierarchical neural network for subsymbolic-symbolic coupling.
Proceedings of the Proceedings 1999 IEEE International Symposium on Computational Intelligence in Robotics and Automation, 1999

Schritthaltende Objektklassifikation für einen autonomen mobilen Roboter.
Proceedings of the Autonome Mobile Systeme 1999, 1999

1995
Klassifikation hochverstärkter EKG Signale durch RBF-Netzwerke.
Proceedings of the Mustererkennung 1995, 1995


  Loading...