Stephan M. Winkler

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 55

Top Venues

Publications

Yousef A. Radwan, Gabriel Kronberger, Stephan M. Winkler
A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming. CoRR (2024)
Philipp Fleck, Stephan M. Winkler, Michael Kommenda, Sara Silva, Leonardo Vanneschi, Michael Affenzeller
Evolutionary Algorithms for Segment Optimization in Vectorial GP. GECCO Companion (2023)
Andreas Haghofer, Eda Parlak, Alexander Bartel, Taryn A. Donovan, Charles-Antoine Assenmacher, Pompei Bolfa, Michael J. Dark, Andrea Fuchs-Baumgartinger, Andrea Klang, Kathrin Jäger, Robert Klopfleisch, Sophie Merz, Barbara Richter, F. Yvonne Schulman, Jonathan Ganz, Josef Scharinger, Marc Aubreville, Stephan M. Winkler, Matti Kiupel, Christof A. Bertram
Nuclear Morphometry using a Deep Learning-based Algorithm has Prognostic Relevance for Canine Cutaneous Mast Cell Tumors. CoRR (2023)
Philipp Fleck, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller
Vectorial Genetic Programming - Optimizing Segments for Feature Extraction. CoRR (2023)
Hannah Janout, Jonas Schurr, Andreas Haghofer, Fabian Hauser, Jaroslaw Jacak, Stephan M. Winkler
Analysis of Extracellular Vesicle Data on Fluorescence and Atomic Force Microscopy Images. BIOSTEC (Selected Papers) (2022)
Jan Zenisek, Sebastian Dorl, Dominik Falkner, Lukas Gaisberger, Stephan M. Winkler, Michael Affenzeller
Shapley Value Based Variable Interaction Networks for Data Stream Analysis. EUROCAST (2022)
David Jödicke, Daniel Parra, Gabriel Kronberger, Stephan M. Winkler
Identifying Differential Equations to predict Blood Glucose using Sparse Identification of Nonlinear Systems. CoRR (2022)
David Joedicke, Daniel Parra, Gabriel Kronberger, Stephan M. Winkler
Identifying Differential Equations for the Prediction of Blood Glucose using Sparse Identification of Nonlinear Systems. EUROCAST (2022)
Bogdan Burlacu, Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller
Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data. CoRR (2022)
Bogdan Burlacu, Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller
Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data. GPTP (2022)
Marina Strobl, Julia Vetter, Gerhard Halmerbauer, Tilman Königswieser, Stephan M. Winkler
Using Explainable Artificial Intelligence for Data Based Detection of Complications in Records of Patient Treatments. EUROCAST (2022)
Jonas Schurr, Andreas Haghofer, Peter Lanzerstorfer, Stephan M. Winkler
Automated Segmentation of Patterned Cells in Micropatterning Microscopy Images. BIOSTEC (Selected Papers) (2022)
Julia Vetter, Susanne Schaller, Andreas Heinzel, Constantin Aschauer, Roman Reindl-Schwaighofer, Kira Jelencsics, Karin Hu, Rainer Oberbauer, Stephan M. Winkler
ImmunoDataAnalyzer: a bioinformatics pipeline for processing barcoded and UMI tagged immunological NGS data. BMC Bioinform. 23 (1) (2022)
Philipp Fleck, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller
Grammar-Based Vectorial Genetic Programming for Symbolic Regression. GPTP (2021)
Kathrin Kefer, Roland Hanghofer, Patrick Kefer, Markus Stöger, Bernd Hofer, Michael Affenzeller, Stephan M. Winkler
Multi tree operators for genetic programming to identify optimal energy flow controllers. GECCO Companion (2021)
Stefan Anlauf, Andreas Haghofer, Karl Dirnberger, Stephan M. Winkler
Using Heterogeneous Model Ensembles to Improve the Prediction of Yeast Contamination in Peppermint. ISM (2021)
Lukas Kammerer, Gabriel Kronberger, Stephan M. Winkler
Empirical analysis of variance for genetic programming based symbolic regression. GECCO Companion (2021)
Gabriel Kronberger, Lukas Kammerer, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller
Cluster Analysis of a Symbolic Regression Search Space. CoRR (2021)
Lukas Kammerer, Gabriel Kronberger, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller
Symbolic Regression by Exhaustive Search: Reducing the Search Space Using Syntactical Constraints and Efficient Semantic Structure Deduplication. CoRR (2021)
Gabriel Kronberger, J. Manuel Colmenar, Stephan M. Winkler, José Ignacio Hidalgo
Multilayer analysis of population diversity in grammatical evolution for symbolic regression. Soft Comput. 24 (15) (2020)
Hannah Janout, Bianca Buchegger, Andreas Haghofer, Dominic Hoeglinger, Jaroslaw Jacak, Stephan M. Winkler, Armin Hochreiner
PySpot: A Python based Framework for the Assessment of Laser-modified 3D Microstructures for Windows and Raspbian. BIOIMAGING (2020)
David Joedicke, Gabriel Kronberger, José Manuel Colmenar, Stephan M. Winkler, José Manuel Velasco, Sergio Contador, José Ignacio Hidalgo
Analysis of the performance of Genetic Programming on the Blood Glucose Level Prediction Challenge 2020. KDH@ECAI (2020)
Andreas Haghofer, Sebastian Dorl, Andre Oszwald, Johannes Breuss, Jaroslaw Jacak, Stephan M. Winkler
Evolutionary optimization of image processing for cell detection in microscopy images. Soft Comput. 24 (23) (2020)
Michael Affenzeller, Bogdan Burlacu, Viktoria Dorfer, Sebastian Dorl, Gerhard Halmerbauer, Tilman Königswieser, Michael Kommenda, Julia Vetter, Stephan M. Winkler
White Box vs. Black Box Modeling: On the Performance of Deep Learning, Random Forests, and Symbolic Regression in Solving Regression Problems. EUROCAST (1) (2019)
Lukas Kammerer, Gabriel Kronberger, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller
Symbolic Regression by Exhaustive Search: Reducing the Search Space Using Syntactical Constraints and Efficient Semantic Structure Deduplication. GPTP (2019)
Kathrin Kefer, Roland Hanghofer, Patrick Kefer, Markus Stöger, Michael Affenzeller, Stephan M. Winkler, Stefan Wagner, Bernd Hofer
A Model-Based Learning Approach for Controlling the Energy Flows of a Residential Household Using Genetic Programming to Perform Symbolic Regression. EUROCAST (1) (2019)
Gabriel Kronberger, Michael Kommenda, Edwin Lughofer, Susanne Saminger-Platz, Andreas Promberger, Falk Nickel, Stephan M. Winkler, Michael Affenzeller
Using robust generalized fuzzy modeling and enhanced symbolic regression to model tribological systems. Appl. Soft Comput. 69 (2018)
Gabriel Kronberger, Lukas Kammerer, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller
Cluster Analysis of a Symbolic Regression Search Space. GPTP (2018)
Michael Affenzeller, Stephan M. Winkler, Bogdan Burlacu, Gabriel Kronberger, Michael Kommenda, Stefan Wagner
Dynamic observation of genotypic and phenotypic diversity for different symbolic regression GP variants. GECCO (Companion) (2017)
José Ignacio Hidalgo, J. Manuel Colmenar, Gabriel Kronberger, Stephan M. Winkler
Glucose Prognosis by Grammatical Evolution. EUROCAST (1) (2017)
Michael Affenzeller, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Gabriel Kronberger, Stefan Wagner
Offspring Selection Genetic Algorithm Revisited: Improvements in Efficiency by Early Stopping Criteria in the Evaluation of Unsuccessful Individuals. EUROCAST (1) (2017)
Stephan M. Winkler, J. Rafael Sendra
Fitness Landscape Analysis in the Optimization of Coefficients of Curve Parametrizations. EUROCAST (1) (2017)
José Ignacio Hidalgo, J. Manuel Colmenar, Gabriel Kronberger, Stephan M. Winkler, Oscar Garnica, Juan Lanchares
Data Based Prediction of Blood Glucose Concentrations Using Evolutionary Methods. J. Medical Syst. 41 (9) (2017)
Bogdan Burlacu, Michael Affenzeller, Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler
Schema Analysis in Tree-Based Genetic Programming. GPTP (2017)
Gabriel Kronberger, Bogdan Burlacu, Michael Kommenda, Stephan M. Winkler, Michael Affenzeller
Measures for the Evaluation and Comparison of Graphical Model Structures. EUROCAST (1) (2017)
Bogdan Burlacu, Michael Affenzeller, Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler
Analysis of Schema Frequencies in Genetic Programming. EUROCAST (1) (2017)
Edwin Lughofer, Gabriel Kronberger, Michael Kommenda, Susanne Saminger-Platz, Andreas Promberger, Falk Nickel, Stephan M. Winkler, Michael Affenzeller
Robust Fuzzy Modeling and Symbolic Regression for Establishing Accurate and Interpretable Prediction Models in Supervising Tribological Systems. IJCCI (FCTA) (2016)
Stephan M. Winkler, Bonifacio Castaño, Sergio Luengo-Sanchez, Susanne Schaller, Gabriel Kronberger, Michael Affenzeller
Heterogeneous model ensembles for short-term prediction of stock market trends. Int. J. Simul. Process. Model. 11 (6) (2016)
J. Manuel Colmenar, Stephan M. Winkler, Gabriel Kronberger, Esther Maqueda, Marta Botella, José Ignacio Hidalgo
Predicting Glycemia in Diabetic Patients By Evolutionary Computation and Continuous Glucose Monitoring. GECCO (Companion) (2016)
Stephan M. Winkler, Michael Affenzeller, Bogdan Burlacu, Gabriel Kronberger, Michael Kommenda, Philipp Fleck
Similarity-Based Analysis of Population Dynamics in Genetic Programming Performing Symbolic Regression. GPTP (2016)
J. Rafael Sendra, Stephan M. Winkler
A heuristic and evolutionary algorithm to optimize the coefficients of curve parametrizations. J. Comput. Appl. Math. 305 (2016)
J. Rafael Sendra, Stephan M. Winkler
Corrigendum to: A heuristic and evolutionary algorithm to optimize the coefficients of curve parametrizations [J. Comput. Appl. Math. 305 (2016) 18-35]. J. Comput. Appl. Math. 308 (2016)
Gabriel Kronberger, Michael Kommenda, Stephan M. Winkler, Michael Affenzeller
Using Contextual Information in Sequential Search for Grammatical Optimization Problems. EUROCAST (2015)
Michael Affenzeller, Karin Zölzer, Stephan M. Winkler, Erwin Hopf, Herbert Stekel, Rupert Frechinger, Stefan Wagner
Increasing the Sensitivity of Cancer Predictors Using Confidence Based Ensemble Modeling. EUROCAST (2015)
J. Manuel Velasco, Stephan M. Winkler, José Ignacio Hidalgo, Oscar Garnica, Juan Lanchares, J. Manuel Colmenar, Esther Maqueda, Marta Botella, José Antonio Rubio
Data-Based Identification of Prediction Models for Glucose. GECCO (Companion) (2015)
Viktoria Dorfer, Sergey Maltsev, Stephan Dreiseitl, Karl Mechtler, Stephan M. Winkler
A Symbolic Regression Based Scoring System Improving Peptide Identifications for MS Amanda. GECCO (Companion) (2015)
Andreas Beham, Judith Fechter, Michael Kommenda, Stefan Wagner, Stephan M. Winkler, Michael Affenzeller
Optimization Strategies for Integrated Knapsack and Traveling Salesman Problems. EUROCAST (2015)
Susanne Schaller, Johannes Weinberger, Raúl Jiménez-Heredia, Martin Danzer, Rainer Oberbauer, Christian Gabriel, Stephan M. Winkler
ImmunExplorer (IMEX): a software framework for diversity and clonality analyses of immunoglobulins and T cell receptors on the basis of IMGT/HighV-QUEST preprocessed NGS data. BMC Bioinform. 16 (2015)
Lisa Obritzberger, Daniela Borgmann, Susanne Schaller, Viktoria Dorfer, Andrea Lindenmair, Susanne Wolbank, Simone Hennerbichler, Heinz Redl, Stephan M. Winkler
Prediction of Stem Cell Differentiation in Human Amniotic Membrane Images Using Machine Learning. EUROCAST (2015)
Sergio Luengo-Sanchez, Stephan M. Winkler, David F. Barrero, Bonifacio Castaño
Optimization of Trading Rules for the Spanish Stock Market by Genetic Programming. IEA/AIE (2015)
Daniela Borgmann, Sandra Mayr, Helene Polin, Lisa Obritzberger, Susanne Schaller, Viktoria Dorfer, Jaroslaw Jacak, Stephan M. Winkler
Classifying Human Blood Samples Using Characteristics of Single Molecules and Cell Structures on Microscopy Images. EUROCAST (2015)
Stephan M. Winkler, Gabriel Kronberger, Michael Kommenda, Stefan Fink, Michael Affenzeller
Dynamics of Predictability and Variable Influences Identified in Financial Data Using Sliding Window Machine Learning. EUROCAST (2015)
Michael Kommenda, Gabriel Kronberger, Michael Affenzeller, Stephan M. Winkler, Bogdan Burlacu
Evolving Simple Symbolic Regression Models by Multi-Objective Genetic Programming. GPTP (2015)
Susanne Schaller, Johannes Weinberger, Raúl Jiménez-Heredia, Martin Danzer, Stephan M. Winkler
Classification of the States of Human Adaptive Immune Systems by Analyzing Immunoglobulin and T Cell Receptors Using ImmunExplorer. EUROCAST (2015)
Stephan M. Winkler, Susanne Schaller, Viktoria Dorfer, Michael Affenzeller, Gerald Petz, Michal P. Karpowicz
Data-based prediction of sentiments using heterogeneous model ensembles. Soft Comput. 19 (12) (2015)
Stephan M. Winkler, Michael Affenzeller, Susanne Schaller, Herbert Stekel
Data based prediction of cancer diagnoses using heterogeneous model ensembles: a case study for breast cancer, melanoma, and cancer in the respiratory system. GECCO (Companion) (2014)
Gerd Bramerdorfer, Stephan M. Winkler, Michael Kommenda, Günther Weidenholzer, Siegfried Silber, Gabriel Kronberger, Michael Affenzeller, Wolfgang Amrhein
Using FE Calculations and Data-Based System Identification Techniques to Model the Nonlinear Behavior of PMSMs. IEEE Trans. Ind. Electron. 61 (11) (2014)
Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, Michael Kommenda, Bogdan Burlacu, Stefan Wagner
Sliding Window Symbolic Regression for Detecting Changes of System Dynamics. GPTP (2014)
Michael Kommenda, Michael Affenzeller, Bogdan Burlacu, Gabriel Kronberger, Stephan M. Winkler
Genetic programming with data migration for symbolic regression. GECCO (Companion) (2014)
Gerd Bramerdorfer, Wolfgang Amrhein, Stephan M. Winkler, Michael Affenzeller
Identification of a nonlinear PMSM model using symbolic regression and its application to current optimization scenarios. IECON (2014)
Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, Michael Kommenda, Stefan Wagner, Viktoria Dorfer, Witold Jacak, Herbert Stekel
On the use of estimated tumour marker classifications in tumour diagnosis prediction - a case study for breast cancer. Int. J. Simul. Process. Model. 8 (1) (2013)
Michael Kommenda, Michael Affenzeller, Gabriel Kronberger, Stephan M. Winkler
Nonlinear Least Squares Optimization of Constants in Symbolic Regression. EUROCAST (1) (2013)
Michael Affenzeller, Stephan M. Winkler, Gabriel Kronberger, Michael Kommenda, Bogdan Burlacu, Stefan Wagner
Gaining Deeper Insights in Symbolic Regression. GPTP (2013)
Stephan M. Winkler, Michael Affenzeller, Herbert Stekel
An Integrated Clustering and Classification Approach for the Analysis of Tumor Patient Data. EUROCAST (1) (2013)
Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller, Stefan Wagner
Effects of constant optimization by nonlinear least squares minimization in symbolic regression. GECCO (Companion) (2013)
Stephan M. Winkler, Michael Affenzeller, Herbert Stekel
Evolutionary identification of cancer predictors using clustered data: a case study for breast cancer, melanoma, and cancer in the respiratory system. GECCO (Companion) (2013)
Michael Affenzeller, Stephan M. Winkler, Herbert Stekel, Stefan Forstenlechner, Stefan Wagner
Improving the Accuracy of Cancer Prediction by Ensemble Confidence Evaluation. EUROCAST (1) (2013)
Susanne Schaller, Jaroslaw Jacak, Rene Silye, Stephan M. Winkler
Statistical Analysis of the Relationship between Spots and Structures in Microscopy Images. EUROCAST (1) (2013)
Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller, Andreas Beham, Stefan Wagner
On the Success Rate of Crossover Operators for Genetic Programming with Offspring Selection. CoRR (2013)
Bogdan Burlacu, Michael Affenzeller, Michael Kommenda, Stephan M. Winkler, Gabriel Kronberger
Visualization of genetic lineages and inheritance information in genetic programming. GECCO (Companion) (2013)
Gerald Petz, Michal P. Karpowicz, Harald Fürschuß, Andreas Auinger, Stephan M. Winkler, Susanne Schaller, Andreas Holzinger
On Text Preprocessing for Opinion Mining Outside of Laboratory Environments. AMT (2012)
Michael Kommenda, Gabriel Kronberger, Stefan Wagner, Stephan M. Winkler, Michael Affenzeller
On the architecture and implementation of tree-based genetic programming in HeuristicLab. GECCO (Companion) (2012)
Luigi del Re, Markus Hirsch, Daniel Alberer, Stephan M. Winkler
The role of data choice in data driven identification for online emission models. CIVTS (2011)
Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, Michael Kommenda, Stefan Wagner, Witold Jacak, Herbert Stekel
Analysis of Selected Evolutionary Algorithms in Feature Selection and Parameter Optimization for Data Based Tumor Marker Modeling. EUROCAST (1) (2011)
Michael Kommenda, Gabriel Kronberger, Christoph Feilmayr, Leonhard Schickmair, Michael Affenzeller, Stephan M. Winkler, Stefan Wagner
Application of Symbolic Regression on Blast Furnace and Temper Mill Datasets. EUROCAST (1) (2011)
Viktoria Dorfer, Stephan M. Winkler, Thomas Kern, Sophie A. Blank, Gerald Petz, Patrizia Faschang
On the performance of evolutionary algorithms in biomedical keyword clustering. GECCO (Companion) (2011)
Viktoria Dorfer, Stephan M. Winkler, Thomas Kern, Gerald Petz, Patrizia Faschang
Analysis of Single-Objective and Multi-Objective Evolutionary Algorithms in Keyword Cluster Optimization. EUROCAST (1) (2011)
Stephan M. Winkler, Michael Affenzeller, Stefan Wagner
Analysis of the effects of enhanced selection concepts for genetic programming based structure identification using fine-grained population diversity estimation. GECCO (Companion) (2011)
Stephan M. Winkler, Michael Affenzeller, Witold Jacak, Herbert Stekel
Identification of cancer diagnosis estimation models using evolutionary algorithms: a case study for breast cancer, melanoma, and cancer in the respiratory system. GECCO (Companion) (2011)
Stephan M. Winkler, Michael Affenzeller, Witold Jacak, Herbert Stekel
Classification of tumor marker values using heuristic data mining methods. GECCO (Companion) (2010)
Michael Affenzeller, Stefan Wagner, Stephan M. Winkler
Effective allele preservation by offspring selection: an empirical study for the TSP. Int. J. Simul. Process. Model. 6 (1) (2010)
Stephan M. Winkler
Structural Versus Evaluation Based Solutions Similarity in Genetic Programming Based System Identification. NICSO (2010)
Stephan M. Winkler, Michael Affenzeller, Stefan Wagner
Using enhanced genetic programming techniques for evolving classifiers in the context of medical diagnosis. Genet. Program. Evolvable Mach. 10 (2) (2009)
Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller, Andreas Beham, Stefan Wagner
On the Success Rate of Crossover Operators for Genetic Programming with Offspring Selection. EUROCAST (2009)
Rene Mayrhofer, Stephan M. Winkler, Helmut Hlavacs, Michael Affenzeller, Stefan Schneider
On Structural Identification of 2D Regression Functions for Indoor Bluetooth Localization. EUROCAST (2009)
Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller, Stefan Wagner
On Crossover Success Rate in Genetic Programming with Offspring Selection. EuroGP (2009)
Stephan M. Winkler, Michael Affenzeller, Stefan Wagner
Fine grained population diversity analysis for parallel genetic programming. IPDPS (2009)
Stefan Wagner, Gabriel Kronberger, Andreas Beham, Stephan M. Winkler, Michael Affenzeller
Model Driven Rapid Prototyping of Heuristic Optimization Algorithms. EUROCAST (2009)
Michael Affenzeller, Andreas Beham, Stefan Wagner, Stephan M. Winkler
About the dynamics of essential genetic information: an empirical analysis for selected GA-variants. GEC Summit (2009)
Stephan M. Winkler, Markus Hirsch, Michael Affenzeller, Luigi del Re, Stefan Wagner
Virtual Sensors for Emissions of a Diesel Engine Produced by Evolutionary System Identification. EUROCAST (2009)
Michael Affenzeller, Stephan M. Winkler, Andreas Beham, Stefan Wagner
On the Influence of Selection Schemes on the Genetic Diversity in Genetic Algorithms. EUROCAST (2009)
Stephan M. Winkler, Michael Affenzeller, Stefan Wagner
Fine-grained population diversity estimation for genetic programming based structure identification. GECCO (2008)
Andreas Beham, Stephan M. Winkler, Stefan Wagner, Michael Affenzeller
A genetic programming approach to solve scheduling problems with parallel simulation. IPDPS (2008)
Stephan M. Winkler, Michael Affenzeller, Stefan Wagner
Selection Pressure Driven Sliding Window Behavior in Genetic Programming Based Structure Identification. EUROCAST (2007)
Michael Affenzeller, Stefan Wagner, Stephan M. Winkler
Self-adaptive Population Size Adjustment for Genetic Algorithms. EUROCAST (2007)
Stefan Wagner, Stephan M. Winkler, Erik Pitzer, Gabriel Kronberger, Andreas Beham, Roland Braune, Michael Affenzeller
Benefits of Plugin-Based Heuristic Optimization Software Systems. EUROCAST (2007)
Stephan M. Winkler, Michael Affenzeller, Stefan Wagner
Advanced Genetic Programming Based Machine Learning. J. Math. Model. Algorithms 6 (3) (2007)
Michael Affenzeller, Stefan Wagner, Stephan M. Winkler
Aspects of adaptation in natural and artificial evolution. GECCO (Companion) (2007)
Stephan M. Winkler, Hajrudin Efendic, Luigi del Re, Michael Affenzeller, Stefan Wagner
Online modelling based on Genetic Programming. Int. J. Intell. Syst. Technol. Appl. 2 (2/3) (2007)
Stephan M. Winkler, Michael Affenzeller, Stefan Wagner
Advances in applying genetic programming to machine learning, focussing on classification problems. IPDPS (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Stephan M. Winkler