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Stephan M. Winkler

Stephan Winkler 0001

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affiliation: University of Applied Sciences Upper Austria, Hagenberg im Muehlkreis, Austria

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2009
[b1]
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Michael Affenzeller, Stephan M. Winkler, Stefan Wagner, Andreas Beham:
Genetic Algorithms and Genetic Programming - Modern Concepts and Practical Applications. CRC Press 2009, ISBN 978-1-58488-629-7, pp. I-XXVII, 1-365

Journal Articles

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2022
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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): 21 (2022)
2020
[j16]
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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): 11283-11295 (2020)
[j15]
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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): 17847-17862 (2020)
2018
[j14]
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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: 610-624 (2018)
2017
[j13]
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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): 142 (2017)
2016
[j12]
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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): 504-513 (2016)
[j11]
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J. Rafael Sendra, Stephan M. Winkler:
A heuristic and evolutionary algorithm to optimize the coefficients of curve parametrizations. J. Comput. Appl. Math. 305: 18-35 (2016)
[j10]
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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: 499-500 (2016)
2015
[j9]
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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: 252:1-252:10 (2015)
[j8]
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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): 3401-3412 (2015)
2014
[j7]
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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): 6454-6462 (2014)
2013
[j6]
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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): 29-41 (2013)
2012
[j5]
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Christoph Bueschl, Bernhard Kluger, Franz Berthiller, Gerald Lirk, Stephan Winkler, Rudolf Krska, Rainer Schuhmacher:
MetExtract: a new software tool for the automated comprehensive extraction of metabolite-derived LC/MS signals in metabolomics research. Bioinform. 28(5): 736-738 (2012)
2010
[j4]
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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): 29-39 (2010)
2009
[j3]
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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): 111-140 (2009)
2007
[j2]
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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): 255-270 (2007)
[j1]
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Stephan M. Winkler, Michael Affenzeller, Stefan Wagner:
Advanced Genetic Programming Based Machine Learning. J. Math. Model. Algorithms 6(3): 455-480 (2007)

Conference and Workshop Papers

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2023
[c79]
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Philipp Fleck, Stephan M. Winkler, Michael Kommenda, Sara Silva, Leonardo Vanneschi, Michael Affenzeller:
Evolutionary Algorithms for Segment Optimization in Vectorial GP. GECCO Companion 2023: 439-442
[c78]
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Hannah Janout, Thomas Paier, Carina Ringelhahn, Michael Heckmann, Andreas Haghofer, Gabriel Kronberger, Stephan Winkler:
Identification of Surrogate Models for the Prediction of Degrees of Freedom within a Tolerance Chain. ISM 2023: 796-805
2022
[c77]
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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: 16-33
[c76]
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Jonas Schurr, Andreas Haghofer, Peter Lanzerstorfer, Stephan M. Winkler:
Automated Segmentation of Patterned Cells in Micropatterning Microscopy Images. BIOSTEC (Selected Papers) 2022: 34-52
[c75]
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Andreas Haghofer, Thomas Ebner, Philipp Kainz, Michael Weißensteiner, Nassim Ghaffari-Tabrizi-Wizsy, Isra Hatab, Josef Scharinger, Stephan Winkler:
Automated Data Adaptation for the Segmentation of Blood Vessels. BIOSTEC (Selected Papers) 2022: 53-72
[c74]
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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: 130-138
[c73]
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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: 173-180
[c72]
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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: 181-188
2021
[c71]
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Lukas Kammerer, Gabriel Kronberger, Stephan M. Winkler:
Empirical analysis of variance for genetic programming based symbolic regression. GECCO Companion 2021: 251-252
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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: 1579-1586
[c69]
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Stefan Anlauf, Andreas Haghofer, Karl Dirnberger, Stephan M. Winkler:
Using Heterogeneous Model Ensembles to Improve the Prediction of Yeast Contamination in Peppermint. ISM 2021: 1194-1200
2020
[c68]
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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: 135-142
[c67]
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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: 141-145
2019
[c66]
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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: 288-295
[c65]
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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: 405-412
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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: 79-99
2018
[c63]
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Gabriel Kronberger, Lukas Kammerer, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller:
Cluster Analysis of a Symbolic Regression Search Space. GPTP 2018: 85-102
2017
[c62]
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Gabriel Kronberger, Bogdan Burlacu, Michael Kommenda, Stephan M. Winkler, Michael Affenzeller:
Measures for the Evaluation and Comparison of Graphical Model Structures. EUROCAST (1) 2017: 283-290
[c61]
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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: 424-431
[c60]
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Bogdan Burlacu, Michael Affenzeller, Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler:
Analysis of Schema Frequencies in Genetic Programming. EUROCAST (1) 2017: 432-438
[c59]
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José Ignacio Hidalgo, J. Manuel Colmenar, Gabriel Kronberger, Stephan M. Winkler:
Glucose Prognosis by Grammatical Evolution. EUROCAST (1) 2017: 455-463
[c58]
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Stephan M. Winkler, J. Rafael Sendra:
Fitness Landscape Analysis in the Optimization of Coefficients of Curve Parametrizations. EUROCAST (1) 2017: 464-472
[c57]
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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: 1553-1558
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Bogdan Burlacu, Michael Affenzeller, Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler:
Schema Analysis in Tree-Based Genetic Programming. GPTP 2017: 17-37
2016
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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: 1393-1400
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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: 1-17
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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: 51-63
2015
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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: 302-309
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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: 310-317
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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: 318-325
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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: 326-333
[c48]
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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: 350-358
[c47]
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Andreas Beham, Judith Fechter, Michael Kommenda, Stefan Wagner, Stephan M. Winkler, Michael Affenzeller:
Optimization Strategies for Integrated Knapsack and Traveling Salesman Problems. EUROCAST 2015: 359-366
[c46]
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Gabriel Kronberger, Michael Kommenda, Stephan M. Winkler, Michael Affenzeller:
Using Contextual Information in Sequential Search for Grammatical Optimization Problems. EUROCAST 2015: 417-424
[c45]
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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: 1327-1334
[c44]
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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: 1335-1341
[c43]
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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: 623-634
2014
[c42]
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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: 1337-1344
[c41]
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Michael Kommenda, Michael Affenzeller, Bogdan Burlacu, Gabriel Kronberger, Stephan M. Winkler:
Genetic programming with data migration for symbolic regression. GECCO (Companion) 2014: 1361-1366
[c40]
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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: 91-107
[c39]
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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: 628-633
2013
[c38]
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Susanne Schaller, Jaroslaw Jacak, Rene Silye, Stephan M. Winkler:
Statistical Analysis of the Relationship between Spots and Structures in Microscopy Images. EUROCAST (1) 2013: 211-218
[c37]
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Michael Affenzeller, Stephan M. Winkler, Herbert Stekel, Stefan Forstenlechner, Stefan Wagner:
Improving the Accuracy of Cancer Prediction by Ensemble Confidence Evaluation. EUROCAST (1) 2013: 316-323
[c36]
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Stephan M. Winkler, Michael Affenzeller, Herbert Stekel:
An Integrated Clustering and Classification Approach for the Analysis of Tumor Patient Data. EUROCAST (1) 2013: 388-395
[c35]
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Michael Kommenda, Michael Affenzeller, Gabriel Kronberger, Stephan M. Winkler:
Nonlinear Least Squares Optimization of Constants in Symbolic Regression. EUROCAST (1) 2013: 420-427
[c34]
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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: 1121-1128
[c33]
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Bogdan Burlacu, Michael Affenzeller, Michael Kommenda, Stephan M. Winkler, Gabriel Kronberger:
Visualization of genetic lineages and inheritance information in genetic programming. GECCO (Companion) 2013: 1351-1358
[c32]
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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: 1463-1470
[c31]
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Michael Affenzeller, Stephan M. Winkler, Gabriel Kronberger, Michael Kommenda, Bogdan Burlacu, Stefan Wagner:
Gaining Deeper Insights in Symbolic Regression. GPTP 2013: 175-190
2012
[c30]
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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: 618-629
[c29]
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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: 101-108
2011
[c28]
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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: 46-51
[c27]
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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: 335-342
[c26]
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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: 400-407
[c25]
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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: 408-415
[c24]
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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: 195-196
[c23]
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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: 503-510
[c22]
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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: 511-518
2010
[c21]
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Stephan M. Winkler, Michael Affenzeller, Witold Jacak, Herbert Stekel:
Classification of tumor marker values using heuristic data mining methods. GECCO (Companion) 2010: 1915-1922
[c20]
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Stephan M. Winkler:
Structural Versus Evaluation Based Solutions Similarity in Genetic Programming Based System Identification. NICSO 2010: 269-282
2009
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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: 657-664
[c18]
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Stefan Wagner, Gabriel Kronberger, Andreas Beham, Stephan M. Winkler, Michael Affenzeller:
Model Driven Rapid Prototyping of Heuristic Optimization Algorithms. EUROCAST 2009: 729-736
[c17]
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Michael Affenzeller, Stephan M. Winkler, Andreas Beham, Stefan Wagner:
On the Influence of Selection Schemes on the Genetic Diversity in Genetic Algorithms. EUROCAST 2009: 777-784
[c16]
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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: 793-800
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Rene Mayrhofer, Stephan M. Winkler, Helmut Hlavacs, Michael Affenzeller, Stefan Schneider:
On Structural Identification of 2D Regression Functions for Indoor Bluetooth Localization. EUROCAST 2009: 801-808
[c14]
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Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller, Stefan Wagner:
On Crossover Success Rate in Genetic Programming with Offspring Selection. EuroGP 2009: 232-243
[c13]
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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: 787-790
[c12]
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Stephan M. Winkler, Michael Affenzeller, Stefan Wagner:
Fine grained population diversity analysis for parallel genetic programming. IPDPS 2009: 1-8
2008
[c11]
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Stephan M. Winkler, Michael Affenzeller, Stefan Wagner:
Fine-grained population diversity estimation for genetic programming based structure identification. GECCO 2008: 1435-1436
[c10]
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Andreas Beham, Stephan M. Winkler, Stefan Wagner, Michael Affenzeller:
A genetic programming approach to solve scheduling problems with parallel simulation. IPDPS 2008: 1-5
2007
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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: 747-754
[c8]
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Stephan M. Winkler, Michael Affenzeller, Stefan Wagner:
Selection Pressure Driven Sliding Window Behavior in Genetic Programming Based Structure Identification. EUROCAST 2007: 788-795
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Michael Affenzeller, Stefan Wagner, Stephan M. Winkler:
Self-adaptive Population Size Adjustment for Genetic Algorithms. EUROCAST 2007: 820-828
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Michael Affenzeller, Stefan Wagner, Stephan M. Winkler:
Aspects of adaptation in natural and artificial evolution. GECCO (Companion) 2007: 2595-2602
2006
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Stephan M. Winkler, Michael Affenzeller, Stefan Wagner:
Sets of receiver operating characteristic curves and their use in the evaluation of multi-class classification. GECCO 2006: 1601-1602
[c4]
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Stephan M. Winkler, Michael Affenzeller, Stefan Wagner:
Advances in applying genetic programming to machine learning, focussing on classification problems. IPDPS 2006
2005
[c3]
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Stephan M. Winkler, Hajrudin Efendic, Michael Affenzeller, Luigi del Re, Stefan Wagner:
On-Line Modelling Based on Genetic Programming. ALaRT 2005: 119-130
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Michael Affenzeller, Stefan Wagner, Stephan M. Winkler:
Goal-oriented preservation of essential genetic information by offspring selection. GECCO 2005: 1595-1596
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Michael Affenzeller, Stefan Wagner, Stephan M. Winkler:
GA-Selection Revisited from an ES-Driven Point of View. IWINAC (2) 2005: 262-271

Parts in Books or Collections

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2018
[p6]
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José Ignacio Hidalgo, J. Manuel Colmenar, J. Manuel Velasco, Gabriel Kronberger, Stephan M. Winkler, Oscar Garnica, Juan Lanchares:
Identification of Models for Glucose Blood Values in Diabetics by Grammatical Evolution. Handbook of Grammatical Evolution 2018: 367-393
2015
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Bogdan Burlacu, Michael Affenzeller, Stephan M. Winkler, Michael Kommenda, Gabriel Kronberger:
Methods for Genealogy and Building Block Analysis in Genetic Programming. Computational Intelligence and Efficiency in Engineering Systems 2015: 61-74
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Michael Kommenda, Michael Affenzeller, Gabriel Kronberger, Bogdan Burlacu, Stephan M. Winkler:
Multi-Population Genetic Programming with Data Migration for Symbolic Regression. Computational Intelligence and Efficiency in Engineering Systems 2015: 75-87
[p3]
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Stephan M. Winkler, Susanne Schaller, Daniela Borgmann, Lisa Obritzberger, Viktoria Dorfer, Christian Haider, Sandra Mayr, Peter Lanzerstorfer, Claudia Loimayr, Simone Hennerbichler-Lugscheider, Andrea Lindenmair, Heinz Redl, Michael Affenzeller, Julian Weghuber, Jaroslaw Jacak:
Identification and Classification of Objects and Motions in Microscopy Images of Biological Samples Using Heuristic Algorithms. Computational Intelligence and Efficiency in Engineering Systems 2015: 103-117
2012
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Michael Affenzeller, Stefan Wagner, Stephan M. Winkler, Andreas Beham:
Analysis of Allele Distribution Dynamics in Different Genetic Algorithms. Recent Advances in Intelligent Engineering Systems 2012: 3-29
2009
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Michael Affenzeller, Andreas Beham, Monika Kofler, Gabriel Kronberger, Stefan A. Wagner, Stephan M. Winkler:
Metaheuristic Optimization. Hagenberg Research 2009: 103-155

Informal and Other Publications

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2023
[i7]
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Philipp Fleck, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller:
Vectorial Genetic Programming - Optimizing Segments for Feature Extraction. CoRR abs/2303.03200 (2023)
[i6]
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  - journals/corr/abs-2309-15031
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  - https://dblp.org/rec/journals/corr/abs-2309-15031
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 abs/2309.15031 (2023)
2022
[i5]
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  - journals/corr/abs-2206-06422
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  - https://dblp.org/rec/journals/corr/abs-2206-06422
Bogdan Burlacu, Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller:
Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data. CoRR abs/2206.06422 (2022)
[i4]
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  - journals/corr/abs-2209-13852
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  - https://dblp.org/rec/journals/corr/abs-2209-13852
David Jödicke, Daniel Parra, Gabriel Kronberger, Stephan M. Winkler:
Identifying Differential Equations to predict Blood Glucose using Sparse Identification of Nonlinear Systems. CoRR abs/2209.13852 (2022)
2021
[i3]
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  - journals/corr/abs-2109-13895
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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 abs/2109.13895 (2021)
[i2]
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  - journals/corr/abs-2109-13898
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  - https://dblp.org/rec/journals/corr/abs-2109-13898
Gabriel Kronberger, Lukas Kammerer, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller:
Cluster Analysis of a Symbolic Regression Search Space. CoRR abs/2109.13898 (2021)
2013
[i1]
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  - journals/corr/KronbergerWAB013
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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 abs/1309.5896 (2013)

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