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ORCIDStephan M. Winkler
Stephan Winkler 0001
Person information
- affiliation: University of Applied Sciences Upper Austria, Hagenberg im Muehlkreis, Austria
Other persons with the same name
- Stephan Winkler — disambiguation page
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2020 – today
- 2025
[c84]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, Hannah Janout, Jonathan Ganz, Josef Scharinger, Marc Aubreville, Stephan M. Winkler, Matti Kiupel, Christof A. Bertram:
Abstract: Nuclear Pleomorphism in Canine Cutaneous Mast Cell Tumors. Bildverarbeitung für die Medizin 2025: 267- 2024
- [e7]Stephan Winkler
, Leonardo Trujillo, Charles Ofria, Ting Hu:
Genetic Programming Theory and Practice XX [GPTP 2023]. Springer 2024, ISBN 978-981-99-8412-1 [contents] - [e6]Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck:
Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15148, Springer 2024, ISBN 978-3-031-70054-5 [contents] - [e5]Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck:
Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15149, Springer 2024, ISBN 978-3-031-70067-5 [contents] - [e4]Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck:
Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part III. Lecture Notes in Computer Science 15150, Springer 2024, ISBN 978-3-031-70070-5 [contents] - [e3]Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck:
Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 15151, Springer 2024, ISBN 978-3-031-70084-2 [contents] - [i8]Yousef A. Radwan, Gabriel Kronberger, Stephan M. Winkler:
A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming. CoRR abs/2406.03585 (2024) - 2023
- [c83]Jonas Schurr, Andreas Haghofer, Marian Fürsatz, Hannah Janout, Sylvia Nürnberger, Stephan Winkler:
In Vitro Quantification of Cellular Spheroids in Patterned Petri Dishes. BIOIMAGING 2023: 78-85 - [c82]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 - [c81]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 - [e2]Leonardo Trujillo, Stephan M. Winkler, Sara Silva, Wolfgang Banzhaf:
Genetic Programming Theory and Practice XIX [GPTP 2022]. Springer 2023, ISBN 978-981-19-8459-4 [contents] - [i7]Philipp Fleck, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller:
Vectorial Genetic Programming - Optimizing Segments for Feature Extraction. CoRR abs/2303.03200 (2023) - [i6]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
- [j17]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) - [c80]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 - [c79]Jonas Schurr, Andreas Haghofer, Peter Lanzerstorfer, Stephan M. Winkler:
Automated Segmentation of Patterned Cells in Micropatterning Microscopy Images. BIOSTEC (Selected Papers) 2022: 34-52 - [c78]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 - [c77]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 - [c76]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 - [c75]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 - [c74]Bogdan Burlacu, Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller:
Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data. GPTP 2022: 1-30 - [e1]Wolfgang Banzhaf, Leonardo Trujillo, Stephan Winkler, Bill Worzel:
Genetic Programming Theory and Practice XVIII [GPTP 2021]. Springer 2022, ISBN 978-981-16-8112-7 [contents] - [i5]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]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
- [c73]Lukas Kammerer, Gabriel Kronberger, Stephan M. Winkler:
Empirical analysis of variance for genetic programming based symbolic regression. GECCO Companion 2021: 251-252 - [c72]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 - [c71]Philipp Fleck, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller:
Grammar-Based Vectorial Genetic Programming for Symbolic Regression. GPTP 2021: 21-43 - [c70]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 - [i3]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]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) - 2020
- [j16]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]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) - [c69]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 - [c68]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
2010 – 2019
- 2019
- [c67]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 - [c66]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 - [c65]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
- [j14]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) - [c64]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 - [p6]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 - 2017
- [j13]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) - [c63]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 - [c62]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 - [c61]Bogdan Burlacu, Michael Affenzeller, Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler:
Analysis of Schema Frequencies in Genetic Programming. EUROCAST (1) 2017: 432-438 - [c60]José Ignacio Hidalgo, J. Manuel Colmenar, Gabriel Kronberger, Stephan M. Winkler:
Glucose Prognosis by Grammatical Evolution. EUROCAST (1) 2017: 455-463 - [c59]Stephan M. Winkler, J. Rafael Sendra:
Fitness Landscape Analysis in the Optimization of Coefficients of Curve Parametrizations. EUROCAST (1) 2017: 464-472 - [c58]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 - [c57]Bogdan Burlacu, Michael Affenzeller, Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler:
Schema Analysis in Tree-Based Genetic Programming. GPTP 2017: 17-37 - 2016
- [j12]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]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]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) - [c56]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 - [c55]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 - [c54]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
- [j9]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]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) - [c53]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 - [c52]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 - [c51]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 - [c50]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 - [c49]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 - [c48]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 - [c47]Gabriel Kronberger, Michael Kommenda, Stephan M. Winkler, Michael Affenzeller:
Using Contextual Information in Sequential Search for Grammatical Optimization Problems. EUROCAST 2015: 417-424 - [c46]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 - [c45]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 - [c44]Michael Kommenda, Gabriel Kronberger, Michael Affenzeller, Stephan M. Winkler, Bogdan Burlacu:
Evolving Simple Symbolic Regression Models by Multi-Objective Genetic Programming. GPTP 2015: 1-19 - [c43]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 - [p5]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 - [p4]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]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 - 2014
- [j7]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) - [c42]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]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]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]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
- [j6]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) - [c38]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]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]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]Michael Kommenda, Michael Affenzeller, Gabriel Kronberger, Stephan M. Winkler:
Nonlinear Least Squares Optimization of Constants in Symbolic Regression. EUROCAST (1) 2013: 420-427 - [c34]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]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]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]Michael Affenzeller, Stephan M. Winkler, Gabriel Kronberger, Michael Kommenda, Bogdan Burlacu, Stefan Wagner:
Gaining Deeper Insights in Symbolic Regression. GPTP 2013: 175-190 - [i1]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) - 2012
- [j5]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) - [c30]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]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 - [p2]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 - 2011
- [c28]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]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]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]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]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]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]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
- [j4]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) - [c21]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]Stephan M. Winkler:
Structural Versus Evaluation Based Solutions Similarity in Genetic Programming Based System Identification. NICSO 2010: 269-282
2000 – 2009
- 2009
- [b1]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 - [j3]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) - [c19]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]Stefan Wagner, Gabriel Kronberger, Andreas Beham, Stephan M. Winkler, Michael Affenzeller:
Model Driven Rapid Prototyping of Heuristic Optimization Algorithms. EUROCAST 2009: 729-736 - [c17]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]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 - [c15]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]Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller, Stefan Wagner:
On Crossover Success Rate in Genetic Programming with Offspring Selection. EuroGP 2009: 232-243 - [c13]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]Stephan M. Winkler, Michael Affenzeller, Stefan Wagner:
Fine grained population diversity analysis for parallel genetic programming. IPDPS 2009: 1-8 - [p1]Michael Affenzeller, Andreas Beham, Monika Kofler, Gabriel Kronberger, Stefan A. Wagner, Stephan M. Winkler:
Metaheuristic Optimization. Hagenberg Research 2009: 103-155 - 2008
- [c11]Stephan M. Winkler, Michael Affenzeller, Stefan Wagner:
Fine-grained population diversity estimation for genetic programming based structure identification. GECCO 2008: 1435-1436 - [c10]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
- [j2]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]Stephan M. Winkler, Michael Affenzeller, Stefan Wagner:
Advanced Genetic Programming Based Machine Learning. J. Math. Model. Algorithms 6(3): 455-480 (2007) - [c9]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]Stephan M. Winkler, Michael Affenzeller, Stefan Wagner:
Selection Pressure Driven Sliding Window Behavior in Genetic Programming Based Structure Identification. EUROCAST 2007: 788-795 - [c7]Michael Affenzeller, Stefan Wagner, Stephan M. Winkler:
Self-adaptive Population Size Adjustment for Genetic Algorithms. EUROCAST 2007: 820-828 - [c6]Michael Affenzeller, Stefan Wagner, Stephan M. Winkler:
Aspects of adaptation in natural and artificial evolution. GECCO (Companion) 2007: 2595-2602 - 2006
- [c5]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]Stephan M. Winkler, Michael Affenzeller, Stefan Wagner:
Advances in applying genetic programming to machine learning, focussing on classification problems. IPDPS 2006 - 2005
- [c3]Stephan M. Winkler, Hajrudin Efendic, Michael Affenzeller, Luigi del Re, Stefan Wagner:
On-Line Modelling Based on Genetic Programming. ALaRT 2005: 119-130 - [c2]Michael Affenzeller, Stefan Wagner, Stephan M. Winkler:
Goal-oriented preservation of essential genetic information by offspring selection. GECCO 2005: 1595-1596 - [c1]Michael Affenzeller, Stefan Wagner, Stephan M. Winkler:
GA-Selection Revisited from an ES-Driven Point of View. IWINAC (2) 2005: 262-271
Coauthor Index
[e6] [e5] [e4] [e3] [c82] [i7] [c77] [c74] [i5] [c72] [c71] [i3] [i2] [c67] [c66] [c65] [j14] [c64] [c63] [c62] [c61] [c58] [c57] [j12] [c55] [c54] [j8] [c50] [c49] [c48] [c47] [c44] [p5] [p4] [p3] [j7] [c42] [c41] [c40] [c39] [j6] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [i1] [c29] [p2] [c27] [c26] [c24] [c23] [j4] [c21] [b1] [j3] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [p1] [c11] [c10] [j2] [j1] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
Stefan Wagner 0002
aka: Stefan A. Wagner
aka: Stefan A. Wagner
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