Genetic Programming Bibliography entries for Stephan M Winkler

up to index Created by W.Langdon from gp-bibliography.bib Revision:1.8051

GP coauthors/coeditors: Michael Affenzeller, Stefan Wagner, Andreas Beham, C Fischer, Gabriel Kronberger, Stefan Forstenlechner, Michael Kommenda, Herbert Stekel, Bogdan Burlacu, Viktoria Dorfer, Sebastian Dorl, Gerhard Halmerbauer, Tilman Koenigswieser, Julia Vetter, Stefan Anlauf, Andreas Haghofer, Karl Dirnberger, Wolfgang Banzhaf, Leonardo Trujillo, William P Worzel, Sara Silva, Gerd Bramerdorfer, Guenther Weidenholzer, Siegfried Silber, Wolfgang Amrhein, J Manuel Colmenar, Esther Maqueda, Marta Botella-Serrano, Jose Ignacio Hidalgo Perez, Luigi del Re, Peter Langthaler, Christian Furtmueller, Markus Hirsch, Daniel Alberer, Sergey Maltsev, Stephan Dreiseitl, Karl Mechtler, Philipp Fleck, Leonardo Vanneschi, Oscar Garnica, J Lanchares, Jose Manuel Velasco Cabo, Charles Ofria, Ting Hu, Hannah Janout, Thomas Paier, Carina Ringelhahn, Michael Heckmann, David Joedicke, Sergio Contador, Lukas Kammerer, Kathrin Kefer, Roland Hanghofer, Patrick Kefer, Markus Stoeger, Bernd Hofer, Leonhard Schickmair, Benjamin Lindner, Christoph Feilmayr, Thomas Burgler, Edwin Lughofer, Susanne Saminger-Platz, Andreas Promberger, Falk Nickel, Sergio Luengo, David F Barrero, Bonifacio Castano, Yousef A Radwan, Marina Strobl, Jose Antonio Rubio, Andreas Scheibenpflug, Erik Pitzer, Stefan Vonolfen, Monika Kofler, Hajrudin Efendic, Witold Jacak, Susanne Schaller, Stefan Fink,

Genetic Programming Articles by Stephan M Winkler

  1. Hannah Janout and Thomas Paier and Carina Ringelhahn and Michael Heckmann and Andreas Haghofer and Gabriel Kronberger and Stephan Winkler. Identification of Surrogate Models for the Prediction of Degrees of Freedom within a Tolerance Chain. Procedia Computer Science, 217:796-805, 2023. 4th International Conference on Industry 4.0 and Smart Manufacturing. details

  2. Kathrin Kefer and Roland Hanghofer and Patrick Kefer and Markus Stoeger and Bernd Hofer and Michael Affenzeller and Stephan Winkler. Simulation-Based Optimization of Residential Energy Flows Using White Box Modeling by Genetic Programming. Energy and Buildings, 258:111829, 2022. details

  3. Stefan Anlauf and Andreas Haghofer and Karl Dirnberger and Stephan M. Winkler. Using Heterogeneous Model Ensembles to Improve the Prediction of Yeast Contamination in Peppermint. Procedia Computer Science, 200:1194-1200, 2022. 3rd International Conference on Industry 4.0 and Smart Manufacturing. details

  4. Gabriel Kronberger and J. Manuel Colmenar and Stephan M. Winkler and Jose Ignacio Hidalgo. Multilayer analysis of population diversity in grammatical evolution for symbolic regression. Soft Comput, 24(15):11283-11295, 2020. details

  5. Gabriel Kronberger and Michael Kommenda and Edwin Lughofer and Susanne Saminger-Platz and Andreas Promberger and Falk Nickel and Stephan Winkler and Michael Affenzeller. Using robust generalized fuzzy modeling and enhanced symbolic regression to model tribological systems. Applied Soft Computing, 69:610-624, 2018. details

  6. J. Ignacio Hidalgo and J. Manuel Colmenar and Gabriel Kronberger and Stephan M. Winkler and Oscar Garnica and Juan Lanchares. Data Based Prediction of Blood Glucose Concentrations Using Evolutionary Methods. Journal of Medical Systems, 41(9):142, 2017. Special issue on Patient Facing Systems. details

  7. Gerd Bramerdorfer and Stephan M. Winkler and Michael Kommenda and Guenther Weidenholzer and Siegfried Silber and Gabriel Kronberger and Michael Affenzeller and Wolfgang Amrhein. Using FE Calculations and Data-Based System Identification Techniques to Model the Nonlinear Behavior of PMSMs. IEEE Transactions on Industrial Electronics, 61(11):6454-6462, 2014. details

  8. Stephan M. Winkler and Gabriel K. Kronberger and Michael Affenzeller and Herbert Stekel. Variable Interaction Networks in Medical Data. International Journal of Privacy and Health Information Management (IJPHIM), 1(2):1-16, 2014. details

  9. Stephan M. Winkler and Michael Affenzeller and Gabriel Kronberger and Michael Kommenda and Stefan Wagner and Viktoria Dorfer and Witold Jacak and Herbert Stekel. On the use of estimated tumour marker classifications in tumour diagnosis prediction - a case study for breast cancer. International Journal of Simulation and Process Modelling, 8(1):29-41, 2013. details

  10. S. M. Winkler and M. Affenzeller and G. K. Kronberger and M. Kommenda and S. Wagner and W. Jacak and H. Stekel. On the Use of Estimated Tumor Marker Classifications in Tumor Diagnosis Prediction - A Case Study for Breast Cancer. International Journal of Simulation and Process Modelling, 2011. details

  11. Michael Affenzeller and Stefan Wagner and Stephan M. Winkler. Effective allele preservation by offspring selection: an empirical study for the TSP. International Journal of Simulation and Process Modelling, 6(1):29-39, 2010. details

  12. Stephan M. Winkler and Michael Affenzeller and Stefan Wagner. Using enhanced genetic programming techniques for evolving classifiers in the context of medical diagnosis. Genetic Programming and Evolvable Machines, 10(2):111-140, 2009. details

  13. S. M. Winkler and M. Affenzeller and S. Wagner. On the Reliability of Nonlinear Modeling Using Enhanced Genetic Programming Techniques. Topics on Chaotic Systems - Selected Papers from CHAOS 2008 International Conference, 1(1):24-31, 2009. details

  14. Stephan Winkler and Hajrudin Efendic and Luigi Del Re and Michael Affenzeller and Stefan Wagner. Online modelling based on Genetic Programming. International Journal of Intelligent Systems Technologies and Applications, 2(2/3):255-270, 2007. details

Genetic Programming Books by Stephan M Winkler

Genetic Programming PhD doctoral thesis Stephan M Winkler

Genetic Programming Conference proceedings edited by Stephan M Winkler

Genetic Programming conference papers by Stephan M Winkler

  1. Stephan Winkler. How to measure explainability and interpretability of machine learning results. In Wolfgang Banzhaf and Ting Hu and Alexander Lalejini and Stephan Winkler editors, Genetic Programming Theory and Practice XXI, University of Michigan, USA, 2024. details

  2. Philipp Fleck and Stephan Winkler and Michael Kommenda and Sara Silva and Leonardo Vanneschi and Michael Affenzeller. Evolutionary Algorithms for Segment Optimization in Vectorial GP. In Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen editors, Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 439-442, Lisbon, Portugal, 2023. Association for Computing Machinery. details

  3. Marina Strobl and Julia Vetter and Gerhard Halmerbauer and Tilman Koenigswieser and Stephan M. Winkler. Using Explainable Artificial Intelligence for Data Based Detection of Complications in Records of Patient Treatments. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, 18th International Conference on Computer Aided Systems Theory, EUROCAST 2022, volume 13789, pages 173-180, Las Palmas de Gran Canaria, Spain, 2022. Springer. Revised Selected Papers. details

  4. Bogdan Burlacu and Michael Kommenda and Gabriel Kronberger and Stephan M. Winkler and Michael Affenzeller. Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data. In Leonardo Trujillo and Stephan M. Winkler and Sara Silva and Wolfgang Banzhaf editors, Genetic Programming Theory and Practice XIX, pages 1-30, Ann Arbor, USA, 2022. Springer. details

  5. Kathrin Kefer and Roland Hanghofer and Patrick Kefer and Markus Stoeger and Bernd Hofer and Michael Affenzeller and Stephan Winkler. Multi Tree Operators for Genetic Programming to Identify Optimal Energy Flow Controllers. In Silvino Fernandez Alzueta and Thomas Stuetzle and Pablo Valledor editors, 6th Workshop on Industrial Applications of Metaheuristics, pages 1579-1586, internet, 2021. Association for Computing Machinery. details

  6. Lukas Kammerer and Gabriel Kronberger and Stephan Winkler. Empirical Analysis of Variance for Genetic Programming based Symbolic Regression. In Francisco Chicano and Alberto Tonda and Krzysztof Krawiec and Marde Helbig and Christopher W. Cleghorn and Dennis G. Wilson and Georgios Yannakakis and Luis Paquete and Gabriela Ochoa and Jaume Bacardit and Christian Gagne and Sanaz Mostaghim and Laetitia Jourdan and Oliver Schuetze and Petr Posik and Carlos Segura and Renato Tinos and Carlos Cotta and Malcolm Heywood and Mengjie Zhang and Leonardo Trujillo and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Fuyuki Ishikawa and Inmaculada Medina-Bulo and Frank Neumann and Andrew M. Sutton editors, Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion, pages 251-252, internet, 2021. Association for Computing Machinery. details

  7. Philipp Fleck and Stephan Winkler and Michael Kommenda and Michael Affenzeller. Grammar-based Vectorial Genetic Programming for Symbolic Regression. In Wolfgang Banzhaf and Leonardo Trujillo and Stephan Winkler and Bill Worzel editors, Genetic Programming Theory and Practice XVIII, pages 21-43, East Lansing, USA, 2021. Springer. details

  8. David Joedicke and Gabriel Kronberger and Jose Manuel Colmenar and Stephan M. Winkler and Jose Manuel Velasco and Sergio Contador and Jose Ignacio Hidalgo. Analysis of the performance of Genetic Programming on the Blood Glucose Level Prediction Challenge 2020. In Kerstin Bach and Razvan C. Bunescu and Cindy Marling and Nirmalie Wiratunga editors, Proceedings of the 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence, KDH@ECAI 2020, volume 2675, pages 141-145, Santiago de Compostela, Spain and Virtually, 2020. CEUR-WS.org. details

  9. Kathrin Kefer and Roland Hanghofer and Patrick Kefer and Markus Stoeger and Michael Affenzeller and Stephan Winkler and Stefan Wagner and Bernd Hofer. A Model-Based Learning Approach for Controlling the Energy Flows of a Residential Household Using Genetic Programming to Perform Symbolic Regression. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, International Conference on Computer Aided Systems Theory, EUROCAST 2019, volume 12013, pages 405-412, Las Palmas de Gran Canaria, Spain, 2019. Springer. details

  10. Lukas Kammerer and Gabriel Kronberger and Bogdan Burlacu and Stephan M. Winkler and Michael Kommenda and Michael Affenzeller. Symbolic Regression by Exhaustive Search: Reducing the Search Space Using Syntactical Constraints and Efficient Semantic Structure Deduplication. In Wolfgang Banzhaf and Erik Goodman and Leigh Sheneman and Leonardo Trujillo and Bill Worzel editors, Genetic Programming Theory and Practice XVII, pages 79-99, East Lansing, MI, USA, 2019. Springer. details

  11. Michael Affenzeller and Bogdan Burlacu and Viktoria Dorfer and Sebastian Dorl and Gerhard Halmerbauer and Tilman Koenigswieser and Michael Kommenda and Julia Vetter and Stephan M. Winkler. White Box vs. Black Box Modeling: On the Performance of Deep Learning, Random Forests, and Symbolic Regression in Solving Regression Problems. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, 17th International Conference, Computer Aided Systems Theory - EUROCAST 2019, volume 12013, pages 288-295, Las Palmas de Gran Canaria, Spain, 2019. Springer. Revised Selected Papers, Part I. details

  12. Gabriel Kronberger and Lukas Kammerer and Bogdan Burlacu and Stephan M. Winkler and Michael Kommenda and Michael Affenzeller. Cluster Analysis of a Symbolic Regression Search Space. In Wolfgang Banzhaf and Lee Spector and Leigh Sheneman editors, Genetic Programming Theory and Practice XVI, pages 85-102, Ann Arbor, USA, 2018. Springer. details

  13. Bogdan Burlacu and Michael Affenzeller and Michael Kommenda and Gabriel Kronberger and Stephan Winkler. Schema Analysis in Tree-Based Genetic Programming. In Wolfgang Banzhaf and Randal S. Olson and William Tozier and Rick Riolo editors, Genetic Programming Theory and Practice XV, pages 17-37, University of Michigan in Ann Arbor, USA, 2017. Springer. details

  14. Jose Ignacio Hidalgo and J. Manuel Colmenar and Gabriel Kronberger and Stephan M. Winkler. Glucose Prognosis by Grammatical Evolution. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, 16th International Conference on Computer Aided Systems Theory, EUROCAST 2017, Part I, volume 10671, pages 455-463, Las Palmas de Gran Canaria, Spain, 2017. Springer. Revised Selected Papers. details

  15. Bogdan Burlacu and Michael Affenzeller and Michael Kommenda and Gabriel Kronberger and Stephan M. Winkler. Analysis of Schema Frequencies in Genetic Programming. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, 16th International Conference on Computer Aided Systems Theory, EUROCAST 2017, Part I, volume 10671, pages 432-438, Las Palmas de Gran Canaria, Spain, 2017. Springer. Revised Selected Papers. details

  16. Michael Affenzeller and Stephan M. Winkler and Bogdan Burlacu and Gabriel Kronberger and Michael Kommenda and Stefan Wagner. Dynamic Observation of Genotypic and Phenotypic Diversity for Different Symbolic Regression GP Variants. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 1553-1558, Berlin, Germany, 2017. ACM. details

  17. Gabriel K. Kronberger and Bogdan Burlacu and Michael Kommenda and Stephan Winkler and Michael Affenzeller. Measures for the Evaluation and Comparison of Graphical Model Structures. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, Computer Aided Systems Theory, EUROCAST 2017, volume 10671, pages 283-290, Las Palmas de Gran Canaria, Spain, 2017. details

  18. Michael Affenzeller and Bogdan Burlacu and Stephan M. Winkler and Michael Kommenda and Gabriel K. Kronberger and Stefan Wagner. Offspring Selection Genetic Algorithm Revisited: Improvements in Efficiency by Early Stopping Criteria in the Evaluation of Unsuccessful Individuals. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, 16th International Conference on Computer Aided Systems Theory, EUROCAST 2017, volume 10671, pages 424-431, Las Palmas de Gran Canaria, Spain, 2017. Springer. details

  19. Stephan M. Winkler and Michael Affenzeller and Bogdan Burlacu and Gabriel Kronberger and Michael Kommenda and Philipp Fleck. Similarity-based Analysis of Population Dynamics in Genetic Programming Performing Symbolic Regression. In Rick Riolo and Bill Worzel and Brian Goldman and Bill Tozier editors, Genetic Programming Theory and Practice XIV, pages 1-17, Ann Arbor, USA, 2016. Springer. details

  20. J. Manuel Colmenar and Stephan M. Winkler and Gabriel Kronberger and Esther Maqueda and Marta Botella and J. Ignacio Hidalgo. Predicting Glycemia in Diabetic Patients By Evolutionary Computation and Continuous Glucose Monitoring. In Tobias Friedrich and Frank Neumann and Andrew M. Sutton and Martin Middendorf and Xiaodong Li and Emma Hart and Mengjie Zhang and Youhei Akimoto and Peter A. N. Bosman and Terry Soule and Risto Miikkulainen and Daniele Loiacono and Julian Togelius and Manuel Lopez-Ibanez and Holger Hoos and Julia Handl and Faustino Gomez and Carlos M. Fonseca and Heike Trautmann and Alberto Moraglio and William F. Punch and Krzysztof Krawiec and Zdenek Vasicek and Thomas Jansen and Jim Smith and Simone Ludwig and JJ Merelo and Boris Naujoks and Enrique Alba and Gabriela Ochoa and Simon Poulding and Dirk Sudholt and Timo Koetzing editors, GECCO '16 Companion: Proceedings of the Companion Publication of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 1393-1400, Denver, Colorado, USA, 2016. ACM. details

  21. Sergio Luengo and Stephan Winkler and David F. Barrero and Bonifacio Castano. Optimization of Trading Rules for the Spanish Stock Market by Genetic Programming. In Moonis Ali and Young Sig Kwon and Chang-Hwan Lee and Juntae Kim and Yongdai Kim editors, 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015, volume 9101, pages 623-634, Seoul, South Korea, 2015. Springer. details

  22. J. Manuel Velasco and Stephan Winkler and J. Ignacio Hidalgo and Oscar Garnica and Juan Lanchares and J. Manuel Colmenar and Esther Maqueda and Marta Botella and Jose-Antonio Rubio. Data-Based Identification of Prediction Models for Glucose. In Stephen L. Smith and Stefano Cagnoni and Robert M. Patton editors, GECCO 2015 Medical Applications of Genetic and Evolutionary Computation (MedGEC'15) Workshop, pages 1327-1334, Madrid, Spain, 2015. ACM. details

  23. Michael Kommenda and Gabriel Kronberger and Michael Affenzeller and Stephan Winkler and Bogdan Burlacu. Evolving Simple Symbolic Regression Models by Multi-objective Genetic Programming. In Rick Riolo and William P. Worzel and M. Kotanchek and A. Kordon editors, Genetic Programming Theory and Practice XIII, pages 1-19, Ann Arbor, USA, 2015. Springer. details

  24. Viktoria Dorfer and Sergey Maltsev and Stephan Dreiseitl and Karl Mechtler and Stephan M. Winkler. A Symbolic Regression Based Scoring System Improving Peptide Identifications for MS Amanda. In Stephen L. Smith and Stefano Cagnoni and Robert M. Patton editors, GECCO 2015 Medical Applications of Genetic and Evolutionary Computation (MedGEC'15) Workshop, pages 1335-1341, Madrid, Spain, 2015. ACM. details

  25. Gabriel Kronberger and Michael Kommenda and Stephan M. Winkler and Michael Affenzeller. Using Contextual Information in Sequential Search for Grammatical Optimization Problems. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, 15th International Conference Computer Aided Systems Theory, EUROCAST 2015, volume 9520, pages 417-424, Las Palmas de Gran Canaria, Spain, 2015. Springer. Revised Selected Papers. details

  26. Stephan M. Winkler and Gabriel K. Kronberger and Michael Kommenda and Stefan Fink and Michael Affenzeller. Dynamics of Predictability and Variable Influences Identified in Financial Data Using Sliding Window Machine Learning. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, Computer Aided Systems Theory, EUROCAST 2015, volume 9520, pages 326-333, Las Palmas, Gran Canaria, Spain, 2015. Springer. details

  27. Stephan M. Winkler and Michael Affenzeller and Gabriel Kronberger and Michael Kommenda and Bogdan Burlacu and Stefan Wagner. Sliding Window Symbolic Regression for Detecting Changes of System Dynamics. In Rick Riolo and William P. Worzel and Mark Kotanchek editors, Genetic Programming Theory and Practice XII, pages 91-107, Ann Arbor, USA, 2014. Springer. details

  28. Stephan M. Winkler and Michael Affenzeller and Susanne Schaller and 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. In Stephen L. Smith and Stefano Cagnoni and Robert M. Patton editors, GECCO 2014 Workshop on Medical Applications of Genetic and Evolutionary Computation (MedGEC), pages 1337-1344, Vancouver, BC, Canada, 2014. ACM. details

  29. Michael Kommenda and Michael Affenzeller and Bogdan Burlacu and Gabriel Kronberger and Stephan M. Winkler. Genetic programming with data migration for symbolic regression. In Steven Gustafson and Ekaterina Vladislavleva editors, GECCO 2014 Workshop on Symbolic Regression and Modelling, pages 1361-1366, Vancouver, BC, Canada, 2014. ACM. details

  30. Gerd Bramerdorfer and Wolfgang Amrhein and Stephan M. Winkler and Michael Affenzeller. Identification of a nonlinear PMSM model using symbolic regression and its application to current optimization scenarios. In 40th Annual Conference of the IEEE Industrial Electronics Society, IECON 2014, pages 628-633, 2014. details

  31. Stephan M. Winkler and Michael Affenzeller and Herbert Stekel. Evolutionary identification of cancer predictors using clustered data: a case study for breast cancer, melanoma, and cancer in the respiratory system. In Christian Blum and Enrique Alba and Thomas Bartz-Beielstein and Daniele Loiacono and Francisco Luna and Joern Mehnen and Gabriela Ochoa and Mike Preuss and Emilia Tantar and Leonardo Vanneschi and Kent McClymont and Ed Keedwell and Emma Hart and Kevin Sim and Steven Gustafson and Ekaterina Vladislavleva and Anne Auger and Bernd Bischl and Dimo Brockhoff and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Heike Trautmann and Muhammad Iqbal and Kamran Shafi and Ryan Urbanowicz and Stefan Wagner and Michael Affenzeller and David Walker and Richard Everson and Jonathan Fieldsend and Forrest Stonedahl and William Rand and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Gisele L. Pappa and John Woodward and Jerry Swan and Krzysztof Krawiec and Alexandru-Adrian Tantar and Peter A. N. Bosman and Miguel Vega-Rodriguez and Jose M. Chaves-Gonzalez and David L. Gonzalez-Alvarez and Sergio Santander-Jimenez and Lee Spector and Maarten Keijzer and Kenneth Holladay and Tea Tusar and Boris Naujoks editors, GECCO '13 Companion: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion, pages 1463-1470, Amsterdam, The Netherlands, 2013. ACM. details

  32. Michael Kommenda and Gabriel Kronberger and Stephan Winkler and Michael Affenzeller and Stefan Wagner. Effects of constant optimization by nonlinear least squares minimization in symbolic regression. In Christian Blum and Enrique Alba and Thomas Bartz-Beielstein and Daniele Loiacono and Francisco Luna and Joern Mehnen and Gabriela Ochoa and Mike Preuss and Emilia Tantar and Leonardo Vanneschi and Kent McClymont and Ed Keedwell and Emma Hart and Kevin Sim and Steven Gustafson and Ekaterina Vladislavleva and Anne Auger and Bernd Bischl and Dimo Brockhoff and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Heike Trautmann and Muhammad Iqbal and Kamran Shafi and Ryan Urbanowicz and Stefan Wagner and Michael Affenzeller and David Walker and Richard Everson and Jonathan Fieldsend and Forrest Stonedahl and William Rand and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Gisele L. Pappa and John Woodward and Jerry Swan and Krzysztof Krawiec and Alexandru-Adrian Tantar and Peter A. N. Bosman and Miguel Vega-Rodriguez and Jose M. Chaves-Gonzalez and David L. Gonzalez-Alvarez and Sergio Santander-Jimenez and Lee Spector and Maarten Keijzer and Kenneth Holladay and Tea Tusar and Boris Naujoks editors, GECCO '13 Companion: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion, pages 1121-1128, Amsterdam, The Netherlands, 2013. ACM. details

  33. Bogdan Burlacu and Michael Affenzeller and Michael Kommenda and Stephan Winkler and Gabriel Kronberger. Visualization of genetic lineages and inheritance information in genetic programming. In Christian Blum and Enrique Alba and Thomas Bartz-Beielstein and Daniele Loiacono and Francisco Luna and Joern Mehnen and Gabriela Ochoa and Mike Preuss and Emilia Tantar and Leonardo Vanneschi and Kent McClymont and Ed Keedwell and Emma Hart and Kevin Sim and Steven Gustafson and Ekaterina Vladislavleva and Anne Auger and Bernd Bischl and Dimo Brockhoff and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Heike Trautmann and Muhammad Iqbal and Kamran Shafi and Ryan Urbanowicz and Stefan Wagner and Michael Affenzeller and David Walker and Richard Everson and Jonathan Fieldsend and Forrest Stonedahl and William Rand and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and Gisele L. Pappa and John Woodward and Jerry Swan and Krzysztof Krawiec and Alexandru-Adrian Tantar and Peter A. N. Bosman and Miguel Vega-Rodriguez and Jose M. Chaves-Gonzalez and David L. Gonzalez-Alvarez and Sergio Santander-Jimenez and Lee Spector and Maarten Keijzer and Kenneth Holladay and Tea Tusar and Boris Naujoks editors, GECCO '13 Companion: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion, pages 1351-1358, Amsterdam, The Netherlands, 2013. ACM. details

  34. Michael Affenzeller and Stephan M. Winkler and Herbert Stekel and Stefan Forstenlechner and Stefan Wagner. Improving the Accuracy of Cancer Prediction by Ensemble Confidence Evaluation. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, Computer Aided Systems Theory - EUROCAST 2013, volume 8111, pages 316-323, Las Palmas de Gran Canaria, Spain, 2013. Springer. Revised Selected Papers, Part I. details

  35. Michael Kommenda and Michael Affenzeller and Gabriel K. Kronberger and Stephan M. Winkler. Nonlinear Least Squares Optimization of Constants in Symbolic Regression. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, Computer Aided Systems Theory, EUROCAST 2013, volume 8111, pages 420-427, Las Palmas de Gran Canaria, Spain, 2013. Springer. details

  36. S. Wagner and G. Kronberger and A. Beham and M. Kommenda and A. Scheibenpflug and E. Pitzer and S. Vonolfen and M. Kofler and S. Winkler and V. Dorfer and M. Affenzeller. Architecture and Design of the HeuristicLab Optimization Environment. In Robin Braun and Zenon Chaczko and Franz Pichler editors, First Australian Conference on the Applications of Systems Engineering, ACASE, volume 6, pages 197-261, Sydney, Australia, 2012. Springer International Publishing. Selected and updated papers. details

  37. Michael Kommenda and Gabriel Kronberger and Stefan Wagner and Stephan Winkler and Michael Affenzeller. On the architecture and implementation of tree-based genetic programming in HeuristicLab. In Stefan Wagner and Michael Affenzeller editors, GECCO 2012 Evolutionary Computation Software Systems (EvoSoft), pages 101-108, Philadelphia, Pennsylvania, USA, 2012. ACM. details

  38. Bogdan Burlacu and Michael Affenzeller and Michael Kommenda and Stephan M. Winkler and Gabriel Kronberger. Evolution Tracking in Genetic Programming. In Emilio Jimenez and Boris Sokolov editors, The 24th European Modeling and Simulation Symposium, EMSS 2012, Vienna, Austria, 2012. details

  39. Michael Affenzeller and Stephan M. Winkler and Stefan Forstenlechner and Gabriel Kronberger and Michael Kommenda and Stefan Wagner and Herbert Stekel. Enhanced Confidence Interpretations of GP Based Ensemble Modeling Results. In Emilio Jimenez and Boris Sokolov editors, The 24th European Modeling and Simulation Symposium, EMSS 2012, pages 340-345, Vienna, Austria, 2012. details

  40. S. M. Winkler and M. Affenzeller and H. Stekel. Analysis of the Relevance of Blood Parameters and Virtual Tumor Markers in Tumor Diagnosis Prediction. In Proceedings of IEEE APCAST'12 Conference, Sydney, Australia, 2012. details

  41. S. M. Winkler and M. Affenzeller and G. K. Kronberger and M. Kommenda and S. Wagner and W. Jacak and H. Stekel. Variable Interaction Networks in Medical Data. In Proceedings of the 24th European Modeling and Simulation Symposium EMSS 2012, pages 265-270, Vienna, Austria, 2012. details

  42. Stephan M. Winkler and Michael Affenzeller and Gabriel K. Kronberger and Michael Kommenda and Stefan Wagner and Witold Jacak and Herbert Stekel. Analysis of Selected Evolutionary Algorithms in Feature Selection and Parameter Optimization for Data Based Tumor Marker Modeling. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, Computer Aided Systems Theory, EUROCAST 2011, volume 6927, pages 335-342, 2012. Springer. details

  43. Luigi del Re and Markus Hirsch and Daniel Alberer and Stephan Winkler. The role of data choice in data driven identification for online emission models. In IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS 2011), pages 46-51, Paris, 2011. details

  44. Stephan M. Winkler and Michael Affenzeller and Stefan Wagner. Analysis of the effects of enhanced selection concepts for genetic programming based structure identification using fine-grained population diversity estimation. In Natalio Krasnogor and Pier Luca Lanzi and Andries Engelbrecht and David Pelta and Carlos Gershenson and Giovanni Squillero and Alex Freitas and Marylyn Ritchie and Mike Preuss and Christian Gagne and Yew Soon Ong and Guenther Raidl and Marcus Gallager and Jose Lozano and Carlos Coello-Coello and Dario Landa Silva and Nikolaus Hansen and Silja Meyer-Nieberg and Jim Smith and Gus Eiben and Ester Bernado-Mansilla and Will Browne and Lee Spector and Tina Yu and Jeff Clune and Greg Hornby and Man-Leung Wong and Pierre Collet and Steve Gustafson and Jean-Paul Watson and Moshe Sipper and Simon Poulding and Gabriela Ochoa and Marc Schoenauer and Carsten Witt and Anne Auger editors, GECCO '11: Proceedings of the 13th annual conference companion on Genetic and evolutionary computation, pages 195-196, Dublin, Ireland, 2011. ACM. details

  45. Stephan M. Winkler and Michael Affenzeller and Witold Jacak and Herbert Stekel. Identification of cancer diagnosis estimation models using evolutionary algorithms: a case study for breast cancer, melanoma, and cancer in the respiratory system. In Stephen L. Smith and Stefano Cagnoni and Robert Patton editors, GECCO 2011 Medical applications of genetic and evolutionary computation (MedGEC), pages 503-510, Dublin, Ireland, 2011. ACM. details

  46. M. Affenzeller and C. Fischer and G. K. Kronberger and S. M. Winkler and S. Wagner. New Genetic Programming Hypothesis Search Strategies for Improving the Interpretability in Medical Data Mining Applications. In Proccedings of 23rd IEEE European Modeling \& Simulation Symposium EMSS 2011, Roma, Italy, 2011. details

  47. Stephan M. Winkler and Michael Affenzeller and Gabriel K. Kronberger and Michael Kommenda and Stefan Wagner and Witold Jacak and Herbert Stekel. Analysis of Selected Evolutionary Algorithms in Feature Selection and Parameter Optimization for Data Based Tumor Marker Modeling. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, Proceedings of International Conference on Computer Aided Systems Theory, EUROCAST 2011, volume 6927, pages 335-342, Las Palmas, Spain, 2011. Springer. details

  48. Stephan M. Winkler and Michael Affenzeller and Witold Jacak and Herbert Stekel. Classification of tumor marker values using heuristic data mining methods. In Stephen L Smith and Stefano Cagnoni and Robert Patton editors, GECCO 2010 Medical applications of genetic and evolutionary computation (MedGEC), pages 1915-1922, Portland, Oregon, USA, 2010. ACM. details

  49. Gabriel K. Kronberger and Stephan M. Winkler and Michael Affenzeller and Michael Kommenda and Stefan Wagner. Effects of Mutation before and after offspring selection in genetic programming for symbolic regression. In Agostino Bruzzone and Claudia Frydman editors, 22nd European Modeling \& Simulation Symposium (Simulation in Industry), EMSS 2010, Fes, Morocco, 2010. details

  50. Stephan M. Winkler. Structural Versus Evaluation Based Solutions Similarity in Genetic Programming Based System Identification. In Juan Ram\'on Gonz\'alez and David A. Pelta and Carlos Cruz and Germ\'an Terrazas and Natalio Krasnogor editors, Nature Inspired Cooperative Strategies for Optimization, NICSO 2010, volume 284, pages 269-282, Granada, Spain, 2010. Springer. details

  51. Gabriel Kronberger and Stephan M. Winkler and Michael Affenzeller and Andreas Beham and Stefan Wagner. On the Success Rate of Crossover Operators for Genetic Programming with Offspring Selection. In 12th International Conference on Computer Aided Systems Theory, EUROCAST 2009, volume 5717, pages 793-800, Las Palmas de Gran Canaria, Spain, 2009. Springer. Revised Selected Papers. details

  52. Stephan M. Winkler and Michael Affenzeller and Stefan Wagner. Fine grained population diversity analysis for parallel genetic programming. In IEEE International Symposium on Parallel Distributed Processing, IPDPS 2009, pages 1-8, Rome, 2009. details

  53. Gabriel Kronberger and Stephan Winkler and Michael Affenzeller and Stefan Wagner. On Crossover Success Rate in Genetic Programming with Offspring Selection. In Leonardo Vanneschi and Steven Gustafson and Alberto Moraglio and Ivanoe De Falco and Marc Ebner editors, Proceedings of the 12th European Conference on Genetic Programming, EuroGP 2009, volume 5481, pages 232-243, Tuebingen, 2009. Springer. details

  54. Gabriel Kronberger and Christoph Feilmayr and Michael Kommenda and Stephan Winkler and Michael Affenzeller and Thomas Burgler. System Identification of Blast Furnace Processes with Genetic Programming. In 2nd International Symposium on Logistics and Industrial Informatics, LINDI 2009, pages 1-6, Linz, Austria, 2009. details

  55. Michael Kommenda and Gabriel Kronberger and Stephan Winkler and Michael Affenzeller and Stefan Wagner and Leonhard Schickmair and Benjamin Lindner. Application of Genetic Programming on Temper Mill Datasets. In 2nd International Conference on Logistics and Industrial Informatics, LINDI 2009, pages 1-5, 2009. details

  56. Stephan M. Winkler and Markus Hirsch and Michael Affenzeller and Luigi del Re and Stefan Wagner. Virtual Sensors for Emissions of a Diesel Engine Produced by Evolutionary System Identification. In Roberto Moreno-Diaz and Franz Pichler and Alexis Quesada-Arencibia editors, Proceedings of International Conference Computer Aided Systems Theory, EUROCAST 2009, volume 5717, pages 657-664, Las Palmas, Spain, 2009. Springer. details

  57. Stephan M. Winkler and Michael Affenzeller and Stefan Wagner. Fine-grained population diversity estimation for genetic programming based structure identification. In Maarten Keijzer and Giuliano Antoniol and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Nikolaus Hansen and John H. Holmes and Gregory S. Hornby and Daniel Howard and James Kennedy and Sanjeev Kumar and Fernando G. Lobo and Julian Francis Miller and Jason Moore and Frank Neumann and Martin Pelikan and Jordan Pollack and Kumara Sastry and Kenneth Stanley and Adrian Stoica and El-Ghazali Talbi and Ingo Wegener editors, GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation, pages 1435-1436, Atlanta, GA, USA, 2008. ACM. details

  58. Andreas Beham and Stephan Winkler and Stefan Wagner and Michael Affenzeller. A genetic programming approach to solve scheduling problems with parallel simulation. In IEEE International Symposium on Parallel and Distributed Processing, IPDPS 2008, pages 1-5, 2008. details

  59. Stephan Winkler and Michael Affenzeller and Stefan Wagner. Selection Pressure Driven Sliding Window Behavior in Genetic Programming Based Structure Identification. In Computer Aided Systems Theory - EUROCAST 2007, 2007. Springer. details

  60. S. M. Winkler and M. Affenzeller and S. Wagner. Advances in applying genetic programming to machine learning, focussing on classification problems. In 20th International Parallel and Distributed Processing Symposium, IPDPS 2006, page 8 pp.?, Rhodes Island, 2006. IEEE. details

  61. Stephan M. Winkler and Michael Affenzeller and Stefan Wagner. Using Enhanced Genetic Programming Techniques for Evolving Classifiers in the Context of Medical Diagnosis - An Empirical Study. In Stephen L Smith and Stefano Cagnoni and Jano van Hemert editors, MedGEC 2006 GECCO Workshop on Medical Applications of Genetic and Evolutionary Computation, Seattle, WA, USA, 2006. details

  62. Luigi Del Re and Peter Langthaler and Christian Furtmueller and Stephan Winkler and Michael Affenzeller. NOx Virtual Sensor Based on Structure Identification and Global Optimization. In SAE 2005 World Congress \& Exhibition, page Paper Number: 2005, Detroit, Michigan, United States, 2005. details

Genetic Programming book chapters by Stephan M Winkler

  1. J. Ignacio Hidalgo and J. Manuel Colmenar and J. Manuel Velasco and Gabriel Kronberger and Stephan M. Winkler and Oscar Garnica and Juan Lanchares. Identification of Models for Glucose Blood Values in Diabetics by Grammatical Evolution. In Conor Ryan and Michael O'Neill and J. J. Collins editors, Handbook of Grammatical Evolution, chapter 15, pages 367-393. Springer, 2018. details

  2. Michael Kommenda and Michael Affenzeller and Gabriel Kronberger and Bogdan Burlacu and Stephan M. Winkler. Multi-Population Genetic Programming with Data Migration for Symbolic Regression. In Grzegorz Borowik and Zenon Chaczko and Witold Jacak and Tadeusz Luba editors, Computational Intelligence and Efficiency in Engineering Systems, volume 595 of Studies in Computational Intelligence, pages 75-87. Springer, 2015. details

  3. Bogdan Burlacu and Michael Affenzeller and Stephan M. Winkler and Michael Kommenda and Gabriel Kronberger. Methods for Genealogy and Building Block Analysis in Genetic Programming. In Grzegorz Borowik and Zenon Chaczko and Witold Jacak and Tadeusz Luba editors, Computational Intelligence and Efficiency in Engineering Systems, volume 595 of Studies in Computational Intelligence, pages 61-74. Springer, 2015. details

  4. S. M. Winkler and M. Affenzeller and G. K. Kronberger and M. Kommenda and S. Wagner and W. Jacak and H. Stekel. On the Identification of Virtual Tumor Markers and Tumor Diagnosis Predictors Using Evolutionary Algorithms. In R. Klempous and J. Nikodem and W. Jacak and Z. Chaczko editors, Advanced Methods and Applications in Computational Intelligence, pages 95-122. Springer, 2014. details

  5. Michael Affenzeller and Stephan M. Winkler and Gabriel Kronberger and Michael Kommenda and Bogdan Burlacu and Stefan Wagner. Gaining Deeper Insights in Symbolic Regression. In Rick Riolo and Jason H. Moore and Mark Kotanchek editors, Genetic Programming Theory and Practice XI, chapter 10, pages 175-190. Springer, Ann Arbor, USA, 2013. details

  6. Stephan M. Winkler and Michael Affenzeller and Stefan Wagner and Gabriel K. Kronberger and Michael Kommenda. Using Genetic Programming in Nonlinear Model Identification. In Daniel Alberer and Hakan Hjalmarsson and Luigi del Re editors, Workshop on Identification in Automotive 2010, volume 418 of Lecture Notes in Control and Information Sciences, chapter 6, pages 89-109. Springer, Linz, Austria, 2010. details

Genetic Programming other entries for Stephan M Winkler