On-Line Modelling Based on Genetic Programming. - Stephan M. Winkler; Hajrudin Efendic; Michael Affenzeller; Luigi del Re; Stefan Wagner 002 (ALaRT, 2005)

Goal-oriented preservation of essential genetic information by offspring selection. - Michael Affenzeller; Stefan Wagner 002; Stephan M. Winkler (GECCO, 2005)

GA-Selection Revisited from an ES-Driven Point of View. - Michael Affenzeller; Stefan Wagner 002; Stephan M. Winkler (IWINAC (2), 2005)

Sets of receiver operating characteristic curves and their use in the evaluation of multi-class classification. - Stephan M. Winkler; Michael Affenzeller; Stefan Wagner 002 (GECCO, 2006)

Advances in applying genetic programming to machine learning, focussing on classification problems. - Stephan M. Winkler; Michael Affenzeller; Stefan Wagner 002 (IPDPS, 2006)

Self-adaptive Population Size Adjustment for Genetic Algorithms. - Michael Affenzeller; Stefan Wagner 002; Stephan M. Winkler (EUROCAST, 2007)

Benefits of Plugin-Based Heuristic Optimization Software Systems. - Stefan Wagner 002; Stephan M. Winkler; Erik Pitzer; Gabriel Kronberger; Andreas Beham; Roland Braune; Michael Affenzeller (EUROCAST, 2007)

Selection Pressure Driven Sliding Window Behavior in Genetic Programming Based Structure Identification. - Stephan M. Winkler; Michael Affenzeller; Stefan Wagner 002 (EUROCAST, 2007)

Aspects of adaptation in natural and artificial evolution. - Michael Affenzeller; Stefan Wagner 002; Stephan M. Winkler (GECCO (Companion), 2007)

Online modelling based on Genetic Programming. - Stephan M. Winkler; Hajrudin Efendic; Luigi del Re; Michael Affenzeller; Stefan Wagner 002 (Int. J. Intell. Syst. Technol. Appl., 2007)

Advanced Genetic Programming Based Machine Learning. - Stephan M. Winkler; Michael Affenzeller; Stefan Wagner 002 (J. Math. Model. Algorithms, 2007)

Fine-grained population diversity estimation for genetic programming based structure identification. - Stephan M. Winkler; Michael Affenzeller; Stefan Wagner 002 (GECCO, 2008)

A genetic programming approach to solve scheduling problems with parallel simulation. - Andreas Beham; Stephan M. Winkler; Stefan Wagner 002; Michael Affenzeller (IPDPS, 2008)

Genetic Algorithms and Genetic Programming - Modern Concepts and Practical Applications. - Michael Affenzeller; Stephan M. Winkler; Stefan Wagner 002; Andreas Beham (CRC Press, 2009)

Metaheuristic Optimization. - Michael Affenzeller; Andreas Beham; Monika Kofler; Gabriel Kronberger; Stefan A. Wagner; Stephan M. Winkler (Hagenberg Research, 2009)

On the Influence of Selection Schemes on the Genetic Diversity in Genetic Algorithms. - Michael Affenzeller; Stephan M. Winkler; Andreas Beham; Stefan Wagner 002 (EUROCAST, 2009)

On the Success Rate of Crossover Operators for Genetic Programming with Offspring Selection. - Gabriel Kronberger; Stephan M. Winkler; Michael Affenzeller; Andreas Beham; Stefan Wagner 002 (EUROCAST, 2009)

On Structural Identification of 2D Regression Functions for Indoor Bluetooth Localization. - Rene Mayrhofer; Stephan M. Winkler; Helmut Hlavacs; Michael Affenzeller; Stefan Schneider (EUROCAST, 2009)

Model Driven Rapid Prototyping of Heuristic Optimization Algorithms. - Stefan Wagner 002; Gabriel Kronberger; Andreas Beham; Stephan M. Winkler; Michael Affenzeller (EUROCAST, 2009)

Virtual Sensors for Emissions of a Diesel Engine Produced by Evolutionary System Identification. - Stephan M. Winkler; Markus Hirsch; Michael Affenzeller; Luigi del Re; Stefan Wagner 002 (EUROCAST, 2009)

On Crossover Success Rate in Genetic Programming with Offspring Selection. - Gabriel Kronberger; Stephan M. Winkler; Michael Affenzeller; Stefan Wagner 002 (EuroGP, 2009)

About the dynamics of essential genetic information: an empirical analysis for selected GA-variants. - Michael Affenzeller; Andreas Beham; Stefan Wagner 002; Stephan M. Winkler (GEC Summit, 2009)

Fine grained population diversity analysis for parallel genetic programming. - Stephan M. Winkler; Michael Affenzeller; Stefan Wagner 002 (IPDPS, 2009)

Using enhanced genetic programming techniques for evolving classifiers in the context of medical diagnosis. - Stephan M. Winkler; Michael Affenzeller; Stefan Wagner 002 (Genet. Program. Evolvable Mach., 2009)

Classification of tumor marker values using heuristic data mining methods. - Stephan M. Winkler; Michael Affenzeller; Witold Jacak; Herbert Stekel (GECCO (Companion), 2010)

Structural Versus Evaluation Based Solutions Similarity in Genetic Programming Based System Identification. - Stephan M. Winkler (NICSO, 2010)

Effective allele preservation by offspring selection: an empirical study for the TSP. - Michael Affenzeller; Stefan Wagner 002; Stephan M. Winkler (Int. J. Simul. Process. Model., 2010)

The role of data choice in data driven identification for online emission models. - Luigi del Re; Markus Hirsch; Daniel Alberer; Stephan M. Winkler (CIVTS, 2011)

Analysis of Single-Objective and Multi-Objective Evolutionary Algorithms in Keyword Cluster Optimization. - Viktoria Dorfer; Stephan M. Winkler; Thomas Kern; Gerald Petz; Patrizia Faschang (EUROCAST (1), 2011)

Application of Symbolic Regression on Blast Furnace and Temper Mill Datasets. - Michael Kommenda; Gabriel Kronberger; Christoph Feilmayr; Leonhard Schickmair; Michael Affenzeller; Stephan M. Winkler; Stefan Wagner 002 (EUROCAST (1), 2011)

Analysis of Selected Evolutionary Algorithms in Feature Selection and Parameter Optimization for Data Based Tumor Marker Modeling. - Stephan M. Winkler; Michael Affenzeller; Gabriel Kronberger; Michael Kommenda; Stefan Wagner 002; Witold Jacak; Herbert Stekel (EUROCAST (1), 2011)

On the performance of evolutionary algorithms in biomedical keyword clustering. - Viktoria Dorfer; Stephan M. Winkler; Thomas Kern; Sophie A. Blank; Gerald Petz; Patrizia Faschang (GECCO (Companion), 2011)

Identification of cancer diagnosis estimation models using evolutionary algorithms: a case study for breast cancer, melanoma, and cancer in the respiratory system. - Stephan M. Winkler; Michael Affenzeller; Witold Jacak; Herbert Stekel (GECCO (Companion), 2011)

Analysis of the effects of enhanced selection concepts for genetic programming based structure identification using fine-grained population diversity estimation. - Stephan M. Winkler; Michael Affenzeller; Stefan Wagner 002 (GECCO (Companion), 2011)

On Text Preprocessing for Opinion Mining Outside of Laboratory Environments. - Gerald Petz; Michal P. Karpowicz; Harald Fürschuß; Andreas Auinger; Stephan M. Winkler; Susanne Schaller; Andreas Holzinger (AMT, 2012)

On the architecture and implementation of tree-based genetic programming in HeuristicLab. - Michael Kommenda; Gabriel Kronberger; Stefan Wagner 002; Stephan M. Winkler; Michael Affenzeller (GECCO (Companion), 2012)

MetExtract: a new software tool for the automated comprehensive extraction of metabolite-derived LC/MS signals in metabolomics research. - Christoph Bueschl; Bernhard Kluger; Franz Berthiller; Gerald Lirk; Stephan Winkler 001; Rudolf Krska; Rainer Schuhmacher (Bioinform., 2012)

Analysis of Allele Distribution Dynamics in Different Genetic Algorithms. - Michael Affenzeller; Stefan Wagner 002; Stephan M. Winkler; Andreas Beham (Recent Advances in Intelligent Engineering Systems, 2012)

Improving the Accuracy of Cancer Prediction by Ensemble Confidence Evaluation. - Michael Affenzeller; Stephan M. Winkler; Herbert Stekel; Stefan Forstenlechner; Stefan Wagner 002 (EUROCAST (1), 2013)

Nonlinear Least Squares Optimization of Constants in Symbolic Regression. - Michael Kommenda; Michael Affenzeller; Gabriel Kronberger; Stephan M. Winkler (EUROCAST (1), 2013)

Statistical Analysis of the Relationship between Spots and Structures in Microscopy Images. - Susanne Schaller; Jaroslaw Jacak; Rene Silye; Stephan M. Winkler (EUROCAST (1), 2013)

An Integrated Clustering and Classification Approach for the Analysis of Tumor Patient Data. - Stephan M. Winkler; Michael Affenzeller; Herbert Stekel (EUROCAST (1), 2013)

Visualization of genetic lineages and inheritance information in genetic programming. - Bogdan Burlacu; Michael Affenzeller; Michael Kommenda; Stephan M. Winkler; Gabriel Kronberger (GECCO (Companion), 2013)

Effects of constant optimization by nonlinear least squares minimization in symbolic regression. - Michael Kommenda; Gabriel Kronberger; Stephan M. Winkler; Michael Affenzeller; Stefan Wagner 002 (GECCO (Companion), 2013)

Evolutionary identification of cancer predictors using clustered data: a case study for breast cancer, melanoma, and cancer in the respiratory system. - Stephan M. Winkler; Michael Affenzeller; Herbert Stekel (GECCO (Companion), 2013)

Gaining Deeper Insights in Symbolic Regression. - Michael Affenzeller; Stephan M. Winkler; Gabriel Kronberger; Michael Kommenda; Bogdan Burlacu; Stefan Wagner 002 (GPTP, 2013)

On the use of estimated tumour marker classifications in tumour diagnosis prediction - a case study for breast cancer. - Stephan M. Winkler; Michael Affenzeller; Gabriel Kronberger; Michael Kommenda; Stefan Wagner 002; Viktoria Dorfer; Witold Jacak; Herbert Stekel (Int. J. Simul. Process. Model., 2013)

Genetic programming with data migration for symbolic regression. - Michael Kommenda; Michael Affenzeller; Bogdan Burlacu; Gabriel Kronberger; Stephan M. Winkler (GECCO (Companion), 2014)

Data based prediction of cancer diagnoses using heterogeneous model ensembles: a case study for breast cancer, melanoma, and cancer in the respiratory system. - Stephan M. Winkler; Michael Affenzeller; Susanne Schaller; Herbert Stekel (GECCO (Companion), 2014)

Sliding Window Symbolic Regression for Detecting Changes of System Dynamics. - Stephan M. Winkler; Michael Affenzeller; Gabriel Kronberger; Michael Kommenda; Bogdan Burlacu; Stefan Wagner 002 (GPTP, 2014)

Identification of a nonlinear PMSM model using symbolic regression and its application to current optimization scenarios. - Gerd Bramerdorfer; Wolfgang Amrhein; Stephan M. Winkler; Michael Affenzeller (IECON, 2014)

Using FE Calculations and Data-Based System Identification Techniques to Model the Nonlinear Behavior of PMSMs. - Gerd Bramerdorfer; Stephan M. Winkler; Michael Kommenda; Günther Weidenholzer; Siegfried Silber; Gabriel Kronberger; Michael Affenzeller; Wolfgang Amrhein (IEEE Trans. Ind. Electron., 2014)

Increasing the Sensitivity of Cancer Predictors Using Confidence Based Ensemble Modeling. - Michael Affenzeller; Karin Zölzer; Stephan M. Winkler; Erwin Hopf; Herbert Stekel; Rupert Frechinger; Stefan Wagner 002 (EUROCAST, 2015)

Optimization Strategies for Integrated Knapsack and Traveling Salesman Problems. - Andreas Beham; Judith Fechter; Michael Kommenda; Stefan Wagner 002; Stephan M. Winkler; Michael Affenzeller (EUROCAST, 2015)

Classifying Human Blood Samples Using Characteristics of Single Molecules and Cell Structures on Microscopy Images. - Daniela Borgmann; Sandra Mayr; Helene Polin; Lisa Obritzberger; Susanne Schaller; Viktoria Dorfer; Jaroslaw Jacak; Stephan M. Winkler (EUROCAST, 2015)

Using Contextual Information in Sequential Search for Grammatical Optimization Problems. - Gabriel Kronberger; Michael Kommenda; Stephan M. Winkler; Michael Affenzeller (EUROCAST, 2015)

Prediction of Stem Cell Differentiation in Human Amniotic Membrane Images Using Machine Learning. - Lisa Obritzberger; Daniela Borgmann; Susanne Schaller; Viktoria Dorfer; Andrea Lindenmair; Susanne Wolbank; Simone Hennerbichler; Heinz Redl; Stephan M. Winkler (EUROCAST, 2015)

Classification of the States of Human Adaptive Immune Systems by Analyzing Immunoglobulin and T Cell Receptors Using ImmunExplorer. - Susanne Schaller; Johannes Weinberger; Raúl Jiménez-Heredia; Martin Danzer; Stephan M. Winkler (EUROCAST, 2015)

Dynamics of Predictability and Variable Influences Identified in Financial Data Using Sliding Window Machine Learning. - Stephan M. Winkler; Gabriel Kronberger; Michael Kommenda; Stefan Fink; Michael Affenzeller (EUROCAST, 2015)

A Symbolic Regression Based Scoring System Improving Peptide Identifications for MS Amanda. - Viktoria Dorfer; Sergey Maltsev; Stephan Dreiseitl; Karl Mechtler; Stephan M. Winkler (GECCO (Companion), 2015)

Data-Based Identification of Prediction Models for Glucose. - J. Manuel Velasco; Stephan M. Winkler; José Ignacio Hidalgo; Oscar Garnica; Juan Lanchares; J. Manuel Colmenar; Esther Maqueda; Marta Botella; José Antonio Rubio (GECCO (Companion), 2015)

Evolving Simple Symbolic Regression Models by Multi-Objective Genetic Programming. - Michael Kommenda; Gabriel Kronberger; Michael Affenzeller; Stephan M. Winkler; Bogdan Burlacu (GPTP, 2015)

Optimization of Trading Rules for the Spanish Stock Market by Genetic Programming. - Sergio Luengo-Sanchez; Stephan M. Winkler; David F. Barrero; Bonifacio Castaño (IEA/AIE, 2015)

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. - Susanne Schaller; Johannes Weinberger; Raúl Jiménez-Heredia; Martin Danzer; Rainer Oberbauer; Christian Gabriel; Stephan M. Winkler (BMC Bioinform., 2015)

Data-based prediction of sentiments using heterogeneous model ensembles. - Stephan M. Winkler; Susanne Schaller; Viktoria Dorfer; Michael Affenzeller; Gerald Petz; Michal P. Karpowicz (Soft Comput., 2015)

Methods for Genealogy and Building Block Analysis in Genetic Programming. - Bogdan Burlacu; Michael Affenzeller; Stephan M. Winkler; Michael Kommenda; Gabriel Kronberger (Computational Intelligence and Efficiency in Engineering Systems, 2015)

Multi-Population Genetic Programming with Data Migration for Symbolic Regression. - Michael Kommenda; Michael Affenzeller; Gabriel Kronberger; Bogdan Burlacu; Stephan M. Winkler (Computational Intelligence and Efficiency in Engineering Systems, 2015)

Identification and Classification of Objects and Motions in Microscopy Images of Biological Samples Using Heuristic Algorithms. - 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; et al. (Computational Intelligence and Efficiency in Engineering Systems, 2015)

Predicting Glycemia in Diabetic Patients By Evolutionary Computation and Continuous Glucose Monitoring. - J. Manuel Colmenar; Stephan M. Winkler; Gabriel Kronberger; Esther Maqueda; Marta Botella; José Ignacio Hidalgo (GECCO (Companion), 2016)

Similarity-Based Analysis of Population Dynamics in Genetic Programming Performing Symbolic Regression. - Stephan M. Winkler; Michael Affenzeller; Bogdan Burlacu; Gabriel Kronberger; Michael Kommenda; Philipp Fleck (GPTP, 2016)

Robust Fuzzy Modeling and Symbolic Regression for Establishing Accurate and Interpretable Prediction Models in Supervising Tribological Systems. - Edwin Lughofer; Gabriel Kronberger; Michael Kommenda; Susanne Saminger-Platz; Andreas Promberger; Falk Nickel; Stephan M. Winkler; Michael Affenzeller (IJCCI (FCTA), 2016)

Heterogeneous model ensembles for short-term prediction of stock market trends. - Stephan M. Winkler; Bonifacio Castaño; Sergio Luengo-Sanchez; Susanne Schaller; Gabriel Kronberger; Michael Affenzeller (Int. J. Simul. Process. Model., 2016)

A heuristic and evolutionary algorithm to optimize the coefficients of curve parametrizations. - J. Rafael Sendra; Stephan M. Winkler (J. Comput. Appl. Math., 2016)

Corrigendum to: A heuristic and evolutionary algorithm to optimize the coefficients of curve parametrizations [J. Comput. Appl. Math. 305 (2016) 18-35]. - J. Rafael Sendra; Stephan M. Winkler (J. Comput. Appl. Math., 2016)

Offspring Selection Genetic Algorithm Revisited: Improvements in Efficiency by Early Stopping Criteria in the Evaluation of Unsuccessful Individuals. - Michael Affenzeller; Bogdan Burlacu; Stephan M. Winkler; Michael Kommenda; Gabriel Kronberger; Stefan Wagner 002 (EUROCAST (1), 2017)

Analysis of Schema Frequencies in Genetic Programming. - Bogdan Burlacu; Michael Affenzeller; Michael Kommenda; Gabriel Kronberger; Stephan M. Winkler (EUROCAST (1), 2017)

Glucose Prognosis by Grammatical Evolution. - José Ignacio Hidalgo; J. Manuel Colmenar; Gabriel Kronberger; Stephan M. Winkler (EUROCAST (1), 2017)

Measures for the Evaluation and Comparison of Graphical Model Structures. - Gabriel Kronberger; Bogdan Burlacu; Michael Kommenda; Stephan M. Winkler; Michael Affenzeller (EUROCAST (1), 2017)

Fitness Landscape Analysis in the Optimization of Coefficients of Curve Parametrizations. - Stephan M. Winkler; J. Rafael Sendra (EUROCAST (1), 2017)

Dynamic observation of genotypic and phenotypic diversity for different symbolic regression GP variants. - Michael Affenzeller; Stephan M. Winkler; Bogdan Burlacu; Gabriel Kronberger; Michael Kommenda; Stefan Wagner 002 (GECCO (Companion), 2017)

Schema Analysis in Tree-Based Genetic Programming. - Bogdan Burlacu; Michael Affenzeller; Michael Kommenda; Gabriel Kronberger; Stephan M. Winkler (GPTP, 2017)

Data Based Prediction of Blood Glucose Concentrations Using Evolutionary Methods. - José Ignacio Hidalgo; J. Manuel Colmenar; Gabriel Kronberger; Stephan M. Winkler; Oscar Garnica; Juan Lanchares (J. Medical Syst., 2017)

Identification of Models for Glucose Blood Values in Diabetics by Grammatical Evolution. - José Ignacio Hidalgo; J. Manuel Colmenar; J. Manuel Velasco; Gabriel Kronberger; Stephan M. Winkler; Oscar Garnica; Juan Lanchares (Handbook of Grammatical Evolution, 2018)

Cluster Analysis of a Symbolic Regression Search Space. - Gabriel Kronberger; Lukas Kammerer; Bogdan Burlacu; Stephan M. Winkler; Michael Kommenda; Michael Affenzeller (GPTP, 2018)

Using robust generalized fuzzy modeling and enhanced symbolic regression to model tribological systems. - Gabriel Kronberger; Michael Kommenda; Edwin Lughofer; Susanne Saminger-Platz; Andreas Promberger; Falk Nickel; Stephan M. Winkler; Michael Affenzeller (Appl. Soft Comput., 2018)

White Box vs. Black Box Modeling: On the Performance of Deep Learning, Random Forests, and Symbolic Regression in Solving Regression Problems. - Michael Affenzeller; Bogdan Burlacu; Viktoria Dorfer; Sebastian Dorl; Gerhard Halmerbauer; Tilman Königswieser; Michael Kommenda; Julia Vetter; Stephan M. Winkler (EUROCAST (1), 2019)

A Model-Based Learning Approach for Controlling the Energy Flows of a Residential Household Using Genetic Programming to Perform Symbolic Regression. - Kathrin Kefer; Roland Hanghofer; Patrick Kefer; Markus Stöger; Michael Affenzeller; Stephan M. Winkler; Stefan Wagner 002; Bernd Hofer (EUROCAST (1), 2019)

Symbolic Regression by Exhaustive Search: Reducing the Search Space Using Syntactical Constraints and Efficient Semantic Structure Deduplication. - Lukas Kammerer; Gabriel Kronberger; Bogdan Burlacu; Stephan M. Winkler; Michael Kommenda; Michael Affenzeller (GPTP, 2019)

PySpot: A Python based Framework for the Assessment of Laser-modified 3D Microstructures for Windows and Raspbian. - Hannah Janout; Bianca Buchegger; Andreas Haghofer; Dominic Hoeglinger; Jaroslaw Jacak; Stephan M. Winkler; Armin Hochreiner (BIOIMAGING, 2020)

Analysis of the performance of Genetic Programming on the Blood Glucose Level Prediction Challenge 2020. - David Joedicke; Gabriel Kronberger; José Manuel Colmenar; Stephan M. Winkler; José Manuel Velasco; Sergio Contador; José Ignacio Hidalgo (KDH@ECAI, 2020)

Evolutionary optimization of image processing for cell detection in microscopy images. - Andreas Haghofer; Sebastian Dorl; Andre Oszwald; Johannes Breuss; Jaroslaw Jacak; Stephan M. Winkler (Soft Comput., 2020)

Multilayer analysis of population diversity in grammatical evolution for symbolic regression. - Gabriel Kronberger; J. Manuel Colmenar; Stephan M. Winkler; José Ignacio Hidalgo (Soft Comput., 2020)

Empirical analysis of variance for genetic programming based symbolic regression. - Lukas Kammerer; Gabriel Kronberger; Stephan M. Winkler (GECCO Companion, 2021)

Multi tree operators for genetic programming to identify optimal energy flow controllers. - Kathrin Kefer; Roland Hanghofer; Patrick Kefer; Markus Stöger; Bernd Hofer; Michael Affenzeller; Stephan M. Winkler (GECCO Companion, 2021)

Grammar-Based Vectorial Genetic Programming for Symbolic Regression. - Philipp Fleck; Stephan M. Winkler; Michael Kommenda; Michael Affenzeller (GPTP, 2021)

Using Heterogeneous Model Ensembles to Improve the Prediction of Yeast Contamination in Peppermint. - Stefan Anlauf; Andreas Haghofer; Karl Dirnberger; Stephan M. Winkler (ISM, 2021)

Automated Data Adaptation for the Segmentation of Blood Vessels. - Andreas Haghofer; Thomas Ebner; Philipp Kainz; Michael Weißensteiner; Nassim Ghaffari-Tabrizi-Wizsy; Isra Hatab; Josef Scharinger; Stephan Winkler 001 (BIOSTEC (Selected Papers), 2022)

Analysis of Extracellular Vesicle Data on Fluorescence and Atomic Force Microscopy Images. - Hannah Janout; Jonas Schurr; Andreas Haghofer; Fabian Hauser; Jaroslaw Jacak; Stephan M. Winkler (BIOSTEC (Selected Papers), 2022)

Automated Segmentation of Patterned Cells in Micropatterning Microscopy Images. - Jonas Schurr; Andreas Haghofer; Peter Lanzerstorfer; Stephan M. Winkler (BIOSTEC (Selected Papers), 2022)

Identifying Differential Equations for the Prediction of Blood Glucose using Sparse Identification of Nonlinear Systems. - David Joedicke; Daniel Parra; Gabriel Kronberger; Stephan M. Winkler (EUROCAST, 2022)

Using Explainable Artificial Intelligence for Data Based Detection of Complications in Records of Patient Treatments. - Marina Strobl; Julia Vetter; Gerhard Halmerbauer; Tilman Königswieser; Stephan M. Winkler (EUROCAST, 2022)

Shapley Value Based Variable Interaction Networks for Data Stream Analysis. - Jan Zenisek; Sebastian Dorl; Dominik Falkner; Lukas Gaisberger; Stephan M. Winkler; Michael Affenzeller (EUROCAST, 2022)

Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data. - Bogdan Burlacu; Michael Kommenda; Gabriel Kronberger; Stephan M. Winkler; Michael Affenzeller (GPTP, 2022)

Identification of Surrogate Models for the Prediction of Degrees of Freedom within a Tolerance Chain. - Hannah Janout; Thomas Paier; Carina Ringelhahn; Michael Heckmann; Andreas Haghofer; Gabriel Kronberger; Stephan Winkler 001 (ISM, 2022)

ImmunoDataAnalyzer: a bioinformatics pipeline for processing barcoded and UMI tagged immunological NGS data. - Julia Vetter; Susanne Schaller; Andreas Heinzel; Constantin Aschauer; Roman Reindl-Schwaighofer; Kira Jelencsics; Karin Hu; Rainer Oberbauer; Stephan M. Winkler (BMC Bioinform., 2022)

Identifying Differential Equations to predict Blood Glucose using Sparse Identification of Nonlinear Systems. - David Jödicke; Daniel Parra; Gabriel Kronberger; Stephan M. Winkler (CoRR, 2022)

In Vitro Quantification of Cellular Spheroids in Patterned Petri Dishes. - Jonas Schurr; Andreas Haghofer; Marian Fürsatz; Hannah Janout; Sylvia Nürnberger; Stephan Winkler 001 (BIOIMAGING, 2023)

Evolutionary Algorithms for Segment Optimization in Vectorial GP. - Philipp Fleck; Stephan M. Winkler; Michael Kommenda; Sara Silva; Leonardo Vanneschi; Michael Affenzeller (GECCO Companion, 2023)

Nuclear Morphometry using a Deep Learning-based Algorithm has Prognostic Relevance for Canine Cutaneous Mast Cell Tumors. - 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; et al. (CoRR, 2023)

Vectorial Genetic Programming - Optimizing Segments for Feature Extraction. - Philipp Fleck; Stephan Winkler 001; Michael Kommenda; Michael Affenzeller (EUROCAST (1), 2024)

Modelling the Risk of Overweight and Obesity Based on the GenObiA Dataset Using Genetic Programming. - José Ignacio Hidalgo; Elisabeth Mayrhuber; Stephan M. Winkler; Daniel Parra; J. Manuel Velasco; José J. Zamorano-León; Oscar Garnica (EUROCAST (2), 2024)

Source Localization for Electrohydraulic Shockwave Devices. - Hannah Janout; Stephan Winkler 001; Cyrill Slezak (EUROCAST (2), 2024)

A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming. - Yousef A. Radwan; Gabriel Kronberger; Stephan Winkler 001 (EUROCAST (1), 2024)

Analysis of Fluorescence Images of C. elegans. - Jonas Schurr; Georg Sandner; Andreas Haghofer; Kerstin Hangweirer; Josef Scharinger; Stephan Winkler 001 (EUROCAST (2), 2024)

Data-Based Prediction of the Duration of the Postoperative Stay of Patients. - Julia Vetter; Marina Strobl; Louise M. Buur; Tilman Königswieser; Gerhard Halmerbauer; Stephan M. Winkler (EUROCAST (2), 2024)

Adaptive Operators for Genetic Programming to Identify Optimal Energy Flow Controllers. - Kathrin Kefer; Michael Affenzeller; Stephan M. Winkler (ISM, 2024)

Abstract: Nuclear Pleomorphism in Canine Cutaneous Mast Cell Tumors. - 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; et al. (Bildverarbeitung für die Medizin, 2025)