Stephan M. Winkler

According to our database1, Stephan M. Winkler authored at least 90 papers between 2005 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Multilayer analysis of population diversity in grammatical evolution for symbolic regression.
Soft Comput., 2020

Evolutionary optimization of image processing for cell detection in microscopy images.
Soft Comput., 2020

Analysis of the performance of Genetic Programming on the Blood Glucose Level Prediction Challenge 2020.
Proceedings of the 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence, 2020

PySpot: A Python based Framework for the Assessment of Laser-modified 3D Microstructures for Windows and Raspbian.
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

2019
Symbolic Regression by Exhaustive Search: Reducing the Search Space Using Syntactical Constraints and Efficient Semantic Structure Deduplication.
Proceedings of the Genetic Programming Theory and Practice XVII [GPTP 2019, 2019

A Model-Based Learning Approach for Controlling the Energy Flows of a Residential Household Using Genetic Programming to Perform Symbolic Regression.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

White Box vs. Black Box Modeling: On the Performance of Deep Learning, Random Forests, and Symbolic Regression in Solving Regression Problems.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

2018
Using robust generalized fuzzy modeling and enhanced symbolic regression to model tribological systems.
Appl. Soft Comput., 2018

Cluster Analysis of a Symbolic Regression Search Space.
Proceedings of the Genetic Programming Theory and Practice XVI, 2018

Identification of Models for Glucose Blood Values in Diabetics by Grammatical Evolution.
Proceedings of the Handbook of Grammatical Evolution, 2018

2017
Data Based Prediction of Blood Glucose Concentrations Using Evolutionary Methods.
J. Medical Syst., 2017

Schema Analysis in Tree-Based Genetic Programming.
Proceedings of the Genetic Programming Theory and Practice XV, 2017

Dynamic observation of genotypic and phenotypic diversity for different symbolic regression GP variants.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Fitness Landscape Analysis in the Optimization of Coefficients of Curve Parametrizations.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

Measures for the Evaluation and Comparison of Graphical Model Structures.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

Glucose Prognosis by Grammatical Evolution.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

Analysis of Schema Frequencies in Genetic Programming.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

Offspring Selection Genetic Algorithm Revisited: Improvements in Efficiency by Early Stopping Criteria in the Evaluation of Unsuccessful Individuals.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

2016
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., 2016

A heuristic and evolutionary algorithm to optimize the coefficients of curve parametrizations.
J. Comput. Appl. Math., 2016

Heterogeneous model ensembles for short-term prediction of stock market trends.
Int. J. Simul. Process. Model., 2016

Robust Fuzzy Modeling and Symbolic Regression for Establishing Accurate and Interpretable Prediction Models in Supervising Tribological Systems.
Proceedings of the 8th International Joint Conference on Computational Intelligence, 2016

Similarity-Based Analysis of Population Dynamics in Genetic Programming Performing Symbolic Regression.
Proceedings of the Genetic Programming Theory and Practice XIV, 2016

Predicting Glycemia in Diabetic Patients By Evolutionary Computation and Continuous Glucose Monitoring.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2015
Identification and Classification of Objects and Motions in Microscopy Images of Biological Samples Using Heuristic Algorithms.
Proceedings of the Computational Intelligence and Efficiency in Engineering Systems, 2015

Multi-Population Genetic Programming with Data Migration for Symbolic Regression.
Proceedings of the Computational Intelligence and Efficiency in Engineering Systems, 2015

Methods for Genealogy and Building Block Analysis in Genetic Programming.
Proceedings of the Computational Intelligence and Efficiency in Engineering Systems, 2015

Data-based prediction of sentiments using heterogeneous model ensembles.
Soft Comput., 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.
BMC Bioinform., 2015

Optimization of Trading Rules for the Spanish Stock Market by Genetic Programming.
Proceedings of the Current Approaches in Applied Artificial Intelligence, 2015

Data-Based Identification of Prediction Models for Glucose.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

A Symbolic Regression Based Scoring System Improving Peptide Identifications for MS Amanda.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Dynamics of Predictability and Variable Influences Identified in Financial Data Using Sliding Window Machine Learning.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

Classification of the States of Human Adaptive Immune Systems by Analyzing Immunoglobulin and T Cell Receptors Using ImmunExplorer.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

Prediction of Stem Cell Differentiation in Human Amniotic Membrane Images Using Machine Learning.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

Using Contextual Information in Sequential Search for Grammatical Optimization Problems.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

Classifying Human Blood Samples Using Characteristics of Single Molecules and Cell Structures on Microscopy Images.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

Optimization Strategies for Integrated Knapsack and Traveling Salesman Problems.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

Increasing the Sensitivity of Cancer Predictors Using Confidence Based Ensemble Modeling.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

2014
Using FE Calculations and Data-Based System Identification Techniques to Model the Nonlinear Behavior of PMSMs.
IEEE Trans. Ind. Electron., 2014

Identification of a nonlinear PMSM model using symbolic regression and its application to current optimization scenarios.
Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014

Sliding Window Symbolic Regression for Detecting Changes of System Dynamics.
Proceedings of the Genetic Programming Theory and Practice XII, 2014

Data based prediction of cancer diagnoses using heterogeneous model ensembles: a case study for breast cancer, melanoma, and cancer in the respiratory system.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Genetic programming with data migration for symbolic regression.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013
On the use of estimated tumour marker classifications in tumour diagnosis prediction - a case study for breast cancer.
Int. J. Simul. Process. Model., 2013

Gaining Deeper Insights in Symbolic Regression.
Proceedings of the Genetic Programming Theory and Practice XI [GPTP 2013, 2013

Evolutionary identification of cancer predictors using clustered data: a case study for breast cancer, melanoma, and cancer in the respiratory system.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Effects of constant optimization by nonlinear least squares minimization in symbolic regression.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Visualization of genetic lineages and inheritance information in genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

An Integrated Clustering and Classification Approach for the Analysis of Tumor Patient Data.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013

Statistical Analysis of the Relationship between Spots and Structures in Microscopy Images.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013

Nonlinear Least Squares Optimization of Constants in Symbolic Regression.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013

Improving the Accuracy of Cancer Prediction by Ensemble Confidence Evaluation.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013

2012
Analysis of Allele Distribution Dynamics in Different Genetic Algorithms.
Proceedings of the Recent Advances in Intelligent Engineering Systems, 2012

On the architecture and implementation of tree-based genetic programming in HeuristicLab.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

On Text Preprocessing for Opinion Mining Outside of Laboratory Environments.
Proceedings of the Active Media Technology - 8th International Conference, 2012

2011
Analysis of the effects of enhanced selection concepts for genetic programming based structure identification using fine-grained population diversity estimation.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Identification of cancer diagnosis estimation models using evolutionary algorithms: a case study for breast cancer, melanoma, and cancer in the respiratory system.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

On the performance of evolutionary algorithms in biomedical keyword clustering.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Analysis of Selected Evolutionary Algorithms in Feature Selection and Parameter Optimization for Data Based Tumor Marker Modeling.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011

Application of Symbolic Regression on Blast Furnace and Temper Mill Datasets.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011

Analysis of Single-Objective and Multi-Objective Evolutionary Algorithms in Keyword Cluster Optimization.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011

The role of data choice in data driven identification for online emission models.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, 2011

2010
Effective allele preservation by offspring selection: an empirical study for the TSP.
Int. J. Simul. Process. Model., 2010

Structural Versus Evaluation Based Solutions Similarity in Genetic Programming Based System Identification.
Proceedings of the Nature Inspired Cooperative Strategies for Optimization, 2010

Classification of tumor marker values using heuristic data mining methods.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009
Using enhanced genetic programming techniques for evolving classifiers in the context of medical diagnosis.
Genet. Program. Evolvable Mach., 2009

Fine grained population diversity analysis for parallel genetic programming.
Proceedings of the 23rd IEEE International Symposium on Parallel and Distributed Processing, 2009

About the dynamics of essential genetic information: an empirical analysis for selected GA-variants.
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

On Crossover Success Rate in Genetic Programming with Offspring Selection.
Proceedings of the Genetic Programming, 12th European Conference, 2009

Virtual Sensors for Emissions of a Diesel Engine Produced by Evolutionary System Identification.
Proceedings of the Computer Aided Systems Theory, 2009

Model Driven Rapid Prototyping of Heuristic Optimization Algorithms.
Proceedings of the Computer Aided Systems Theory, 2009

On Structural Identification of 2D Regression Functions for Indoor Bluetooth Localization.
Proceedings of the Computer Aided Systems Theory, 2009

On the Success Rate of Crossover Operators for Genetic Programming with Offspring Selection.
Proceedings of the Computer Aided Systems Theory, 2009

On the Influence of Selection Schemes on the Genetic Diversity in Genetic Algorithms.
Proceedings of the Computer Aided Systems Theory, 2009

Metaheuristic Optimization.
Proceedings of the Hagenberg Research, 2009

Genetic Algorithms and Genetic Programming - Modern Concepts and Practical Applications.
CRC Press, ISBN: 978-1-58488-629-7, 2009

2008
A genetic programming approach to solve scheduling problems with parallel simulation.
Proceedings of the 22nd IEEE International Symposium on Parallel and Distributed Processing, 2008

Fine-grained population diversity estimation for genetic programming based structure identification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

2007
Advanced Genetic Programming Based Machine Learning.
J. Math. Model. Algorithms, 2007

Online modelling based on Genetic Programming.
Int. J. Intell. Syst. Technol. Appl., 2007

Aspects of adaptation in natural and artificial evolution.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Selection Pressure Driven Sliding Window Behavior in Genetic Programming Based Structure Identification.
Proceedings of the Computer Aided Systems Theory, 2007

Benefits of Plugin-Based Heuristic Optimization Software Systems.
Proceedings of the Computer Aided Systems Theory, 2007

Self-adaptive Population Size Adjustment for Genetic Algorithms.
Proceedings of the Computer Aided Systems Theory, 2007

2006
Advances in applying genetic programming to machine learning, focussing on classification problems.
Proceedings of the 20th International Parallel and Distributed Processing Symposium (IPDPS 2006), 2006

Sets of receiver operating characteristic curves and their use in the evaluation of multi-class classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

2005
GA-Selection Revisited from an ES-Driven Point of View.
Proceedings of the Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach: First International Work-Conference on the Interplay Between Natural and Artificial Computation, 2005

Goal-oriented preservation of essential genetic information by offspring selection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

On-Line Modelling Based on Genetic Programming.
Proceedings of the International Workshop on Automatic Learning and Real-Time, 2005


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