Gabriel Kronberger

134 papers A 5B 3C 2Misc 3Journal 50Unranked 65
YearRankTypeTitle / Venue / Authors
2025 — conf
Can Synthetic Data Improve Symbolic Regression Extrapolation Performance?
GECCO Companion
Fitria Wulandari Ramlan, Colm O'Riordan, Gabriel Kronberger, James McDermott
2025 J jnl
Can Synthetic Data Improve Symbolic Regression Extrapolation Performance?
CoRR
Fitria Wulandari Ramlan, Colm O'Riordan, Gabriel Kronberger, James McDermott
2025 — conf
Comparative Analysis of Model Selection Criteria for Symbolic Regression Using Genetic Programming.
IJCCI (2)
Fitria Wulandari Ramlan, Gabriel Kronberger, Colm O'Riordan, James McDermott
2025 J jnl
Effects of reducing redundant parameters in parameter optimization for symbolic regression using genetic programming.
J. Symb. Comput.
Gabriel Kronberger, Fabrício Olivetti de França
2025 J jnl
Equality Graph Assisted Symbolic Regression.
CoRR
Fabrício Olivetti de França, Gabriel Kronberger
2025 J jnl
Identification of Empirical Constitutive Models for Age-Hardenable Aluminium Alloy and High-Chromium Martensitic Steel Using Symbolic Regression.
CoRR
Evgeniya Kabliman, Gabriel Kronberger
2025 A conf
Improving Genetic Programming for Symbolic Regression with Equality Graphs.
GECCO
Fabrício Olivetti de França, Gabriel Kronberger
2025 J jnl
Improving Genetic Programming for Symbolic Regression with Equality Graphs.
CoRR
Fabrício Olivetti de França, Gabriel Kronberger
2025 J jnl
Introduction to Symbolic Regression in the Physical Sciences.
CoRR
Deaglan J. Bartlett, Harry Desmond, Pedro G. Ferreira, Gabriel Kronberger
2025 A conf
rEGGression: an Interactive and Agnostic Tool for the Exploration of Symbolic Regression Models.
GECCO
Fabrício Olivetti de França, Gabriel Kronberger
2025 J jnl
rEGGression: an Interactive and Agnostic Tool for the Exploration of Symbolic Regression Models.
CoRR
Fabrício Olivetti de França, Gabriel Kronberger
2025 J jnl
syren-baryon: Analytic emulators for the impact of baryons on the matter power spectrum.
CoRR
Lukas Kammerer, Deaglan J. Bartlett, Gabriel Kronberger, Harry Desmond, Pedro G. Ferreira
2024 — conf
A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming.
EUROCAST (1)
Yousef A. Radwan, Gabriel Kronberger, Stephan Winkler
2024 J jnl
A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming.
CoRR
Yousef A. Radwan, Gabriel Kronberger, Stephan M. Winkler
2024 — conf
Comparing Methods for Estimating Marginal Likelihood in Symbolic Regression.
GECCO Companion
Patrick E. Leser, Geoffrey F. Bomarito, Gabriel Kronberger, Fabrício Olivetti de França
2024 J jnl
Data Validation Utilizing Expert Knowledge and Shape Constraints.
ACM J. Data Inf. Qual.
Florian Bachinger, Lisa Ehrlinger, Gabriel Kronberger, Wolfram Wöß
2024 J jnl
Learning Difference Equations With Structured Grammatical Evolution for Postprandial Glycaemia Prediction.
IEEE J. Biomed. Health Informatics
Daniel Parra, David Joedicke, J. Manuel Velasco, Gabriel Kronberger, José Ignacio Hidalgo
2024 J jnl
The Inefficiency of Genetic Programming for Symbolic Regression - Extended Version.
CoRR
Gabriel Kronberger, Fabrício Olivetti de França, Harry Desmond, Deaglan J. Bartlett, Lukas Kammerer
2024 — conf
The Inefficiency of Genetic Programming for Symbolic Regression.
PPSN (1)
Gabriel Kronberger, Fabrício Olivetti de França, Harry Desmond, Deaglan J. Bartlett, Lukas Kammerer
2023 J jnl
A precise symbolic emulator of the linear matter power spectrum.
CoRR
Deaglan J. Bartlett, Lukas Kammerer, Gabriel Kronberger, Harry Desmond, Pedro G. Ferreira, Benjamin D. Wandelt, Bogdan Burlacu, David Alonso, Matteo Zennaro
2023 J jnl
Learning Difference Equations with Structured Grammatical Evolution for Postprandial Glycaemia Prediction.
CoRR
Daniel Parra, David Joedicke, J. Manuel Velasco, Gabriel Kronberger, José Ignacio Hidalgo
2023 A conf
Reducing Overparameterization of Symbolic Regression Models with Equality Saturation.
GECCO
Fabrício Olivetti de França, Gabriel Kronberger
2023 — conf
Shape-constrained Symbolic Regression: Real-World Applications in Magnetization, Extrusion and Data Validation.
GPTP
Christian Haider, Fabrício Olivetti de França, Bogdan Burlacu, Florian Bachinger, Gabriel Kronberger, Michael Affenzeller
2023 J jnl
Shape-constrained multi-objective genetic programming for symbolic regression.
Appl. Soft Comput.
Christian Haider, Fabrício Olivetti de França, Bogdan Burlacu, Gabriel Kronberger
2022 — conf
Comparing Shape-Constrained Regression Algorithms for Data Validation.
EUROCAST
Florian Bachinger, Gabriel Kronberger
2022 J jnl
Comparing Shape-Constrained Regression Algorithms for Data Validation.
CoRR
Florian Bachinger, Gabriel Kronberger
2022 A conf
Comparing optimistic and pessimistic constraint evaluation in shape-constrained symbolic regression.
GECCO
Christian Haider, Fabrício Olivetti de França, Gabriel Kronberger, Bogdan Burlacu
2022 Misc conf
Identification of Discrete Non-Linear Dynamics of a Radio-Frequency Power Amplifier Circuit using Symbolic Regression.
SYNASC
Martin Steiger, Hans Georg Brachtendorf, Gabriel Kronberger
2022 C conf
Identification of Surrogate Models for the Prediction of Degrees of Freedom within a Tolerance Chain.
ISM
Hannah Janout, Thomas Paier, Carina Ringelhahn, Michael Heckmann, Andreas Haghofer, Gabriel Kronberger, Stephan Winkler
2022 — conf
Identifying Differential Equations for the Prediction of Blood Glucose using Sparse Identification of Nonlinear Systems.
EUROCAST
David Joedicke, Daniel Parra, Gabriel Kronberger, Stephan M. Winkler
2022 J jnl
Identifying Differential Equations to predict Blood Glucose using Sparse Identification of Nonlinear Systems.
CoRR
David Jödicke, Daniel Parra, Gabriel Kronberger, Stephan M. Winkler
2022 Misc conf
Local Optimization Often is Ill-conditioned in Genetic Programming for Symbolic Regression.
SYNASC
Gabriel Kronberger
2022 J jnl
Local Optimization Often is Ill-conditioned in Genetic Programming for Symbolic Regression.
CoRR
Gabriel Kronberger
2022 J jnl
Prediction Intervals and Confidence Regions for Symbolic Regression Models based on Likelihood Profiles.
CoRR
Fabrício Olivetti de França, Gabriel Kronberger
2022 J jnl
Shape-Constrained Symbolic Regression - Improving Extrapolation with Prior Knowledge.
Evol. Comput.
Gabriel Kronberger, Fabrício Olivetti de França, Bogdan Burlacu, Christian Haider, Michael Kommenda
2022 — conf
Shape-Constrained Symbolic Regression with NSGA-III.
EUROCAST
Christian Haider, Gabriel Kronberger
2022 Misc conf
Steel Phase Kinetics Modeling using Symbolic Regression.
SYNASC
David Piringer, Bernhard Bloder, Gabriel Kronberger
2022 J jnl
Steel Phase Kinetics Modeling using Symbolic Regression.
CoRR
David Piringer, Bernhard Bloder, Gabriel Kronberger
2022 — conf
Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data.
GPTP
Bogdan Burlacu, Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller
2022 J jnl
Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data.
CoRR
Bogdan Burlacu, Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller
2022 — conf
Symbolic Regression with Fast Function Extraction and Nonlinear Least Squares Optimization.
EUROCAST
Lukas Kammerer, Gabriel Kronberger, Michael Kommenda
2022 J jnl
Symbolic Regression with Fast Function Extraction and Nonlinear Least Squares Optimization.
CoRR
Lukas Kammerer, Gabriel Kronberger, Michael Kommenda
2021 J jnl
Cluster Analysis of a Symbolic Regression Search Space.
CoRR
Gabriel Kronberger, Lukas Kammerer, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller
2021 J jnl
Complexity Measures for Multi-objective Symbolic Regression.
CoRR
Michael Kommenda, Andreas Beham, Michael Affenzeller, Gabriel Kronberger
2021 J jnl
Concept Drift Detection with Variable Interaction Networks.
CoRR
Jan Zenisek, Gabriel Kronberger, Josef Wolfartsberger, Norbert Wild, Michael Affenzeller
2021 J jnl
Concept for a Technical Infrastructure for Management of Predictive Models in Industrial Applications.
CoRR
Florian Bachinger, Gabriel Kronberger
2021 J jnl
Data Aggregation for Reducing Training Data in Symbolic Regression.
CoRR
Lukas Kammerer, Gabriel Kronberger, Michael Kommenda
2021 — conf
Empirical analysis of variance for genetic programming based symbolic regression.
GECCO Companion
Lukas Kammerer, Gabriel Kronberger, Stephan M. Winkler
2021 B conf
Estimation of Grain-Level Residual Stresses in a Quenched Cylindrical Sample of Aluminum Alloy AA5083 Using Genetic Programming.
EvoApplications
Laura Millán, Gabriel Kronberger, José Ignacio Hidalgo, Ricardo Fernández, Oscar Garnica, Gaspar González-Doncel
2021 J jnl
Hash-Based Tree Similarity and Simplification in Genetic Programming for Symbolic Regression.
CoRR
Bogdan Burlacu, Lukas Kammerer, Michael Affenzeller, Gabriel Kronberger
2021 J jnl
Identification of Dynamical Systems using Symbolic Regression.
CoRR
Gabriel Kronberger, Lukas Kammerer, Michael Kommenda
2021 J jnl
Optimization Networks for Integrated Machine Learning.
CoRR
Michael Kommenda, Johannes Karder, Andreas Beham, Bogdan Burlacu, Gabriel Kronberger, Stefan Wagner, Michael Affenzeller
2021 J jnl
Predicting Calibration Parameter Values for Constitutive Models using Genetic Programming.
CoRR
Gabriel Kronberger, Evgeniya Kabliman, Johannes Kronsteiner, Michael Kommenda
2021 J jnl
Predicting Friction System Performance with Symbolic Regression and Genetic Programming with Factor Variables.
CoRR
Gabriel Kronberger, Michael Kommenda, Andreas Promberger, Falk Nickel
2021 J jnl
Shape-constrained Symbolic Regression - Improving Extrapolation with Prior Knowledge.
CoRR
Gabriel Kronberger, Fabrício Olivetti de França, Bogdan Burlacu, Christian Haider, Michael Kommenda
2021 J jnl
Smooth Symbolic Regression: Transformation of Symbolic Regression into a Real-valued Optimization Problem.
CoRR
Erik Pitzer, Gabriel Kronberger
2021 J jnl
Symbolic Regression by Exhaustive Search: Reducing the Search Space Using Syntactical Constraints and Efficient Semantic Structure Deduplication.
CoRR
Lukas Kammerer, Gabriel Kronberger, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller
2021 J jnl
Using Shape Constraints for Improving Symbolic Regression Models.
CoRR
Christian Haider, Fabrício Olivetti de França, Bogdan Burlacu, Gabriel Kronberger
2020 — conf
Analysis of the performance of Genetic Programming on the Blood Glucose Level Prediction Challenge 2020.
KDH@ECAI
David Joedicke, Gabriel Kronberger, José Manuel Colmenar, Stephan M. Winkler, José Manuel Velasco, Sergio Contador, José Ignacio Hidalgo
2020 J jnl
Multilayer analysis of population diversity in grammatical evolution for symbolic regression.
Soft Comput.
Gabriel Kronberger, J. Manuel Colmenar, Stephan M. Winkler, José Ignacio Hidalgo
2020 — conf
Operon C++: an efficient genetic programming framework for symbolic regression.
GECCO Companion
Bogdan Burlacu, Gabriel Kronberger, Michael Kommenda
2020 J jnl
Parameter identification for symbolic regression using nonlinear least squares.
Genet. Program. Evolvable Mach.
Michael Kommenda, Bogdan Burlacu, Gabriel Kronberger, Michael Affenzeller
2019 — conf
Concept Drift Detection with Variable Interaction Networks.
EUROCAST (1)
Jan Zenisek, Gabriel Kronberger, Josef Wolfartsberger, Norbert Wild, Michael Affenzeller
2019 — conf
Concept for a Technical Infrastructure for Management of Predictive Models in Industrial Applications.
EUROCAST (1)
Florian Bachinger, Gabriel Kronberger
2019 — conf
Data Aggregation for Reducing Training Data in Symbolic Regression.
EUROCAST (1)
Lukas Kammerer, Gabriel Kronberger, Michael Kommenda
2019 — conf
Hash-Based Tree Similarity and Simplification in Genetic Programming for Symbolic Regression.
EUROCAST (1)
Bogdan Burlacu, Lukas Kammerer, Michael Affenzeller, Gabriel Kronberger
2019 — conf
Identification of Dynamical Systems Using Symbolic Regression.
EUROCAST (1)
Gabriel Kronberger, Lukas Kammerer, Michael Kommenda
2019 B conf
Online Diversity Control in Symbolic Regression via a Fast Hash-based Tree Similarity Measure.
CEC
Bogdan Burlacu, Michael Affenzeller, Gabriel Kronberger, Michael Kommenda
2019 J jnl
Online Diversity Control in Symbolic Regression via a Fast Hash-based Tree Similarity Measure.
CoRR
Bogdan Burlacu, Michael Affenzeller, Gabriel Kronberger, Michael Kommenda
2019 — conf
Parsimony measures in multi-objective genetic programming for symbolic regression.
GECCO (Companion)
Bogdan Burlacu, Gabriel Kronberger, Michael Kommenda, Michael Affenzeller
2019 — conf
Symbolic Regression by Exhaustive Search: Reducing the Search Space Using Syntactical Constraints and Efficient Semantic Structure Deduplication.
GPTP
Lukas Kammerer, Gabriel Kronberger, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller
2019 C conf
Using Ontologies to Express Prior Knowledge for Genetic Programming.
CD-MAKE
Stefan Prieschl, Dominic Girardi, Gabriel Kronberger
2018 — conf
Cluster Analysis of a Symbolic Regression Search Space.
GPTP
Gabriel Kronberger, Lukas Kammerer, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller
2018 — ch.
Identification of Models for Glucose Blood Values in Diabetics by Grammatical Evolution.
Handbook of Grammatical Evolution
José Ignacio Hidalgo, J. Manuel Colmenar, J. Manuel Velasco, Gabriel Kronberger, Stephan M. Winkler, Oscar Garnica, Juan Lanchares
2018 A conf
Predicting friction system performance with symbolic regression and genetic programming with factor variables.
GECCO
Gabriel Kronberger, Michael Kommenda, Andreas Promberger, Falk Nickel
2018 J jnl
Using robust generalized fuzzy modeling and enhanced symbolic regression to model tribological systems.
Appl. Soft Comput.
Gabriel Kronberger, Michael Kommenda, Edwin Lughofer, Susanne Saminger-Platz, Andreas Promberger, Falk Nickel, Stephan M. Winkler, Michael Affenzeller
2017 — conf
Analysis of Schema Frequencies in Genetic Programming.
EUROCAST (1)
Bogdan Burlacu, Michael Affenzeller, Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler
2017 J jnl
Data Based Prediction of Blood Glucose Concentrations Using Evolutionary Methods.
J. Medical Syst.
José Ignacio Hidalgo, J. Manuel Colmenar, Gabriel Kronberger, Stephan M. Winkler, Oscar Garnica, Juan Lanchares
2017 — conf
Dynamic observation of genotypic and phenotypic diversity for different symbolic regression GP variants.
GECCO (Companion)
Michael Affenzeller, Stephan M. Winkler, Bogdan Burlacu, Gabriel Kronberger, Michael Kommenda, Stefan Wagner
2017 — conf
Glucose Prognosis by Grammatical Evolution.
EUROCAST (1)
José Ignacio Hidalgo, J. Manuel Colmenar, Gabriel Kronberger, Stephan M. Winkler
2017 — conf
Measures for the Evaluation and Comparison of Graphical Model Structures.
EUROCAST (1)
Gabriel Kronberger, Bogdan Burlacu, Michael Kommenda, Stephan M. Winkler, Michael Affenzeller
2017 — conf
Offspring Selection Genetic Algorithm Revisited: Improvements in Efficiency by Early Stopping Criteria in the Evaluation of Unsuccessful Individuals.
EUROCAST (1)
Michael Affenzeller, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Gabriel Kronberger, Stefan Wagner
2017 — conf
Optimization Networks for Integrated Machine Learning.
EUROCAST (1)
Michael Kommenda, Johannes Karder, Andreas Beham, Bogdan Burlacu, Gabriel Kronberger, Stefan Wagner, Michael Affenzeller
2017 — conf
Schema Analysis in Tree-Based Genetic Programming.
GPTP
Bogdan Burlacu, Michael Affenzeller, Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler
2016 J jnl
Heterogeneous model ensembles for short-term prediction of stock market trends.
Int. J. Simul. Process. Model.
Stephan M. Winkler, Bonifacio Castaño, Sergio Luengo-Sanchez, Susanne Schaller, Gabriel Kronberger, Michael Affenzeller
2016 — conf
Predicting Glycemia in Diabetic Patients By Evolutionary Computation and Continuous Glucose Monitoring.
GECCO (Companion)
J. Manuel Colmenar, Stephan M. Winkler, Gabriel Kronberger, Esther Maqueda, Marta Botella, José Ignacio Hidalgo
2016 — conf
Robust Fuzzy Modeling and Symbolic Regression for Establishing Accurate and Interpretable Prediction Models in Supervising Tribological Systems.
IJCCI (FCTA)
Edwin Lughofer, Gabriel Kronberger, Michael Kommenda, Susanne Saminger-Platz, Andreas Promberger, Falk Nickel, Stephan M. Winkler, Michael Affenzeller
2016 — conf
Similarity-Based Analysis of Population Dynamics in Genetic Programming Performing Symbolic Regression.
GPTP
Stephan M. Winkler, Michael Affenzeller, Bogdan Burlacu, Gabriel Kronberger, Michael Kommenda, Philipp Fleck
2015 — conf
Complexity Measures for Multi-objective Symbolic Regression.
EUROCAST
Michael Kommenda, Andreas Beham, Michael Affenzeller, Gabriel Kronberger
2015 — ch.
Concise Supply-Chain Simulation Optimization for Large Scale Logistic Networks.
Computational Intelligence and Efficiency in Engineering Systems
Erik Pitzer, Gabriel Kronberger
2015 — conf
Dynamics of Predictability and Variable Influences Identified in Financial Data Using Sliding Window Machine Learning.
EUROCAST
Stephan M. Winkler, Gabriel Kronberger, Michael Kommenda, Stefan Fink, Michael Affenzeller
2015 — conf
Evolving Simple Symbolic Regression Models by Multi-Objective Genetic Programming.
GPTP
Michael Kommenda, Gabriel Kronberger, Michael Affenzeller, Stephan M. Winkler, Bogdan Burlacu
2015 — ch.
Methods for Genealogy and Building Block Analysis in Genetic Programming.
Computational Intelligence and Efficiency in Engineering Systems
Bogdan Burlacu, Michael Affenzeller, Stephan M. Winkler, Michael Kommenda, Gabriel Kronberger
2015 — ch.
Multi-Population Genetic Programming with Data Migration for Symbolic Regression.
Computational Intelligence and Efficiency in Engineering Systems
Michael Kommenda, Michael Affenzeller, Gabriel Kronberger, Bogdan Burlacu, Stephan M. Winkler
2015 — ch.
Search Strategies for Grammatical Optimization Problems - Alternatives to Grammar-Guided Genetic Programming.
Computational Intelligence and Efficiency in Engineering Systems
Gabriel Kronberger, Michael Kommenda
2015 — conf
Smooth Symbolic Regression: Transformation of Symbolic Regression into a Real-Valued Optimization Problem.
EUROCAST
Erik Pitzer, Gabriel Kronberger
2015 — conf
Using Contextual Information in Sequential Search for Grammatical Optimization Problems.
EUROCAST
Gabriel Kronberger, Michael Kommenda, Stephan M. Winkler, Michael Affenzeller
2014 — conf
Genetic programming with data migration for symbolic regression.
GECCO (Companion)
Michael Kommenda, Michael Affenzeller, Bogdan Burlacu, Gabriel Kronberger, Stephan M. Winkler
2014 — conf
Scripting and framework integration in heuristic optimization environments.
GECCO (Companion)
Andreas Beham, Johannes Karder, Gabriel Kronberger, Stefan Wagner, Michael Kommenda, Andreas Scheibenpflug
2014 — conf
Sliding Window Symbolic Regression for Detecting Changes of System Dynamics.
GPTP
Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, Michael Kommenda, Bogdan Burlacu, Stefan Wagner
2014 J jnl
Using FE Calculations and Data-Based System Identification Techniques to Model the Nonlinear Behavior of PMSMs.
IEEE Trans. Ind. Electron.
Gerd Bramerdorfer, Stephan M. Winkler, Michael Kommenda, Günther Weidenholzer, Siegfried Silber, Gabriel Kronberger, Michael Affenzeller, Wolfgang Amrhein
2013 J jnl
Better GP benchmarks: community survey results and proposals.
Genet. Program. Evolvable Mach.
David Robert White, James McDermott, Mauro Castelli, Luca Manzoni, Brian W. Goldman, Gabriel Kronberger, Wojciech Jaskowski, Una-May O'Reilly, Sean Luke
2013 J jnl
Data Mining using Unguided Symbolic Regression on a Blast Furnace Dataset.
CoRR
Michael Kommenda, Gabriel Kronberger, Christoph Feilmayr, Michael Affenzeller
2013 — conf
Declarative Modeling and Bayesian Inference of Dark Matter Halos.
EUROCAST (1)
Gabriel Kronberger
2013 — conf
Effects of constant optimization by nonlinear least squares minimization in symbolic regression.
GECCO (Companion)
Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller, Stefan Wagner
2013 — conf
Evolution of Covariance Functions for Gaussian Process Regression Using Genetic Programming.
EUROCAST (1)
Gabriel Kronberger, Michael Kommenda
2013 J jnl
Evolution of Covariance Functions for Gaussian Process Regression using Genetic Programming
CoRR
Gabriel Kronberger, Michael Kommenda
2013 — conf
GPDL: a framework-independent problem definition language for grammar-guided genetic programming.
GECCO (Companion)
Gabriel Kronberger, Michael Kommenda, Stefan Wagner, Heinz Dobler
2013 — conf
Gaining Deeper Insights in Symbolic Regression.
GPTP
Michael Affenzeller, Stephan M. Winkler, Gabriel Kronberger, Michael Kommenda, Bogdan Burlacu, Stefan Wagner
2013 — conf
Nonlinear Least Squares Optimization of Constants in Symbolic Regression.
EUROCAST (1)
Michael Kommenda, Michael Affenzeller, Gabriel Kronberger, Stephan M. Winkler
2013 J jnl
On the Success Rate of Crossover Operators for Genetic Programming with Offspring Selection.
CoRR
Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller, Andreas Beham, Stefan Wagner
2013 J jnl
On the use of estimated tumour marker classifications in tumour diagnosis prediction - a case study for breast cancer.
Int. J. Simul. Process. Model.
Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, Michael Kommenda, Stefan Wagner, Viktoria Dorfer, Witold Jacak, Herbert Stekel
2013 — conf
Visualization of genetic lineages and inheritance information in genetic programming.
GECCO (Companion)
Bogdan Burlacu, Michael Affenzeller, Michael Kommenda, Stephan M. Winkler, Gabriel Kronberger
2012 — conf
Algorithm and experiment design with heuristic lab: an open source optimization environment for research and education.
GECCO (Companion)
Stefan Wagner, Gabriel Kronberger
2012 — conf
Combining Data Mining and Ontology Engineering to Enrich Ontologies and Linked Data.
KNOW@LOD
Mathieu d'Aquin, Gabriel Kronberger, Mari Carmen Suárez-Figueroa
2012 — conf
Knowledge Discovery through Symbolic Regression with HeuristicLab.
ECML/PKDD (2)
Gabriel Kronberger, Stefan Wagner, Michael Kommenda, Andreas Beham, Andreas Scheibenpflug, Michael Affenzeller
2012 J jnl
Macro-Economic Time Series Modeling and Interaction Networks
CoRR
Gabriel Kronberger, Stefan Fink, Michael Kommenda, Michael Affenzeller
2012 — conf
On the architecture and implementation of tree-based genetic programming in HeuristicLab.
GECCO (Companion)
Michael Kommenda, Gabriel Kronberger, Stefan Wagner, Stephan M. Winkler, Michael Affenzeller
2011 — conf
Algorithm and experiment design with heuristiclab: an open source optimization environment for research and education.
GECCO (Companion)
Stefan Wagner, Gabriel Kronberger
2011 — conf
Analysis of Selected Evolutionary Algorithms in Feature Selection and Parameter Optimization for Data Based Tumor Marker Modeling.
EUROCAST (1)
Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, Michael Kommenda, Stefan Wagner, Witold Jacak, Herbert Stekel
2011 — conf
Application of Symbolic Regression on Blast Furnace and Temper Mill Datasets.
EUROCAST (1)
Michael Kommenda, Gabriel Kronberger, Christoph Feilmayr, Leonhard Schickmair, Michael Affenzeller, Stephan M. Winkler, Stefan Wagner
2011 — conf
Data Mining Using Unguided Symbolic Regression on a Blast Furnace Dataset.
EvoApplications (1)
Michael Kommenda, Gabriel Kronberger, Christoph Feilmayr, Michael Affenzeller
2011 — conf
Improving the Parsimony of Regression Models for an Enhanced Genetic Programming Process.
EUROCAST (1)
Alexandru-Ciprian Zavoianu, Gabriel Kronberger, Michael Kommenda, Daniela Zaharie, Michael Affenzeller
2011 — conf
Macro-economic Time Series Modeling and Interaction Networks.
EvoApplications (2)
Gabriel Kronberger, Stefan Fink, Michael Kommenda, Michael Affenzeller
2011 — conf
Market Basket Analysis of Retail Data: Supervised Learning Approach.
EUROCAST (1)
Gabriel Kronberger, Michael Affenzeller
2011 — conf
Overfitting detection and adaptive covariant parsimony pressure for symbolic regression.
GECCO (Companion)
Gabriel Kronberger, Michael Kommenda, Michael Affenzeller
2011 — conf
Parameter Meta-optimization of Metaheuristic Optimization Algorithms.
EUROCAST (1)
Christoph Neumüller, Stefan Wagner, Gabriel Kronberger, Michael Affenzeller
2009 — ch.
Metaheuristic Optimization.
Hagenberg Research
Michael Affenzeller, Andreas Beham, Monika Kofler, Gabriel Kronberger, Stefan A. Wagner, Stephan M. Winkler
2009 — conf
Model Driven Rapid Prototyping of Heuristic Optimization Algorithms.
EUROCAST
Stefan Wagner, Gabriel Kronberger, Andreas Beham, Stephan M. Winkler, Michael Affenzeller
2009 B conf
On Crossover Success Rate in Genetic Programming with Offspring Selection.
EuroGP
Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller, Stefan Wagner
2009 — conf
On the Success Rate of Crossover Operators for Genetic Programming with Offspring Selection.
EUROCAST
Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller, Andreas Beham, Stefan Wagner
2009 — conf
Priority Rule Generation with a Genetic Algorithm to Minimize Sequence Dependent Setup Costs.
EUROCAST
Monika Kofler, Stefan Wagner, Andreas Beham, Gabriel Kronberger, Michael Affenzeller
2007 — conf
Bandit-Based Monte-Carlo Planning for the Single-Machine Total Weighted Tardiness Scheduling Problem.
EUROCAST
Gabriel Kronberger, Roland Braune
2007 — conf
Benefits of Plugin-Based Heuristic Optimization Software Systems.
EUROCAST
Stefan Wagner, Stephan M. Winkler, Erik Pitzer, Gabriel Kronberger, Andreas Beham, Roland Braune, Michael Affenzeller