Michael Kommenda - Citegraph

Author Info

Name	Affiliation	Papers
MICHAEL KOMMENDA	School for Informatics, Communication and Media, University of Applied Sciences Upper Austria, Austria	34
Collaborators	Citations	PageRank
40	97	15.58
Referers	Referees	References
218	377	203

Search Limit

100377

Publications (34 rows)

Collaborators (40 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Parameter identification for symbolic regression using nonlinear least squares	3	0.41	2020
Operon C++: an efficient genetic programming framework for symbolic regression	0	0.34	2020
Symbolic Regression by Exhaustive Search - Reducing the Search Space Using Syntactical Constraints and Efficient Semantic Structure Deduplication.	0	0.34	2019
Parsimony measures in multi-objective genetic programming for symbolic regression.	0	0.34	2019
Novel robustness measures for engineering design optimisation.	0	0.34	2018
Predicting friction system performance with symbolic regression and genetic programming with factor variables.	0	0.34	2018
Optimization Networks For Integrated Machine Learning	0	0.34	2017
Analysis Of Schema Frequencies In Genetic Programming	1	0.37	2017
Measures For The Evaluation And Comparison Of Graphical Model Structures	0	0.34	2017
Towards the design and implementation of optimization networks in HeuristicLab.	3	0.76	2017
Dynamic observation of genotypic and phenotypic diversity for different symbolic regression GP variants.	2	0.37	2017
Offspring Selection Genetic Algorithm Revisited: Improvements In Efficiency By Early Stopping Criteria In The Evaluation Of Unsuccessful Individuals	0	0.34	2017
Robust Fuzzy Modeling And Symbolic Regression For Establishing Accurate And Interpretable Prediction Models In Supervising Tribological Systems	3	0.44	2016
Simplifying Problem Definitions in the HeuristicLab Optimization Environment	0	0.34	2015
Scripting and framework integration in heuristic optimization environments	1	0.37	2014
Genetic programming with data migration for symbolic regression	4	0.54	2014
On the Evolutionary Behavior of Genetic Programming with Constants Optimization	1	0.35	2013
Structural Synthesis of Dispatching Rules for Dynamic Dial-a-Ride Problems	3	0.40	2013
Nonlinear Least Squares Optimization of Constants in Symbolic Regression	1	0.49	2013
Effects of constant optimization by nonlinear least squares minimization in symbolic regression	20	0.81	2013
Visualization of genetic lineages and inheritance information in genetic programming	6	0.50	2013
GPDL: a framework-independent problem definition language for grammar-guided genetic programming	2	0.43	2013
Gaining Deeper Insights in Symbolic Regression.	6	0.69	2013
Evolution of Covariance Functions for Gaussian Process Regression Using Genetic Programming	1	0.36	2013
On the use of estimated tumour marker classifications in tumour diagnosis prediction - a case study for breast cancer	2	0.50	2013
Data mining using unguided symbolic regression on a blast furnace dataset	0	0.34	2013
Knowledge discovery through symbolic regression with heuristiclab	1	0.35	2012
On the architecture and implementation of tree-based genetic programming in HeuristicLab	7	0.89	2012
Analysis of selected evolutionary algorithms in feature selection and parameter optimization for data based tumor marker modeling	7	0.49	2011
Macro-economic time series modeling and interaction networks	3	0.52	2011
Improving the parsimony of regression models for an enhanced genetic programming process	0	0.34	2011
Application of symbolic regression on blast furnace and temper mill datasets	3	1.07	2011
Overfitting detection and adaptive covariant parsimony pressure for symbolic regression	1	0.34	2011
Improved homology-driven computational validation of protein-protein interactions motivated by the evolutionary gene duplication and divergence hypothesis.	16	0.40	2009