Gabriel Kronberger - Citazioni di Google Scholar

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Michael AffenzellerProfessor, University of Applied Sciences Upper AustriaEmail verificata su fh-hagenberg.at
Stephan WinklerUniversity of Applied Sciences Upper Austria, Bioinformatics, Heuristic and Evolutionary AlgorithmsEmail verificata su fh-hagenberg.at
Michael KommendaHeuristic and Evolutionary Algorithms Laboratory, University of Applied Sciences Upper AustriaEmail verificata su fh-hagenberg.at
Stefan WagnerProfessor, University of Applied Sciences Upper AustriaEmail verificata su fh-hagenberg.at
Andreas BehamUniversity of Applied Sciences Upper AustriaEmail verificata su fh-hagenberg.at
Bogdan BurlacuTeaching and Research Associate, University of Applied Sciences Upper AustriaEmail verificata su fh-hagenberg.at
Erik PitzerProfessor for Data Engineering, University of Applied Sciences Upper AustriaEmail verificata su fh-hagenberg.at
Monika KoflerFormer researcher at the University of Applied Sciences Upper AustriaEmail verificata su fh-hagenberg.at
Viktoria DorferUniversity of Applied Sciences Upper AustriaEmail verificata su fh-hagenberg.at
James McDermottLecturer in National University of Ireland, GalwayEmail verificata su nuigalway.ie
Luca ManzoniDipartimento di Matematica e Geoscienze, Università degli Studi di TriesteEmail verificata su units.it
Wojciech JaśkowskiNNAISENSEEmail verificata su nnaisense.com
Sean LukeDepartment of Computer Science, George Mason UniversityEmail verificata su cs.gmu.edu
Mauro CastelliNOVA IMS, Universidade Nova de LisboaEmail verificata su novaims.unl.pt
Una-May O'ReillyAny Scale Learning for All (ALFA) Group, CSAIL, MITEmail verificata su csail.mit.edu
David R WhiteEPSRC Research Associate, Department of Computer Science, University of SheffieldEmail verificata su sheffield.ac.uk
Roland BrauneUniversity of ViennaEmail verificata su univie.ac.at
Brian W. GoldmanGoogleEmail verificata su google.com
José Manuel ColmenarUniversidad Rey Juan CarlosEmail verificata su urjc.es
Jose Ignacio HIDALGOProfessor of Computer Science, Universidad Complutense de MadridEmail verificata su dacya.ucm.es

Gabriel Kronberger

University of Applied Sciences Upper Austria

Email verificata su fh-hagenberg.at - Home page

Data Mining Machine Learning Symbolic Regression


Titolo	Citata da	Anno
Better GP benchmarks: community survey results and proposals DR White, J Mcdermott, M Castelli, L Manzoni, BW Goldman, ... Genetic Programming and Evolvable Machines 14 (1), 3-29, 2013	152	2013
Architecture and design of the heuristiclab optimization environment S Wagner, G Kronberger, A Beham, M Kommenda, A Scheibenpflug, ... Advanced methods and applications in computational intelligence, 197-261, 2014	76	2014
Effects of constant optimization by nonlinear least squares minimization in symbolic regression M Kommenda, G Kronberger, S Winkler, M Affenzeller, S Wagner Proceedings of the 15th annual conference companion on Genetic and …, 2013	41	2013
Benefits of plugin-based heuristic optimization software systems S Wagner, S Winkler, E Pitzer, G Kronberger, A Beham, R Braune, ... International Conference on Computer Aided Systems Theory, 747-754, 2007	39	2007
Using FE calculations and data-based system identification techniques to model the nonlinear behavior of PMSMs G Bramerdorfer, SM Winkler, M Kommenda, G Weidenholzer, S Silber, ... IEEE Transactions on Industrial Electronics 61 (11), 6454-6462, 2014	34	2014
Advanced Methods and Applications in Computational Intelligence, volume 6 of Topics in Intelligent Engineering and Informatics, chapter Architecture and Design of the … S Wagner, G Kronberger, A Beham, M Kommenda, A Scheibenpflug, ... Springer, 2014	29	2014
Macro-economic time series modeling and interaction networks G Kronberger, S Fink, M Kommenda, M Affenzeller European Conference on the Applications of Evolutionary Computation, 101-110, 2011	29	2011
Combining Data Mining and Ontology Engineering to enrich Ontologies and Linked Data M d’Aquin, G Kronberger, MC Suárez-Figueroa First International Workshop on Knowledge Discovery and Data Mining Meets …, 0	24*
Gaining deeper insights in symbolic regression M Affenzeller, SM Winkler, G Kronberger, M Kommenda, B Burlacu, ... Genetic Programming Theory and Practice XI, 175-190, 2014	23	2014
Parameter meta-optimization of metaheuristic optimization algorithms C Neumüller, S Wagner, G Kronberger, M Affenzeller International Conference on Computer Aided Systems Theory, 367-374, 2011	20	2011
Data based prediction of blood glucose concentrations using evolutionary methods JI Hidalgo, JM Colmenar, G Kronberger, SM Winkler, O Garnica, ... Journal of medical systems 41 (9), 142, 2017	17	2017
Visualization of genetic lineages and inheritance information in genetic programming B Burlacu, M Affenzeller, M Kommenda, S Winkler, G Kronberger Proceedings of the 15th annual conference companion on Genetic and …, 2013	17	2013
HeuristicLab 3.3: A unified approach to metaheuristic optimization S Wagner, A Beham, G Kronberger, M Kommenda, E Pitzer, M Kofler, ... Actas del séptimo congreso español sobre Metaheurísticas, Algoritmos …, 2010	17	2010
Modeling of heuristic optimization algorithms S Wagner, G Kronberger, A Beham, S Winkler, M Affenzeller, A Bruzzone, ... Proceedings of the 20th European Modeling and Simulation Symposium, 106-111, 2008	17	2008
On the architecture and implementation of tree-based genetic programming in HeuristicLab M Kommenda, G Kronberger, S Wagner, S Winkler, M Affenzeller Proceedings of the 14th annual conference companion on Genetic and …, 2012	13	2012
Evolving simple symbolic regression models by multi-objective genetic programming M Kommenda, G Kronberger, M Affenzeller, SM Winkler, B Burlacu Genetic Programming Theory and Practice XIII, 1-19, 2016	11	2016
Model driven rapid prototyping of heuristic optimization algorithms S Wagner, G Kronberger, A Beham, S Winkler, M Affenzeller International Conference on Computer Aided Systems Theory, 729-736, 2009	11	2009
Evolution of covariance functions for gaussian process regression using genetic programming G Kronberger, M Kommenda International Conference on Computer Aided Systems Theory, 308-315, 2013	10	2013
Analysis of selected evolutionary algorithms in feature selection and parameter optimization for data based tumor marker modeling SM Winkler, M Affenzeller, G Kronberger, M Kommenda, S Wagner, ... International Conference on Computer Aided Systems Theory, 335-342, 2011	10	2011
Metaheuristic optimization M Affenzeller, A Beham, M Kofler, G Kronberger, SA Wagner, S Winkler Hagenberg Research, 103-155, 2009	10	2009

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