FH-Prof. DI Dr. FH-Prof. DI Dr. Gabriel Kronberger
Lernen ist die Anpassung des eigenen Verhaltens durch Erfahrungen

Fachbereiche

  • Data Engineering
  • Business Intelligence
  • Data Mining
  • Predictive Analytics
  • Heuristische Optimierung und evolutionäre Algorithmen
  • Software Engineering


Ausbildungen im Fachbereich

  • Diplomstudium Informatik
  • Doktoratsstudium der technischen Wissenschaften, JKU, Linz

Trainings- & Berufserfahrung

  • seit 2011: Professor an der FH OÖ, Fakultät für Informatik, Kommunikation, Medien am Campus Hagenberg
  • seit 2013: Lektor für Data Warehousing am MCI Innsbruck
  • 2005 – 2011: Wissenschaftlicher Mitarbeiter, FH OÖ Forschungs und Entwicklungs GmbH

Publikationen (Auszug)

  • K. Kronberger, M. Kommenda - Search Strategies for Grammatical Optimization Problems – Alternatives to Grammar-Guided Genetic Programming in Computational Intelligence and Efficiency in Engineering Systems (Contributions to Book: Part/Chapter/Section 7), (Editors: G. Borowik, Z. Chaczko, L.G. Ford, W. Jacak, T. Luba) - Springer, 2015, pp. 89-102
  • Kommenda, A. Beham, M. Affenzeller, G. K. Kronberger - Complexity Measures for Multi-Objective Symbolic Regression - Proceedings of the International Conference on Computer Aided Systems Theory (EUROCAST 2015), Las Palmas, Gran Canaria, Spanien, 2015
  • Kommenda, M. Affenzeller, G. K. Kronberger, B. Burlacu, S. M. Winkler - Multi-Population Genetic Programming with Data Migration for Symbolic Regression in Computational Intelligence and Efficiency in Engineering Systems (Contributions to Book: Part/Chapter/Section 6), (Editors: G. Borowik, Z. Chaczko, L.G. Ford, W. Jacak, T. Luba) - Springer, 2015, pp. 75-87
  • Kommenda, M. Affenzeller, B. Burlacu, G. K. Kronberger, S. M. Winkler - Genetic Programming with Data Migration for Symbolic Regression - Companion Publication of the 2014 Genetic and Evolutionary Computation Conference, GECCO'14 Companion, Vancouver, Kanada, 2014, pp. 1361-1366
  • Affenzeller, S. M. Winkler, G. K. Kronberger, M. Kommenda, B. Burlacu, S. Wagner - Gaining Deeper Insights in Symbolic Regression in Genetic Programming Theory and Practice XI (Contributions to Book: Part/Chapter/Section 10), (Editors: Rick Riolo, Jason H. Moore, Mark Kotanchek) - Springer, 2014, pp. 175-190
  • K. Kronberger, M. Kommenda, S. Wagner, H. Dobler - GPDL: A Framework-Independent Problem Definition Language for Grammar Guided Genetic Programming - Companion Publication of the 2013 Genetic and Evolutionary Computation Conference, GECCO'13 Companion, Amsterdam, Niederlande, 2013, pp. 1333-1340
  • White, J. McDermott, M. Castelli, L. Manzoni, B. Goldman, G. K. Kronberger, W. Jaskowski, U. O'Reilly, S. Luke - Better GP Benchmarks: Community Survey Results and Proposals - Genetic Programming and Evolvable Machines, Vol. 14, No. 1, 2013, pp. 3-29
  • K. Kronberger, M. Kommenda - Evolution of Covariance Functions for Gaussian Process Regression using Genetic Programming - Proceedings of the 14th International Conference on Computer Aided Systems Theory (EUROCAST 2013), Las Palmas de Gran Canaria, Spanien, 2013, pp. 308-315
  • K. Kronberger, M. Affenzeller, S. Fink - Genetic programming: Current trends and applications in computational finance in Recent advances in computational finance (Contributions to Book: Part/Chapter/Section 6), (Editors: N. S. Thomaidis, G. H. Dash) - Nova Science Publishers, Inc., 2013, pp. 99-115
  • K. Kronberger, C. Feilmayr, M. Kommenda, S. M. Winkler, M. Affenzeller, T. Bürgler - System Identification of Blast Furnace Processes with Genetic Programming - Proceedings of the IEEE 2nd International Symposium on Logistics and Industrial Informatics (Lindi 2009), Linz, Österreich, 2009, pp. 63-68