---

Dipl.-Inform. Martina Friese

Cologne University of Applied Sciences - Campus Gummersbach
Faculty for Computer Science and Engineering
Institute of Computer Science

Room 1.102
Steinmüllerallee 1
51643 Gummersbach
martina.friese at fh-koeln.de
www.gociop.de  /  www.spotseven.de

Curriculum Vitae:

Martina studied Computer Science at the University of Dortmund. Her main research interests are in the fields of Computational Intelligence and Data Mining. Martina is currently working on ensemble based response surface modeling for sequential parameter optimization and time series prediction.
Since December 2010 she is scientific researcher at the Cologne University of Applied Sciences as co-worker of Prof. Dr. Bartz-Beielstein at the Research Center CIOP. Additionaly, she is PhD student at the Leiden Institute of Advanced Computer Science in the Natural Computing Group headed by Prof. Dr. Thomas Bäck.

News

currentgame.de:Verbesserte Verfahren zur Prognose des Energieverbrauchs
koelncampus.com:Doktorand hat neues System zur möglichst genauen Vorhersage für Stromverbrauch entwickelt
smartmeter.de:Vorhersage für den Stromverbrauch auf Basis intelligenter Zähler
CleanThinking: Verbesserte Verfahren zur Prognose des Energieverbrauchs
Kölner Stadtanzeiger: Was der Bäcker gerne wüßte
FH Köln: Stephan Hutterer gewinnt Wettbewerb zur Stromverbrauchs-Prognose
Oberberg Aktuell: Internationale „Datendetektive“ auf die Probe gestellt

Publications

• [Zaef12b (2012)] bibtex
  T. Zaefferer M.and Bartz-Beielstein, M. Friese, B. Naujoks, and O. Flasch, "MSPOT: Multi-Criteria Sequential Optimization," CIplus, TR 2/2012, 2012.
  @TECHREPORT{Zaef12b,
  author = {Zaefferer, M.and Bartz-Beielstein, T. and Friese, M. and Naujoks, B. and Flasch, O.},
  title = {MSPOT: Multi-Criteria Sequential Optimization},
  institution = {{CI}plus},
  year = {2012},
  number = {TR 2/2012},
  month = {January},
  keywords = {FiwaSoma, bartz, publi},
  owner = {bartz},
  timestamp = {2012.05.26}
}
• [Frie12a (2012)] bibtex
  M. Friese, T. Bartz-Beielstein, K. Vladislavleva, O. Flasch, O. Mersmann, B. Naujoks, J. Stork, and M. Zaefferer, "Ensemble-Based Model Selection for Smart Metering Data (Abstract)," CIplus2012.
  @TECHREPORT{Frie12a,
  author = {Martina Friese and Thomas Bartz-Beielstein and Katya Vladislavleva and Oliver Flasch and Olaf Mersmann and Boris Naujoks and J{\"o}rg Stork and Martin Zaefferer},
  title = {Ensemble-Based Model Selection for Smart Metering Data (Abstract)},
  institution = {{CI}plus},
  year = {2012},
  date-added = {2012-09-08 07:20:42 +0000},
  date-modified = {2012-09-08 07:20:42 +0000},
  keywords = {bartz, FiwaSoma, public},
  owner = {J�rg},
  timestamp = {2012.09.11}
}
• [Bart12d (2012)] bibtex
  T. Bartz-Beielstein, M. Friese, B. Naujoks, and M. Zaefferer, "SPOT Applied to Non-Stochastic Optimization Problems—An Experimental Study," in GECCO 2012 Late breaking abstracts workshop, Philadelphia, Pennsylvania, USA, 2012, pp. 645-646.
  @INPROCEEDINGS{Bart12d,
  author = {Thomas Bartz-Beielstein and Martina Friese and Boris Naujoks and Martin Zaefferer},
  title = {{SPOT} Applied to Non-Stochastic Optimization Problems---An Experimental Study},
  booktitle = {GECCO 2012 Late breaking abstracts workshop},
  year = {2012},
  editor = {Katya Rodriguez and Christian Blum},
  pages = {645--646},
  address = {Philadelphia, Pennsylvania, USA},
  month = {July},
  publisher = {ACM},
  bdsk-url-1 = {http://dx.doi.org/10.1145/2330784.2330901},
  doi = {doi:10.1145/2330784.2330901},
  isbn = {978-1-4503-1178-6},
  keywords = {FiwaSoma, bartz, public},
  notes = {Also known as \cite{2330901} Distributed at GECCO-2012. ACM Order Number 910122.},
  organisation = {SIGEVO},
  owner = {bartz},
  publisher_address = {New York, NY, USA},
  timestamp = {2012.05.26}
}
• [Zaef12a (2012)] bibtex
  M. Zaefferer, T. Bartz-Beielstein, M. Friese, B. Naujoks, and O. Flasch, "Multi-Criteria Optimization for Hard Problems under Limited Budgets," in GECCO Companion ’12: Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion, Philadelphia, Pennsylvania, USA, 2012, pp. 1451-1452.
  @INPROCEEDINGS{Zaef12a,
  author = {Martin Zaefferer and Thomas Bartz-Beielstein and Martina Friese and Boris Naujoks and Oliver Flasch},
  title = {Multi-Criteria Optimization for Hard Problems under Limited Budgets},
  booktitle = {GECCO Companion '12: Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion},
  year = {2012},
  editor = {Terry Soule and Anne Auger and Jason Moore and David Pelta and Christine Solnon and Mike Preuss and Alan Dorin and Yew-Soon Ong and Christian Blum and Dario Landa Silva and Frank Neumann and Tina Yu and Aniko Ekart and Wil Browne and Tim Kovacs and Man-Leung Wong and Clara Pizzuti and Jon Rowe and Tobias Friedrich and Giovanni Squillero and Nicolas Bredeche and Stephen Smith and Alison Motsinger-Rei and Jose Lozano and Martin Pelikan and Silja Meyer-Nienber and Christian Igel and Greg Hornby and Rene Doursat and Steve Gustafson and Gustavo Olague and Shin Yoo and John Clark and Gabriela Ochoa and Gisele Pappa and Fernando Lobo and Daniel Tauritz and Jurgen Branke and Kalyanmoy Deb},
  pages = {1451--1452},
  address = {Philadelphia, Pennsylvania, USA},
  month = {July},
  publisher = {ACM},
  abstract = {Many relevant industrial optimization tasks feature more than just one quality criterion. State-of-the-art multi-criteria optimization algorithms require a relatively large number of function evaluations (usually more than 10^5) to approximate Pareto fronts. Due to high cost or time consumption this large amount of function evaluations is not always available. Therefore, it is obvious to combine techniques such as Sequential Parameter Optimization (SPO), which need a very small number of function evaluations only, with techniques from evolutionary multi-criteria optimization (EMO). In this paper, we show how EMO techniques can be efficiently integrated into the framework of the SPO Toolbox (SPOT). We discuss advantages of this approach in comparison to state-of-the-art optimizers. Moreover, with the resulting capability to allow competing objectives, the opportunity arises to not only aim for the best, but also for the most robust solution. Herein we present an approach to optimize not only the quality of the solution, but also its robustness, taking these two goals as objectives for multi-criteria optimization into account.},
  bdsk-url-1 = {http://dx.doi.org/10.1145/2330784.2330984},
  doi = {doi:10.1145/2330784.2330984},
  isbn = {978-1-4503-1178-6},
  keywords = {FiwaSoma, bartz, public},
  notes = {Also known as \cite{2330984} Distributed at GECCO-2012. ACM Order Number 910122.},
  organisation = {SIGEVO},
  owner = {bartz},
  publisher_address = {New York, NY, USA},
  timestamp = {2012.05.26}
}
• [Frie11a (2011)] bibtex
  M. Friese, M. Zaefferer, T. Bartz-Beielstein, O. Flasch, P. Koch, W. Konen, and B. Naujoks, "Ensemble Based Optimization and Tuning Algorithms," in Proceedings 21. Workshop Computational Intelligence, 2011, pp. 119-134.
  @INPROCEEDINGS{Frie11a,
  author = {Martina Friese and Martin Zaefferer and Thomas Bartz-Beielstein and Oliver Flasch and Patrick Koch and Wolfgang Konen and Boris Naujoks},
  title = {Ensemble Based Optimization and Tuning Algorithms},
  booktitle = {Proceedings 21. Workshop Computational Intelligence},
  year = {2011},
  editor = {F. Hoffmann and E. H{\"u}llermeier},
  pages = {119--134},
  publisher = {Universit{\"a}tsverlag Karlsruhe},
  keywords = {FiwaSoma, bartz, public},
  owner = {thomasbartz-beielstein},
  timestamp = {2011.10.31}
}
• [Bart11b (2011)] bibtex
  T. Bartz-Beielstein, M. Friese, M. Zaefferer, B. Naujoks, O. Flasch, W. Konen, and P. Koch, "Noisy optimization with sequential parameter optimization and optimal computational budget allocation," in Proceedings of the 13th annual conference companion on Genetic and evolutionary computation, New York, NY, USA, 2011, pp. 119-120.
  @INPROCEEDINGS{Bart11b,
  author = {Bartz-Beielstein, Thomas and Friese, Martina and Zaefferer, Martin and Naujoks, Boris and Flasch, Oliver and Konen, Wolfgang and Koch, Patrick},
  title = {Noisy optimization with sequential parameter optimization and optimal computational budget allocation},
  booktitle = {Proceedings of the 13th annual conference companion on Genetic and evolutionary computation},
  year = {2011},
  series = {GECCO '11},
  pages = {119--120},
  address = {New York, NY, USA},
  publisher = {ACM},
  acmid = {2001926},
  bdsk-url-1 = {http://doi.acm.org/10.1145/2001858.2001926},
  bdsk-url-2 = {http://dx.doi.org/10.1145/2001858.2001926},
  doi = {10.1145/2001858.2001926},
  isbn = {978-1-4503-0690-4},
  keywords = {FiwaSoma, public, bartz},
  location = {Dublin, Ireland},
  numpages = {2},
  owner = {wolfgang},
  timestamp = {2011.11.15},
  url = {http://doi.acm.org/10.1145/2001858.2001926}
}
• [Bart11a (2011)] bibtex
  T. Bartz-Beielstein and M. Friese, "Sequential Parameter Optimization and Optimal Computational Budget Allocation for Noisy Optimization Problems," Research Center CIOP (Computational Intelligence, Optimization andData Mining), Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, CIOP Technical Report 02/11, 2011.
  @TECHREPORT{Bart11a,
  author = {Thomas Bartz-Beielstein and Martina Friese},
  title = {Sequential Parameter Optimization and Optimal Computational Budget Allocation for Noisy Optimization Problems},
  institution = {Research Center CIOP (Computational Intelligence, Optimization andData Mining)},
  year = {2011},
  type = {{CIOP} Technical Report},
  number = {02/11},
  address = {Cologne University of Applied Science, Faculty of Computer Science and Engineering Science},
  month = {January},
  bdsk-url-1 = {http://maanvs03.gm.fh-koeln.de/webpub/CIOPReports.d/Bart11a.d/Bart11a.pdf},
  file = {:http\://maanvs03.gm.fh-koeln.de/webpub/CIOPReports.d/Bart11a.d/Bart11a.pdf:PDF},
  issn = {2191-365X},
  keywords = {FiwaSoma, bartz, public},
  owner = {bartz},
  timestamp = {2011.01.13},
  url = {http://maanvs03.gm.fh-koeln.de/webpub/CIOPReports.d/Bart11a.d/Bart11a.pdf}
}