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Cornelia Ferner

Titel/Grad: DI

Funktion: Lecturer

Kompetenzbereiche:
  • Machine Learning
  • Data Science
  • Natural Language Processing
Ausgewählte Publikationen:
  • C. Ferner and S. Wegenkittl, "A Semi-discriminative Approach for Sub-sentence Level Topic Classification on a Small Dataset,” in Machine Learning and Knowledge Discovery in Databases, Springer International Publishing, 2020.
  • C. Ferner, G. Eibl, A. Unterweger, S.Burkhart and S. Wegenkittl, "Pool Detection from Smart Metering Data with Convolutional Neural Networks,” Energy Informatics, 2019.
  • V. Azerova, D. Engel, C. Ferner, A. Kollmann, and J. Reichl, "Transition to peak-load-based tariffs can be disruptive for different groups of consumers,” Nature Energy, 2019.
  • M. Schnöll, C. Ferner, and S. Wegenkittl, "The Effectiveness of the Max Entropy Classifier for Feature Selection,” Data Science - Analytics and Applications, Springer Fachmedien Wiesbaden, 2019.
  • V. Azarova, D. Engel, C. Ferner, A. Kollmann, and J. Reichl, "Exploring the Impact of Network Tariffs on Household Electricity Expenditures Using Load Profiles and Socio-economic Characteristics,” Nature Energy, 2018.
  • J. Reichl, V. Azarova, D. Engel, C. Ferner, and A. Kollmann, "Network Tariff Challenge: Who Pays the Piper?," in Meeting the Energy Demands of Emerging Economics, 40th IAEE International Conference, 2017.
  • C. Ferner, M. Schnöll, V. Haaf, W. Pomwenger, A. Keller, and S. Wegenkittl, "Information Extraction Engine for Sentiment-Topic Matching in Product Intelligence Applications," Data Science - Analytics and Applications, Springer Vieweg, Wiesbaden, 2017.
  • G. Eibl, C. Ferner, T. Hildebrandt, F. Stertz, S. Burkhard, S. Rinderle-Ma, and D. Engel, "Exploration of the Potential of Process Mining for Intrusion Detection in Smart Metering," in 3rd International Conference on Information Systems Security and Privacy, 2017.
  • C. Ferner, G. Wagner, and H. Choset. "ODrM* Optimal Multirobot Path Planning in Low Dimensional Search Spaces." in Robotics and Automation (ICRA), 2013 IEEE International Conference on. IEEE, 2013.
  • C. Ferner, "OD-M*: Path Planning in Multirobot Systems", Master thesis, Fachhochschule Salzburg, Studiengang Informationstechnik und Systemmanagement, 2012.
Kontaktdaten:

fon:  +43 (0)50-2211-1329
fax: +43 (0)50-2211-1349
email: cornelia.ferner@fh-salzburg.ac.at

Cornelia Ferner

Cornelia Ferner (Foto: FH Salzburg)