Researcher Data Analysis SystemsTelefon: +43 50 343 862 sabrina.luftensteiner@scch.at Data Science - DAS
S. Luftensteiner, M. Zwick. A framework for factory-frained virtual sensor models based on censored production data. In S. Hartmann, J. Küng, G. Kotsis, A. Tjoa, I. Khalil (editors), DEXA 2020: Database and Expert Systems Applications, Part II, Lecture Notes in Computer Science, volume 12392, pages 3-16, DOI 10.1007/978-3-030-59051-2_1, Springer, September, 2020.
S. Luftensteiner, M. Zwick, G. Chasparis, S. Brayer, T. Grubinger. A framework for improving offline learning models with online data. Technical Report, number SCCH-TR-19021, September, 2019.
S. Luftensteiner. Improving offline deep learning models by censored online data and quadratic programming. Master thesis, FH OÖ, Fachhochschul-Masterstudiengang Software Engineering, July, 2019.
S. Luftensteiner. Design and implementation of a domain specific language for data preprocessing pipelines. Bachelor Thesis, FH OÖ, Fachhochschul-Bachelorstudiengang Medizin- und Bioinformatik, June, 2017.