Dr. Thoralf Mildenberger

Projects

• Sustainable commuting at ZHAW / Team member / abgeschlossen
• Flexible Learning Research / Team member / abgeschlossen
• Detailed meal forecast for the restaurant industry / Team member / abgeschlossen
• Self-Regulated Corrective Actions on GFRP Production Process / Project leader / abgeschlossen
• Prediction of Turnover in Gastronomy / Team member / abgeschlossen
• Accurate Customer Identification on Digital Channels (AC/DC) / Team member / abgeschlossen
• Energy discourses in Switzerland / Team member / abgeschlossen
• Real-time price anomaly detection for market data quality monitoring / Team member / abgeschlossen
• cleverpendeln / Team member / abgeschlossen
• Roche Business Analytics / Team member / abgeschlossen
• A model based three-stage classifier for airborne particles / Team member / abgeschlossen
• Smart City Winterthur: Analysis of Electricity Consumption / Team member / abgeschlossen
• Predicting customer behavior by combining freetext information with structured customer data / Team member / abgeschlossen

Publications

• Mildenberger, Thoralf; Braschler, Martin; Ruckstuhl, Andreas; Vorburger, Robert; Stockinger, Kurt,

  2023.

  The role of data scientists in modern enterprises : experience from data science education.

  SIGMOD Record.

  52(2), pp. 48-52.

  Available from: https://doi.org/10.21256/zhaw-27357

• Müller Werder, Claude; Mildenberger, Thoralf; Steingruber, Daniel,

  2023.

  Learning effectiveness of a flexible learning study programme in a blended learning design : why are some courses more effective than others?.

  International Journal of Educational Technology in Higher Education.

  20(10).

  Available from: https://doi.org/10.1186/s41239-022-00379-x

• Ackermann, Kurt Alexander; Burkhalter, Linda; Mildenberger, Thoralf; Frey, Martin; Bearth, Angela,

  2021.

  Willingness to share data : contextual determinants of consumers' decisions to share private data with companies.

  Journal of Consumer Behaviour.

  21(2), pp. 375-386.

  Available from: https://doi.org/10.1002/cb.2012

• Müller Werder, Claude; Mildenberger, Thoralf,

  2021.

  Facilitating flexible learning by replacing classroom time with an online learning environment : a systematic review of blended learning in higher education.

  Educational Research Review.

  34(100394).

  Available from: https://doi.org/10.1016/j.edurev.2021.100394

• Müller Werder, Claude; Mildenberger, Thoralf; Lübcke, Maren,

  2020.

  Do we always need a difference? : testing equivalence in a blended learning setting.

  International Journal of Research & Method in Education.

  43(3), pp. 283-295.

  Available from: https://doi.org/10.1080/1743727X.2019.1680621

• Meier, Mario Federico; Mildenberger, Thoralf; Locher, René; Rausch, Juanita; Zünd, Thomas; Neururer, Christoph; Ruckstuhl, Andreas; Grobéty, Bernard,

  2018.

  A model based two-stage classifier for airborne particles analyzed with computer controlled scanning electron microscopy.

  Journal of Aerosol Science.

  123, pp. 1-16.

  Available from: https://doi.org/10.1016/j.jaerosci.2018.05.012

• Carabias-Hütter, Vicente; Eschenauer, Ursula; Kuehn, Tobias; Lobsiger-Kägi, Evelyn; Mildenberger, Thoralf,

  2016.

  Die Energienachfrage steuern : Handlungsempfehlungen zur Nutzung von Smart-Meter-Daten.

  Gaia.

  25(3), pp. 217-219.

  Available from: https://doi.org/10.14512/gaia.25.3.20

• Mildenberger, Thoralf,

  2023.

  Assessing keyness using permutation tests.

  arXiv.

  Available from: https://doi.org/10.48550/arXiv.2308.13383

• Müller Werder, Claude; Mildenberger, Thoralf; Steingruber, Daniel,

  2023.

  Blended learning quality as crucial factor for an effective flexible learning study program [paper].

  In:

  EARLI Conference 2023 "Education as a Hope in Uncertain Times", Aristotle University of Thessaloniki and University of Macedonia, Greece, 20-26 August 2023.

• Mildenberger, Thoralf,

  2017.

  Assessing keyness using permutation tests [paper].

  In:

  Statistical standards for scientific discovery in linguistics, Zurich, 4–6 October 2017.

• Mildenberger, Thoralf,

  2013.

  Simon Rogers and Mark Girolami: A first course in machine learning

  [review of Rogers, Simon; Girolami, Mark: A first course in machine learning. Boca Raton : CRC Press, 2012. ISBN 978-143982414-6].

  Statistical Papers.

  56(1), pp. 271.

  Available from: https://doi.org/10.1007/s00362-013-0577-z

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