Dr. Martin Frey

Projects

• Measuring Exposure to Bicycle Traffic / Project leader / ongoing
• My digital twin is revealing the biomechanics of safe and efficient strength training / Team member / ongoing
• AI-powered Detection of Parking Damages Based on Acceleration Sensor Data / Project leader / completed
• Comparison of Sampling Strategies for Dynamically Introduced Substances in Surface Waters / Project leader / completed
• Pre-Interventional Preventive Risk Assessment / Project leader / completed
• Machine Learning-Aided Startup Investing / Deputy project leader / completed
• Artificial Intelligence to improve venture capital decision making / Team member / completed
• Self-Regulated Corrective Actions on GFRP Production Process / Team member / completed
• Tools for statistical Analysis of Accident Occurrences / Project leader / completed
• Development of Algorithms for the Analysis of Football Players and Game Situations based on Motion Data / Project leader / completed
• Virtual Coaching for motorcycling sports / Project leader / completed
• Statistical Analysis of Accident Occurrences / Project leader / completed
• Measures and potentials in the field of road users / Project leader / completed

Publications

Articles in scientific journal, peer-reviewed

• Te, Y.-F., Wieland, M., Frey, M., Pyatigorskaya, A., Schiffer, P., & Grabner, H. (2023). Making it into a successful series a funding : an analysis of Crunchbase and LinkedIn data. The Journal of Finance and Data Science, 9(100099). https://doi.org/10.1016/j.jfds.2023.100099
• Ackermann, K. A., Burkhalter, L., Mildenberger, T., Frey, M., & Bearth, A. (2021). Willingness to share data : contextual determinants of consumers’ decisions to share private data with companies. Journal of Consumer Behaviour, 21(2), 375–386. https://doi.org/10.1002/cb.2012
• Chiaia-Hernández, A. C., Günthardt, B. F., Frey, M., & Hollender, J. (2017). Unravelling contaminants in the anthropocene using statistical analysis of liquid chromatography–high-resolution mass spectrometry nontarget screening data recorded in lake sediments. Environmental Science & Technology, 51(21), 12547–12556. https://doi.org/10.1021/acs.est.7b03357
• Möst, M., Chiaia-Hernandez, A. C., Frey, M. P., Hollender, J., & Spaak, P. (2015). A mixture of environmental organic contaminants in lake sediments affects hatching from Daphniaresting eggs. Environmental Toxicology and Chemistry, 34(2), 338–345. https://doi.org/10.1002/etc.2808
• Schumacher, E., Blatter, F., Frey, M., Heiz, U., Röthlisberger, U., Schär, M., Vayloyan, A., & Yeretzian, C. (1988). Metal clusters : between atom and bulk. Chimia, 42(11), 357.

Written conference contributions, peer-reviewed

• Te, Y.-F., Wieland, M., Frey, M., & Grabner, H. (2023). Mitigating discriminatory biases in success prediction models for venture capitals [Conference paper]. 2023 10th IEEE Swiss Conference on Data Science (SDS), 26–33. https://doi.org/10.1109/SDS57534.2023.00011
• Dettling, M., Frey, M., Walser, M., & Haas, P. (2021). Impact of mislabelling on deep learning methods and strategies for improvement. Conference Proceedings of the 63rd ISI World Statistics Congress.
• Frey, M., Murina, E., Rohrbach, J., Walser, M., Haas, P., & Dettling, M. (2019). Machine learning for position detection in football [Conference paper]. 2019 6th Swiss Conference on Data Science (SDS), 111–112. https://doi.org/10.1109/SDS.2019.00009

Other publications

• Anet, J. G., Schlögl, S., Spirig, C., Frey, M. P., Renold, M., & Gutbrod, K. G. (2021). Building a new high-density air temperature measurement network in two Swiss cities. EGU General Assembly 2021, Online, 19-30 April 2021. https://doi.org/10.5194/egusphere-egu21-9102
• Schlögl, S., Bader, N., Anet, J. G., Frey, M., Spirig, C., Renold, M., & Gutbrod, K. (2021). Automated detection of urban heat islands based on satellite imagery, digital surface models, and a low-cost sensor network. EGU General Assembly 2021, Online, 19-30 April 2021. https://doi.org/10.5194/egusphere-egu21-14143
• Deublein, M., Hafsteinsson, H., Frey, M., Dettling, M., Meier, L., & Kalisch, M. (2018). Statistische Analyse von Unfallzahlen. Bundesamt für Strassen. https://www.astra.admin.ch/dam/astra/de/bilder/Abteilung_Strassenverkehr_allgemein/2018-07-31_VSS1634_Schlussbericht_Statistische_Analyse_von_Unfallzahlen.pdf
• Ohnmacht, T., Lutzenberger, M., Schad, H., Frey, M., Ruckstuhl, A., Dettling, M., & Rößger, L. (2016). Forschungspaket VeSPA Teilprojekt 1-M, Massnahmen und Potenziale im Bereich Verkehrsteilnehmende (Hochschule Luzern - Wirtschaft & Schweizerischen Vereinigung der Verkehrsingenieure und Verkehrsexperten (SVI), eds.). Bundesamt für Strassen.
• Ohnmacht, T., Mahrer, M., Frey, M., Ruckstuhl, A., Dettling, M., Rößger, L., & Schade, H. (2016). Massnahmen und Potenziale im Bereich Verkehrsteilnehmende : Forschungspaket VeSPA Teilprojekt 1-M (V. E. u. K. U. Eidgenössisches Departement für Umwelt & Bundesamt für Strassen, eds.). Schweizerischer Verband der Strassen- und Verkehrsfachleute (VSS).
• Ohnmacht, T., Lutzenberger, M., Schad, H., Frey, M., Ruckstuhl, A., Dettling, M., Rößger, L., & Schade, J. (2014). Einflüsse von Mensch und Gesellschaft auf das Strassenunfallgeschehen : Phase 1: Vol. Digital Mobility. Schweizerischen Vereinigung der Verkehrsingenieure und Verkehrsexperten (SVI).

Oral conference contributions and abstracts

Dettling, M., Walser, M., & Frey, M. (2021, July 13). Impact of mislabelling on deep learning. 63rd ISI World Statistics Congress, Virtual, 11-16 July 2021.

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