Dr. Martin Frey

Projects

• AI-powered Detection of Parking Damages Based on Acceleration Sensor Data / Project leader / completed
• Measuring Exposure to Bicycle Traffic / 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
• My digital twin is revealing the biomechanics of safe and efficient strength training / Team member / 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. et al. (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). doi: 10.1016/j.jfds.2023.100099.
• Ackermann, K. A. et al. (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. doi: 10.1002/cb.2012.
• Chiaia-Hernández, A. C. et al. (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), pp. 12547–12556. doi: 10.1021/acs.est.7b03357.
• Möst, M. et al. (2015) 'A mixture of environmental organic contaminants in lake sediments affects hatching from Daphniaresting eggs', Environmental Toxicology and Chemistry, 34(2), pp. 338–345. doi: 10.1002/etc.2808.
• Schumacher, E. et al. (1988) 'Metal clusters : between atom and bulk', Chimia, 42(11), p. 357.

Written conference contributions, peer-reviewed

• Te, Y.-F. et al. (2023) 'Mitigating discriminatory biases in success prediction models for venture capitals', in 2023 10th IEEE Swiss Conference on Data Science (SDS). IEEE, pp. 26–33. doi: 10.1109/SDS57534.2023.00011.
• Dettling, M. et al. (2021) 'Impact of mislabelling on deep learning methods and strategies for improvement', in Conference Proceedings of the 63rd ISI World Statistics Congress.
• Frey, M. et al. (2019) 'Machine learning for position detection in football', in 2019 6th Swiss Conference on Data Science (SDS). IEEE, pp. 111–112. doi: 10.1109/SDS.2019.00009.

Other publications

• Schlögl, S. et al. (2021) 'Automated detection of urban heat islands based on satellite imagery, digital surface models, and a low-cost sensor network', in EGU General Assembly 2021, Online, 19-30 April 2021. European Geosciences Union. doi: 10.5194/egusphere-egu21-14143.
• Anet, J. G. et al. (2021) 'Building a new high-density air temperature measurement network in two Swiss cities', in EGU General Assembly 2021, Online, 19-30 April 2021. European Geosciences Union. doi: 10.5194/egusphere-egu21-9102.
• Deublein, M. et al. (2018) Statistische Analyse von Unfallzahlen. Bern: Bundesamt für Strassen. Available at: https://www.astra.admin.ch/dam/astra/de/bilder/Abteilung_Strassenverkehr_allgemein/2018-07-31_VSS1634_Schlussbericht_Statistische_Analyse_von_Unfallzahlen.pdf.
• Ohnmacht, T. et al. (2016) Forschungspaket VeSPA Teilprojekt 1-M, Massnahmen und Potenziale im Bereich Verkehrsteilnehmende. Edited by Hochschule Luzern - Wirtschaft and Schweizerischen Vereinigung der Verkehrsingenieure und Verkehrsexperten (SVI). Bern: Bundesamt für Strassen.
• Ohnmacht, T. et al. (2016) Massnahmen und Potenziale im Bereich Verkehrsteilnehmende : Forschungspaket VeSPA Teilprojekt 1-M. Edited by V. E. u. K. U. Eidgenössisches Departement für Umwelt and Bundesamt für Strassen. Zürich: Schweizerischer Verband der Strassen- und Verkehrsfachleute.
• Ohnmacht, T. et al. (2014) Einflüsse von Mensch und Gesellschaft auf das Strassenunfallgeschehen : Phase 1. St.Gallen: Schweizerischen Vereinigung der Verkehrsingenieure und Verkehrsexperten (SVI).

Oral conference contributions and abstracts

Dettling, M., Walser, M. and Frey, M. (2021) 'Impact of mislabelling on deep learning', in 63rd ISI World Statistics Congress, virtual, 11-16 July 2021.

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