Institute of Data Analysis and Process Design (IDP)
We create value from data
We use advanced data-based methods to create innovative solutions for business and industry. We address real-life challenges with scientific methods and a strong commitment to practicability. We are the leading educator and partner of choice for applied data science and business engineering in Switzerland.
Research Groups
Advanced scientific tools for solutions in the financial industry
Health and Envrionmental Analytics
Health and Environmental Analytics
Analyzing data to derive interpretable results using statistical and machine learning techniques
Maintenance, Mobility, AI & Society
Leverage AI and advanced modeling for innovations in predictive maintenance, mobility solutions, and socially aligned systems
Generating insights, creating value and fostering innovation in business processes and services
Visual Intelligence and Applications
As visual data becomes one of the most abundant and complex sources of information, Visual Intelligence is a key pillar of modern data science — enabling new ways to analyze, model, and communicate through images, video, and immersive environments
For Students
Consulting Services
News
Team IDP
Publikationen
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Hadji Misheva, Branka; Jaggi, David; Posth, Jan-Alexander; Gramespacher, Thomas; Osterrieder, Joerg,
2021.
Audience-dependent explanations for AI-based risk management tools : a survey.
Frontiers in Artificial Intelligence.
4(794996).
Available from: https://doi.org/10.3389/frai.2021.794996
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Schlögl, Sebastian; Bader, Nico; Anet, Julien Gérard; Frey, Martin; Spirig, Curdin; Renold, Manuel; Gutbrod, Karl,
2021.
In:
EGU General Assembly 2021, Online, 19-30 April 2021.
European Geosciences Union.
Available from: https://doi.org/10.5194/egusphere-egu21-14143
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Anet, Julien G.; Schlögl, Sebastian; Spirig, Curdin; Frey, Martin P.; Renold, Manuel; Gutbrod, Karl G.,
2021.
Building a new high-density air temperature measurement network in two Swiss cities[poster].
In:
EGU General Assembly 2021, Online, 19-30 April 2021.
European Geosciences Union.
Available from: https://doi.org/10.5194/egusphere-egu21-9102
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Templ, Matthias,
2021.
Can we ignore the compositional nature of compositional data by using deep learning aproaches?[paper].
In:
Perna, Cirna; Salvati, Nicola; Schirripa Spagnolo, Francesco, eds.,
Book of Short Papers SIS 2021.
Surface Inspection Summit Europe, Aachen, Germany, 9-10 November 2021.
London:
Pearson.
pp. 243-248.
Available from: https://it.pearson.com/content/dam/region-core/italy/pearson-italy/pdf/Docenti/Universit%C3%A0/pearson-sis-book-2021-parte-1.pdf
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Templ, Barbara; Templ, Matthias; Barbieri, Roberto; Meier, Michael; Zufferey, Vivan,
2021.
Coincidence of temperature extremes and phenological events of grapevines.
Oeno One.
55(1), pp. 367-383.
Available from: https://doi.org/10.20870/oeno-one.2021.55.1.3187