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Martin G. Möhrle, Nils Denter and Eliza Stenzhorn. By conducting unsupervised and supervised machine learning in form of topic modeling and deep neural networks, the authors are able to distinguish standar
Section: FB7
working group: Jessica Birkholz presented on "Do not judge a business idea by its cover: a machine learning approach to retrieve the impact of innovative and non-innovative business idea content on their
beginning of the year. Nevertheless, we achieved a lot together in an extraordinary year and, above all, learned to be flexible and to improvise. We look back: Start of the H2B project + Co-organization of the
framework, various data sets are examined with multivariate statistical methods and with machine learning approaches. The project, funded by the BMBF for three and a half years, is coordinated by the Department
Smulders. Ann Hipp and Mariia Shkolnykova received funding from BYRD for the postdoctoral network "Learning (from) Transformation". The highlight of the year has been the election of Jutta Günther as Rector
n (Erasmus University Rotterdam) provided fascinating key note speeches. As organizers, one key learning from the Amsterdam meeting was that the interdisciplinarity of our network is reflected in different
the working group Opportunity for advanced training in empirical methods, data science, machine learning, etc. Participation in scientific meetings and international conferences The University of Bremen
The app was initially implemented in the accounting class “Rechnungswesen und Abschluss” during the winter semester 2020/21. An accompanying study by the involved researchers Florian Johannsen, Martin
54 students of the University of Bremen have successfully participated in this project.
You can find all other information in the vacancy description. We are looking forward to your application!