| 2023 | GI | Landwirtschaftliche Ertragsvorhersage im Kontext begrenzter realer Trainingsdatenstze: ein Transfer-Learning-Ansatz unter Verwendung tieferneuronalerNetze. | Alexander Mnzberg, Christian Troost, Nils Reinosch, Daniel Martini, Liv Seuring, Alexander Niehus, Rajiv Kumar Srivastava, Thilo Streck, Thomas Berger, Ansgar Bernardi |
| 2022 | GI | Using Transfer Learning for Quality Improved Forecasting of Temporal Agricultural Processes by Adapting Convolutional Neural Networks. | Alexander Mnzberg, Christian Troost, Ansgar Bernardi |
| 2019 | WiMob | Checking the Plausibility of Nutrient Data in Food Datasets Using KNIME and Big Data. | Alexander Mnzberg, Janina Sauer, Andreas Hein, Norbert Rsch |
| 2019 | WiMob | Simplify Testing of Mobile Medical Applications by Using Timestamps for Remote, Automated Evaluation. | Janina Sauer, Andreas Hein, Alexander Mnzberg, Norbert Rsch |
| 2018 | WiMob | The use of ETL and data profiling to integrate data and improve quality in food databases. | Alexander Mnzberg, Janina Sauer, Andreas Hein, Norbert Rsch |
| 2017 | ISCC | DiDiER - digitized services in dietary counselling for people with increased health risks related to malnutrition and food allergies. | Patrick Elfert, Marco Eichelberg, Johannes Trger, Jochen Britz, Jan Alexandersson, Daniel Bieber, Jrgen M. Bauer, Susanne Teichmann, Ludwig Kuhn, Martin Thielen, Janina Sauer, Alexander Mnzberg, Norbert Rsch, Julia Woizischke, Rebecca Diekmann, Andreas Hein |