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Alexander Muenzberg
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DiDiER-digitized services in dietary counselling for people with increased health risks related to malnutrition and food allergies
P Elfert, M Eichelberg, J Tröger, J Britz, J Alexandersson, D Bieber, ...
2017 IEEE Symposium on Computers and Communications (ISCC), 100-104, 2017
122017
The use of ETL and data profiling to integrate data and improve quality in food databases
A Münzberg, J Sauer, A Hein, N Rösch
2018 14th International Conference on Wireless and Mobile Computing …, 2018
92018
Combining machine learning and simulation modelling for better predictions of crop yield and farmer income
T Berger, A Bernardi, D Martini, A Münzberg, J Parussis, T Streck, ...
Proceedings 10th International Congress on Environmental Modelling and …, 2020
42020
Remote testing of usability in medical apps
J Sauer, A Muenzberg, L Siewert, A Hein, N Roesch
Wireless Mobile Communication and Healthcare: 8th EAI International …, 2020
42020
Checking the plausibility of nutrient data in food datasets using KNIME and big data
A Muenzberg, J Sauer, A Hein, N Roesch
2019 International Conference on Wireless and Mobile Computing, Networking …, 2019
42019
Simplify testing of mobile medical applications by using timestamps for remote, automated evaluation
J Sauer, A Hein, A Muenzberg, N Roesch
2019 international conference on wireless and mobile computing, networking …, 2019
42019
Remote Testing of Usability in Medical Apps, vol. 320 LNICST of
J Sauer, A Muenzberg, L Siewert, A Hein, N Roesch
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and …, 2020
32020
Digital supported diagnostics in food allergy by analyzing app-based diaries
N Roesch, A Muenzberg, J Sauer, S Laemmel, S Teichmann, ...
ALLERGY 74, 153-153, 2019
32019
Machine Learning on Simulated and Real Farm Data Based on an Ontology-Controlled Data Infrastructure.
A Muenzberg, C Troost, D Martini, F Mendoza, RK Srivastava, T Berger, ...
AAAI Spring Symposium: MAKE, 2022
22022
Konzeption und Entwicklung einer Datenbasis für Gesundheits-Apps mit qualitätsgeprüften Lebensmitteldaten aus externen Quellen
A Münzberg
Universität Oldenburg, 2022
22022
Machine Learning and Context-Based Approaches to Get Quality Improved Food Data
A Muenzberg, J Sauer, A Hein, N Roesch
Proceedings of Sixth International Congress on Information and Communication …, 2022
22022
Using Transfer Learning for Quality Improved Forecasting of Temporal Agricultural Processes by Adapting Convolutional Neural Networks
A Münzberg, C Troost, A Bernardi
Gesellschaft für Informatik, Bonn, 2022
12022
Digitalisierte Dienstleistungen im Bereich der Ernährungsberatung von Personengruppen mit erhöhten gesundheitlichen Risiken bei Fehlernährung
H Haab, J Alexandersson, J Britz, R Diekmann, M Eichelberg, P Elfert, ...
Dienstleistungsinnovationen durch Digitalisierung: Band 2: Prozesse …, 2021
12021
Intelligent combination of food composition databases and food product databases for use in health applications
A Muenzberg, J Sauer, A Hein, N Roesch
Wireless Mobile Communication and Healthcare: 8th EAI International …, 2020
12020
Optimization and merging of food product data and food composition databases for medical use
A Muenzberg, J Sauer, S Laemmel, S Teichmann, M Eichelberg, A Hein, ...
ALLERGY 74, 473-473, 2019
12019
Landwirtschaftliche Ertragsvorhersage im Kontext begrenzter realer Trainingsdatensätze: ein Transfer-Learning-Ansatz unter Verwendung tieferneuronalerNetze
A Münzberg, C Troost, N Reinosch, D Martini, L Seuring, A Niehus, ...
Gesellschaft für Informatik eV, 2023
2023
SIMLEARN–Ontologiegestützte Integration von Simulationsmodellen, Systemen für maschinelles Lernen und Planungsdaten
N Reinosch, A Münzberg, D Martini, A Niehus, L Seuring, C Troost, ...
Gesellschaft für Informatik eV, 2023
2023
Increase the Quality of Treatment with Medical Apps Through Remote Compliance Testing
J Sauer, A Muenzberg, F Reisewitz, A Hein, N Roesch
Proceedings of Sixth International Congress on Information and Communication …, 2022
2022
The role of usability in digitized nutritional counselling settings
J Sauer, A Muenzberg, H Haab, S Teichmann, S Laemmel, M Eichelberg, ...
ALLERGY 74, 305-305, 2019
2019
Konzeption und Entwicklung einer Datenbasis für Gesundheits-Apps mit qualitätsgeprüften Lebensmitteldaten aus externen Quellen
A Münzberg
Dissertation, Oldenburg, Universität Oldenburg, 2022, 0
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