Schlagwort : Machine Learning
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Making sense of app reviews
efficient analysis of user reviews for mobile apps with STMInnsbruck, 21 march 2022Reasoning in natural language
Innsbruck, 26. September 2021Spatio-temporal variability of soil moisture in alpine areas
high-resolution detection based on the combination of remote sensing data, a digital terrain model and ground-based measurementsInnsbruck, 4. April 2023- Das Werk ist online nicht zugreifbar
Making service processes more efficient
a practical application using text mining and machine learning at Swarovski, TyrolInnsbruck, 27 November, 2019 Predicting ESG scores from news articles using natural language processing
Innsbruck, April 2022- Das Werk ist online nicht zugreifbar
Improving Decision Making Using Semantic Web Technologies
Innsbruck, 2023 AI & innovation management
comparing human and machine-based similarity representation of ideas and evaluating the granularity of solution landscapes in the fuzzy front end of innovationInnsbruck, June 2021Artifcial neural networks as function approximators in quantum many-body physics
Innsbruck, October 8, 2018Image recognition and transfer learning
Innsbruck, Februar 2019Neo epitope prediction for personalized cancer immunotherapy
Innsbruck, 24th February 2020- Das Dokument ist auf Wunsch des Urhebers/der Urheberin online nicht zugänglich
Duplicate detection as a service
a step towards automated duplicate detectionInnsbruck, December 7, 2020 - Das Dokument ist auf Wunsch des Urhebers/der Urheberin online nicht zugänglich
Development of a gesture control system for the AOUDA spacesuit simulator
Innsbruck, June 2018 - Das Dokument ist auf Wunsch des Urhebers/der Urheberin online nicht zugänglich
Development of a high throughput pipeline for reconstruction of tumor-immune cell networks
Innsbruck, August 14, 2020 Information extraction from medical reports of patients with multiple myeloma using machine learning
Innsbruck, 11. Oktober 2019Analysis of public available information security data sets with data mining algorithms
Innsbruck, May 17, 2018Automatisierte Erkennung von Bombenkratern in 3D Punktwolken
Innsbruck, Januar 2020