Stefanie Vogl

OTH Regensburg — Germany

Earth and Planetary Sciences · Physical Sciences

9h-index697citations62works1.12yr avg
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Research Topics

Meteorological Phenomena and Simulations(14), Climate variability and models(11), Hydrology and Drought Analysis(6), Precipitation Measurement and Analysis(6), Tropical and Extratropical Cyclones Research(5)

Publications62 total

Extracting Product Improvement Insights from Social Media Comments Using Machine Learning: A Case Study in the Automotive Industry
Machine Learning and Knowledge Extraction·2026Open Access
Mind the naive forecast! a rigorous evaluation of forecasting models for time series with low predictability
Applied Intelligence·2025· 5 citedOpen Access
Analyzing the impact of redaction on document classification performance of deep CNN models
International Journal on Document Analysis and Recognition (IJDAR)·2024
Determine the Backup Protection Value of Low Voltage Switchgear by Computational Calculation of the Limit Load
2024
Analyzing the Impact of Redaction on Document Classification Performance of Deep CNN Models
2024Open Access
ResRadNet: A 3D-Residual Neural Network Approach for Temporal Super-Resolution and Ground Adjustment of Weather Radar Rainfall Estimates
2024Open Access
Temporal Super-Resolution, Ground Adjustment, and Advection Correction of Radar Rainfall Using 3-D-Convolutional Neural Networks
IEEE Transactions on Geoscience and Remote Sensing·2024· 3 citedOpen Access
Orthogonal Procrustes and Machine Learning: Predicting Bill of Materials errors on time
Computers & Industrial Engineering·2023· 1 cited
Automated bat call classification using deep convolutional neural networks
Bioacoustics·2022· 16 cited
Modelling Precipitation Intensities from X-Band Radar Measurements Using Artificial Neural Networks—A Feasibility Study for the Bavarian Oberland Region
Water·2022· 2 citedOpen Access
Orthogonal Procrustes and Machine Learning: Predicting Bill of Material Errors on Time
SSRN Electronic Journal·2022· 2 citedOpen Access
Orthogonal Procrustes and Machine Learning: Predicting Bill of Material Errors on Time
SSRN Electronic Journal·2022Open Access
Orthogonal Procrustes Based Anomaly Detection and Error Prediction for Vehicle Bills of Materials
SSRN Electronic Journal·2022Open Access
Automatic Segregation of Pelagic Habitats
Frontiers in Marine Science·2021· 5 citedOpen Access
Data Science
2021· 2 cited
Literatur
Data Science·2021Open Access
Intervallschätzung
Data Science·2021Open Access
Neuronale Netze
Data Science·2021Open Access
Betrachtung eines Merkmals
Data Science·2021Open Access
Stetige Zufallsvariable
Data Science·2021Open Access
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Frequent Co-authors

Harald Kunstmann(17), Patrick Laux(13), Sandro Scheid(13), Arturo Sanchez‐Lorenzo(5), Harrie‐Jan Hendricks Franssen(5), Josep Calbó(5), Ganquan Mao(5), Wei Qiu(4), Aristeidis K. Georgoulias(4), Johannes Quaas(4), P. Laux(4), Roger K. Smith(3), Sven Wagner(3), Matthias Pieper(3), Hans Richard Knoche(2), G. Kraller(2), Michael Warscher(2), Thomas Marke(2), Ulrich Strasser(2), Julius Polz(2)