207 citations · 1.4k across the 102 of their papers we have counts for
3 papers · 2 filters
From Private to Public: Benchmarking GANs in the Context of Private Time Series Classification
Dominique Mercier, Andreas Dengel, Sheraz Ahmed
Deep learning has proven to be successful in various domains and for different tasks. However, when it comes to private data several restrictions are making it difficult to use dee…
On the Importance of Feature Representation for Flood Mapping using Classical Machine Learning Approaches
Kevin Iselborn, Marco Stricker, Takashi Miyamoto +2
Climate change has increased the severity and frequency of weather disasters all around the world. Flood inundation mapping based on earth observation data can help in this context…
A Bayesian Generative Adversarial Network (GAN) to Generate Synthetic Time-Series Data, Application in Combined Sewer Flow Prediction
Amin E. Bakhshipour, Alireza Koochali, Ulrich Dittmer +3
Despite various breakthroughs in machine learning and data analysis techniques for improving smart operation and management of urban water infrastructures, some key limitations obs…