39 citations
- ETH ZurichCH4 papers
- University of BonnDE4 papers
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)DE3 papers
- GFZ Helmholtz Centre for GeosciencesDE2 papers
- Natural History Museum ViennaAT2 papers
- University of PotsdamDE2 papers
- Adolfo Ibáñez UniversityCL1 paper
- Astronomy and SpaceAU1 paper
- Bureau international des poids et mesuresFR1 paper
- Cambridge Cognition (United Kingdom)GB1 paper
- Carl von Ossietzky Universität OldenburgDE1 paper
- Center For Remote Sensing (United States)US1 paper
15 papers
PlantTraitNet: An Uncertainty-Aware Multimodal Framework for Global-Scale Plant Trait Inference from Citizen Science Data
Ayushi Sharma, Johanna Trost, Daniel Lusk +14
Global plant maps of plant traits, such as leaf nitrogen or plant height, are essential for understanding ecosystem processes, including the carbon and energy cycles of the Earth s…
Bidirectional yet asymmetric causality between urban systems and traffic dynamics in 30 cities worldwide
Yatao Zhang, Ye Hong, Song Gao +1
Understanding how urban systems and traffic dynamics co-evolve is crucial for advancing sustainable and resilient cities. However, their bidirectional causal relationships remain u…
Linking Young Stellar Object Morphology to Evolutionary Stages with Self-Organizing Maps
David Hernandez, Odysseas Dionatos, Marc Audard +5
Studies in the past few decades have investigated young stellar object evolution based on their spectral energy distribution (SED). The SED is heavily influenced not only by evolut…
Evaluating the Quality of the Quantified Uncertainty for (Re)Calibration of Data-Driven Regression Models
Jelke Wibbeke, Nico Schönfisch, Sebastian Rohjans +1
In safety-critical applications data-driven models must not only be accurate but also provide reliable uncertainty estimates. This property, commonly referred to as calibration, is…
Nationwide frequency-dependent seismic site amplification models for Iceland
Atefe Darzi, Benedikt Halldorsson, Fabrice Cotton +1
Seismic wave amplification due to localized site conditions is an important aspect of regional seismic hazard assessment. Without systematic studies of frequency-dependent site-eff…
Counterfactual Explanations for Deep Learning-Based Traffic Forecasting
Rushan Wang, Yanan Xin, Yatao Zhang +2
Deep learning models are widely used in traffic forecasting and have achieved state-of-the-art prediction accuracy. However, the black-box nature of those models makes the results…