Awareness of the clinical significance of thoracic aortic aneurismal disease has increased in recent years. As diagnostic tools have improved our ability to identify aortic pathology, surgical ...
Abstract: Learning-based distribution system state estimation (DSSE) methods typically depend on sufficient fully labeled data to construct mapping functions. However, collecting historical labels ...
Happiness is an electrifying and elusive state. Philosophers, theologians, psychologists, and even economists have long sought to define it. And since the 1990s, a whole branch of psychology—positive ...
Abstract: This paper presents an end-to-end approach, named FrictionSegNet, for jointly estimating tyre-road friction coefficient and identifying road surfaces in real time from on board camera data.
Tasks enabled by data contribution estimation (DCE) aid model improvement through data improvement. While benchmark DCE evaluation tasks show application across many ML domains, DCE has limited ...
In this tutorial, we present an advanced, hands-on tutorial that demonstrates how we use Qrisp to build and execute non-trivial quantum algorithms. We walk through core Qrisp abstractions for quantum ...
Download the R package here: https://github.com/carloscinelli/iv.sensemakr Download the OLS Stata version here: https://github.com/resonance1/sensemakr-stata // Load ...
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