Artificial Neural Network

A unifying partially-interpretable framework for neural network-based extreme quantile regression

Raphaël Huser, Associate Professor, Statistics

Nov 29, 12:00 - 13:00

B9 L2 R2322

Artificial Neural Network quantile regression

In this paper, we propose a new methodological framework for performing extreme quantile regression using artificial neural networks, which are able to capture complex non-linear relationships and scale well to high-dimensional data.

Tracking the Curve: Analyzing the Emotional Response to COVID-19

1 min read · Tue, Jun 2 2020

Artificial Neural Network epidemiology artificial intelligence machine learning

Hashtags like #covid19 and #coronavirus help us stay up to date on the developments of the new coronavirus pandemic. But beyond breaking news, tweets also offer a glimpse into the emotional side of the COVID-19 crisis.