1.4k citations · 1.9k across the 28 of their papers we have counts for
3 papers · 1 filter
RNN-BOF: A Multivariate Global Recurrent Neural Network for Binary Outcome Forecasting of Inpatient Aggression
Aidan Quinn, Melanie Simmons, Benjamin Spivak +1
Psychometric assessment instruments aid clinicians by providing methods of assessing the future risk of adverse events such as aggression. Existing machine learning approaches have…
Local and Global Trend Bayesian Exponential Smoothing Models
Slawek Smyl, Christoph Bergmeir, Alexander Dokumentov +3
This paper describes a family of seasonal and non-seasonal time series models that can be viewed as generalisations of additive and multiplicative exponential smoothing models, to…
Deep Active Audio Feature Learning in Resource-Constrained Environments
Md Mohaimenuzzaman, Christoph Bergmeir, Bernd Meyer
The scarcity of labelled data makes training Deep Neural Network (DNN) models in bioacoustic applications challenging. In typical bioacoustics applications, manually labelling the…