44 citations · 48 across the 3 of their papers we have counts for
3 papers
Delay-SDE-net: A deep learning approach for time series modelling with memory and uncertainty estimates
Mari Dahl Eggen, Alise Danielle Midtfjord
To model time series accurately is important within a wide range of fields. As the world is generally too complex to be modelled exactly, it is often meaningful to assess the proba…
A copula-based boosting model for time-to-event prediction with dependent censoring
Alise Danielle Midtfjord, Riccardo De Bin, Arne Bang Huseby
A characteristic feature of time-to-event data analysis is possible censoring of the event time. Most of the statistical learning methods for handling censored data are limited by…
A Decision Support System for Safer Airplane Landings: Predicting Runway Conditions Using XGBoost and Explainable AI
Alise Danielle Midtfjord, Riccardo De Bin, Arne Bang Huseby
The presence of snow and ice on runway surfaces reduces the available tire-pavement friction needed for retardation and directional control and causes potential economic and safety…