Forecasting Emergency Department Crowding with Advanced Machine Learning Models and Multivariable Input

31 August 2023

Papers citing "Forecasting Emergency Department Crowding with Advanced Machine Learning Models and Multivariable Input"

8 / 8 papers shown

Title
A Temporal Fusion Transformer for Long-term Explainable Prediction of Emergency Department Overcrowding Francisco M. Caldas Cláudia Soares 21 6 0 01 Jul 2022
Darts: User-Friendly Modern Machine Learning for Time Series J. Herzen Francesco Lässig Samuele Giuliano Piazzetta T. Neuer Léo Tafti ... Mounir Benheddi Camila Williamson Michal Kosinskihttps://www.semanticscholar.org/me/account M. Petrik Gaël Grosch AI4TS 183 221 0 07 Oct 2021
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting Bryan Lim Sercan O. Arik Nicolas Loeff Tomas Pfister AI4TS 122 1,469 0 19 Dec 2019
Optuna: A Next-generation Hyperparameter Optimization Framework Takuya Akiba Shotaro Sano Toshihiko Yanase Takeru Ohta Masanori Koyama 666 5,835 0 25 Jul 2019
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting Boris N. Oreshkin Dmitri Carpov Nicolas Chapados Yoshua Bengio AI4TS 117 1,066 0 24 May 2019
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 730 132,363 0 12 Jun 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 22,002 0 22 May 2017
DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks David Salinas Valentin Flunkert Jan Gasthaus AI4TS UQCV BDL 85 2,127 0 13 Apr 2017