A Statistics and Deep Learning Hybrid Method for Multivariate Time Series Forecasting and Mortality Modeling

16 December 2021

Papers citing "A Statistics and Deep Learning Hybrid Method for Multivariate Time Series Forecasting and Mortality Modeling"

7 / 7 papers shown

Title
Late Meta-learning Fusion Using Representation Learning for Time Series Forecasting Terence L van Zyl AI4TS 11 1 0 20 Mar 2023
Towards a methodology for addressing missingness in datasets, with an application to demographic health datasets Gift Khangamwa Terence L van Zyl Clint J. van Alten 17 0 0 05 Nov 2022
A Survey on Explainable Anomaly Detection Zhong Li Yuxuan Zhu M. Leeuwen 38 73 0 13 Oct 2022
Strict baselines for Covid-19 forecasting and ML perspective for USA and Russia A. Sboev N. A. Kudryshov I. Moloshnikov S. Zavertyaev A. Naumov R. Rybka AI4TS 11 1 0 15 Jul 2022
Evaluating State of the Art, Forecasting Ensembles- and Meta-learning Strategies for Model Fusion Pieter Cawood Terence L van Zyl AI4TS 13 12 0 07 Mar 2022
Statistics and Deep Learning-based Hybrid Model for Interpretable Anomaly Detection Thabang Mathonsi Terence L van Zyl 35 0 0 25 Feb 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015