most citedStatistics and Deep Learning-based Hybrid Model for Interpretable Anomaly Detection

2 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2022★ 2 cited

Statistics and Deep Learning-based Hybrid Model for Interpretable Anomaly Detection

Thabang Mathonsi, Terence L van Zyl

Hybrid methods have been shown to outperform pure statistical and pure deep learning methods at both forecasting tasks, and at quantifying the uncertainty associated with those for…

cs.LG2021

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

Thabang Mathonsi, Terence L. van Zyl

Hybrid methods have been shown to outperform pure statistical and pure deep learning methods at forecasting tasks and quantifying the associated uncertainty with those forecasts (p…

cs.LG2021

Multivariate Anomaly Detection based on Prediction Intervals Constructed using Deep Learning

Thabang Mathonsi, Terence L. van Zyl

It has been shown that deep learning models can under certain circumstances outperform traditional statistical methods at forecasting. Furthermore, various techniques have been dev…