most citedForecasting: theory and practice

27 citations · 29 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2023

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…

cs.IR2020★ 2 cited

Ensemble model for pre-discharge icd10 coding prediction

Yassien Shaalan, Alexander Dokumentov, Piyapong Khumrin +8

The translation of medical diagnosis to clinical coding has wide range of applications in billing, aetiology analysis, and auditing. Currently, coding is a manual effort while the…

cs.IR2020

Collaborative residual learners for automatic icd10 prediction using prescribed medications

Yassien Shaalan, Alexander Dokumentov, Piyapong Khumrin +8

Clinical coding is an administrative process that involves the translation of diagnostic data from episodes of care into a standard code format such as ICD10. It has many critical…

stat.AP2020★ 27 cited

Forecasting: theory and practice

Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos +77

Forecasting has always been at the forefront of decision making and planning. The uncertainty that surrounds the future is both exciting and challenging, with individuals and organ…

stat.ME2020

STR: Seasonal-Trend Decomposition Using Regression

Alexander Dokumentov, Rob J. Hyndman

We propose a new method for decomposing seasonal data: STR (a Seasonal-Trend decomposition using Regression). Unlike other decomposition methods, STR allows for multiple seasonal a…