Epicasting: An Ensemble Wavelet Neural Network for forecasting epidemics

Forecasting: theory and practice

(2022) Fotios Petropoulos et al.   INTERNATIONAL JOURNAL OF FORECASTING

Improving probabilistic infectious disease forecasting through coherence

(2021) Graham Casey Gibson et al.   PLoS Computational Biology

An ensemble method for early prediction of dengue outbreak

(2021) Soudeep Deb et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY

A maximal overlap discrete wavelet packet transform integrated approach for rainfall forecasting – A case study in the Awash River Basin (Ethiopia)

(2021) John Quilty et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study

(2020) Joseph T Wu et al.   LANCET

The time series seasonal patterns of dengue fever and associated weather variables in Bangkok (2003-2017)

(2020) Sittisede Polwiang   BMC INFECTIOUS DISEASES

Real-time forecasts and risk assessment of novel coronavirus (COVID-19) cases: A data-driven analysis

(2020) Tanujit Chakraborty et al.   CHAOS SOLITONS & FRACTALS

Probabilistic forecasting with temporal convolutional neural network

(2020) Yitian Chen et al.   NEUROCOMPUTING

LSTM based prediction of malaria abundances using big data

(2020) Thakur Santosh et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Forecasting wavelet neural hybrid network with financial ensemble empirical mode decomposition and MCID evaluation

(2020) Yu Yang et al.   EXPERT SYSTEMS WITH APPLICATIONS

A wavelet-based hybrid neural network for short-term electricity prices forecasting

(2019) Foued Saâdaoui et al.   ARTIFICIAL INTELLIGENCE REVIEW

Parameter identification for a stochastic SEIRS epidemic model: case study influenza

(2019) Anna Mummert et al.   JOURNAL OF MATHEMATICAL BIOLOGY

Detection, forecasting and control of infectious disease epidemics: modelling outbreaks in humans, animals and plants

(2019) Robin N. Thompson et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

Using models to provide rapid programme support for California's efforts to suppress Huanglongbing disease of citrus

(2019) Neil McRoberts et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

A nonparametric ensemble binary classifier and its statistical properties

(2019) Tanujit Chakraborty et al.   STATISTICS & PROBABILITY LETTERS

Forecasting dengue epidemics using a hybrid methodology

(2019) Tanujit Chakraborty et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

An open challenge to advance probabilistic forecasting for dengue epidemics

(2019) Michael A. Johansson et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Forecasting dengue and influenza incidences using a sparse representation of Google trends, electronic health records, and time series data

(2019) Prashant Rangarajan et al.   PLoS Computational Biology

A dengue fever predicting model based on Baidu search index data and climate data in South China

(2019) Dan Liu et al.   PLoS One

Phenomenological forecasting of disease incidence using heteroskedastic Gaussian processes: A dengue case study

(2018) Leah R. Johnson et al.   Annals of Applied Statistics

Imported cases and minimum temperature drive dengue transmission in Guangzhou, China: evidence from ARIMAX model

(2018) Q. L. Jing et al.   EPIDEMIOLOGY AND INFECTION

Ensemble method for dengue prediction

(2018) Anna L. Buczak et al.   PLoS One

A nonlinear Wiener process degradation model with autoregressive errors

(2018) Junxing Li et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Real-time forecasting of infectious disease dynamics with a stochastic semi-mechanistic model

(2018) Sebastian Funk et al.   Epidemics

Estimation of reproduction number and non stationary spectral analysis of dengue epidemic

(2017) Murali Krishna Enduri et al.   MATHEMATICAL BIOSCIENCES

Comparative performance of wavelet-based neural network approaches

(2017) Priyanka Anjoy et al.   NEURAL COMPUTING & APPLICATIONS

A wavelet-based non-linear autoregressive with exogenous inputs (WNARX) dynamic neural network model for real-time flood forecasting using satellite-based rainfall products

(2016) Trushnamayee Nanda et al.   JOURNAL OF HYDROLOGY

MODWT-ARMA model for time series prediction

(2013) Li Zhu et al.   APPLIED MATHEMATICAL MODELLING

Metalearning: a survey of trends and technologies

(2013) Christiane Lemke et al.   ARTIFICIAL INTELLIGENCE REVIEW

The global distribution and burden of dengue

(2013) Samir Bhatt et al.   NATURE

A Support Vector Machine-Firefly Algorithm based forecasting model to determine malaria transmission

(2013) Sudheer Ch et al.   NEUROCOMPUTING

Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing

(2012) Alysha M. De Livera et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Long-Range Out-of-Sample Properties of Autoregressive Neural Networks

(2008) Patrick Leoni   NEURAL COMPUTATION

Wavelet decomposition and autoregressive model for time series prediction

(2007) A. Ben Mabrouk et al.   APPLIED MATHEMATICS AND COMPUTATION

Time series forecasting with neural networks: a comparative study using the air line data

(2003) Julian Faraway et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS