REVISTA

Forecasting

ISSN: 2571-9394 Frecuencia: 4 Formato: Electrónica

Tablas de contenido

22 artículos asociados

Volumen 4 Número 0 Parte 1 Año 2022

Machine-Learning-Based Functional Time Series Forecasting: Application to Age-Specific Mortality Rates	Acceso
Ufuk Beyaztas and Hanlin Shang

Prevalence and Economic Costs of Absenteeism in an Aging Population?A Quasi-Stochastic Projection for Germany	Acceso
Patrizio Vanella, Christina Benita Wilke and Doris Söhnlein

Application of Agent-Based Modeling in Agricultural Productivity in Rural Area of Bahir Dar, Ethiopia	Acceso
Sardorbek Musayev, Jonathan Mellor, Tara Walsh and Emmanouil Anagnostou

Irradiance Nowcasting by Means of Deep-Learning Analysis of Infrared Images	Acceso
Alessandro Niccolai, Seyedamir Orooji, Andrea Matteri, Emanuele Ogliari and Sonia Leva

Editorial for Special Issue: ?Feature Papers of Forecasting 2021?	Acceso
Sonia Leva

Do Risky Scenarios Affect Forecasts of Savings and Expenses?	Acceso
Shari De Baets, Dilek Önkal and Wasim Ahmed

Switching Coefficients or Automatic Variable Selection: An Application in Forecasting Commodity Returns	Acceso
Massimo Guidolin and Manuela Pedio

Explainable Ensemble Machine Learning for Breast Cancer Diagnosis Based on Ultrasound Image Texture Features	Acceso
Alireza Rezazadeh, Yasamin Jafarian and Ali Kord

High-Resolution Gridded Air Temperature Data for the Urban Environment: The Milan Data Set	Acceso
Giuseppe Frustaci, Samantha Pilati, Cristina Lavecchia and Enea Marco Montoli

Side-Length-Independent Motif (SLIM): Motif Discovery and Volatility Analysis in Time Series?SAX, MDL and the Matrix Profile	Acceso
Eoin Cartwright, Martin Crane and Heather J. Ruskin

Projecting Mortality Rates to Extreme Old Age with the CBDX Model	Acceso
Kevin Dowd and David Blake

A Hybrid XGBoost-MLP Model for Credit Risk Assessment on Digital Supply Chain Finance	Acceso
Yixuan Li, Charalampos Stasinakis and Wee Meng Yeo

Acknowledgment to the Reviewers of Forecasting in 2021	Acceso
Forecasting Editorial Office

Trend Lines and Japanese Candlesticks Applied to the Forecasting of Wind Speed Data Series	Acceso
Manfredo Guilizzoni and Paloma Maldonado Eizaguirre

Short Term Electric Power Load Forecasting Using Principal Component Analysis and Recurrent Neural Networks	Acceso
Venkataramana Veeramsetty, Dongari Rakesh Chandra, Francesco Grimaccia and Marco Mussetta

Hybrid Surrogate Model for Timely Prediction of Flash Flood Inundation Maps Caused by Rapid River Overflow	Acceso
Andre D. L. Zanchetta and Paulin Coulibaly

Analysing Historical and Modelling Future Soil Temperature at Kuujjuaq, Quebec (Canada): Implications on Aviation Infrastructure	Acceso
Andrew C. W. Leung, William A. Gough and Tanzina Mohsin

SIMLR: Machine Learning inside the SIR Model for COVID-19 Forecasting	Acceso
Roberto Vega, Leonardo Flores and Russell Greiner

Event-Based Evaluation of Electricity Price Ensemble Forecasts	Acceso
Arne Vogler and Florian Ziel

Analyzing and Forecasting Tourism Demand in Vietnam with Artificial Neural Networks	Acceso
Le Quyen Nguyen, Paula Odete Fernandes and João Paulo Teixeira

Prediction of Autonomy Loss in Alzheimer?s Disease	Acceso
Anne-Sophie Nicolas, Michel Ducher, Laurent Bourguignon, Virginie Dauphinot and Pierre Krolak-Salmon

A Statistics and Deep Learning Hybrid Method for Multivariate Time Series Forecasting and Mortality Modeling	Acceso
Thabang Mathonsi and Terence L. van Zyl