OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
An ensemble learning strategy for panel time series forecasting of excess mortality during the COVID-19 pandemic
Afshin Ashofteh, Jorge Miguel Bravo, Mercedes Ayuso
Applied Soft Computing (2022) Vol. 128, pp. 109422-109422
Open Access | Times Cited: 15
Afshin Ashofteh, Jorge Miguel Bravo, Mercedes Ayuso
Applied Soft Computing (2022) Vol. 128, pp. 109422-109422
Open Access | Times Cited: 15
Showing 15 citing articles:
Assessment of groundwater quality in a highly urbanized coastal city using water quality index model and bayesian model averaging
Xin Wang, Yong Tian, Chongxuan Liu
Frontiers in Environmental Science (2023) Vol. 11
Open Access | Times Cited: 11
Xin Wang, Yong Tian, Chongxuan Liu
Frontiers in Environmental Science (2023) Vol. 11
Open Access | Times Cited: 11
Linear сombination of AR(1), MA(q) models with minimal forecast variance
Danila Musatov, D. A. Petrusevich
AIP conference proceedings (2025) Vol. 3268, pp. 020013-020013
Closed Access
Danila Musatov, D. A. Petrusevich
AIP conference proceedings (2025) Vol. 3268, pp. 020013-020013
Closed Access
Intergenerational actuarial fairness when longevity increases: Amending the retirement age
Jorge Miguel Bravo, Mercedes Ayuso, Robert Holzmann, et al.
Insurance Mathematics and Economics (2023) Vol. 113, pp. 161-184
Open Access | Times Cited: 8
Jorge Miguel Bravo, Mercedes Ayuso, Robert Holzmann, et al.
Insurance Mathematics and Economics (2023) Vol. 113, pp. 161-184
Open Access | Times Cited: 8
Modelling Motor Insurance Claim Frequency and Severity Using Gradient Boosting
Carina Clemente, Gracinda R. Guerreiro, Jorge Miguel Bravo
Risks (2023) Vol. 11, Iss. 9, pp. 163-163
Open Access | Times Cited: 8
Carina Clemente, Gracinda R. Guerreiro, Jorge Miguel Bravo
Risks (2023) Vol. 11, Iss. 9, pp. 163-163
Open Access | Times Cited: 8
Two novel nonlinear multivariate grey models with kernel learning for small-sample time series prediction
Lan Wang, Nan Li, Ming Xie, et al.
Nonlinear Dynamics (2023) Vol. 111, Iss. 9, pp. 8571-8590
Open Access | Times Cited: 5
Lan Wang, Nan Li, Ming Xie, et al.
Nonlinear Dynamics (2023) Vol. 111, Iss. 9, pp. 8571-8590
Open Access | Times Cited: 5
TiDEFormer—a heterogenous stacking ensemble approach for time series forecasting of COVID-19 prevalence
Satya Prakash, Anand Singh Jalal, Pooja Pathak
International Journal of Machine Learning and Cybernetics (2024)
Closed Access | Times Cited: 1
Satya Prakash, Anand Singh Jalal, Pooja Pathak
International Journal of Machine Learning and Cybernetics (2024)
Closed Access | Times Cited: 1
EpiForecaster: a novel deep learning ensemble optimization approach to combining forecasts for emerging epidemic outbreaks
Milton Soto-Ferrari, Alejandro Carrasco‐Pena, Diana Prieto
Stochastic Environmental Research and Risk Assessment (2024)
Closed Access | Times Cited: 1
Milton Soto-Ferrari, Alejandro Carrasco‐Pena, Diana Prieto
Stochastic Environmental Research and Risk Assessment (2024)
Closed Access | Times Cited: 1
Credit Risk Scoring: A Stacking Generalization Approach
Bernardo Raimundo, Jorge Miguel Bravo
Lecture notes in networks and systems (2024), pp. 382-396
Closed Access
Bernardo Raimundo, Jorge Miguel Bravo
Lecture notes in networks and systems (2024), pp. 382-396
Closed Access
A hybrid recursive direct system for multi-step mortality rate forecasting
Filipe Coelho de Lima Duarte, Paulo S. G. de Mattos Neto, Paulo Renato Alves Firmino
The Journal of Supercomputing (2024) Vol. 80, Iss. 13, pp. 18430-18463
Closed Access
Filipe Coelho de Lima Duarte, Paulo S. G. de Mattos Neto, Paulo Renato Alves Firmino
The Journal of Supercomputing (2024) Vol. 80, Iss. 13, pp. 18430-18463
Closed Access
Ensemble Methods for Stock Market Prediction
Jorge Miguel Bravo
Communications in computer and information science (2024), pp. 430-448
Closed Access
Jorge Miguel Bravo
Communications in computer and information science (2024), pp. 430-448
Closed Access
Machine Learning Models for Predicting COVID-19: An Ensemble Approach Applied to the State of Alagoas
José Lucas Bispo dos Santos, Elpídio Inácio Fernandes Filho, Mafalda Oliveira, et al.
(2024), pp. 412-423
Closed Access
José Lucas Bispo dos Santos, Elpídio Inácio Fernandes Filho, Mafalda Oliveira, et al.
(2024), pp. 412-423
Closed Access
A novel online multi-task learning for COVID-19 multi-output spatio-temporal prediction
Zipeng Wu, Chu Kiong Loo, Unaizah Obaidellah, et al.
Heliyon (2023) Vol. 9, Iss. 8, pp. e18771-e18771
Open Access | Times Cited: 1
Zipeng Wu, Chu Kiong Loo, Unaizah Obaidellah, et al.
Heliyon (2023) Vol. 9, Iss. 8, pp. e18771-e18771
Open Access | Times Cited: 1
Ensemble Learning Based Time Series Forecasting for Clinical Datasets: A Study on Covid-19 Transmission and Emergency Department Arrival
Abdullah Ammar Karcıoğlu
(2023)
Closed Access
Abdullah Ammar Karcıoğlu
(2023)
Closed Access
Teaching Note—Data Science Training for Finance and Risk Analysis: A Pedagogical Approach with Integrating Online Platforms
Afshin Ashofteh
Springer proceedings in mathematics & statistics (2023), pp. 17-25
Closed Access
Afshin Ashofteh
Springer proceedings in mathematics & statistics (2023), pp. 17-25
Closed Access
Time series analysis and prediction of scarlet fever incidence trends in Jiangsu Province, China: using ARIMA and TBATS models
zaijin Guo, Hao Gong, Yunshui Li, et al.
Research Square (Research Square) (2022)
Open Access
zaijin Guo, Hao Gong, Yunshui Li, et al.
Research Square (Research Square) (2022)
Open Access
