Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Froelich, Wojciech
and
Pedrycz, Witold
2017.
Fuzzy cognitive maps in the modeling of granular time series.
Knowledge-Based Systems,
Vol. 115,
Issue. ,
p.
110.
Kovachki, Nikola B
and
Stuart, Andrew M
2019.
Ensemble Kalman inversion: a derivative-free technique for machine learning tasks.
Inverse Problems,
Vol. 35,
Issue. 9,
p.
095005.
Xue, Nan
Luo, Xiong
Gao, Yang
Wang, Weiping
Wang, Long
Huang, Chao
and
Zhao, Wenbing
2019.
Kernel Mixture Correntropy Conjugate Gradient Algorithm for Time Series Prediction.
Entropy,
Vol. 21,
Issue. 8,
p.
785.
Silva, Ricardo Petri
Zarpelão, Bruno Bogaz
Cano, Alberto
and
Junior, Sylvio Barbon
2021.
Time Series Segmentation Based on Stationarity Analysis to Improve New Samples Prediction.
Sensors,
Vol. 21,
Issue. 21,
p.
7333.
Furuoka, Fumitaka
Gil-Alana, Luis A.
Yaya, OlaOluwa S.
Aruchunan, Elayaraja
and
Ogbonna, Ephraim
2022.
Testing Fractional Integration in Time Series with Artificial Neural Network.
SSRN Electronic Journal,
Wang, Heshan
Zhang, Yiping
Liang, Jing
and
Liu, Lili
2023.
DAFA-BiLSTM: Deep Autoregression Feature Augmented Bidirectional LSTM network for time series prediction.
Neural Networks,
Vol. 157,
Issue. ,
p.
240.
Furuoka, Fumitaka
2024.
Disability and Employment.
p.
69.
Liu, Qianwen
Li, Fanjun
and
Wang, Wenting
2024.
Memory augmented echo state network for time series prediction.
Neural Computing and Applications,
Vol. 36,
Issue. 7,
p.
3761.
Sánchez, Alejandro
Lillo, Rosa E.
and
Aguilar, Jose
2025.
Extension to a Fuzzy Cognitive Maps-based Approach for Modelling Granular Time Series for Forecasting Tasks.
Knowledge-Based Systems,
p.
114763.