Rohaifa Khaldi

Category

PhD

Contact

rohaifa@ugLJ8z8uT4geT0r.es

Organization

UGR

Researcher Profile

Total From 2017:
Citas Total: 135 From 2017: 135
Índice H Total: 7 From 2017: 7
Índice i10 Total: 6 From 2017: 6

Papers (12)

Title Authors Year
What is the best RNN-cell structure for forecasting each time series behavior? R Khaldi, AE Afia, R Chiheb, S Tabik. 2022
TimeSpec4LULC: a global multispectral time series database for training LULC mapping models with machine learning R Khaldi, D Alcaraz-Segura, E Guirado, Y Benhammou, A El Afia, .... 2022
TimeSpec4LULC: A Global Deep Learning-driven Dataset of MODIS Terra-Aqua Multi-Spectral Time Series for LULC Mapping and Change Detection R Khaldi, D Alcaraz-Segura, E Guirado, Y Benhammou, A El Afia, .... 2021
Sentinel2GlobalLULC: A deep-learning-ready Sentinel-2 RGB image dataset for global land use/cover mapping DA Segura, E Guirado, R Khaldi, B Achchab, F Herrera, S Tabik. 2021
Forecasting of weekly patient visits to emergency department: real case study R Khaldi, A El Afia, R Chiheb. 2019
Performance prediction of pharmaceutical suppliers: comparative study between DEA-ANFIS-PSO and DEA-ANFIS-GA R Khaldi, AE Afia, R Chiheb. 2019
Forecasting of BTC volatility: comparative study between parametric and nonparametric models R Khaldi, A El Afia, R Chiheb. 2019
Impact of Multistep Forecasting Strategies on Recurrent Neural Networks Performance for Short and Long Horizons R Khaldi, A El Afia, R Chiheb. 2019
Forecasting of Bitcoin daily returns with EEMD-ELMAN based model R Khaldi, A El Afia, R Chiheb, R Faizi. 2018
Feedforward and recurrent neural networks for time series forecasting: comparative study R Khaldi, R Chiheb, A El Afia. 2018
Artificial neural network based approach for blood demand forecasting: Fez transfusion blood center case study R Khaldi, A El Afia, R Chiheb, R Faizi. 2017
Prediction of supplier performance: a novel DEA-ANFIS based approach R Khaldi, R Chiheb, A El Afia, A Akaaboune, R Faizi. 2017

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