Rohaifa Khaldi
Categoría
DoctorContacto
rohaifa.khaldi@lifewatch.fswrs.vyeu
Organismo
UGR
| Total | Desde 2018: | |
|---|---|---|
| Citas | Total: 176 | Desde 2018: 176 |
| Índice H | Total: 7 | Desde 2018: 7 |
| Índice i10 | Total: 7 | Desde 2018: 7 |
Publicaciones (13)
| Título | Autores | Año |
|---|---|---|
| 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 |
| Sentinel2GlobalLULC: A Sentinel-2 RGB image tile dataset for global land use/cover mapping with deep learning | Y Benhammou, D Alcaraz-Segura, E Guirado, R Khaldi, B Achchab, .... | 2022 |
| What is the best RNN-cell structure to forecast each time series behavior? | R Khaldi, A El Afia, R Chiheb, S Tabik. | 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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