
Rohaifa Khaldi
Contact
rohaifa.khaldi@lifedGMKlDHWOGuwatch.eu
Organization
UGRTotal | From 2018: | |
---|---|---|
Citas | Total: 211 | From 2018: 211 |
Índice H | Total: 9 | From 2018: 9 |
Índice i10 | Total: 8 | From 2018: 8 |
Papers (13)
Title | Authors | Year |
---|---|---|
Deep Learning for blind spectral unmixing of LULC classes with MODIS multispectral time series and ancillary data | J Rodríguez-Ortega, R Khaldi, D Alcaraz-Segura, S Tabik. | 2023 |
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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