Rohaifa Khaldi

发表

What is the best RNN-cell structure to forecast each time series behavior?

S. Tabik, R. Chiheb, A. E. Afia, 2022, Expert Syst. Appl..

Sentinel2GlobalLULC: A Sentinel-2 RGB image tile dataset for global land use/cover mapping with deep learning

S. Tabik, Francisco Herrera, D. Alcaraz‐Segura, 2022, Scientific Data.

Feedforward and Recurrent Neural Networks for Time Series Forecasting: Comparative Study

Abdellatif El Afia, Raddouane Chiheb, Rohaifa Khaldi, 2018, LOPAL '18.

Artificial Neural Network Based Approach for Blood Demand Forecasting: Fez Transfusion Blood Center Case Study

Abdellatif El Afia, Rdouan Faizi, Raddouane Chiheb, 2017, BDCA'17.

TimeSpec4LULC: a global multispectral time series database for training LULC mapping models with machine learning

S. Tabik, Francisco Herrera, D. Alcaraz‐Segura, 2022, Earth System Science Data.

TimeSpec4LULC: A Global Deep Learning-driven Dataset of MODIS Terra-Aqua Multi-Spectral Time Series for LULC Mapping and Change Detection

S. Tabik, Francisco Herrera, D. Alcaraz‐Segura, 2021 .

Sentinel2GlobalLULC: A deep-learning-ready Sentinel-2 RGB image dataset for global land use/cover mapping

S. Tabik, Francisco Herrera, E. Guirado, 2021, bioRxiv.

Forecasting of weekly patient visits to emergency department: real case study

Abdellatif El Afia, Raddouane Chiheb, Rohaifa Khaldi, 2019, Procedia Computer Science.

Prediction of Supplier Performance: A Novel Dea-Anfis Based Approach

Abdellatif El Afia, Rdouan Faizi, Raddouane Chiheb, 2017, BDCA'17.

Impact of Multistep Forecasting Strategies on Recurrent Neural Networks Performance for Short and Long Horizons

Abdellatif El Afia, Rohaifa Khaldi, Raddouane Chiheb, 2019, BDIoT'19.

Forecasting of BTC volatility: comparative study between parametric and nonparametric models

Rohaifa Khaldi, Abdellatif El Afia, Raddouane Chiheb, 2019, Progress in Artificial Intelligence.

Forecasting of Bitcoin Daily Returns with EEMD-ELMAN based Model

Abdellatif El Afia, Rdouan Faizi, Raddouane Chiheb, 2018, LOPAL '18.

Deep Learning for blind spectral unmixing of LULC classes with MODIS multispectral time series and ancillary data

S. Tabik, D. Alcaraz‐Segura, Rohaifa Khaldi, 2023, ArXiv.

Bidirectional recurrent imputation and abundance estimation of LULC classes with MODIS multispectral time series and geo-topographic and climatic data

Granada, D. Alcaraz‐Segura, Faculty of Computer Science, 2023, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

What is the best RNN-cell structure for forecasting each time series behavior?

S. Tabik, R. Chiheb, A. E. Afia, 2022, ArXiv.

Shrub of a thousand faces: an individual segmentation from satellite images using deep learning

S. Tabik, D. Alcaraz‐Segura, Rohaifa Khaldi, 2024, ArXiv.