Rohaifa Khaldi

According to our database, Rohaifa Khaldi authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Bidirectional Recurrent Imputation and Abundance Estimation of LULC Classes With MODIS Multispectral Time-Series and Geo-Topographic and Climatic Data.

José Rodríguez-Ortega, Rohaifa Khaldi, Domingo Alcaraz-Segura, Siham Tabik

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

On Large Uni- and Multi-modal Models for Unsupervised Classification of Social Media Images: Nature's Contribution to People as a case study.

Rohaifa Khaldi, Domingo Alcaraz-Segura, Ignacio Sánchez-Herrera, Javier Martínez-López, Carlos Javier Navarro, Siham Tabik

CoRR, 2024

Recognition of Harmful Phytoplankton from Microscopic Images using Deep Learning.

Aymane Khaldi, Rohaifa Khaldi

CoRR, 2024

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

Rohaifa Khaldi, Siham Tabik, Sergio Puertas-Ruíz, Julio Peñas de Giles, José Antonio Hódar Correa, Regino Zamora, Domingo Alcaraz-Segura

CoRR, 2024

Individual mapping of large polymorphic shrubs in high mountains using satellite images and deep learning.

Rohaifa Khaldi, Siham Tabik, Sergio Puertas-Ruíz, Julio Peñas de Giles, José Antonio Hódar Correa, Regino Zamora, Domingo Alcaraz-Segura

Int. J. Appl. Earth Obs. Geoinformation, 2024

2023

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

Rohaifa Khaldi, Abdellatif El Afia, Raddouane Chiheb, Siham Tabik

Expert Syst. Appl., April, 2023

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

José Rodríguez-Ortega, Rohaifa Khaldi, Domingo Alcaraz-Segura, Siham Tabik

CoRR, 2023

2022

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

Rohaifa Khaldi, Abdellatif El Afia, Raddouane Chiheb, Siham Tabik

CoRR, 2022

2019

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

Rohaifa Khaldi, Abdellatif El Afia, Raddouane Chiheb

Prog. Artif. Intell., 2019

Performance prediction of pharmaceutical suppliers: comparative study between DEA-ANFIS-PSO and DEA-ANFIS-GA.

Rohaifa Khaldi, Abdellatif El Afia, Raddouane Chiheb

Int. J. Comput. Appl. Technol., 2019

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

Rohaifa Khaldi, Abdellatif El Afia, Raddouane Chiheb

Proceedings of the BDIoT'19: The 4th International Conference On Big Data and Internet of Things, 2019

2018

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

Rohaifa Khaldi, Raddouane Chiheb, Abdellatif El Afia

Proceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications, 2018

Forecasting of Bitcoin Daily Returns with EEMD-ELMAN based Model.

Rohaifa Khaldi, Abdellatif El Afia, Raddouane Chiheb, Rdouan Faizi

Proceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications, 2018

2017

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

Rohaifa Khaldi, Raddouane Chiheb, Abdellatif El Afia, Adil Akaaboune, Rdouan Faizi

Proceedings of the 2nd international Conference on Big Data, Cloud and Applications, 2017

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

Rohaifa Khaldi, Abdellatif El Afia, Raddouane Chiheb, Rdouan Faizi

Proceedings of the 2nd international Conference on Big Data, Cloud and Applications, 2017