Publicacións (13) Publicacións de ROHAIFA KHALDI Ver datos de investigación referenciados.

2024

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

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 17, pp. 4626-4645

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

    International Journal of Applied Earth Observation and Geoinformation, Vol. 134

2023

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

    Expert Systems with Applications, Vol. 215

2022

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

    Scientific Data

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

    Earth System Science Data

2019

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

    Progress in Artificial Intelligence, Vol. 8, Núm. 4, pp. 511-523

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

    SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING IN DATA SCIENCES (ICDS2018)

  3. Impact of multistep forecasting strategies on recurrent neural networks performance for short and long horizons

    ACM International Conference Proceeding Series

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

    International Journal of Computer Applications in Technology, Vol. 60, Núm. 4, pp. 317-325

2018

  1. Feedforward and recurrent neural networks for time series forecasting: Comparative study

    ACM International Conference Proceeding Series

  2. Forecasting of bitcoin daily returns with eemd-elman based model

    ACM International Conference Proceeding Series

2017

  1. Artificial neural network based approach for blood demand forecasting: Fez transfusion blood center case study

    ACM International Conference Proceeding Series

  2. Prediction of supplier performance: A novel DEA-ANFIS based approach

    ACM International Conference Proceeding Series