activity
20222024
most citedWhat is the best RNN-cell structure to forecast each time series behavior?

65 citations · 71 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Exploring Social Media Image Categorization Using Large Models with Different Adaptation Methods: A Case Study on Cultural Nature's Contributions to People

Rohaifa Khaldi, Domingo Alcaraz-Segura, Ignacio Sánchez-Herrera +3

Social media images provide valuable insights for modeling, mapping, and understanding human interactions with natural and cultural heritage. However, categorizing these images int…

cs.CV2024★ 2 cited

Recognition of Harmful Phytoplankton from Microscopic Images using Deep Learning

Aymane Khaldi, Rohaifa Khaldi

Monitoring plankton distribution, particularly harmful phytoplankton, is vital for preserving aquatic ecosystems, regulating the global climate, and ensuring environmental protecti…

cs.CV2024

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

Rohaifa Khaldi, Siham Tabik, Sergio Puertas-Ruiz +4

Monitoring the distribution and size of long-living large shrubs, such as junipers, is crucial for assessing the long-term impacts of global change on high-mountain ecosystems. Whi…

cs.CV2023★ 4 cited

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 +1

Remotely sensed data are dominated by mixed Land Use and Land Cover (LULC) types. Spectral unmixing (SU) is a key technique that disentangles mixed pixels into constituent LULC typ…

cs.LG2022★ 65 cited

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

Rohaifa Khaldi, Abdellatif El Afia, Raddouane Chiheb +1

It is unquestionable that time series forecasting is of paramount importance in many fields. The most used machine learning models to address time series forecasting tasks are Recu…