Forecasting vegetation indices from spatio-temporal remotely sensed data using deep learning-based approaches: A systematic literature review. - Aya Ferchichi; Ali Ben Abbes; Vincent Barra; Imed Riadh Farah (Ecol. Informatics, 2022)

Multi-attention Generative Adversarial Network for multi-step vegetation indices forecasting using multivariate time series. - Aya Ferchichi; Ali Ben Abbes; Vincent Barra; Manel Rhif; Imed Riadh Farah (Eng. Appl. Artif. Intell., 2024)

Spatio-temporal modeling of climate change impacts on drought forecast using Generative Adversarial Network: A case study in Africa. - Ahlem Ferchichi; Mejda Chihaoui; Aya Ferchichi (Expert Syst. Appl., 2024)

Deep Learning-based Uncertainty Quantification for spatio-temporal environmental Remote Sensing: A systematic literature review. - Aya Ferchichi; Ahlem Ferchichi; Fatma Hendaoui; Mejda Chihaoui; Radhia Toujani (Neurocomputing, 2025)

Evidential uncertainty quantification with multiple deep learning architectures for spatiotemporal drought forecasting. - Ahlem Ferchichi; Mejda Chihaoui; Radhia Toujani; Aya Ferchichi; Fatma Hendaoui (Neural Comput. Appl., 2025)

Generating prediction clustering graph network analysis data from masked time series with GANs. - Radhia Toujani; Fatma Hendaoui; Ahlem Ferchichi; Mejda Chihaoui; Aya Ferchichi; Wided Bakari (Neural Comput. Appl., 2025)