An Approach based on Adaptive Decision Tree for Land Cover Change Prediction in Satellite Images. - Ahlem Ferchichi; Wadii Boulila; Imed Riadh Farah (KDIR/KMIS, 2013)

Parameter and structural model imperfection propagation using evidence theory in land cover change prediction. - Ahlem Ferchichi; Wadii Boulila; Imed Riadh Farah (IPAS, 2014)

An Intelligent Possibilistic Approach to Reduce the Effect of the Imperfection Propagation on Land Cover Change Prediction. - Ahlem Ferchichi; Wadii Boulila; Imed Riadh Farah (ICCCI (2), 2015)

Using Evidence Theory in Land Cover Change Prediction to Model Imperfection Propagation with Correlated Inputs Parameters. - Ahlem Ferchichi; Wadii Boulila; Imed Riadh Farah (IJCCI (FCTA), 2015)

Improvement of LCC Prediction Modeling Based on Correlated Parameters and Model Structure Uncertainty Propagation. - Ahlem Ferchichi; Wadii Boulila; Imed Riadh Farah (IJCCI (Selected Papers), 2015)

Propagating aleatory and epistemic uncertainty in land cover change prediction process. - Ahlem Ferchichi; Wadii Boulila; Imed Riadh Farah (Ecol. Informatics, 2017)

Towards an uncertainty reduction framework for land-cover change prediction using possibility theory. - Ahlem Ferchichi; Wadii Boulila; Imed Riadh Farah (Vietnam. J. Comput. Sci., 2017)

Propagation et réduction des incertitudes dans les modèles de changement d'occupation des sols . (Propagation and reduction uncertainty in land cover change models). - Ahlem Ferchichi (2017)

Corrigendum to "Propagating aleatory and epistemic uncertainty in land cover change prediction process" [Ecol. Inform. 37, 24-37]. - Ahlem Ferchichi; Wadii Boulila; Imed Riadh Farah (Ecol. Informatics, 2018)

Reducing uncertainties in land cover change models using sensitivity analysis. - Ahlem Ferchichi; Wadii Boulila; Imed Riadh Farah (Knowl. Inf. Syst., 2018)

An Intelligent System for Managing Uncertain Temporal Flood Events. - Manel Chehibi; Ahlem Ferchichi; Imed Riadh Farah (BELIEF, 2022)

Representing and modeling spatio-temporal uncertainty using belief function theory in flood extent mapping. - Manel Chehibi; Ahlem Ferchichi; Imed Riadh Farah (Expert Syst. Appl., 2022)

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)

Advances in deep learning intrusion detection over encrypted data with privacy preservation: a systematic review. - Fatma Hendaoui; Ahlem Ferchichi; Lamia Trabelsi; Rahma Meddeb; Rawia Ahmed; Manel Khazri Khelifi (Clust. Comput., 2024)

FLADEN: Federated Learning for Anomaly DEtection in IoT Networks. - Fatma Hendaoui; Rahma Meddeb; Lamia Trabelsi; Ahlem Ferchichi; Rawia Ahmed (Comput. Secur., 2025)

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)