Deep Semantic Feature Detection from Multispectral Satellite Images. - Hanen Balti; Nedra Mellouli; Imen Chebbi; Imed Riadh Farah; Myriam Lamolle (KDIR, 2019)

A review of drought monitoring with big data: Issues, methods, challenges and research directions. - Hanen Balti; Ali Ben Abbes; Nedra Mellouli; Imed Riadh Farah; Yan-Fang Sang; Myriam Lamolle (Ecol. Informatics, 2020)

Enhancing Big Data Warehousing and Analytics for Spatio-Temporal Massive Data. - Hanen Balti; Nedra Mellouli; Ali Ben Abbes; Imed Riadh Farah; Yangfan Sang; Myriam Lamolle (ISD, 2021)

SmartEarthTunisia: A Benchmark for Monitoring the SDGs USING Earth Observation Data and Deep Learning Techniques In Tunisia. - Hanen Balti; Manel Rhif; Farah Chouikhi; Raja Inoubli; Azza Abidi; Noureddine Jarray; Ali Ben Abbes; Imed Riadh Farah (IGARSS, 2022)

Multidimensional architecture using a massive and heterogeneous data: Application to drought monitoring. - Hanen Balti; Ali Ben Abbes; Nedra Mellouli; Imed Riadh Farah; Yan-Fang Sang; Myriam Lamolle (Future Gener. Comput. Syst., 2022)

Spatio-temporal heterogeneous graph using multivariate earth observation time series: Application for drought forecasting. - Hanen Balti; Ali Ben Abbes; Yan-Fang Sang; Nedra Mellouli; Imed Riadh Farah (Comput. Geosci., 2023)

A Bi-GRU-based encoder-decoder framework for multivariate time series forecasting. - Hanen Balti; Ali Ben Abbes; Imed Riadh Farah (Soft Comput., 2024)

AI and EO for Advancing Sustainable Development Goals: SmartSDGTunisia as a Case Study. - Hanen Balti; Manel Rhif; Farah Chouikhi; Ali Ben Abbes; Mohamed Farah 001; Imed Riadh Farah (JURSE, 2025)