| A review of drought monitoring with big data: Issues, methods, challenges and research directions H Balti, AB Abbes, N Mellouli, IR Farah, Y Sang, M Lamolle Ecological Informatics 60, 101136, 2020 | 72 | 2020 |
| Multidimensional architecture using a massive and heterogeneous data: Application to drought monitoring H Balti, AB Abbes, N Mellouli, IR Farah, Y Sang, M Lamolle Future Generation Computer Systems 136, 1-14, 2022 | 11 | 2022 |
| Big data based architecture for drought forecasting using LSTM, ARIMA, and Prophet: Case study of the Jiangsu Province, China H Balti, AB Abbes, N Mellouli, Y Sang, IR Farah, M Lamolle, Y Zhu 2021 International Congress of Advanced Technology and Engineering (ICOTEN), 1-8, 2021 | 10 | 2021 |
| A big remote sensing data analysis using deep learning framework H Balti, I Chebbi, N Mellouli, IR Farah, M Lamolle International Conference Big Data Analytics, Data Mining and Computational …, 2019 | 5 | 2019 |
| Enhancing big data warehousing and analytics for spatio-temporal massive data H Balti, N Mellouli, A Ben Abbes, IR Farah, Y Sang, M Lamolle | 3 | 2021 |
| Deep Semantic Feature Detection from Multispectral Satellite Images. H Balti, N Mellouli, I Chebbi, IR Farah, M Lamolle KDIR, 458-466, 2019 | 3 | 2019 |
| A Bi-GRU-based encoder–decoder framework for multivariate time series forecasting H Balti, A Ben Abbes, IR Farah Soft Computing, 1-12, 2024 | 1 | 2024 |
| Spatio-temporal heterogeneous graph using multivariate earth observation time series: Application for drought forecasting H Balti, AB Abbes, Y Sang, N Mellouli, IR Farah Computers & Geosciences 179, 105435, 2023 | 1 | 2023 |
| SmartEarthTunisia: A Benchmark for Monitoring the SDGs USING Earth Observation Data and Deep Learning Techniques In Tunisia H Balti, M Rhif, F Chouikhi, R Inoubli, A Abidi, N Jarray, A ben Abbes, ... IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | | 2022 |
Ali Ben AbbesUniversité de SherbrookeVerified email at usherbrooke.ca
