| Wavelet transform application for/in non-stationary time-series analysis: A review M Rhif, A Ben Abbes, IR Farah, B Martínez, Y Sang Applied Sciences 9 (7), 1345, 2019 | 393 | 2019 |
| 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 |
| Fused 3-D spectral-spatial deep neural networks and spectral clustering for hyperspectral image classification A Sellami, AB Abbes, V Barra, IR Farah Pattern Recognition Letters 138, 594-600, 2020 | 61 | 2020 |
| Comparative study of three satellite image time-series decomposition methods for vegetation change detection A Ben Abbes, O Bounouh, IR Farah, R de Jong, B Martínez European Journal of Remote Sensing 51 (1), 607-615, 2018 | 60 | 2018 |
| Forecasting vegetation indices from spatio-temporal remotely sensed data using deep learning-based approaches: A systematic literature review A Ferchichi, AB Abbes, V Barra, IR Farah Ecological Informatics 68, 101552, 2022 | 56 | 2022 |
| Non-stationary and unequally spaced NDVI time series analyses by the LSWAVE software E Ghaderpour, A Ben Abbes, M Rhif, SD Pagiatakis, IR Farah International journal of remote sensing 41 (6), 2374-2390, 2020 | 36 | 2020 |
| An improved trend vegetation analysis for non-stationary NDVI time series based on wavelet transform M Rhif, A Ben Abbes, B Martinez, IR Farah Environmental Science and Pollution Research 28 (34), 46603-46613, 2021 | 22 | 2021 |
| A deep learning approach for forecasting non-stationary big remote sensing time series M Rhif, AB Abbes, B Martinez, IR Farah Arabian Journal of Geosciences 13 (22), 1-11, 2020 | 16 | 2020 |
| A review of drought monitoring using remote sensing and data mining methods R Inoubli, AB Abbes, IR Farah, V Singh, T Tadesse, MT Sattari 2020 5th International Conference on Advanced Technologies for Signal and …, 2020 | 16 | 2020 |
| Soil moisture estimation from smap observations using long short-term memory (lstm) AB Abbes, R Magagi, K Goita IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 16 | 2019 |
| Deep learning models performance for NDVI time series prediction: a case study on north west Tunisia M Rhif, AB Abbes, B Martínez, IR Farah 2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium …, 2020 | 14 | 2020 |
| Detection of trend and seasonal changes in non-stationary remote sensing data: Case study of Tunisia vegetation dynamics M Rhif, AB Abbes, B Martinez, R de Jong, Y Sang, IR Farah Ecological Informatics 69, 101596, 2022 | 12 | 2022 |
| Combining 2D encoding and convolutional neural network to enhance land cover mapping from Satellite Image Time Series A Abidi, D Ienco, AB Abbes, IR Farah Engineering Applications of Artificial Intelligence 122, 106152, 2023 | 11 | 2023 |
| Multidimensional Architecture using a Massive and Heterogeneous Data: Application to Drought Monitoring H Balti, A Ben Abbes, N Mellouli, IR Farah, Y Sang, M Lamolle Future Generation Computer Systems 135, 1-15, 2022 | 11 | 2022 |
| Spatio-temporal modeling based on hidden Markov model for object tracking in satellite imagery H Essid, AB Abbes, IR Farah, V Barra 2012 6th International Conference on Sciences of Electronics, Technologies …, 2012 | 11 | 2012 |
| 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 |
| Unsupervised self-training method based on deep learning for soil moisture estimation using synergy of sentinel-1 and sentinel-2 images A Ben Abbes, N Jarray International Journal of Image and Data Fusion 14 (1), 1-14, 2023 | 9 | 2023 |
| Prediction changes for nonstationary multi-temporal satellite images using HMM AB Abbes, IR Farah Handbook of Research on Geographic Information Systems Applications and …, 2017 | 9 | 2017 |
| Handbook of research on geographic information systems applications and advancements S Faiz, K Mahmoudi IGI Global, 2016 | 9 | 2016 |
| Veg-W2TCN: A parallel hybrid forecasting framework for non-stationary time series using wavelet and temporal convolution network model M Rhif, AB Abbes, B Martinez, IR Farah Applied Soft Computing, 110172, 2023 | 8 | 2023 |
IMED RIADH FARAHProfesseur en informatique, université UMAVerified email at mse.uma.tn
