Ali Ben Abbes

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 26

Top Topics

Multivariate Time Series

Machine Learning

Satellite Images

Top Venues

Ecol. Informatics

Artif. Intell. Rev.

Publications

Ali Ben Abbes, Noureddine Jarray, Imed Riadh Farah
Advances in remote sensing based soil moisture retrieval: applications, techniques, scales and challenges for combining machine learning and physical models. Artif. Intell. Rev. 57 (9) (2024)
Ali Ben Abbes, Jeaneth Machicao, Pedro L. P. Corrêa, Alison Specht, Rodolphe Devillers, Jean P. Ometto, Yasuhisa Kondo, David Mouillot
DeepWealth: A generalizable open-source deep learning framework using satellite images for well-being estimation. SoftwareX 27 (2024)
Aya Ferchichi, Ali Ben Abbes, Vincent Barra, Manel Rhif, Imed Riadh Farah
Multi-attention Generative Adversarial Network for multi-step vegetation indices forecasting using multivariate time series. Eng. Appl. Artif. Intell. 128 (2024)
Hanen Balti, Ali Ben Abbes, Imed Riadh Farah
A Bi-GRU-based encoder-decoder framework for multivariate time series forecasting. Soft Comput. 28 (9-10) (2024)
Azza Abidi, Dino Ienco, Ali Ben Abbes, Imed Riadh Farah
Combining 2D encoding and convolutional neural network to enhance land cover mapping from Satellite Image Time Series. Eng. Appl. Artif. Intell. 122 (2023)
Noureddine Jarray, Ali Ben Abbes, Imed Riadh Farah
Machine learning for food security: current status, challenges, and future perspectives. Artif. Intell. Rev. 56 (Supplement 3) (2023)
Manel Rhif, Ali Ben Abbes, Beatriz Martínez, Imed Riadh Farah
Veg-W2TCN: A parallel hybrid forecasting framework for non-stationary time series using wavelet and temporal convolution network model. Appl. Soft Comput. 137 (2023)
Hanen Balti, Ali Ben Abbes, Yan-Fang Sang, Nedra Mellouli, Imed Riadh Farah
Spatio-temporal heterogeneous graph using multivariate earth observation time series: Application for drought forecasting. Comput. Geosci. 179 (2023)
Ali Ben Abbes, Raja Inoubli, Manel Rhif, Imed Riadh Farah
Combining deep learning methods and multi-resolution analysis for drought forecasting modeling. Earth Sci. Informatics 16 (2) (2023)
Farah Chouikhi, Ali Ben Abbes, Imed Riadh Farah
Desertification Detection in Satellite Images Using Siamese Variational Autoencoder with Transfer Learning. ICCCI (2023)
Noureddine Jarray, Ali Ben Abbes, Imed Riadh Farah
A Novel Teacher-Student Framework for Soil Moisture Retrieval by Combining Sentinel-1 and Sentinel-2: Application in Arid Regions. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Aya Ferchichi, Ali Ben Abbes, Vincent Barra, Imed Riadh Farah
Forecasting vegetation indices from spatio-temporal remotely sensed data using deep learning-based approaches: A systematic literature review. Ecol. Informatics 68 (2022)
Hanen Balti, Manel Rhif, Farah Chouikhi, Raja Inoubli, Azza Abidi, Noureddine Jarray, Ali Ben Abbes, Imed Riadh Farah
SmartEarthTunisia: A Benchmark for Monitoring the SDGs USING Earth Observation Data and Deep Learning Techniques In Tunisia. IGARSS (2022)
Farah Chouikhi, Manel Rhif, Ali Ben Abbes, Imed Riadh Farah
Desertification Detection Based on Landsat Time-Series Images and Variational Auto-Encoder: Application in Jeffera, Tunisia. IGARSS (2022)
Noureddine Jarray, Ali Ben Abbes, Manel Rhif, Hanen Dhaou, Mohamed Ouessar, Imed Riadh Farah
SMETool: A web-based tool for soil moisture estimation based on Eo-Learn framework and Machine Learning methods. Environ. Model. Softw. 157 (2022)
Noureddine Jarray, Ali Ben Abbes, Imed Riadh Farah
A Machine Learning Framework for Cereal Yield Forecasting Using Heterogeneous Data. ISDA (2) (2022)
Manel Rhif, Ali Ben Abbes, Beatriz Martínez, Rogier de Jong, Yan-Fang Sang, Imed Riadh Farah
Detection of trend and seasonal changes in non-stationary remote sensing data: Case study of Tunisia vegetation dynamics. Ecol. Informatics 69 (2022)
Hanen Balti, Ali Ben Abbes, Nedra Mellouli, Imed Riadh Farah, Yan-Fang Sang, Myriam Lamolle
Multidimensional architecture using a massive and heterogeneous data: Application to drought monitoring. Future Gener. Comput. Syst. 136 (2022)
Noureddine Jarray, Ali Ben Abbes, Imed Riadh Farah
An Evaluation of Soil Moisture Retrieval Using Machine Learning Methods: Application in Arid Regions of Tunisia. IGARSS (2021)
Hanen Balti, Nedra Mellouli, Ali Ben Abbes, Imed Riadh Farah, Yangfan Sang, Myriam Lamolle
Enhancing Big Data Warehousing and Analytics for Spatio-Temporal Massive Data. ISD (2021)
Manel Rhif, Ali Ben Abbes, Beatriz Martínez, Imed Riadh Farah
An Improved Forecasting Model from Satellite Imagery Based on Optimum Wavelet Bases and Adam Optimized LSTM Methods. ICCCI (2021)
Hanen Balti, Ali Ben Abbes, Nedra Mellouli, Imed Riadh Farah, Yan-Fang Sang, Myriam Lamolle
A review of drought monitoring with big data: Issues, methods, challenges and research directions. Ecol. Informatics 60 (2020)
Akrem Sellami, Ali Ben Abbes, Vincent Barra, Imed Riadh Farah
Fused 3-D spectral-spatial deep neural networks and spectral clustering for hyperspectral image classification. Pattern Recognit. Lett. 138 (2020)
Raja Inoubli, Ali Ben Abbes, Imed Riadh Farah, Vijay Singh, Tsegaye Tadesse, Mohammad Taghi Sattari
A review of drought monitoring using remote sensing and data mining methods. ATSIP (2020)
Ali Ben Abbes, Ramata Magagi, Kalifa Goita
Soil Moisture Estimation From Smap Observations Using Long Short- Term Memory (LSTM). IGARSS (2019)
Ali Ben Abbes, Mohamed Farah, Imed Riadh Farah, Vincent Barra
A non-stationary NDVI time series modelling using triplet Markov chain. Int. J. Inf. Decis. Sci. 11 (2) (2019)
Ali Ben Abbes, Houcine Essid, Imed Riadh Farah, Vincent Barra
Rare events detection in NDVI time-series using Jarque-Bera test. IGARSS (2015)
Ali Ben Abbes, Houcine Essid, Imed Riadh Farah, Vincent Barra
A study of changes prediction by HMM with non-stationarity image data: Case of urban area. ATSIP (2014)
Ali Ben Abbes, Houcine Essid, Imed Riadh Farah, Vincent Barra
An adaptive multiplicative decomposition of non stationary multi-temporal satellite images: Application to urban changes detection. IPAS (2014)