Ali Ben Abbes - RankMe

44 papers B 4C 8Misc 3Journal 22Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ConvLSTM-GCN-transformer: Spatiotemporal graph-attention model for vegetation index map forecasting. Expert Syst. Appl. Mohamed Chahine Bouaziz, Ali Ben Abbes, Mourad El Koundi, Imed Riadh Farah
2026	—	`conf`	HSSF-ABIDE: A Semi-Supervised Federated Framework with Heterogeneous Clients for Multi-Site fMRI. ICAART (2) Ameny Ihkaf, Faten Chaieb, Ali Ben Abbes
2026	J	`jnl`	SESAUnet: A deep attention-based segmentation model for early detection of green aphids in smart greenhouse environments. Appl. Soft Comput. Mohamed Chahine Bouaziz, Mourad El Koundi, Ali Ben Abbes, Imed Riadh Farah
2025	—	`conf`	AI and EO for Advancing Sustainable Development Goals: SmartSDGTunisia as a Case Study. JURSE Hanen Balti, Manel Rhif, Farah Chouikhi, Ali Ben Abbes, Mohamed Farah, Imed Riadh Farah
2025	J	`jnl`	An end-to-end pipeline based on a Two-Dimensional Convolutional Neural Network for monitoring desertification in Africa using remote sensing images. Environ. Model. Softw. Farah Chouikhi, Ali Ben Abbes, Imed Riadh Farah
2025	—	`conf`	Assessing the impact of climate change on desertification in Africa: A comparative analysis and projections based on CMIP6. JURSE Farah Chouikhi, Ali Ben Abbes, Manel Rhif, Imed Riadh Farah
2025	J	`jnl`	Enhancing change detection in multi-date images using a Multi-temporal Siamese Neural Network. Pattern Recognit. Lett. Farah Chouikhi, Ali Ben Abbes, Imed Riadh Farah
2025	B	`conf`	Trustworthy AI for Spatio-Temporal Forecasting via Counterfactual Causality. ICTAI Aya Ferchichi, Ali Ben Abbes, Vincent Barra, Imed Riadh Farah
2024	J	`jnl`	A Bi-GRU-based encoder-decoder framework for multivariate time series forecasting. Soft Comput. Hanen Balti, Ali Ben Abbes, Imed Riadh Farah
2024	J	`jnl`	Advances in remote sensing based soil moisture retrieval: applications, techniques, scales and challenges for combining machine learning and physical models. Artif. Intell. Rev. Ali Ben Abbes, Noureddine Jarray, Imed Riadh Farah
2024	B	`conf`	Data-Driven Forecasting of Climate Change Impacts on Vegetation for Sustainable Agriculture. KES Manel Rhif, Ali Ben Abbes, Beatriz Martínez, Imed Riadh Farah
2024	J	`jnl`	DeepWealth: A generalizable open-source deep learning framework using satellite images for well-being estimation. SoftwareX Ali Ben Abbes, Jeaneth Machicao, Pedro L. P. Corrêa, Alison Specht, Rodolphe Devillers, Jean P. Ometto, Yasuhisa Kondo, David Mouillot
2024	C	`conf`	Monitoring Desertification in Tunisia Using Modis Ecological Indicators and Machine Learning. IGARSS Farah Chouikhi, Ali Ben Abbes, Imed Riadh Farah
2024	C	`conf`	Multi-Scale Classification of Sentinel-2 Images for Land Cover Mapping Using Two-Branch Convolutional Neural Network. IGARSS Azza Abidi, Dino Ienco, Ali Ben Abbes, Imed Riadh Farah
2024	J	`jnl`	Multi-attention Generative Adversarial Network for multi-step vegetation indices forecasting using multivariate time series. Eng. Appl. Artif. Intell. Aya Ferchichi, Ali Ben Abbes, Vincent Barra, Manel Rhif, Imed Riadh Farah
2024	J	`jnl`	Orthrus: multi-scale land cover mapping from satellite image time series via 2D encoding and convolutional neural network. Neural Comput. Appl. Azza Abidi, Dino Ienco, Ali Ben Abbes, Imed Riadh Farah
2024	Misc	`conf`	TALDS: A Transfer-Active Learning-Driven Siamese Network for Bi-temporal Image Classification. ATSIP Farah Chouikhi, Ali Ben Abbes, Imed Riadh Farah
2024	—	`conf`	Toward an Intelligent Decision Support System for Environmental Application Using Earth Digital Twin. SADASC (2) Feras N. Al-Obeidat, May Al-Taee, Ali Ben Abbes
2023	J	`jnl`	Combining 2D encoding and convolutional neural network to enhance land cover mapping from Satellite Image Time Series. Eng. Appl. Artif. Intell. Azza Abidi, Dino Ienco, Ali Ben Abbes, Imed Riadh Farah
2023	J	`jnl`	Combining deep learning methods and multi-resolution analysis for drought forecasting modeling. Earth Sci. Informatics Ali Ben Abbes, Raja Inoubli, Manel Rhif, Imed Riadh Farah
2023	B	`conf`	Desertification Detection in Satellite Images Using Siamese Variational Autoencoder with Transfer Learning. ICCCI Farah Chouikhi, Ali Ben Abbes, Imed Riadh Farah
2023	J	`jnl`	Machine learning for food security: current status, challenges, and future perspectives. Artif. Intell. Rev. Noureddine Jarray, Ali Ben Abbes, Imed Riadh Farah
2023	J	`jnl`	Spatio-temporal heterogeneous graph using multivariate earth observation time series: Application for drought forecasting. Comput. Geosci. Hanen Balti, Ali Ben Abbes, Yan-Fang Sang, Nedra Mellouli, Imed Riadh Farah
2023	J	`jnl`	Veg-W2TCN: A parallel hybrid forecasting framework for non-stationary time series using wavelet and temporal convolution network model. Appl. Soft Comput. Manel Rhif, Ali Ben Abbes, Beatriz Martínez, Imed Riadh Farah
2022	—	`conf`	A Machine Learning Framework for Cereal Yield Forecasting Using Heterogeneous Data. ISDA (2) Noureddine Jarray, Ali Ben Abbes, Imed Riadh Farah
2022	J	`jnl`	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. Noureddine Jarray, Ali Ben Abbes, Imed Riadh Farah
2022	C	`conf`	Desertification Detection Based on Landsat Time-Series Images and Variational Auto-Encoder: Application in Jeffera, Tunisia. IGARSS Farah Chouikhi, Manel Rhif, Ali Ben Abbes, Imed Riadh Farah
2022	J	`jnl`	Detection of trend and seasonal changes in non-stationary remote sensing data: Case study of Tunisia vegetation dynamics. Ecol. Informatics Manel Rhif, Ali Ben Abbes, Beatriz Martínez, Rogier de Jong, Yan-Fang Sang, Imed Riadh Farah
2022	J	`jnl`	Forecasting vegetation indices from spatio-temporal remotely sensed data using deep learning-based approaches: A systematic literature review. Ecol. Informatics Aya Ferchichi, Ali Ben Abbes, Vincent Barra, Imed Riadh Farah
2022	J	`jnl`	Multidimensional architecture using a massive and heterogeneous data: Application to drought monitoring. Future Gener. Comput. Syst. Hanen Balti, Ali Ben Abbes, Nedra Mellouli, Imed Riadh Farah, Yan-Fang Sang, Myriam Lamolle
2022	J	`jnl`	SMETool: A web-based tool for soil moisture estimation based on Eo-Learn framework and Machine Learning methods. Environ. Model. Softw. Noureddine Jarray, Ali Ben Abbes, Manel Rhif, Hanen Dhaou, Mohamed Ouessar, Imed Riadh Farah
2022	C	`conf`	SmartEarthTunisia: A Benchmark for Monitoring the SDGs USING Earth Observation Data and Deep Learning Techniques In Tunisia. IGARSS Hanen Balti, Manel Rhif, Farah Chouikhi, Raja Inoubli, Azza Abidi, Noureddine Jarray, Ali Ben Abbes, Imed Riadh Farah
2021	C	`conf`	An Evaluation of Soil Moisture Retrieval Using Machine Learning Methods: Application in Arid Regions of Tunisia. IGARSS Noureddine Jarray, Ali Ben Abbes, Imed Riadh Farah
2021	B	`conf`	An Improved Forecasting Model from Satellite Imagery Based on Optimum Wavelet Bases and Adam Optimized LSTM Methods. ICCCI Manel Rhif, Ali Ben Abbes, Beatriz Martínez, Imed Riadh Farah
2021	—	`conf`	Enhancing Big Data Warehousing and Analytics for Spatio-Temporal Massive Data. ISD Hanen Balti, Nedra Mellouli, Ali Ben Abbes, Imed Riadh Farah, Yangfan Sang, Myriam Lamolle
2020	Misc	`conf`	A review of drought monitoring using remote sensing and data mining methods. ATSIP Raja Inoubli, Ali Ben Abbes, Imed Riadh Farah, Vijay Singh, Tsegaye Tadesse, Mohammad Taghi Sattari
2020	J	`jnl`	A review of drought monitoring with big data: Issues, methods, challenges and research directions. Ecol. Informatics Hanen Balti, Ali Ben Abbes, Nedra Mellouli, Imed Riadh Farah, Yan-Fang Sang, Myriam Lamolle
2020	J	`jnl`	Fused 3-D spectral-spatial deep neural networks and spectral clustering for hyperspectral image classification. Pattern Recognit. Lett. Akrem Sellami, Ali Ben Abbes, Vincent Barra, Imed Riadh Farah
2019	J	`jnl`	A non-stationary NDVI time series modelling using triplet Markov chain. Int. J. Inf. Decis. Sci. Ali Ben Abbes, Mohamed Farah, Imed Riadh Farah, Vincent Barra
2019	C	`conf`	Soil Moisture Estimation From Smap Observations Using Long Short- Term Memory (LSTM). IGARSS Ali Ben Abbes, Ramata Magagi, Kalifa Goita
2016	—	`—`	Modélisation de la non stationnarité des séries temporelles d'images satellites: Application à la prédiction des changements Ali Ben Abbes
2015	C	`conf`	Rare events detection in NDVI time-series using Jarque-Bera test. IGARSS Ali Ben Abbes, Houcine Essid, Imed Riadh Farah, Vincent Barra
2014	Misc	`conf`	A study of changes prediction by HMM with non-stationarity image data: Case of urban area. ATSIP Ali Ben Abbes, Houcine Essid, Imed Riadh Farah, Vincent Barra
2014	C	`conf`	An adaptive multiplicative decomposition of non stationary multi-temporal satellite images: Application to urban changes detection. IPAS Ali Ben Abbes, Houcine Essid, Imed Riadh Farah, Vincent Barra