Ali Ben Abbes
Orcid: 0000-0001-5714-7562Affiliations:
- Ecole Nationale des Sciences de l'Informatique, la Manouba, Tunisia
According to our database1,
Ali Ben Abbes
authored at least 26 papers
between 2014 and 2023.
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Bibliography
2023
Machine learning for food security: current status, challenges, and future perspectives.
Artif. Intell. Rev., December, 2023
Spatio-temporal heterogeneous graph using multivariate earth observation time series: Application for drought forecasting.
Comput. Geosci., October, 2023
Combining deep learning methods and multi-resolution analysis for drought forecasting modeling.
Earth Sci. Informatics, June, 2023
Veg-W2TCN: A parallel hybrid forecasting framework for non-stationary time series using wavelet and temporal convolution network model.
Appl. Soft Comput., April, 2023
Combining 2D encoding and convolutional neural network to enhance land cover mapping from Satellite Image Time Series.
Eng. Appl. Artif. Intell., 2023
Desertification Detection in Satellite Images Using Siamese Variational Autoencoder with Transfer Learning.
Proceedings of the Computational Collective Intelligence - 15th International Conference, 2023
2022
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., 2022
Multidimensional architecture using a massive and heterogeneous data: Application to drought monitoring.
Future Gener. Comput. Syst., 2022
SMETool: A web-based tool for soil moisture estimation based on Eo-Learn framework and Machine Learning methods.
Environ. Model. Softw., 2022
Detection of trend and seasonal changes in non-stationary remote sensing data: Case study of Tunisia vegetation dynamics.
Ecol. Informatics, 2022
Forecasting vegetation indices from spatio-temporal remotely sensed data using deep learning-based approaches: A systematic literature review.
Ecol. Informatics, 2022
Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022
Desertification Detection Based on Landsat Time-Series Images and Variational Auto-Encoder: Application in Jeffera, Tunisia.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
SmartEarthTunisia: A Benchmark for Monitoring the SDGs USING Earth Observation Data and Deep Learning Techniques In Tunisia.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
Proceedings of the Information Systems Development: Crossing Boundaries between Development and Operations (DevOps) in Information Systems (ISD2021 Proceedings), 2021
An Evaluation of Soil Moisture Retrieval Using Machine Learning Methods: Application in Arid Regions of Tunisia.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
An Improved Forecasting Model from Satellite Imagery Based on Optimum Wavelet Bases and Adam Optimized LSTM Methods.
Proceedings of the Computational Collective Intelligence - 13th International Conference, 2021
2020
Fused 3-D spectral-spatial deep neural networks and spectral clustering for hyperspectral image classification.
Pattern Recognit. Lett., 2020
A review of drought monitoring with big data: Issues, methods, challenges and research directions.
Ecol. Informatics, 2020
Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020
2019
Int. J. Inf. Decis. Sci., 2019
Soil Moisture Estimation From Smap Observations Using Long Short- Term Memory (LSTM).
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2016
Modélisation de la non stationnarité des séries temporelles d'images satellites: Application à la prédiction des changements
PhD thesis, 2016
2015
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
2014
An adaptive multiplicative decomposition of non stationary multi-temporal satellite images: Application to urban changes detection.
Proceedings of the International Image Processing, 2014
A study of changes prediction by HMM with non-stationarity image data: Case of urban area.
Proceedings of the 2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2014