Satellite image analysis based on the method of blind separation of sources for the extraction of information. - Imed Riadh Farah; Mohamed Ben Ahmed (IGARSS, 2002)

Multispectral satellite image analysis based on the method of blind separation and fusion of sources. - Imed Riadh Farah; Mohamed Ben Ahmed; Mohamed Rached Boussema (IGARSS, 2003)

Analysing spatial-temporal data based on generic GIS. - Ines Hamdi; Imed Riadh Farah; Mohmed B. Ahmed (AICCSA, 2005)

Analyzing and Dynamic Modeling of Molecular Interactions Networks Based on Multi-agent Systems. - Ines Hamdi; Imed Riadh Farah; Mohamed Ben Ahmed (BIOCOMP, 2007)

Toward a semi-automatic interpretation of scenes issued from multisensor satellite images. - Karim Saheb Ettabaâ; Imed Riadh Farah; Mohamed Ben Ahmed; Soulaiman Bassel (IGARSS, 2007)

Toward a Multi-temporal Approach for Satellite Image Interpretation. - Karim Saheb Ettabaâ; Imed Riadh Farah; Soulaimen Basel; Mohamed Ben Ahmed (Int. Arab J. Inf. Technol., 2008)

Multiapproach System Based on Fusion of Multispectral Images for Land-Cover Classification. - Imed Riadh Farah; Wadii Boulila; Karim Saheb Ettabaâ; Mohamed Ben Ahmed (IEEE Trans. Geosci. Remote. Sens., 2008)

Interpretation of Multisensor Remote Sensing Images: Multiapproach Fusion of Uncertain Information. - Imed Riadh Farah; Wadii Boulila; Karim Saheb Ettabaâ; Basel Solaiman; Mohamed Ben Ahmed (IEEE Trans. Geosci. Remote. Sens., 2008)

Spatio-Temporal Modeling for Knowledge Discovery in Satellite Image Databases. - Wadii Boulila; Imed Riadh Farah; Karim Saheb Ettabaâ; Basel Solaiman; Henda Ben Ghézala (CORIA, 2010)

A data mining based approach to predict spatiotemporal changes in satellite images. - Wadii Boulila; Imed Riadh Farah; Karim Saheb Ettabaâ; Basel Solaiman; Henda Ben Ghézala (Int. J. Appl. Earth Obs. Geoinformation, 2011)

Multi-Approach Satellite Images Fusion Based on Blind Sources Separation. - Wadii Boulila; Imed Riadh Farah (Int. J. Image Graph., 2011)

Combining Decision Fusion and Uncertainty Propagation to Improve Land Cover Change Prediction in Satellite Image Databases. - Wadii Boulila; Imed Riadh Farah; Karim Saheb Ettabaâ; Basel Solaiman (J. Multim. Process. Technol., 2011)

A New Method to Change Illumination Effect Reduction Based on Spectral Angle Constraint for Hyperspectral Image Unmixing. - Zouhaier Ben Rabah; Imed Riadh Farah; Grégoire Mercier; Basel Solaiman (IEEE Geosci. Remote. Sens. Lett., 2011)

A robust Evidential Fisher Discriminant for multi-temporal hyperspectral images classification. - Selim Hemissi; Imed Riadh Farah; Karim Saheb Ettabaâ; Basel Solaiman (IGARSS, 2012)

High level adaptive fusion approach: application to land cover change prediction in satellite image databases. - Wadii Boulila; Karim Saheb Ettabaâ; Imed Riadh Farah; Basel Solaiman (SAC, 2012)

An Approach based on Adaptive Decision Tree for Land Cover Change Prediction in Satellite Images. - Ahlem Ferchichi; Wadii Boulila; Imed Riadh Farah (KDIR/KMIS, 2013)

A Multi-features Fusion of Multi-temporal Hyperspectral Images using a Cooperative GDD/SVM Method. - Selim Hemissi; Imed Riadh Farah (ICPRAM, 2013)

A data-noise tolerant method for multi-temporal hyperspectral images classification. - Selim Hemissi; Imed Riadh Farah (WHISPERS, 2013)

Multi-Spectro-Temporal Analysis of Hyperspectral Imagery Based on 3-D Spectral Modeling and Multilinear Algebra. - Selim Hemissi; Imed Riadh Farah; Karim Saheb Ettabaâ; Basel Solaiman (IEEE Trans. Geosci. Remote. Sens., 2013)

A study of changes prediction by HMM with non-stationarity image data: Case of urban area. - Ali Ben Abbes; Houcine Essid; Imed Riadh Farah; Vincent Barra (ATSIP, 2014)

A new ontology for semantic annotation of remotely sensed images. - Wassim Messaoudi; Imed Riadh Farah; Basel Solaiman (ATSIP, 2014)

A critical analysis of lifecycles and methods for ontology construction and evaluation. - Hafed Nefzi; Mohamed Farah 001; Imed Riadh Farah; Basel Solaiman (ATSIP, 2014)

A Semi-automatic Mapping Selection in the Ontology Alignment Process. - Hafed Nefzi; Mohamed Farah 001; Imed Riadh Farah; Basel Solaiman (KEOD, 2014)

An Approach for Imperfection Propagation: Application to Land Cover Change Prediction. - Amine Bouatay; Wadii Boulila; Imed Riadh Farah (ICAISC (1), 2014)

An adaptive multiplicative decomposition of non stationary multi-temporal satellite images: Application to urban changes detection. - Ali Ben Abbes; Houcine Essid; Imed Riadh Farah; Vincent Barra (IPAS, 2014)

Uncertainty heuristics of large margin active learning for hyperspectral image classification. - Ines Ben Slimene Ben Amor; Nesrine Chehata; Imed Riadh Farah; Philippe Lagacherie (IPAS, 2014)

Parameter and structural model imperfection propagation using evidence theory in land cover change prediction. - Ahlem Ferchichi; Wadii Boulila; Imed Riadh Farah (IPAS, 2014)

Multi-resolution and multi-spectral analysis for satellite images classification with fuzzy spatial relationships. - B. Mselmi; Zouhaier Ben Rabah; Imed Riadh Farah; Basel Solaiman (IPAS, 2014)

Towards a new ontology matching approach based on multi-criteria analysis methods. - Hafedh Nefzi; Mohamed Farah 001; Imed Riadh Farah; Basel Solaiman (IPAS, 2014)

Interpretation of hyperspectral imagery based on hybrid dimensionality reduction methods. - Akrem Sellami; Karim Saheb Ettabaâ; Imed Riadh Farah; Basel Solaiman (IPAS, 2014)

A Probabilistic Collocation Method for the Imperfection Propagation: Application to Land Cover Change Prediction. - Wadii Boulila; Amine Bouatay; Imed Riadh Farah (J. Multim. Process. Technol., 2014)

A Multi-level Ontological Approach for Change Monitoring in Remotely Sensed Imagery. - Fethi Ghazouani; Wassim Messaoudi; Imed Riadh Farah (KEOD, 2015)

Big Data: Concepts, Challenges and Applications. - Imen Chebbi; Wadii Boulila; Imed Riadh Farah (ICCCI (2), 2015)

An Intelligent Possibilistic Approach to Reduce the Effect of the Imperfection Propagation on Land Cover Change Prediction. - Ahlem Ferchichi; Wadii Boulila; Imed Riadh Farah (ICCCI (2), 2015)

Rare events detection in NDVI time-series using Jarque-Bera test. - Ali Ben Abbes; Houcine Essid; Imed Riadh Farah; Vincent Barra (IGARSS, 2015)

Can we automatically choose best uncertainty heuristics for large margin active learning? - Ines Ben Slimene Ben Amor; Nesrine Chehata; Philippe Lagacherie; Jean-Stéphane Bailly; Imed Riadh Farah (IGARSS, 2015)

Using Evidence Theory in Land Cover Change Prediction to Model Imperfection Propagation with Correlated Inputs Parameters. - Ahlem Ferchichi; Wadii Boulila; Imed Riadh Farah (IJCCI (FCTA), 2015)

Improvement of LCC Prediction Modeling Based on Correlated Parameters and Model Structure Uncertainty Propagation. - Ahlem Ferchichi; Wadii Boulila; Imed Riadh Farah (IJCCI (Selected Papers), 2015)

An improved classification of hyperspectral imaging based on spectral signature and gray level co-occurrence matrix. - Fedia Ghedass; Imed Riadh Farah (SAGEO, 2015)

Graph of visual words for semantic annotation of remote sensing images. - Mohamed Farah 001; Khitem Amiri; Imed Riadh Farah (ATSIP, 2016)

Sensitivity analysis of land cover change prediction model in the presence of aleatory and epistemic imperfection. - Zouhayra Ayadi; Wadii Boulila; Imed Riadh Farah (ATSIP, 2016)

Improvement of satellite image classification: Approach based on Hadoop/MapReduce. - Imen Chebbi; Wadii Boulila; Imed Riadh Farah (ATSIP, 2016)

Towards an ontological conceptualization for understanding the dynamics of spatio-temporal objects. - Fethi Ghazouani; Wassim Messaoudi; Imed Riadh Farah (ATSIP, 2016)

On the effects of vegetation on radar backscattering. - Ibtissem Hosni; Lilia Bennaceur Farah; Saber Mohamed Naceur; Imed Riadh Farah (ATSIP, 2016)

Super-resolution algorithm based on sub-pixels spatial Correlation for hyperspectral image classification. - Bouthayna Msellmi; Zouhaier Ben Rabah; Imed Riadh Farah (ATSIP, 2016)

Evaluation and predictability of water erosion based on spectral information analysis. - Zouhaier Ben Rabah; Imed Riadh Farah (ATSIP, 2016)

A similarity-based framework for the alignment of an ontology for remote sensing. - Mohamed Farah 001; Hafed Nefzi; Imed Riadh Farah (Comput. Geosci., 2016)

Fuzzy hypergraph of concepts for semantic annotation of remotely sensed images. - Khitem Amiri; Mohamed Farah 001; Imed Riadh Farah (ATSIP, 2017)

Rate invariant action recognition in Lie algebra. - Malek Boujebli; Hassen Drira; Makram Mestiri; Imed Riadh Farah (ATSIP, 2017)

Prediction of land use/land cover change methods: A study. - Oumayma Bounouh; Houcine Essid; Imed Riadh Farah (ATSIP, 2017)

Propagating aleatory and epistemic uncertainty in land cover change prediction process. - Ahlem Ferchichi; Wadii Boulila; Imed Riadh Farah (Ecol. Informatics, 2017)

Sensitivity analysis approach to model epistemic and aleatory imperfection: Application to Land Cover Change prediction model. - Wadii Boulila; Zouhayra Ayadi; Imed Riadh Farah (J. Comput. Sci., 2017)

Towards an uncertainty reduction framework for land-cover change prediction using possibility theory. - Ahlem Ferchichi; Wadii Boulila; Imed Riadh Farah (Vietnam. J. Comput. Sci., 2017)

A comparison of big remote sensing data processing with Hadoop MapReduce and Spark. - Imen Chebbi; Wadii Boulila; Nedra Mellouli; Myriam Lamolle; Imed Riadh Farah (ATSIP, 2018)

Qualitative semantic spatio-temporal reasoning based on description logics for modeling dynamics of spatio-temporal objects in satellite images. - Fethi Ghazouani; Imed Riadh Farah; Basel Solaiman (ATSIP, 2018)

Performance investigation of selected NoSQL databases for massive remote sensing image data storage. - Yosra Hajjaji; Imed Riadh Farah (ATSIP, 2018)

An adaptive semantic dimensionality reduction approach for hyperspectral imagery classification. - Rawaa Hamdi; Akrem Sellami; Imed Riadh Farah (ATSIP, 2018)

Action Recognition from 3D Skeleton Sequences using Deep Networks on Lie Group Features. - Manel Rhif; Hazem Wannous; Imed Riadh Farah (ICPR, 2018)

A GRAPH BASED MODEL FOR SUB-PIXEL OBJECTS RECOGNITION. - Bouthayna Msellmi; Zouhaier Ben Rabah; Imed Riadh Farah (IGARSS, 2018)

Designing Human Brain Interface Model for Interactive Cognitive Learning in an Immersive System with Neurofeedback. - Khadhar Meriem; Mestiri Makram; Imed Riadh Farah (IEEE Conf. on Intelligent Systems, 2018)

Virtual and Augmented Reality in the Valuation of the Tunisian Cultural Heritage: Application to Thysdrus (ElJem) Amphitheater. - Khadhar Meriem; Mestiri Makram; Imed Riadh Farah (IEEE Conf. on Intelligent Systems, 2018)

Corrigendum to "Propagating aleatory and epistemic uncertainty in land cover change prediction process" [Ecol. Inform. 37, 24-37]. - Ahlem Ferchichi; Wadii Boulila; Imed Riadh Farah (Ecol. Informatics, 2018)

A novel decision support system for the interpretation of remote sensing big data. - Wadii Boulila; Imed Riadh Farah; Amir Hussain 001 (Earth Sci. Informatics, 2018)

Reducing uncertainties in land cover change models using sensitivity analysis. - Ahlem Ferchichi; Wadii Boulila; Imed Riadh Farah (Knowl. Inf. Syst., 2018)

Parcel-Based Active Learning for Large Extent Cultivated Area Mapping. - Ines Ben Slimene Ben Amor; Nesrine Chehata; Jean-Stéphane Bailly; Imed Riadh Farah; Philippe Lagacherie (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Hyperspectral Imagery Semantic Interpretation Based on Adaptive Constrained Band Selection and Knowledge Extraction Techniques. - Akrem Sellami; Mohamed Farah 001; Imed Riadh Farah; Basel Solaiman (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Deep Semantic Feature Detection from Multispectral Satellite Images. - Hanen Balti; Nedra Mellouli; Imen Chebbi; Imed Riadh Farah; Myriam Lamolle (KDIR, 2019)

Deep Learning Analysis for Big Remote Sensing Image Classification. - Imen Chebbi; Nedra Mellouli; Myriam Lamolle; Imed Riadh Farah (KDIR, 2019)

Isotropic Total Variation Minimization for Sub-Pixel Mapping. - Bouthayna Msellmi; Daniele Picone; Mauro Dalla Mura; Zouhaier Ben Rabah; Imed Riadh Farah (IGARSS, 2019)

Piecewise Horizontal 3D Roof Reconstruction from Aerial Lidar. - Slim Namouchi; Bruno Vallet; Imed Riadh Farah; Haythem Ismail (IGARSS, 2019)

Hyperspectral imagery classification based on semi-supervised 3-D deep neural network and adaptive band selection. - Akrem Sellami; Mohamed Farah 001; Imed Riadh Farah; Basel Solaiman (Expert Syst. Appl., 2019)

A non-stationary NDVI time series modelling using triplet Markov chain. - Ali Ben Abbes; Mohamed Farah 001; Imed Riadh Farah; Vincent Barra (Int. J. Inf. Decis. Sci., 2019)

Fuzzy Spatio-Spectro-Temporal Ontology for Remote Sensing Image Annotation and Interpretation: Application to Natural Risks Assessment. - Wassim Messaoudi; Mohamed Farah 001; Imed Riadh Farah (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2019)

Remote Sensing Scene Classification Using Convolutional Features and Deep Forest Classifier. - Yaakoub Boualleg; Mohamed Farah 001; Imed Riadh Farah (IEEE Geosci. Remote. Sens. Lett., 2019)

A Multi-Level Semantic Scene Interpretation Strategy for Change Interpretation in Remote Sensing Imagery. - Fethi Ghazouani; Imed Riadh Farah; Basel Solaiman (IEEE Trans. Geosci. Remote. Sens., 2019)

Suspicious Local Event Detection in Social Media and Remote Sensing: Towards a Geosocial Dataset Construction. - Marwen Bouabid; Mohamed Farah 001; Imed Riadh Farah (ATSIP, 2020)

Case-Based Reasoning: Problems And Importance Of Similarity Measure. - Ikram Chourib; Gwenaël Guillard; Makram Mestiri; Basel Solaiman; Imed Riadh Farah (ATSIP, 2020)

A review of drought monitoring using remote sensing and data mining methods. - Raja Inoubli; Ali Ben Abbes; Imed Riadh Farah; Vijay Singh; Tsegaye Tadesse; Mohammad Taghi Sattari (ATSIP, 2020)

Soil salinity prediction using a machine learning approach through hyperspectral satellite image. - Salim Klibi; Kais Tounsi; Zouhaier Ben Rabah; Basel Solaiman; Imed Riadh Farah (ATSIP, 2020)

Sub-pixel Mapping Method based on Total Variation Minimization and Spectral Dictionary. - Bouthayna Msellmi; Daniele Picone; Zouhaier Ben Rabah; Mauro Dalla Mura; Imed Riadh Farah (ATSIP, 2020)

Sub-Pixel Mapping Method Based on K-SVD Dictionary Learning and Total Variation Minimization. - Bouthayna Msellmi; Daniele Picone; Zouhaier Ben Rabah; Mauro Dalla Mura; Imed Riadh Farah (IGARSS, 2020)

A review of drought monitoring with big data: Issues, methods, challenges and research directions. - Hanen Balti; Ali Ben Abbes; Nedra Mellouli; Imed Riadh Farah; Yan-Fang Sang; Myriam Lamolle (Ecol. Informatics, 2020)

Fused 3-D spectral-spatial deep neural networks and spectral clustering for hyperspectral image classification. - Akrem Sellami; Ali Ben Abbes; Vincent Barra; Imed Riadh Farah (Pattern Recognit. Lett., 2020)

BS-GAENets: Brain-Spatial Feature Learning Via a Graph Deep Autoencoder for Multi-modal Neuroimaging Analysis. - Refka Hanachi; Akrem Sellami; Imed Riadh Farah (VISIGRAPP (Revised Selected Papers), 2021)

An Improved Forecasting Model from Satellite Imagery Based on Optimum Wavelet Bases and Adam Optimized LSTM Methods. - Manel Rhif; Ali Ben Abbes; Beatriz Martínez 001; Imed Riadh Farah (ICCCI, 2021)

An Evaluation of Soil Moisture Retrieval Using Machine Learning Methods: Application in Arid Regions of Tunisia. - Noureddine Jarray; Ali Ben Abbes; Imed Riadh Farah (IGARSS, 2021)

Enhancing Big Data Warehousing and Analytics for Spatio-Temporal Massive Data. - Hanen Balti; Nedra Mellouli; Ali Ben Abbes; Imed Riadh Farah; Yangfan Sang; Myriam Lamolle (ISD, 2021)

A Hybrid APM-CPGSO Approach for Constraint Satisfaction Problem Solving: Application to Remote Sensing. - Zouhayra Ayadi; Wadii Boulila; Imed Riadh Farah (KES, 2021)

An improved tile-based scalable distributed management model of massive high-resolution satellite images. - Yosra Hajjaji; Wadii Boulila; Imed Riadh Farah (KES, 2021)

Interpretation of Human Behavior from Multi-modal Brain MRI Images based on Graph Deep Neural Networks and Attention Mechanism. - Refka Hanachi; Akrem Sellami; Imed Riadh Farah (VISIGRAPP (4: VISAPP), 2021)

Big Remote Sensing Image Classification Based on Deep Learning Extraction Features and Distributed Spark Frameworks. - Imen Chebbi; Nedra Mellouli; Imed Riadh Farah; Myriam Lamolle (Big Data Cogn. Comput., 2021)

Big data and IoT-based applications in smart environments: A systematic review. - Yosra Hajjaji; Wadii Boulila; Imed Riadh Farah; Imed Romdhani; Amir Hussain 001 (Comput. Sci. Rev., 2021)

Sub-Pixel Mapping Model Based on Total Variation Regularization and Learned Spatial Dictionary. - Bouthayna Msellmi; Daniele Picone; Zouhaier Ben Rabah; Mauro Dalla Mura; Imed Riadh Farah (Remote. Sens., 2021)

A deep learning approach based on morphological profiles for Hyperspectral Image unmixing. - Mariem Ayed; Refka Hanachi; Akrem Sellami; Imed Riadh Farah; Mauro Dalla Mura (ATSIP, 2022)

Structured Case Base Knowledge using Unsupervised Learning. - Ikram Chourib; Gwenaël Guillard; Imed Riadh Farah; Basel Solaiman (ATSIP, 2022)

Model Based Anomaly Detection in High Dimensional DATA. - Imen Gatfaoui; Basel Solaiman; Imed Riadh Farah (ATSIP, 2022)

Improving Smart City Frameworks based on Enterprise Architecture with territorial governance to manage covid -19 crisis. - Mohamed Sahbi Landolsi; Yemna Sayeb; Wajih Krimi; Imed Riadh El Farah (ATSIP, 2022)

Hypothetical reasoning method based on hypothetical cases. - Wissal Ben Marzouka; Basel Solaiman; Mohamed Farah 001; Imed Riadh Farah (ATSIP, 2022)

An Intelligent System for Managing Uncertain Temporal Flood Events. - Manel Chehibi; Ahlem Ferchichi; Imed Riadh Farah (BELIEF, 2022)

Transformers-based time series forecasting for piezometric level prediction. - Nedra Mellouli; Mohamed Louay Rabah; Imed Riadh Farah (EAIS, 2022)

Modèle de prédiction de niveau piézométrique basé sur Transformers. - Mohamed Louay Rabah; Nedra Mellouli; Imed Riadh Farah (EGC, 2022)

SmartEarthTunisia: A Benchmark for Monitoring the SDGs USING Earth Observation Data and Deep Learning Techniques In Tunisia. - Hanen Balti; Manel Rhif; Farah Chouikhi; Raja Inoubli; Azza Abidi; Noureddine Jarray; Ali Ben Abbes; Imed Riadh Farah (IGARSS, 2022)

Novel Method for Combining NDVI Time Series Forecasting Models. - Oumayma Bounouh; Ana Maria Tarquis; Imed Riadh Farah (IGARSS, 2022)

Desertification Detection Based on Landsat Time-Series Images and Variational Auto-Encoder: Application in Jeffera, Tunisia. - Farah Chouikhi; Manel Rhif; Ali Ben Abbes; Imed Riadh Farah (IGARSS, 2022)

A Machine Learning Framework for Cereal Yield Forecasting Using Heterogeneous Data. - Noureddine Jarray; Ali Ben Abbes; Imed Riadh Farah (ISDA (2), 2022)

Leveraging Artificial Intelligence Techniques for Smart Palm Tree Detection: A Decade Systematic Review. - Yosra Hajjaji; Wadii Boulila; Imed Riadh Farah (KES, 2022)

Multi Spectral-Spatial Gabor Feature Fusion Based On End-To-End Deep Learning For Hyperspectral Image Classification. - Refka Hanachi; Akrem Sellami; Imed Riadh Farah; Mauro Dalla Mura (WHISPERS, 2022)

Resolution methods for constraint satisfaction problem in remote sensing field: A survey of static and dynamic algorithms. - Zouhayra Ayadi; Wadii Boulila; Imed Riadh Farah; Aurélie Leborgne; Pierre Gançarski (Ecol. Informatics, 2022)

Forecasting vegetation indices from spatio-temporal remotely sensed data using deep learning-based approaches: A systematic literature review. - Aya Ferchichi; Ali Ben Abbes; Vincent Barra; Imed Riadh Farah (Ecol. Informatics, 2022)

Detection of trend and seasonal changes in non-stationary remote sensing data: Case study of Tunisia vegetation dynamics. - Manel Rhif; Ali Ben Abbes; Beatriz Martínez 001; Rogier de Jong; Yan-Fang Sang; Imed Riadh Farah (Ecol. Informatics, 2022)

SMETool: A web-based tool for soil moisture estimation based on Eo-Learn framework and Machine Learning methods. - Noureddine Jarray; Ali Ben Abbes; Manel Rhif; Hanen Dhaou; Mohamed Ouessar; Imed Riadh Farah (Environ. Model. Softw., 2022)

Representing and modeling spatio-temporal uncertainty using belief function theory in flood extent mapping. - Manel Chehibi; Ahlem Ferchichi; Imed Riadh Farah (Expert Syst. Appl., 2022)

Multidimensional architecture using a massive and heterogeneous data: Application to drought monitoring. - Hanen Balti; Ali Ben Abbes; Nedra Mellouli; Imed Riadh Farah; Yan-Fang Sang; Myriam Lamolle (Future Gener. Comput. Syst., 2022)

A Novel Teacher-Student Framework for Soil Moisture Retrieval by Combining Sentinel-1 and Sentinel-2: Application in Arid Regions. - Noureddine Jarray; Ali Ben Abbes; Imed Riadh Farah (IEEE Geosci. Remote. Sens. Lett., 2022)

A Hybrid Privacy-Preserving Deep Learning Approach for Object Classification in Very High-Resolution Satellite Images. - Wadii Boulila; Manel Khazri Khlifi; Adel Ammar; Anis Koubaa; Bilel Benjdira; Imed Riadh Farah (Remote. Sens., 2022)

Graph-Based Classification and Urban Modeling of Laser Scanning and Imagery: Toward 3D Smart Web Services. - Slim Namouchi; Imed Riadh Farah (Remote. Sens., 2022)

Desertification Detection in Satellite Images Using Siamese Variational Autoencoder with Transfer Learning. - Farah Chouikhi; Ali Ben Abbes; Imed Riadh Farah (ICCCI, 2023)

DNGAE: Deep Neighborhood Graph Autoencoder for Robust Blind Hyperspectral Unmixing. - Refka Hanachi; Akrem Sellami; Imed Riadh Farah; Mauro Dalla Mura (ICCCI, 2023)

Evaluation of Two Surface Scattering Models Within the Water Cloud Model Over an Agricultural Area in Mexico and Synergistic Use of Sentinel-1 and Sentinel-2 Images. - Raja Inoubli; Daniel Enrique Constantino-Recillas; Alejandro Monsiváis-Huertero; Lilia Bennaceur Farah; Imed Riadh Farah (IGARSS, 2023)

Interpolation and Prediction of Piezometric Multivariate Time Series Based on Data Augmentation and Transformers. - Mohamed Louay Rabah; Nedra Mellouli; Imed Riadh Farah (IntelliSys (2), 2023)

Modeling Complex Object Changes in Satellite Image Time-Series: Approach based on CSP and Spatiotemporal Graphs. - Zouhayra Ayadi; Wadii Boulila; Imed Riadh Farah (KES, 2023)

Sustainable Palm Tree Farming: Leveraging IoT and Multi-Modal Data for Early Detection and Mapping of Red Palm Weevil. - Yosra Hajjaji; Ayyub Alzahem; Wadii Boulila; Imed Riadh Farah; Anis Koubaa (KES, 2023)

Modeling Complex Object Changes in Satellite Image Time-Series: Approach based on CSP and Spatiotemporal Graph. - Zouhayra Ayadi; Wadii Boulila; Imed Riadh Farah (CoRR, 2023)

Combining 2D encoding and convolutional neural network to enhance land cover mapping from Satellite Image Time Series. - Azza Abidi; Dino Ienco; Ali Ben Abbes; Imed Riadh Farah (Eng. Appl. Artif. Intell., 2023)

Veg-W2TCN: A parallel hybrid forecasting framework for non-stationary time series using wavelet and temporal convolution network model. - Manel Rhif; Ali Ben Abbes; Beatriz Martínez 001; Imed Riadh Farah (Appl. Soft Comput., 2023)

Combining deep learning methods and multi-resolution analysis for drought forecasting modeling. - Ali Ben Abbes; Raja Inoubli; Manel Rhif; Imed Riadh Farah (Earth Sci. Informatics, 2023)

A Hybrid Approach Based on GAN and CNN-LSTM for Aerial Activity Recognition. - Abir Bousmina; Mouna Selmi; Mohamed Amine Ben Rhaiem; Imed Riadh Farah (Remote. Sens., 2023)

Spatio-temporal heterogeneous graph using multivariate earth observation time series: Application for drought forecasting. - Hanen Balti; Ali Ben Abbes; Yan-Fang Sang; Nedra Mellouli; Imed Riadh Farah (Comput. Geosci., 2023)

Graph-based deep learning techniques for remote sensing applications: Techniques, taxonomy, and applications - A comprehensive review. - Manel Khazri Khlifi; Wadii Boulila; Imed Riadh Farah (Comput. Sci. Rev., 2023)

Machine learning for food security: current status, challenges, and future perspectives. - Noureddine Jarray; Ali Ben Abbes; Imed Riadh Farah (Artif. Intell. Rev., 2023)

Geometric Deep Learning Techniques for Analyzing Brain 3D Meshes. - Mariem Ayad; Akrem Sellami; Imed Riadh Farah; Mauro Dalla Mura (ATSIP, 2024)

TALDS: A Transfer-Active Learning-Driven Siamese Network for Bi-temporal Image Classification. - Farah Chouikhi; Ali Ben Abbes; Imed Riadh Farah (ATSIP, 2024)

Advanced graph deep learning for High-dimensional image analysis: challenges and opportunities. - Refka Hanachi; Akrem Sellami; Imed Riadh Farah; Mauro Dalla Mura (ATSIP, 2024)

Computational methods to retrieve soil moisture using remote sensing data: A review. - Raja Inoubli; Daniel Enrique Constantino-Recillas; Alejandro Monsiváis-Huertero; Lilia Bennaceur Farah; Imed Riadh Farah (ATSIP, 2024)

Multi-Scale Classification of Sentinel-2 Images for Land Cover Mapping Using Two-Branch Convolutional Neural Network. - Azza Abidi; Dino Ienco; Ali Ben Abbes; Imed Riadh Farah (IGARSS, 2024)

Monitoring Desertification in Tunisia Using Modis Ecological Indicators and Machine Learning. - Farah Chouikhi; Ali Ben Abbes; Imed Riadh Farah (IGARSS, 2024)

Predicting C-band backscattering coefficient using the water cloud model and optical vegetation indices. - Raja Inoubli; Daniel Enrique Constantino-Recillas; Alejandro Monsiváis-Huertero; Lilia Bennaceur Farah; Imed Riadh Farah (IGARSS, 2024)

Domain Adaptation for Satellite Images: Recent Advancements, Challenges, and Future Perspectives. - Manel Khazri Khelif; Wadii Boulila; Anis Koubaa; Imed Riadh Farah (KES, 2024)

Data-Driven Forecasting of Climate Change Impacts on Vegetation for Sustainable Agriculture. - Manel Rhif; Ali Ben Abbes; Beatriz Martínez 001; Imed Riadh Farah (KES, 2024)

Multi-attention Generative Adversarial Network for multi-step vegetation indices forecasting using multivariate time series. - Aya Ferchichi; Ali Ben Abbes; Vincent Barra; Manel Rhif; Imed Riadh Farah (Eng. Appl. Artif. Intell., 2024)

Graph feature fusion driven by deep autoencoder for advanced hyperspectral image unmixing. - Refka Hanachi; Akrem Sellami; Imed Riadh Farah; Mauro Dalla Mura (Knowl. Based Syst., 2024)

Multi-view graph representation learning for hyperspectral image classification with spectral-spatial graph neural networks. - Refka Hanachi; Akrem Sellami; Imed Riadh Farah; Mauro Dalla Mura (Neural Comput. Appl., 2024)

Assessment of Surface Scattering Models Within the Water Cloud Model Toward Soil Moisture Retrievals Using Sentinel-1 and Sentinel-2 Images. - Raja Inoubli; Daniel Enrique Constantino-Recillas; Alejandro Monsiváis-Huertero; Lilia Bennaceur Farah; Imed Riadh Farah (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

A Bi-GRU-based encoder-decoder framework for multivariate time series forecasting. - Hanen Balti; Ali Ben Abbes; Imed Riadh Farah (Soft Comput., 2024)

Advances in remote sensing based soil moisture retrieval: applications, techniques, scales and challenges for combining machine learning and physical models. - Ali Ben Abbes; Noureddine Jarray; Imed Riadh Farah (Artif. Intell. Rev., 2024)

Orthrus: multi-scale land cover mapping from satellite image time series via 2D encoding and convolutional neural network. - Azza Abidi; Dino Ienco; Ali Ben Abbes; Imed Riadh Farah (Neural Comput. Appl., 2024)

Interest-Based Pattern Mining for Deforestation Analysis in the Kroumiria Region, Tunisia. - Emna Klai; Ahmed Toujani; Manel Zaghdoudi; Wahbi Jaouadi; Imed Riadh Farah; Sami Faïz (AIAI (3), 2025)

AI and EO for Advancing Sustainable Development Goals: SmartSDGTunisia as a Case Study. - Hanen Balti; Manel Rhif; Farah Chouikhi; Ali Ben Abbes; Mohamed Farah 001; Imed Riadh Farah (JURSE, 2025)

Assessing the impact of climate change on desertification in Africa: A comparative analysis and projections based on CMIP6. - Farah Chouikhi; Ali Ben Abbes; Manel Rhif; Imed Riadh Farah (JURSE, 2025)

Assessing machine learning algorithms for retrieving soil moisture from a semi-arid region using a synthetic database. - Raja Inoubli; Lilia Bennaceur Farah; Imed Riadh Farah; Alejandro Monsiváis-Huertero (JURSE, 2025)

Urban Remote Sensing Image Super Resolution based on Denoising Diffusion Probabilistic Models and Generative Adversarial Networks. - Mohamed Aymen Ben Khalifa; Mourad El Koundi; Imed Riadh Farah (JURSE, 2025)

Knowledge graph representation learning: A comprehensive and experimental overview. - Dorsaf Sellami; Wissem Inoubli; Imed Riadh Farah; Sabeur Aridhi (Comput. Sci. Rev., 2025)

Enhancing palm precision agriculture: An approach based on deep learning and UAVs for efficient palm tree detection. - Yosra Hajjaji; Wadii Boulila; Imed Riadh Farah; Anis Koubaa (Ecol. Informatics, 2025)

An end-to-end pipeline based on a Two-Dimensional Convolutional Neural Network for monitoring desertification in Africa using remote sensing images. - Farah Chouikhi; Ali Ben Abbes; Imed Riadh Farah (Environ. Model. Softw., 2025)

Enhancing change detection in multi-date images using a Multi-temporal Siamese Neural Network. - Farah Chouikhi; Ali Ben Abbes; Imed Riadh Farah (Pattern Recognit. Lett., 2025)