| 2026 | ICAART | Hybrid Learning Framework for Multi-Source Forest Monitoring. | Rim Douss, Imed Riadh Farah |
| 2025 | AIAI | Interest-Based Pattern Mining for Deforestation Analysis in the Kroumiria Region, Tunisia. | Emna Klai, Ahmed Toujani, Manel Zaghdoudi, Wahbi Jaouadi, Imed Riadh Farah, Sami Faz |
| 2025 | ICTAI | Trustworthy AI for Spatio-Temporal Forecasting via Counterfactual Causality. | Aya Ferchichi, Ali Ben Abbes, Vincent Barra, Imed Riadh Farah |
| 2024 | ATSIP | Geometric Deep Learning Techniques for Analyzing Brain 3D Meshes. | Mariem Ayad, Akrem Sellami, Imed Riadh Farah, Mauro Dalla Mura |
| 2024 | ATSIP | TALDS: A Transfer-Active Learning-Driven Siamese Network for Bi-temporal Image Classification. | Farah Chouikhi, Ali Ben Abbes, Imed Riadh Farah |
| 2024 | ATSIP | Advanced graph deep learning for High-dimensional image analysis: challenges and opportunities. | Refka Hanachi, Akrem Sellami, Imed Riadh Farah, Mauro Dalla Mura |
| 2024 | ATSIP | Computational methods to retrieve soil moisture using remote sensing data: A review. | Raja Inoubli, Daniel Enrique Constantino-Recillas, Alejandro Monsivis-Huertero, Lilia Bennaceur Farah, Imed Riadh Farah |
| 2024 | IGARSS | 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 |
| 2024 | IGARSS | Monitoring Desertification in Tunisia Using Modis Ecological Indicators and Machine Learning. | Farah Chouikhi, Ali Ben Abbes, Imed Riadh Farah |
| 2024 | IGARSS | Predicting C-band backscattering coefficient using the water cloud model and optical vegetation indices. | Raja Inoubli, Daniel Enrique Constantino-Recillas, Alejandro Monsivis-Huertero, Lilia Bennaceur Farah, Imed Riadh Farah |
| 2024 | KES | Domain Adaptation for Satellite Images: Recent Advancements, Challenges, and Future Perspectives. | Manel Khazri Khelif, Wadii Boulila, Anis Koubaa, Imed Riadh Farah |
| 2024 | KES | Data-Driven Forecasting of Climate Change Impacts on Vegetation for Sustainable Agriculture. | Manel Rhif, Ali Ben Abbes, Beatriz Martnez, Imed Riadh Farah |
| 2023 | ICCCI | Desertification Detection in Satellite Images Using Siamese Variational Autoencoder with Transfer Learning. | Farah Chouikhi, Ali Ben Abbes, Imed Riadh Farah |
| 2023 | ICCCI | DNGAE: Deep Neighborhood Graph Autoencoder for Robust Blind Hyperspectral Unmixing. | Refka Hanachi, Akrem Sellami, Imed Riadh Farah, Mauro Dalla Mura |
| 2023 | IGARSS | 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 Monsivis-Huertero, Lilia Bennaceur Farah, Imed Riadh Farah |
| 2023 | KES | Modeling Complex Object Changes in Satellite Image Time-Series: Approach based on CSP and Spatiotemporal Graphs. | Zouhayra Ayadi, Wadii Boulila, Imed Riadh Farah |
| 2023 | KES | 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 |
| 2022 | ATSIP | A deep learning approach based on morphological profiles for Hyperspectral Image unmixing. | Mariem Ayed, Refka Hanachi, Akrem Sellami, Imed Riadh Farah, Mauro Dalla Mura |
| 2022 | ATSIP | Structured Case Base Knowledge using Unsupervised Learning. | Ikram Chourib, Gwenal Guillard, Imed Riadh Farah, Basel Solaiman |
| 2022 | ATSIP | Model Based Anomaly Detection in High Dimensional DATA. | Imen Gatfaoui, Basel Solaiman, Imed Riadh Farah |
| 2022 | ATSIP | Hypothetical reasoning method based on hypothetical cases. | Wissal Ben Marzouka, Basel Solaiman, Mohamed Farah, Imed Riadh Farah |
| 2022 | IGARSS | 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 |
| 2022 | IGARSS | Novel Method for Combining NDVI Time Series Forecasting Models. | Oumayma Bounouh, Ana Maria Tarquis, Imed Riadh Farah |
| 2022 | IGARSS | 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 |
| 2022 | ISDA | A Machine Learning Framework for Cereal Yield Forecasting Using Heterogeneous Data. | Noureddine Jarray, Ali Ben Abbes, Imed Riadh Farah |
| 2022 | KES | Leveraging Artificial Intelligence Techniques for Smart Palm Tree Detection: A Decade Systematic Review. | Yosra Hajjaji, Wadii Boulila, Imed Riadh Farah |
| 2021 | ICCCI | An Improved Forecasting Model from Satellite Imagery Based on Optimum Wavelet Bases and Adam Optimized LSTM Methods. | Manel Rhif, Ali Ben Abbes, Beatriz Martnez, Imed Riadh Farah |
| 2021 | IGARSS | An Evaluation of Soil Moisture Retrieval Using Machine Learning Methods: Application in Arid Regions of Tunisia. | Noureddine Jarray, Ali Ben Abbes, Imed Riadh Farah |
| 2021 | KES | A Hybrid APM-CPGSO Approach for Constraint Satisfaction Problem Solving: Application to Remote Sensing. | Zouhayra Ayadi, Wadii Boulila, Imed Riadh Farah |
| 2021 | KES | An improved tile-based scalable distributed management model of massive high-resolution satellite images. | Yosra Hajjaji, Wadii Boulila, Imed Riadh Farah |
| 2020 | ATSIP | Suspicious Local Event Detection in Social Media and Remote Sensing: Towards a Geosocial Dataset Construction. | Marwen Bouabid, Mohamed Farah, Imed Riadh Farah |
| 2020 | ATSIP | Case-Based Reasoning: Problems And Importance Of Similarity Measure. | Ikram Chourib, Gwenal Guillard, Makram Mestiri, Basel Solaiman, Imed Riadh Farah |
| 2020 | ATSIP | 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 |
| 2020 | ATSIP | Soil salinity prediction using a machine learning approach through hyperspectral satellite image. | Salim Klibi, Kais Tounsi, Zouhaier Ben Rabah, Basel Solaiman, Imed Riadh Farah |
| 2020 | ATSIP | 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 |
| 2020 | IGARSS | 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 |
| 2019 | IC3K | Deep Semantic Feature Detection from Multispectral Satellite Images. | Hanen Balti, Nedra Mellouli, Imen Chebbi, Imed Riadh Farah, Myriam Lamolle |
| 2019 | IC3K | Deep Learning Analysis for Big Remote Sensing Image Classification. | Imen Chebbi, Nedra Mellouli, Myriam Lamolle, Imed Riadh Farah |
| 2019 | IGARSS | Isotropic Total Variation Minimization for Sub-Pixel Mapping. | Bouthayna Msellmi, Daniele Picone, Mauro Dalla Mura, Zouhaier Ben Rabah, Imed Riadh Farah |
| 2019 | IGARSS | Piecewise Horizontal 3D Roof Reconstruction from Aerial Lidar. | Slim Namouchi, Bruno Vallet, Imed Riadh Farah, Haythem Ismail |
| 2018 | ATSIP | A comparison of big remote sensing data processing with Hadoop MapReduce and Spark. | Imen Chebbi, Wadii Boulila, Nedra Mellouli, Myriam Lamolle, Imed Riadh Farah |
| 2018 | ATSIP | 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 |
| 2018 | ATSIP | Performance investigation of selected NoSQL databases for massive remote sensing image data storage. | Yosra Hajjaji, Imed Riadh Farah |
| 2018 | ATSIP | An adaptive semantic dimensionality reduction approach for hyperspectral imagery classification. | Rawaa Hamdi, Akrem Sellami, Imed Riadh Farah |
| 2018 | ICPR | Action Recognition from 3D Skeleton Sequences using Deep Networks on Lie Group Features. | Manel Rhif, Hazem Wannous, Imed Riadh Farah |
| 2018 | IGARSS | A GRAPH BASED MODEL FOR SUB-PIXEL OBJECTS RECOGNITION. | Bouthayna Msellmi, Zouhaier Ben Rabah, Imed Riadh Farah |
| 2017 | ATSIP | Fuzzy hypergraph of concepts for semantic annotation of remotely sensed images. | Khitem Amiri, Mohamed Farah, Imed Riadh Farah |
| 2017 | ATSIP | Rate invariant action recognition in Lie algebra. | Malek Boujebli, Hassen Drira, Makram Mestiri, Imed Riadh Farah |
| 2017 | ATSIP | Prediction of land use/land cover change methods: A study. | Oumayma Bounouh, Houcine Essid, Imed Riadh Farah |
| 2016 | ATSIP | Graph of visual words for semantic annotation of remote sensing images. | Mohamed Farah, Khitem Amiri, Imed Riadh Farah |
| 2016 | ATSIP | Sensitivity analysis of land cover change prediction model in the presence of aleatory and epistemic imperfection. | Zouhayra Ayadi, Wadii Boulila, Imed Riadh Farah |
| 2016 | ATSIP | Improvement of satellite image classification: Approach based on Hadoop/MapReduce. | Imen Chebbi, Wadii Boulila, Imed Riadh Farah |
| 2016 | ATSIP | Towards an ontological conceptualization for understanding the dynamics of spatio-temporal objects. | Fethi Ghazouani, Wassim Messaoudi, Imed Riadh Farah |
| 2016 | ATSIP | On the effects of vegetation on radar backscattering. | Ibtissem Hosni, Lilia Bennaceur Farah, Saber Mohamed Naceur, Imed Riadh Farah |
| 2016 | ATSIP | Super-resolution algorithm based on sub-pixels spatial Correlation for hyperspectral image classification. | Bouthayna Msellmi, Zouhaier Ben Rabah, Imed Riadh Farah |
| 2016 | ATSIP | Evaluation and predictability of water erosion based on spectral information analysis. | Zouhaier Ben Rabah, Imed Riadh Farah |
| 2015 | IC3K | A Multi-level Ontological Approach for Change Monitoring in Remotely Sensed Imagery. | Fethi Ghazouani, Wassim Messaoudi, Imed Riadh Farah |
| 2015 | ICCCI | Big Data: Concepts, Challenges and Applications. | Imen Chebbi, Wadii Boulila, Imed Riadh Farah |
| 2015 | ICCCI | An Intelligent Possibilistic Approach to Reduce the Effect of the Imperfection Propagation on Land Cover Change Prediction. | Ahlem Ferchichi, Wadii Boulila, Imed Riadh Farah |
| 2015 | IJCCI | Using Evidence Theory in Land Cover Change Prediction to Model Imperfection Propagation with Correlated Inputs Parameters. | Ahlem Ferchichi, Wadii Boulila, Imed Riadh Farah |
| 2015 | IJCCI | Improvement of LCC Prediction Modeling Based on Correlated Parameters and Model Structure Uncertainty Propagation. | Ahlem Ferchichi, Wadii Boulila, Imed Riadh Farah |
| 2015 | IGARSS | Rare events detection in NDVI time-series using Jarque-Bera test. | Ali Ben Abbes, Houcine Essid, Imed Riadh Farah, Vincent Barra |
| 2015 | IGARSS | Can we automatically choose best uncertainty heuristics for large margin active learning? | Ines Ben Slimene Ben Amor, Nesrine Chehata, Philippe Lagacherie, Jean-Stphane Bailly, Imed Riadh Farah |
| 2014 | ATSIP | 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 |
| 2014 | ATSIP | A new ontology for semantic annotation of remotely sensed images. | Wassim Messaoudi, Imed Riadh Farah, Basel Solaiman |
| 2014 | ATSIP | A critical analysis of lifecycles and methods for ontology construction and evaluation. | Hafed Nefzi, Mohamed Farah, Imed Riadh Farah, Basel Solaiman |
| 2014 | IC3K | A Semi-automatic Mapping Selection in the Ontology Alignment Process. | Hafed Nefzi, Mohamed Farah, Imed Riadh Farah, Basel Solaiman |
| 2014 | ICAISC | An Approach for Imperfection Propagation: Application to Land Cover Change Prediction. | Amine Bouatay, Wadii Boulila, Imed Riadh Farah |
| 2013 | IC3K | An Approach based on Adaptive Decision Tree for Land Cover Change Prediction in Satellite Images. | Ahlem Ferchichi, Wadii Boulila, Imed Riadh Farah |
| 2013 | ICPRAM | A Multi-features Fusion of Multi-temporal Hyperspectral Images using a Cooperative GDD/SVM Method. | Selim Hemissi, Imed Riadh Farah |
| 2012 | IGARSS | A robust Evidential Fisher Discriminant for multi-temporal hyperspectral images classification. | Selim Hemissi, Imed Riadh Farah, Karim Saheb Ettaba, Basel Solaiman |
| 2012 | SAC | High level adaptive fusion approach: application to land cover change prediction in satellite image databases. | Wadii Boulila, Karim Saheb Ettaba, Imed Riadh Farah, Basel Solaiman |
| 2007 | IGARSS | Toward a semi-automatic interpretation of scenes issued from multisensor satellite images. | Karim Saheb Ettaba, Imed Riadh Farah, Mohamed Ben Ahmed, Soulaiman Bassel |
| 2005 | AICCSA | Analysing spatial-temporal data based on generic GIS. | Ines Hamdi, Imed Riadh Farah, Mohmed B. Ahmed |
| 2003 | IGARSS | Multispectral satellite image analysis based on the method of blind separation and fusion of sources. | Imed Riadh Farah, Mohamed Ben Ahmed, Mohamed Rached Boussema |
| 2002 | IGARSS | Satellite image analysis based on the method of blind separation of sources for the extraction of information. | Imed Riadh Farah, Mohamed Ben Ahmed |