Imed Riadh Farah

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 98

Top Venues

Publications

Refka Hanachi, Akrem Sellami, Imed Riadh Farah, Mauro Dalla Mura
Graph feature fusion driven by deep autoencoder for advanced hyperspectral image unmixing. Knowl. Based Syst. 299 (2024)
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)
Refka Hanachi, Akrem Sellami, Imed Riadh Farah, Mauro Dalla Mura
Multi-view graph representation learning for hyperspectral image classification with spectral-spatial graph neural networks. Neural Comput. Appl. 36 (7) (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)
Yosra Hajjaji, Ayyub Alzahem, Wadii Boulila, Imed Riadh Farah, Anis Koubaa
Sustainable Palm Tree Farming: Leveraging IoT and Multi-Modal Data for Early Detection and Mapping of Red Palm Weevil. KES (2023)
Yosra Hajjaji, Ayyub Alzahem, Wadii Boulila, Imed Riadh Farah, Anis Koubaa
Sustainable Palm Tree Farming: Leveraging IoT and Multi-Modal Data for Early Detection and Mapping of Red Palm Weevil. CoRR (2023)
Zouhayra Ayadi, Wadii Boulila, Imed Riadh Farah
Modeling Complex Object Changes in Satellite Image Time-Series: Approach based on CSP and Spatiotemporal Graph. CoRR (2023)
Zouhayra Ayadi, Wadii Boulila, Imed Riadh Farah
Modeling Complex Object Changes in Satellite Image Time-Series: Approach based on CSP and Spatiotemporal Graphs. KES (2023)
Manel Khazri Khlifi, Wadii Boulila, Imed Riadh Farah
Graph-based deep learning techniques for remote sensing applications: Techniques, taxonomy, and applications - A comprehensive review. Comput. Sci. Rev. 50 (2023)
Abir Bousmina, Mouna Selmi, Mohamed Amine Ben Rhaiem, Imed Riadh Farah
A Hybrid Approach Based on GAN and CNN-LSTM for Aerial Activity Recognition. Remote. Sens. 15 (14) (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)
Raja Inoubli, Daniel Enrique Constantino-Recillas, Alejandro Monsiváis-Huertero, Lilia Bennaceur Farah, Imed Riadh Farah
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. IGARSS (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)
Refka Hanachi, Akrem Sellami, Imed Riadh Farah, Mauro Dalla Mura
DNGAE: Deep Neighborhood Graph Autoencoder for Robust Blind Hyperspectral Unmixing. ICCCI (2023)
Farah Chouikhi, Ali Ben Abbes, Imed Riadh Farah
Desertification Detection in Satellite Images Using Siamese Variational Autoencoder with Transfer Learning. ICCCI (2023)
Oumayma Bounouh, Ana Maria Tarquis, Imed Riadh Farah
Novel Method for Combining NDVI Time Series Forecasting Models. IGARSS (2022)
Slim Namouchi, Imed Riadh Farah
Graph-Based Classification and Urban Modeling of Laser Scanning and Imagery: Toward 3D Smart Web Services. Remote. Sens. 14 (1) (2022)
Yosra Hajjaji, Wadii Boulila, Imed Riadh Farah
Leveraging Artificial Intelligence Techniques for Smart Palm Tree Detection: A Decade Systematic Review. CoRR (2022)
Nedra Mellouli, Mohamed Louay Rabah, Imed Riadh Farah
Transformers-based time series forecasting for piezometric level prediction. EAIS (2022)
Imen Gatfaoui, Basel Solaiman, Imed Riadh Farah
Model Based Anomaly Detection in High Dimensional DATA. ATSIP (2022)
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)
Refka Hanachi, Akrem Sellami, Imed Riadh Farah, Mauro Dalla Mura
Multi Spectral-Spatial Gabor Feature Fusion Based On End-To-End Deep Learning For Hyperspectral Image Classification. WHISPERS (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)
Wissal Ben Marzouka, Basel Solaiman, Mohamed Farah, Imed Riadh Farah
Hypothetical reasoning method based on hypothetical cases. ATSIP (2022)
Ikram Chourib, Gwenaël Guillard, Imed Riadh Farah, Basel Solaiman
Structured Case Base Knowledge using Unsupervised Learning. ATSIP (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)
Mohamed Louay Rabah, Nedra Mellouli, Imed Riadh Farah
Modèle de prédiction de niveau piézométrique basé sur Transformers. EGC (2022)
Yosra Hajjaji, Wadii Boulila, Imed Riadh Farah
Leveraging Artificial Intelligence Techniques for Smart Palm Tree Detection: A Decade Systematic Review. KES (2022)
Manel Chehibi, Ahlem Ferchichi, Imed Riadh Farah
Representing and modeling spatio-temporal uncertainty using belief function theory in flood extent mapping. Expert Syst. Appl. 209 (2022)
Zouhayra Ayadi, Wadii Boulila, Imed Riadh Farah, Aurélie Leborgne, Pierre Gançarski
Resolution methods for constraint satisfaction problem in remote sensing field: A survey of static and dynamic algorithms. Ecol. Informatics 69 (2022)
Wadii Boulila, Manel Khazri Khlifi, Adel Ammar, Anis Koubaa, Bilel Benjdira, Imed Riadh Farah
A Hybrid Privacy-Preserving Deep Learning Approach for Object Classification in Very High-Resolution Satellite Images. Remote. Sens. 14 (18) (2022)
Mariem Ayed, Refka Hanachi, Akrem Sellami, Imed Riadh Farah, Mauro Dalla Mura
A deep learning approach based on morphological profiles for Hyperspectral Image unmixing. ATSIP (2022)
Manel Chehibi, Ahlem Ferchichi, Imed Riadh Farah
An Intelligent System for Managing Uncertain Temporal Flood Events. BELIEF (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)
Refka Hanachi, Akrem Sellami, Imed Riadh Farah
Interpretation of Human Behavior from Multi-modal Brain MRI Images based on Graph Deep Neural Networks and Attention Mechanism. VISIGRAPP (4: VISAPP) (2021)
Zouhayra Ayadi, Wadii Boulila, Imed Riadh Farah
A Hybrid APM-CPGSO Approach for Constraint Satisfaction Problem Solving: Application to Remote Sensing. KES (2021)
Bouthayna Msellmi, Daniele Picone, Zouhaier Ben Rabah, Mauro Dalla Mura, Imed Riadh Farah
Sub-Pixel Mapping Model Based on Total Variation Regularization and Learned Spatial Dictionary. Remote. Sens. 13 (2) (2021)
Yosra Hajjaji, Wadii Boulila, Imed Riadh Farah
An improved tile-based scalable distributed management model of massive high-resolution satellite images. KES (2021)
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)
Yosra Hajjaji, Wadii Boulila, Imed Riadh Farah
An improved tile-based scalable distributed management model of massive high-resolution satellite images. CoRR (2021)
Refka Hanachi, Akrem Sellami, Imed Riadh Farah
BS-GAENets: Brain-Spatial Feature Learning Via a Graph Deep Autoencoder for Multi-modal Neuroimaging Analysis. VISIGRAPP (Revised Selected Papers) (2021)
Yosra Hajjaji, Wadii Boulila, Imed Riadh Farah, Imed Romdhani, Amir Hussain
Big data and IoT-based applications in smart environments: A systematic review. Comput. Sci. Rev. 39 (2021)
Zouhayra Ayadi, Wadii Boulila, Imed Riadh Farah
A Hybrid APM-CPGSO Approach for Constraint Satisfaction Problem Solving: Application to Remote Sensing. CoRR (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)
Imen Chebbi, Nedra Mellouli, Imed Riadh Farah, Myriam Lamolle
Big Remote Sensing Image Classification Based on Deep Learning Extraction Features and Distributed Spark Frameworks. Big Data Cogn. Comput. 5 (2) (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)
Salim Klibi, Kais Tounsi, Zouhaier Ben Rabah, Basel Solaiman, Imed Riadh Farah
Soil salinity prediction using a machine learning approach through hyperspectral satellite image. ATSIP (2020)
Ikram Chourib, Gwenaël Guillard, Makram Mestiri, Basel Solaiman, Imed Riadh Farah
Case-Based Reasoning: Problems And Importance Of Similarity Measure. ATSIP (2020)
Marwen Bouabid, Mohamed Farah, Imed Riadh Farah
Suspicious Local Event Detection in Social Media and Remote Sensing: Towards a Geosocial Dataset Construction. ATSIP (2020)
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)
Bouthayna Msellmi, Daniele Picone, Zouhaier Ben Rabah, Mauro Dalla Mura, Imed Riadh Farah
Sub-pixel Mapping Method based on Total Variation Minimization and Spectral Dictionary. ATSIP (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)
Bouthayna Msellmi, Daniele Picone, Zouhaier Ben Rabah, Mauro Dalla Mura, Imed Riadh Farah
Sub-Pixel Mapping Method Based on K-SVD Dictionary Learning and Total Variation Minimization. IGARSS (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)
Akrem Sellami, Mohamed Farah, Imed Riadh Farah, Basel Solaiman
Hyperspectral imagery classification based on semi-supervised 3-D deep neural network and adaptive band selection. Expert Syst. Appl. 129 (2019)
Wassim Messaoudi, Mohamed Farah, Imed Riadh Farah
Fuzzy Spatio-Spectro-Temporal Ontology for Remote Sensing Image Annotation and Interpretation: Application to Natural Risks Assessment. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 27 (5) (2019)
Fethi Ghazouani, Imed Riadh Farah, Basel Solaiman
A Multi-Level Semantic Scene Interpretation Strategy for Change Interpretation in Remote Sensing Imagery. IEEE Trans. Geosci. Remote. Sens. 57 (11) (2019)
Bouthayna Msellmi, Daniele Picone, Mauro Dalla Mura, Zouhaier Ben Rabah, Imed Riadh Farah
Isotropic Total Variation Minimization for Sub-Pixel Mapping. IGARSS (2019)
Imen Chebbi, Nedra Mellouli, Myriam Lamolle, Imed Riadh Farah
Deep Learning Analysis for Big Remote Sensing Image Classification. KDIR (2019)
Hanen Balti, Nedra Mellouli, Imen Chebbi, Imed Riadh Farah, Myriam Lamolle
Deep Semantic Feature Detection from Multispectral Satellite Images. KDIR (2019)
Slim Namouchi, Bruno Vallet, Imed Riadh Farah, Haythem Ismail
Piecewise Horizontal 3D Roof Reconstruction from Aerial Lidar. 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)
Yaakoub Boualleg, Mohamed Farah, Imed Riadh Farah
Remote Sensing Scene Classification Using Convolutional Features and Deep Forest Classifier. IEEE Geosci. Remote. Sens. Lett. 16 (12) (2019)
Wadii Boulila, Imed Riadh Farah, Amir Hussain
A novel decision support system for the interpretation of remote sensing big data. Earth Sci. Informatics 11 (1) (2018)
Khadhar Meriem, Mestiri Makram, Imed Riadh Farah
Designing Human Brain Interface Model for Interactive Cognitive Learning in an Immersive System with Neurofeedback. IEEE Conf. on Intelligent Systems (2018)
Ahlem Ferchichi, Wadii Boulila, Imed Riadh Farah
Corrigendum to "Propagating aleatory and epistemic uncertainty in land cover change prediction process" [Ecol. Inform. 37, 24-37]. Ecol. Informatics 43 (2018)
Khadhar Meriem, Mestiri Makram, Imed Riadh Farah
Virtual and Augmented Reality in the Valuation of the Tunisian Cultural Heritage: Application to Thysdrus (ElJem) Amphitheater. IEEE Conf. on Intelligent Systems (2018)
Ahlem Ferchichi, Wadii Boulila, Imed Riadh Farah
Reducing uncertainties in land cover change models using sensitivity analysis. Knowl. Inf. Syst. 55 (3) (2018)
Rawaa Hamdi, Akrem Sellami, Imed Riadh Farah
An adaptive semantic dimensionality reduction approach for hyperspectral imagery classification. ATSIP (2018)
Ines Ben Slimene Ben Amor, Nesrine Chehata, Jean-Stéphane Bailly, Imed Riadh Farah, Philippe Lagacherie
Parcel-Based Active Learning for Large Extent Cultivated Area Mapping. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11 (1) (2018)
Bouthayna Msellmi, Zouhaier Ben Rabah, Imed Riadh Farah
A GRAPH BASED MODEL FOR SUB-PIXEL OBJECTS RECOGNITION. IGARSS (2018)
Fethi Ghazouani, Imed Riadh Farah, Basel Solaiman
Qualitative semantic spatio-temporal reasoning based on description logics for modeling dynamics of spatio-temporal objects in satellite images. ATSIP (2018)
Yosra Hajjaji, Imed Riadh Farah
Performance investigation of selected NoSQL databases for massive remote sensing image data storage. ATSIP (2018)
Manel Rhif, Hazem Wannous, Imed Riadh Farah
Action Recognition from 3D Skeleton Sequences using Deep Networks on Lie Group Features. ICPR (2018)
Akrem Sellami, Mohamed Farah, Imed Riadh Farah, Basel Solaiman
Hyperspectral Imagery Semantic Interpretation Based on Adaptive Constrained Band Selection and Knowledge Extraction Techniques. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11 (4) (2018)
Imen Chebbi, Wadii Boulila, Nedra Mellouli, Myriam Lamolle, Imed Riadh Farah
A comparison of big remote sensing data processing with Hadoop MapReduce and Spark. ATSIP (2018)
Wadii Boulila, Zouhayra Ayadi, Imed Riadh Farah
Sensitivity analysis approach to model epistemic and aleatory imperfection: Application to Land Cover Change prediction model. J. Comput. Sci. 23 (2017)
Malek Boujebli, Hassen Drira, Makram Mestiri, Imed Riadh Farah
Rate invariant action recognition in Lie algebra. ATSIP (2017)
Khitem Amiri, Mohamed Farah, Imed Riadh Farah
Fuzzy hypergraph of concepts for semantic annotation of remotely sensed images. ATSIP (2017)
Oumayma Bounouh, Houcine Essid, Imed Riadh Farah
Prediction of land use/land cover change methods: A study. ATSIP (2017)
Ahlem Ferchichi, Wadii Boulila, Imed Riadh Farah
Towards an uncertainty reduction framework for land-cover change prediction using possibility theory. Vietnam. J. Comput. Sci. 4 (3) (2017)
Ahlem Ferchichi, Wadii Boulila, Imed Riadh Farah
Propagating aleatory and epistemic uncertainty in land cover change prediction process. Ecol. Informatics 37 (2017)
Zouhayra Ayadi, Wadii Boulila, Imed Riadh Farah
Sensitivity analysis of land cover change prediction model in the presence of aleatory and epistemic imperfection. ATSIP (2016)
Mohamed Farah, Khitem Amiri, Imed Riadh Farah
Graph of visual words for semantic annotation of remote sensing images. ATSIP (2016)
Ibtissem Hosni, Lilia Bennaceur Farah, Saber Mohamed Naceur, Imed Riadh Farah
On the effects of vegetation on radar backscattering. ATSIP (2016)
Fethi Ghazouani, Wassim Messaoudi, Imed Riadh Farah
Towards an ontological conceptualization for understanding the dynamics of spatio-temporal objects. ATSIP (2016)
Mohamed Farah, Hafed Nefzi, Imed Riadh Farah
A similarity-based framework for the alignment of an ontology for remote sensing. Comput. Geosci. 96 (2016)
Zouhaier Ben Rabah, Imed Riadh Farah
Evaluation and predictability of water erosion based on spectral information analysis. ATSIP (2016)
Imen Chebbi, Wadii Boulila, Imed Riadh Farah
Improvement of satellite image classification: Approach based on Hadoop/MapReduce. ATSIP (2016)
Bouthayna Msellmi, Zouhaier Ben Rabah, Imed Riadh Farah
Super-resolution algorithm based on sub-pixels spatial Correlation for hyperspectral image classification. ATSIP (2016)
Fethi Ghazouani, Wassim Messaoudi, Imed Riadh Farah
A Multi-level Ontological Approach for Change Monitoring in Remotely Sensed Imagery. KEOD (2015)
Ahlem Ferchichi, Wadii Boulila, Imed Riadh Farah
An Intelligent Possibilistic Approach to Reduce the Effect of the Imperfection Propagation on Land Cover Change Prediction. ICCCI (2) (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Imed Riadh Farah