Linguistic approach for interpolative reasoning. - Nedra Mellouli; Bernadette Bouchon-Meunier (EUSFLAT-ESTYLF Joint Conf., 1999)

Fuzzy Approaches to Abductive Inference - Nedra Mellouli; Bernadette Bouchon-Meunier (CoRR, 2000)

Linguistic Modifiers in a Symbolic Framework. - Herman Akdag; Isis Truck; Amel Borgi; Nedra Mellouli (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2001)

Abductive reasoning and measures of similitude in the presence of fuzzy rules. - Nedra Mellouli; Bernadette Bouchon-Meunier (Fuzzy Sets Syst., 2003)

Texture Image Analysis for Osteoporosis Detection with Morphological Tools. - Sylvie Sevestre-Ghalila; Amel Benazza-Benyahia; Anne Ricordeau; Nedra Mellouli; Christine Chappard; Claude Laurent Benhamou (MICCAI (1), 2004)

A stochastic bone remodeling process. - Anne Ricordeau; Nedra Mellouli (ISBI, 2008)

A Pattern-based System for Image Retrieval. - Olfa Allani; Hajer Baazaoui Zghal; Nedra Mellouli; Herman Akdag; Henda Ben Ghézala (KEOD, 2014)

A Relevant Visual Feature Selection Approach for Image Retrieval. - Olfa Allani; Nedra Mellouli; Hajer Baazaoui Zghal; Herman Akdag; Henda Ben Ghézala (VISAPP (2), 2015)

A Knowledge-based Image Retrieval System Integrating Semantic and Visual Features. - Olfa Allani; Hajer Baazaoui Zghal; Nedra Mellouli; Herman Akdag (KES, 2016)

Exploring 3D-structure analysis tools for a simulated bone remodelling process. - Anne Ricordeau; Nedra Mellouli (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2016)

Sélection ciblée des descripteurs visuels pour la recherche d'images: une approche basée sur les règles d'association. - Olfa Allani; Nedra Mellouli; Hajer Baazaoui Zghal; Herman Akdag (EGC, 2017)

When Deep Neural Networks Meet Job Offers Recommendation. - Sidahmed Benabderrahmane; Nedra Mellouli; Myriam Lamolle; Nada Mimouni (ICTAI, 2017)

Predicting the Users' Clickstreams Using Time Series Representation, Symbolic Sequences, and Deep Learning: Application on Job Offers Recommendation Tasks. - Sidahmed Benabderrahmane; Nedra Mellouli; Myriam Lamolle (IRI, 2017)

Smart4Job: A Big Data Framework for Intelligent Job Offers Broadcasting Using Time Series Forecasting and Semantic Classification. - Sidahmed Benabderrahmane; Nedra Mellouli; Myriam Lamolle; Patrick Paroubek (Big Data Res., 2017)

Pattern graph-based image retrieval system combining semantic and visual features. - Olfa Allani; Hajer Baazaoui Zghal; Nedra Mellouli; Herman Akdag (Multim. Tools Appl., 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)

On the predictive analysis of behavioral massive job data using embedded clustering and deep recurrent neural networks. - Sidahmed Benabderrahmane; Nedra Mellouli; Myriam Lamolle (Knowl. Based Syst., 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)

Multivariate Time Series Forecasting with Deep Learning Proceedings in Energy Consumption. - Nédra Mellouli; Mahdjouba Akerma; Minh Hoang; Denis Leducq; Anthony Delahaye (KDIR, 2019)

Deep Learning Models for Time Series Forecasting of Indoor Temperature and Energy Consumption in a Cold Room. - Nédra Mellouli; Mahdjouba Akerma; Minh Hoang; Denis Leducq; Anthony Delahaye (ICCCI (2), 2019)

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)

Quelques contributions à l'extraction, l'enrichissement des connaissances et à la prédiction de données spatio-temporelles massives. - Nédra Mellouli-Nauwynck (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)

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)

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)

An Overview of Methods and Tools for Extraction of Knowledge for COVID-19 from Knowledge Graphs. - Mariya Evtimova-Gardair; Nedra Mellouli (ICPRAI (2), 2022)

Improved Arabic Alphabet Characters Classification Using Convolutional Neural Networks (CNN). - Nesrine Wagaa; Hichem Kallel; Nédra Mellouli (Comput. Intell. Neurosci., 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)

Smart Digital-Twin hub Concept for Rice yield prediction and monitoring from multivariate time series data. - Yahjeb Bouha Khatraty; Nédra Mellouli; Mamadou Tourad Diallo; Mohamedade Farouk Nanne (CSCS, 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)

Analytical and deep learning approaches for solving the inverse kinematic problem of a high degrees of freedom robotic arm. - Nesrine Wagaa; Hichem Kallel; Nédra Mellouli (Eng. Appl. Artif. Intell., 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)

Factorisation de matrices symétriques non négatives appliquée à la détection de communautés dans des graphes et l'analyse forensique d'images. - Gaël Marec; Nedra Mellouli (EGC, 2024)

REDIRE : Réduction Extrême de DImension pour le Résumé Extractif. - Marius Ortega; Aurélien Bossard; Nedra Mellouli; Christophe Rodrigues (EGC, 2024)

Contextual kNN Ensemble Retrieval Approach for Semantic Postal Address Matching. - El Moundir Faraoun; Nédra Mellouli; Stéphane Millot; Myriam Lamolle (IAL@PKDD/ECML, 2024)

Federated Learning Models for Real-Time IoT: A Survey. - Karim Houidi; Marwa Said; Akram Hakiri; Nédra Mellouli-Nauwynck; Hella Kaffel Ben Ayed (ISORC, 2024)

Performance Evaluation of LoRaWAN Propagation Models for Real-Time IoT Deployments. - Marwa Said; Karim Houidi; Akram Hakiri; Nédra Mellouli-Nauwynck; Hella Kaffel Ben Ayed (ISORC, 2024)

Deep Padding and Alignment Strategies for Irregular Multivariate Clinical Time Series. - Nzamba Bignoumba; Sadok Ben Yahia; Nedra Mellouli (KES, 2024)

Smart Agriculture Framework with Digital Twin: A Monitoring Model Based on Clustering and prediction of Multivariate Time Series. - Yahjeb Bouha Khatraty; Nédra Mellouli; Mamadou Tourad Diallo; Mohamedade Farouk Nanne (Midd4DT@Middleware, 2024)

Leveraging Sentence-Transformers to Overcome Query-Document Vocabulary Mismatch in Information Retrieval. - Saber Zahhar; Nédra Mellouli; Christophe Rodrigues (WISE (PhD Symposium, Demos and Workshops), 2024)

A comprehensive survey on digital twin for future networks and emerging Internet of Things industry. - Akram Hakiri; Aniruddha Gokhale; Sadok Ben Yahia; Nedra Mellouli (Comput. Networks, 2024)

Special Issue on Digital Twin for Future Networks and Emerging IoT Applications (DT4IoT). - Akram Hakiri; Sadok Ben Yahia; Aniruddha S. Gokhale; Nédra Mellouli (Future Gener. Comput. Syst., 2024)

A new efficient ALignment-driven Neural Network for Mortality Prediction from Irregular Multivariate Time Series data. - Nzamba Bignoumba; Nedra Mellouli; Sadok Ben Yahia (Expert Syst. Appl., 2024)

kNN-Vote: Ensemble kNN pour la recherche contextuelle et l'appariement sémantique d'adresses postales. - El Moundir Faraoun; Nedra Mellouli; Stéphane Millot; Myriam Lamolle (EGC, 2025)

Optimal LoRaWAN Gateway Placement for Efficient Large-Scale IoT Deployments. - Marwa Said; Maher Jabberi; Akram Hakiri; Hella Kaffel Ben Ayed; Nédra Mellouli (IWCMC, 2025)

Symmetric non negative matrices factorization applied to the detection of communities in graphs and forensic image analysis. - Gaël Marec; Nédra Mellouli (Data Knowl. Eng., 2025)

REDIRE: Extreme REduction DImension for extRactivE Summarization. - Christophe Rodrigues; Marius Ortega; Aurélien Bossard; Nédra Mellouli (Data Knowl. Eng., 2025)