Multidimensional models meet the semantic web: defining and reasoning on OWL-DL ontologies for OLAP. - Nicolas Prat; Imen Megdiche; Jacky Akoka (DOLAP, 2012)

A new 0-1 linear program for QoS and transactional-aware web service composition. - Virginie Gabrel; Maude Manouvrier; Imen Megdiche; Cécile Murat (ISCC, 2012)

Vers l'intégration multidimensionnelle d'Open Data dans les entrepôts de données. - Alain Berro; Imen Megdiche; Olivier Teste (EDA, 2013)

A Content-Driven ETL Processes for Open Data. - Alain Berro; Imen Megdiche; Olivier Teste (ADBIS (2), 2014)

Transformer les Open Data brutes en graphes enrichis en vue d'une intégration dans les systèmes OLAP. - Alain Berro; Imen Megdiche; Olivier Teste (INFORSID, 2014)

A Linear Program for Holistic Matching: Assessment on Schema Matching Benchmark. - Alain Berro; Imen Megdiche; Olivier Teste (DEXA (2), 2015)

Intégration Holistique des Graphes basée sur la Programmation Linéaire pour l'Entreposage des Open Data. - Alain Berro; Imen Megdiche; Olivier Teste (EDA, 2015)

Graph-based ETL Processes for Warehousing Statistical Open Data. - Alain Berro; Imen Megdiche; Olivier Teste (ICEIS (1), 2015)

Holistic Statistical Open Data integration based on integer linear programming. - Alain Berro; Imen Megdiche; Olivier Teste (RCIS, 2015)

Intégration holistique et entreposage automatique des données ouvertes. (Holistic integration and automatic warehousing of open data). - Imen Megdiche (2015)

LPHOM results for OAEI 2016. - Imen Megdiche; Olivier Teste; Cássia Trojahn dos Santos (OM@ISWC, 2016)

An Extensible Linear Approach for Holistic Ontology Matching. - Imen Megdiche; Olivier Teste; Cássia Trojahn dos Santos (ISWC (1), 2016)

POMap: An Effective Pairwise Ontology Matching System. - Amir Laadhar; Faiza Ghozzi; Imen Megdiche; Franck Ravat; Olivier Teste; Faïez Gargouri (KEOD, 2017)

POMap results for OAEI 2017. - Amir Laadhar; Faiza Ghozzi; Imen Megdiche; Franck Ravat; Olivier Teste; Faïez Gargouri (OM@ISWC, 2017)

Predicting the encoding of secondary diagnoses. An experience based on decision trees. - Ghazar Chahbandarian; Nathalie Bricon-Souf; Imen Megdiche; Rémi Bastide; Jean-Christophe Steinbach (Ingénierie des Systèmes d Inf., 2017)

Boosting Holistic Ontology Matching: Generating Graph Clique-Based Relaxed Reference Alignments for Holistic Evaluation. - Philippe Roussille; Imen Megdiche; Olivier Teste; Cássia Trojahn (EKAW, 2018)

Towards predicting frailty symptoms through a smart walking stick. - Oussama Kessentini; Réjane Dalcé; Imen Megdiche; Rémi Bastide (PEMWN, 2018)

Partitioning and matching tuning of large biomedical ontologies. - Amir Laadhar; Faiza Ghozzi; Imen Megdiche; Franck Ravat; Olivier Teste (OM@ISWC, 2018)

OAEI 2018 results of POMap++. - Amir Laadhar; Faiza Ghozzi; Imen Megdiche; Franck Ravat; Olivier Teste; Faïez Gargouri (OM@ISWC, 2018)

Holontology: results of the 2018 OAEI evaluation campaign. - Philippe Roussille; Imen Megdiche; Olivier Teste; Cássia Trojahn (OM@ISWC, 2018)

The Impact of Imbalanced Training Data on Local Matching Learning of Ontologies. - Amir Laadhar; Faiza Ghozzi; Imen Megdiche; Franck Ravat; Olivier Teste; Faïez Gargouri (BIS (1), 2019)

Booster le matching holistique : un jeu d'alignement de référence basé sur les cliques relaxés. - Philippe Roussille; Imen Megdiche; Olivier Teste; Cássia Trojahn (IC, 2019)

Partitioning and local matching learning of large biomedical ontologies. - Amir Laadhar; Faiza Ghozzi; Imen Megdiche; Franck Ravat; Olivier Teste; Faïez Gargouri (SAC, 2019)

POMap++ Results for OAEI 2019: Fully Automated Machine Learning Approach for Ontology Matching. - Amir Laadhar; Faiza Ghozzi; Imen Megdiche; Franck Ravat; Olivier Teste; Faïez Gargouri (OM@ISWC, 2019)

Imbalance Prediction Among Elderly People Using Deep Learning. - Oussema Fakhfakh; Imen Megdiche; Rejane Dalce; Thierry Val (AICCSA, 2020)

Blockchain-Based Federated Learning in Medicine. - Omar El Rifai; Maelle Biotteau; Xavier de Boissezon; Imen Megdiche; Franck Ravat; Olivier Teste (AIME, 2020)

Blockchain-Based Personal Health Records for Patients' Empowerment. - Omar El Rifai; Maelle Biotteau; Xavier de Boissezon; Imen Megdiche; Franck Ravat; Olivier Teste (RCIS, 2020)

Absolute Redundancy Analysis Based on Features Selection. - Ginel Dorleon; Nathalie Bricon-Souf; Imen Megdiche; Olivier Teste (DSIT, 2021)

Qualification du biais de données dans le processus de la science des données. - Ginel Dorleon; Nathalie Bricon-Souf; Imen Megdiche; Olivier Teste (EGC, 2021)

A Zone-Based Data Lake Architecture for IoT, Small and Big Data. - Yan Zhao 022; Imen Megdiche; Franck Ravat; Vincent-nam Dang (IDEAS, 2021)

Analysis-oriented Metadata for Data Lakes. - Yan Zhao 022; Franck Ravat; Julien Aligon; Chantal Soulé-Dupuy; Gabriel Ferrettini; Imen Megdiche (IDEAS, 2021)

Metadata Management on Data Processing in Data Lakes. - Imen Megdiche; Franck Ravat; Yan Zhao 022 (SOFSEM, 2021)

Data-based algorithms and models using diabetics real data for blood glucose and hypoglycaemia prediction - A systematic literature review. - Virginie Felizardo; Nuno M. Garcia; Nuno Pombo; Imen Megdiche (Artif. Intell. Medicine, 2021)

Data Lake Ingestion Management. - Yan Zhao 022; Imen Megdiche; Franck Ravat (CoRR, 2021)

Automated Learning Approach for Genetic Diseases. - Loay Alajramy; Adel Taweel; Radi Jarrar; Elyes Lamine; Imen Megdiche (AICCSA, 2022)

Feature Selection Under Fairness and Performance Constraints. - Ginel Dorleon; Imen Megdiche; Nathalie Bricon-Souf; Olivier Teste (DaWaK, 2022)

Predicting Patient's Waiting Times in Emergency Department: A Retrospective Study in the CHIC Hospital Since 2019. - Nadhem Ben Ameur; Imene Lahyani; Rafika Thabet; Imen Megdiche; Jean-Christophe Steinbach; Elyes Lamine (MEDI Workshops, 2022)

Feature selection under fairness constraints. - Ginel Dorleon; Imen Megdiche; Nathalie Bricon-Souf; Olivier Teste (SAC, 2022)

A machine learning technique for device non-wear detection in children with ADHD. - Ibrahim Traoré; Imen Megdiche; Jérôme Marquet-Doléac; Lotfi Chaâri (AICCSA, 2023)

A Cross-Validation Approach for Classifying Physical Activity Intensity : A Case Study in Children with Attention Deficit/Hyperactivity Disorder. - Ibrahim Traoré; Imen Megdiche; Jérôme Marquet-Doléac; Lotfi Chaâri (AICCSA, 2023)

Unified Views for Querying Heterogeneous Multi-model Polystores. - Lea El Ahdab; Olivier Teste; Imen Megdiche; André Péninou (DaWaK, 2023)

A Polystore Querying System Applied to Heterogeneous and Horizontally Distributed Data. - Lea El Ahdab; Olivier Teste; Imen Megdiche; André Péninou (DEXA (1), 2023)

Interoperability of Open Science Metadata: What About the Reality? - Vincent-nam Dang; Nathalie Aussenac-Gilles; Imen Megdiche; Franck Ravat (RCIS, 2023)

A Synthetic Dataset Generation for the Uveitis Pathology Based on MedWGAN Model. - Heithem Sliman; Imen Megdiche; Sami Yangui; Aida Drira; Ines Drira; Elyes Lamine (SAC, 2023)

Hypoglycaemia prediction using information fusion and classifiers consensus. - Virginie Felizardo; Nuno M. Garcia; Imen Megdiche; Nuno Pombo; Miguel Sousa; Frantisek Babic (Eng. Appl. Artif. Intell., 2023)

FAPFID: A Fairness-Aware Approach for Protected Features and Imbalanced Data. - Ginel Dorleon; Imen Megdiche; Nathalie Bricon-Souf; Olivier Teste (Trans. Large Scale Data Knowl. Centered Syst., 2023)

MedWGAN based synthetic dataset generation for Uveitis pathology. - Heithem Sliman; Imen Megdiche; Loay Alajramy; Adel Taweel; Sami Yangui; Aida Drira; Elyes Lamine (Intell. Syst. Appl., 2023)

Multi-Task Learning Approach for Hospital Bed Requirement Prediction. - Mihiretu A. Bedada; Imen Megdiche; Elyes Lamine; Dimitri Duval (AICCSA, 2024)

Enhanced Human Activity Recognition Using Controllable GANs for Synthetic Data Generation. - Mohamed Hedi Djemaa; Imen Megdiche; Farah Jemili; Rafika Thabet; Elyes Lamine; Ouajdi Korbaa (AICCSA, 2024)

An Optimization Model for Patient Transportation Problem Within Stretchers Activity in Hospitals. - Khouloud Hamdi; Imen Megdiche; Elyes Lamine; Dimitri Duval (AICCSA, 2024)

Indoor Geolocation Demonstrator: Enhancing Efficiency Through Real-Time Tracking and AI Optimization. - Imen Toujani; Nicolas Singer; Imen Megdiche; Xavier Alacoque (AICCSA, 2024)

OSDN: An Open Science Data Network for Interdisciplinary Research. - Vincent-Nam Dang; Nathalie Aussenac-Gilles; Imen Megdiche; Franck Ravat (DASFAA (7), 2024)

Interrogation de Polystores hétérogènes multi-modèles à partir de Modèles Unifiés. - Léa El Ahdab; André Péninou; Olivier Teste; Imen Megdiche (INFORSID, 2024)

Interopérabilité des métadonnées de la Science Ouverte : qu'en est-il de la réalité ? - Vincent-Nam Dang; Nathalie Aussenac-Gilles; Imen Megdiche; Franck Ravat (INFORSID, 2024)

Unified Models and Framework for Querying Distributed Data Across Polystores. - Léa El Ahdab; Imen Megdiche; André Péninou; Olivier Teste (RCIS (1), 2024)

Enabling Interdisciplinary Research in Open Science: Open Science Data Network. - Vincent-Nam Dang; Nathalie Aussenac-Gilles; Imen Megdiche; Franck Ravat (RCIS (1), 2024)

Comparative Evaluation of Clustered Federated Learning Method. - Michael Ben Ali; Omar El Rifai; Imen Megdiche; André Péninou; Olivier Teste (CoRR, 2024)

A Survey on Cluster-based Federated Learning. - Omar El Rifai; Michael Ben Ali; Imen Megdiche; André Péninou; Olivier Teste (CoRR, 2025)