| 2026 | ICAART | Artificial Intelligence and Big Data in Social Media Analytics: A Comprehensive Review of Methods, Applications and Trends. | Hichem Dabbchi, Nahla Haddar, Haytham Elghazel, Kais Haddar |
| 2026 | ISMIS | Diagnosing Hallucinations in RAG-Based Educational Recommendation Systems: A Controlled Comparative Study. | Ichrak Ennaceur, Haytham Elghazel, Alexandre Aussem, Guillaume Lefebvre, Matthieu Sonnati |
| 2025 | AICCSA | Prompt-Based Recommendation with In-Context Learning and Category-Enriched Modeling. | Ichrak Ennaceur, Haytham Elghazel, Alexandre Aussem, Guillaume Lefebvre, Matthieu Sonnati |
| 2025 | WISE | CLARE: A Category-Aware RAG-Based Framework for Recommending Learning Objects in Education and Professional Training. | Ichrak Ennaceur, Haytham Elghazel, Alexandre Aussem, Guillaume Lefebvre, Matthieu Sonnati |
| 2023 | AICCSA | A New Time-Aware LSTM based Framework for Multi-label Classification on Healthcare Data. | Abdelhamid Gaddari, Haytham Elghazel, Rakia Jaziri, Mohand-Said Hacid, Pierre-Henri Comble |
| 2023 | DaWaK | Accounting for Imputation Uncertainty During Neural Network Training. | Thomas Ranvier, Haytham Elghazel, Emmanuel Coquery, Khalid Benabdeslem |
| 2023 | SAC | BERTEPro : A new Sentence Embedding Framework for the Education and Professional Training domain. | Guillaume Lefebvre, Haytham Elghazel, Thodore Guillet, Alexandre Aussem, Matthieu Sonnati |
| 2022 | ICONIP | Multi-view Self-attention for Regression Domain Adaptation with Feature Selection. | Mehdi Hennequin, Khalid Benabdeslem, Haytham Elghazel, Thomas Ranvier, Eric Michoux |
| 2022 | ICONIP | Autoencoder-Based Attribute Noise Handling Method for Medical Data. | Thomas Ranvier, Haytham Elghazel, Emmanuel Coquery, Khalid Benabdeslem |
| 2022 | IJCNN | Localized Feature Ranking approach for Multi-Target Regression. | Hugo Bertrand, Haytham Elghazel, Sahar Masmoudi, Emmanuel Coquery, Mohand-Sad Hacid |
| 2022 | IJCNN | Adversarial Multi - View Domain Adaptation for Regression. | Mehdi Hennequin, Khalid Benabdeslem, Haytham Elghazel |
| 2021 | ICDAR | Data-Efficient Information Extraction from Documents with Pre-trained Language Models. | Clment Sage, Thibault Douzon, Alex Aussem, Vronique Eglin, Haytham Elghazel, Stefan Duffner, Christophe Garcia, Jrmy Espinas |
| 2020 | HIS | NoSQL Data Lake: A Big Data Source from Social Media. | Hichem Dabbchi, Nahla Zaaboub Haddar, Haytham Elghazel, Kais Haddar |
| 2020 | ICTAI | Identifying Conditionally Independent Target Subsets for Multi-Target Regression*Note: Sub-titles are not captured in Xplore and should not be used. | Orhan Yazar, Haytham Elghazel, Mohand-Sad Hacid, Nathalie Castin |
| 2020 | ISDA | Social Media Data Integration: From Data Lake to NoSQL Data Warehouse. | Hichem Dabbchi, Nahla Zaaboub Haddar, Haytham Elghazel, Kais Haddar |
| 2019 | ICDAR | Recurrent Neural Network Approach for Table Field Extraction in Business Documents. | Clment Sage, Alexandre Aussem, Haytham Elghazel, Vronique Eglin, Jrmy Espinas |
| 2019 | ICONIP | Conditionally Decorrelated Multi-Target Regression. | Orhan Yazar, Haytham Elghazel, Mohand-Said Hacid, Nathalie Castin |
| 2016 | ICDM | A Semi-Supervised Ensemble Approach for Multi-label Learning. | Ouadie Gharroudi, Haytham Elghazel, Alexandre Aussem |
| 2016 | ICDM | Similarity Tree Pruning: A Novel Dynamic Ensemble Selection Approach. | Anil Narassiguin, Haytham Elghazel, Alex Aussem |
| 2016 | IJCNN | Semi-supervised co-selection: Features and instances by a weighting approach. | Raywat Makkhongkaew, Khalid Benabdeslem, Haytham Elghazel |
| 2015 | ICML | On the Optimality of Multi-Label Classification under Subset Zero-One Loss for Distributions Satisfying the Composition Property. | Maxime Gasse, Alexandre Aussem, Haytham Elghazel |
| 2015 | ICONIP | Calibrated k-labelsets for Ensemble Multi-label Classification. | Ouadie Gharroudi, Haytham Elghazel, Alex Aussem |
| 2015 | ICTAI | Ensemble Multi-label Classification: A Comparative Study on Threshold Selection and Voting Methods. | Ouadie Gharroudi, Haytham Elghazel, Alex Aussem |
| 2014 | AI | A Comparison of Multi-Label Feature Selection Methods Using the Random Forest Paradigm. | Ouadie Gharroudi, Haytham Elghazel, Alex Aussem |
| 2012 | DASFAA | A Relational-Based Approach for Aggregated Search in Graph Databases. | Thanh-Huy Le, Haytham Elghazel, Mohand-Said Hacid |
| 2011 | ADMA | A Graph Enrichment Based Clustering over Vertically Partitioned Data. | Khalid Benabdeslem, Brice Effantin, Haytham Elghazel |
| 2011 | CAIP | Graph Aggregation Based Image Modeling and Indexing for Video Annotation. | Najib Ben Aoun, Haytham Elghazel, Mohand-Said Hacid, Chokri Ben Amar |
| 2011 | ICDM | Semi-supervised Feature Importance Evaluation with Ensemble Learning. | Hasna Barkia, Haytham Elghazel, Alex Aussem |
| 2010 | ESANN | Consensus clustering by graph based approach. | Haytham Elghazel, Khalid Benabdeslem, Fatma Hamdi |
| 2010 | ICANN | A Graph Based Framework for Clustering and Characterization of SOM. | Rakia Jaziri, Khalid Benabdeslem, Haytham Elghazel |
| 2010 | ICDM | Feature Selection for Unsupervised Learning Using Random Cluster Ensembles. | Haytham Elghazel, Alex Aussem |
| 2009 | ADMA | McSOM: Minimal Coloring of Self-Organizing Map. | Haytham Elghazel, Khalid Benabdeslem, Hamamache Kheddouci |
| 2008 | DIS | An Integrated Graph and Probability Based Clustering Framework for Sequential Data. | Haytham Elghazel, Tetsuya Yoshida, Mohand-Said Hacid |
| 2007 | DaWaK | Constrained Graph b-Coloring Based Clustering Approach. | Haytham Elghazel, Khalid Benabdeslem, Alain Dussauchoy |
| 2007 | DIS | A Partially Dynamic Clustering Algorithm for Data Insertion and Removal. | Haytham Elghazel, Hamamache Kheddouci, Vronique Deslandres, Alain Dussauchoy |
| 2006 | ISMIS | A New Clustering Approach for Symbolic Data and Its Validation: Application to the Healthcare Data. | Haytham Elghazel, Vronique Deslandres, Mohand-Said Hacid, Alain Dussauchoy, Hamamache Kheddouci |