| 2026 | ICPR | Optimizing Dimensionality Reduction Hyperparameters for Improved Clustering Performance. | Imed Keraghel, Mohamed Nadif |
| 2026 | IDA | E-PAGEC: A Differentiable Joint Attributed-Graph Embedding and Clustering Model. | Imane Akdim, Loubna Mekouar, Youssef Iraqi, Mohamed Nadif |
| 2026 | SIGIR | Named Entity-Driven Graph Smoothing to Enhance Pretrained Document Embeddings in Clustering Tasks. | Imed Keraghel, Mohamed Nadif |
| 2025 | ECIR | Graph-Convolutional Networks: Named Entity Recognition and Large Language Model Embedding in Document Clustering. | Imed Keraghel, Mohamed Nadif |
| 2025 | IDA | Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM. | Noor Khalal, Abdallah Alaa-Eddine Djamai, Imed Keraghel, Mohamed Nadif |
| 2025 | WSDM | Cluster Insight: A Weighted Clustering Tool for Large Textual Data Exploration. | Amine Ferdjaoui, Sverine Affeldt, Mohamed Nadif |
| 2024 | EACL | More Discriminative Sentence Embeddings via Semantic Graph Smoothing. | Chakib Fettal, Lazhar Labiod, Mohamed Nadif |
| 2024 | IDA | Beyond Words: A Comparative Analysis of LLM Embeddings for Effective Clustering. | Imed Keraghel, Stanislas Morbieu, Mohamed Nadif |
| 2024 | WSDM | WordGraph: A Python Package for Reconstructing Interactive Causal Graphical Models from Text Data. | Amine Ferdjaoui, Sverine Affeldt, Mohamed Nadif |
| 2024 | WSDM | WSDM 2024 Workshop on Representation Learning & Clustering. | Lazhar Labiod, Mohamed Nadif, Aghiles Salah |
| 2023 | AAAI | Scalable Attributed-Graph Subspace Clustering. | Chakib Fettal, Lazhar Labiod, Mohamed Nadif |
| 2023 | ACL | Is Anisotropy Truly Harmful? A Case Study on Text Clustering. | Mira Ait Saada, Mohamed Nadif |
| 2023 | EACL | Unsupervised Anomaly Detection in Multi-Topic Short-Text Corpora. | Mira Ait Saada, Mohamed Nadif |
| 2023 | IDA | Contextual Word Embeddings Clustering Through Multiway Analysis: A Comparative Study. | Mira Ait Saada, Mohamed Nadif |
| 2023 | WSDM | Simultaneous Linear Multi-view Attributed Graph Representation Learning and Clustering. | Chakib Fettal, Lazhar Labiod, Mohamed Nadif |
| 2022 | CIKM | Subspace Co-clustering with Two-Way Graph Convolution. | Chakib Fettal, Lazhar Labiod, Mohamed Nadif |
| 2022 | SIGIR | Tensor-based Graph Modularity for Text Data Clustering. | Rafika Boutalbi, Mira Ait Saada, Anastasiia Iurshina, Steffen Staab, Mohamed Nadif |
| 2022 | WSDM | Efficient Graph Convolution for Joint Node Representation Learning and Clustering. | Chakib Fettal, Lazhar Labiod, Mohamed Nadif |
| 2021 | CIKM | How to Leverage a Multi-layered Transformer Language Model for Text Clustering: an Ensemble Approach. | Mira Ait Saada, Franois Role, Mohamed Nadif |
| 2021 | IDA | Unsupervised Methods for the Study of Transformer Embeddings. | Mira Ait Saada, Franois Role, Mohamed Nadif |
| 2021 | SIGIR | Regularized Dual-PPMI Co-clustering for Text Data. | Sverine Affeldt, Lazhar Labiod, Mohamed Nadif |
| 2020 | CIKM | Ensemble Block Co-clustering: A Unified Framework for Text Data. | Sverine Affeldt, Lazhar Labiod, Mohamed Nadif |
| 2020 | IDA | A Consensus Approach to Improve NMF Document Clustering. | Mickael Febrissy, Mohamed Nadif |
| 2019 | PAKDD | Co-clustering from Tensor Data. | Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif |
| 2019 | SIGIR | Sparse Tensor Co-clustering as a Tool for Document Categorization. | Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif |
| 2018 | AAAI | Word Co-Occurrence Regularized Non-Negative Matrix Tri-Factorization for Text Data Co-Clustering. | Aghiles Salah, Melissa Ailem, Mohamed Nadif |
| 2018 | CIKM | Unsupervised Evaluation of Text Co-clustering Algorithms Using Neural Word Embeddings. | Franois Role, Stanislas Morbieu, Mohamed Nadif |
| 2018 | ICDE | Sparse Poisson Latent Block Model for Document Clustering (Extended Abstract). | Melissa Ailem, Franois Role, Mohamed Nadif |
| 2017 | CIKM | A Way to Boost Semi-NMF for Document Clustering. | Aghiles Salah, Melissa Ailem, Mohamed Nadif |
| 2017 | PAKDD | Denoising Autoencoder as an Effective Dimensionality Reduction and Clustering of Text Data. | Milad Leyli-Abadi, Lazhar Labiod, Mohamed Nadif |
| 2017 | SIGIR | Non-negative Matrix Factorization Meets Word Embedding. | Melissa Ailem, Aghiles Salah, Mohamed Nadif |
| 2017 | SDM | Model-based von Mises-Fisher Co-clustering with a Conscience. | Aghiles Salah, Mohamed Nadif |
| 2016 | AISTATS | Model-based Co-clustering for High Dimensional Sparse Data. | Aghiles Salah, Nicoleta Rogovschi, Mohamed Nadif |
| 2016 | CIKM | SemiNMF-PCA framework for Sparse Data Co-clustering. | Kais Allab, Lazhar Labiod, Mohamed Nadif |
| 2016 | IDA | Bi-stochastic Matrix Approximation Framework for Data Co-clustering. | Lazhar Labiod, Mohamed Nadif |
| 2016 | SDM | Power Simultaneous Spectral Data Embedding and Clustering. | Kais Allab, Lazhar Labiod, Mohamed Nadif |
| 2016 | SDM | Stochastic Co-clustering for Document-Term Data. | Aghiles Salah, Nicoleta Rogovschi, Mohamed Nadif |
| 2015 | CIKM | Co-clustering Document-term Matrices by Direct Maximization of Graph Modularity. | Melissa Ailem, Franois Role, Mohamed Nadif |
| 2015 | ICDM | Simultaneous Semi-NMF and PCA for Clustering. | Kais Allab, Lazhar Labiod, Mohamed Nadif |
| 2015 | ICONIP | Multi-Manifold Matrix Tri-Factorization for Text Data Clustering. | Kais Allab, Lazhar Labiod, Mohamed Nadif |
| 2015 | ICONIP | Adaptive Threshold for Anomaly Detection Using Time Series Segmentation. | Mohamed-Cherif Dani, Franois-Xavier Jollois, Mohamed Nadif, Cassiano Freixo |
| 2015 | ICONIP | An Efficient Incremental Collaborative Filtering System. | Aghiles Salah, Nicoleta Rogovschi, Mohamed Nadif |
| 2015 | IDA | Diagonal Co-clustering Algorithm for Document-Word Partitioning. | Charlotte Laclau, Mohamed Nadif |
| 2014 | ICPRAM | Unsupervised Consensus Functions Applied to Ensemble Biclustering. | Blaise Hanczar, Mohamed Nadif |
| 2014 | ICPRAM | Aggregation of Biclustering Solutions for Ensemble Approach. | Blaise Hanczar, Mohamed Nadif |
| 2014 | IDA | Fast Simultaneous Clustering and Feature Selection for Binary Data. | Charlotte Laclau, Mohamed Nadif |
| 2013 | ICML | Precision-recall space to correct external indices for biclustering. | Blaise Hanczar, Mohamed Nadif |
| 2013 | IJCNN | A topographical nonnegative matrix factorization algorithm. | Nicoleta Rogovschi, Lazhar Labiod, Mohamed Nadif |
| 2013 | IDA | Gaussian Topographic Co-clustering Model. | Rodolphe Priam, Mohamed Nadif, Grard Govaert |
| 2012 | ICPRAM | Generative Topographic Mapping and Factor Analyzers. | Rodolphe Priam, Mohamed Nadif |
| 2012 | ICPRAM | Nonlinear Mapping by Constrained Co-clustering. | Rodolphe Priam, Mohamed Nadif, Grard Govaert |
| 2012 | IJCNN | A spectral algorithm for topographical Co-clustering. | Nicoleta Rogovschi, Lazhar Labiod, Mohamed Nadif |
| 2012 | WISE | Data Leak Aware Crowdsourcing in Social Network. | Iheb Ben Amor, Salima Benbernou, Mourad Ouziri, Mohamed Nadif, Athman Bouguettaya |
| 2011 | IC3K | Handling the Impact of Low Frequency Events on Co-occurrence based Measures of Word Similarity - A Case Study of Pointwise Mutual Information. | Franois Role, Mohamed Nadif |
| 2011 | ICDM | Co-clustering for Binary and Categorical Data with Maximum Modularity. | Lazhar Labiod, Mohamed Nadif |
| 2011 | ICONIP | Co-clustering for Binary Data with Maximum Modularity. | Lazhar Labiod, Mohamed Nadif |
| 2011 | ICONIP | Co-clustering under Nonnegative Matrix Tri-Factorization. | Lazhar Labiod, Mohamed Nadif |
| 2011 | ICONIP | Weighted Topological Clustering for Categorical Data. | Nicoleta Rogovschi, Mohamed Nadif |
| 2010 | ECAI | Bagged Biclustering for Microarray Data. | Blaise Hanczar, Mohamed Nadif |
| 2010 | ICMLA | Model-Based Co-clustering for Continuous Data. | Mohamed Nadif, Grard Govaert |
| 2010 | ISDA | Multinomial Self Organizing Maps. | Faryel Allouti, Mohamed Nadif, Benot Otjacques |
| 2009 | CDVE | Mixture Model and MDSDCA for Textual Data. | Faryel Allouti, Mohamed Nadif, Le Thi Hoai An, Benot Otjacques |
| 2007 | RCIS | Clustering and assessing the number of clusters with accelerated EM variant. | Franois-Xavier Jollois, Mohamed Nadif |
| 2006 | ICDM | Probabilistic Enhanced Mapping with the Generative Tabular Model. | Rodolphe Priam, Mohamed Nadif |
| 2005 | AICCSA | Block clustering via the block GEM and two-way EM algorithms. | Mohamed Nadif, Grard Govaert |
| 2005 | IDA | Block Clustering of Contingency Table and Mixture Model. | Mohamed Nadif, Grard Govaert |
| 2002 | PAKDD | Clustering Large Categorical Data. | Franois-Xavier Jollois, Mohamed Nadif |