Mohamed Nadif

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 87

Top Venues

University of Metz, France (PHD)

Education History

University of Metz, France

PHD

Publications

Chakib Fettal, Lazhar Labiod, Mohamed Nadif
More Discriminative Sentence Embeddings via Semantic Graph Smoothing. CoRR (2024)
Imed Keraghel, Stanislas Morbieu, Mohamed Nadif
Beyond Words: A Comparative Analysis of LLM Embeddings for Effective Clustering. IDA (1) (2024)
Imed Keraghel, Stanislas Morbieu, Mohamed Nadif
A survey on recent advances in named entity recognition. CoRR (2024)
Chakib Fettal, Lazhar Labiod, Mohamed Nadif
More Discriminative Sentence Embeddings via Semantic Graph Smoothing. EACL (2) (2024)
Chakib Fettal, Lazhar Labiod, Mohamed Nadif
Graph Cuts with Arbitrary Size Constraints Through Optimal Transport. CoRR (2024)
Lazhar Labiod, Mohamed Nadif
Power Attributed Graph Embedding and Clustering. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Chakib Fettal, Lazhar Labiod, Mohamed Nadif
Boosting Subspace Co-Clustering via Bilateral Graph Convolution. IEEE Trans. Knowl. Data Eng. 36 (3) (2024)
Chakib Fettal, Lazhar Labiod, Mohamed Nadif
Scalable Multi-view Clustering via Explicit Kernel Features Maps. CoRR (2024)
Amine Ferdjaoui, Séverine Affeldt, Mohamed Nadif
WordGraph: A Python Package for Reconstructing Interactive Causal Graphical Models from Text Data. WSDM (2024)
Lazhar Labiod, Mohamed Nadif, Aghiles Salah
WSDM 2024 Workshop on Representation Learning & Clustering. WSDM (2024)
Amine Ferdjaoui, Amira Tlati, Séverine Affeldt, Mohamed Nadif
CORPEX : Analyse exploratoire d'un corpus biomédical à l'aide de la classification croisée. EGC (2023)
Chakib Fettal, Lazhar Labiod, Mohamed Nadif
Scalable Attributed-Graph Subspace Clustering. AAAI (2023)
Chakib Fettal, Lazhar Labiod, Mohamed Nadif
Biclustering Basé sur le Transport Optimal. EGC (2023)
Louis Falissard, Séverine Affeldt, Mohamed Nadif
Attentive Perturbation: Extending Prefix Tuning to Large Language Models Inner Representations. LOD (1) (2023)
Mira Ait Saada, Mohamed Nadif
Unsupervised Anomaly Detection in Multi-Topic Short-Text Corpora. EACL (2023)
Mira Ait Saada, Mohamed Nadif
Contextual Word Embeddings Clustering Through Multiway Analysis: A Comparative Study. IDA (2023)
Paul Riverain, Simon Fossier, Mohamed Nadif
Poisson degree corrected dynamic stochastic block model. Adv. Data Anal. Classif. 17 (1) (2023)
Chakib Fettal, Lazhar Labiod, Mohamed Nadif
Subspace Co-clustering avec Convolution Bilatérale sur Graphe. EGC (2023)
Mira Ait Saada, Mohamed Nadif
Etude approfondie des représentations de données textuelles dans l'apprentissage non supervisé. EGC (2023)
Chakib Fettal, Lazhar Labiod, Mohamed Nadif
Simultaneous Linear Multi-view Attributed Graph Representation Learning and Clustering. WSDM (2023)
Mira Ait Saada, Mohamed Nadif
Is Anisotropy Truly Harmful? A Case Study on Text Clustering. ACL (2) (2023)
Mickael Febrissy, Aghiles Salah, Melissa Ailem, Mohamed Nadif
Improving NMF clustering by leveraging contextual relationships among words. Neurocomputing 495 (2022)
Chakib Fettal, Lazhar Labiod, Mohamed Nadif
Apprentissage Joint de la Représentation et du Clustering avec un Réseau Convolutif sur Graphe. EGC (2022)
Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif
TensorClus: A python library for tensor (Co)-clustering. Neurocomputing 468 (2022)
Paul Riverain, Simon Fossier, Mohamed Nadif
Semi-supervised Latent Block Model with pairwise constraints. Mach. Learn. 111 (5) (2022)
Chakib Fettal, Lazhar Labiod, Mohamed Nadif
Efficient Graph Convolution for Joint Node Representation Learning and Clustering. WSDM (2022)
Chakib Fettal, Lazhar Labiod, Mohamed Nadif
Subspace Co-clustering with Two-Way Graph Convolution. CIKM (2022)
Mira Ait Saada, François Role, Mohamed Nadif
Classification non supervisée de documents à partir des modèles Transformeurs. EGC (2022)
Louis Geiler, Séverine Affeldt, Mohamed Nadif
An effective strategy for churn prediction and customer profiling. Data Knowl. Eng. 142 (2022)
Rafika Boutalbi, Mira Ait Saada, Anastasiia Iurshina, Steffen Staab, Mohamed Nadif
Tensor-based Graph Modularity for Text Data Clustering. SIGIR (2022)
Louis Geiler, Séverine Affeldt, Mohamed Nadif
A survey on machine learning methods for churn prediction. Int. J. Data Sci. Anal. 14 (3) (2022)
Chakib Fettal, Lazhar Labiod, Mohamed Nadif
Efficient and Effective Optimal Transport-Based Biclustering. NeurIPS (2022)
Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
CAEclust: A Consensus of Autoencoders Representations for Clustering. Image Process. Line 12 (2022)
Louis Geiler, Séverine Affeldt, Mohamed Nadif
Apprentissage machine pour la prédiction de l'attrition: une étude comparative. EGC (2022)
Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif
Implicit consensus clustering from multiple graphs. Data Min. Knowl. Discov. 35 (6) (2021)
Mohamed Nadif, François Role
Unsupervised and self-supervised deep learning approaches for biomedical text mining. Briefings Bioinform. 22 (2) (2021)
Mira Ait Saada, François Role, Mohamed Nadif
How to Leverage a Multi-layered Transformer Language Model for Text Clustering: an Ensemble Approach. CIKM (2021)
Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
Approche ensemble pour le co-clustering par blocs sur des données textuelles: Application au biomédical. EGC (2021)
Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
Regularized Dual-PPMI Co-clustering for Text Data. SIGIR (2021)
Lazhar Labiod, Mohamed Nadif
Efficient regularized spectral data embedding. Adv. Data Anal. Classif. 15 (1) (2021)
Paul Riverain, Simon Fossier, Mohamed Nadif
Model-based Poisson co-clustering for Attributed Networks. ICDM (Workshops) (2021)
Paul Riverain, Simon Fossier, Mohamed Nadif
Modèle à Blocs Stochastiques corrigé en degrés pour des graphes dynamiques. EGC (2021)
Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
Méthode ensemble de clustering profond. EGC (2021)
Mira Ait Saada, François Role, Mohamed Nadif
Unsupervised Methods for the Study of Transformer Embeddings. IDA (2021)
Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
Regularized bi-directional co-clustering. Stat. Comput. 31 (3) (2021)
Mickael Febrissy, Mohamed Nadif
A Consensus Approach to Improve NMF Document Clustering. IDA (2020)
Mickael Febrissy, Mohamed Nadif
Wasserstein Embeddings for Nonnegative Matrix Factorization. LOD (1) (2020)
Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
Ensemble Block Co-clustering: A Unified Framework for Text Data. CIKM (2020)
Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif
Défi EGC 2020 : Analyse tensorielle de données issues de la conférence EGC. EGC (2020)
Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif
Tensor latent block model for co-clustering. Int. J. Data Sci. Anal. 10 (2) (2020)
Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
Spectral clustering via ensemble deep autoencoder learning (SC-EDAE). Pattern Recognit. 108 (2020)
Aghiles Salah, Mohamed Nadif
Directional co-clustering. Adv. Data Anal. Classif. 13 (3) (2019)
Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif
Co-clustering from Tensor Data. PAKDD (1) (2019)
Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
Spectral Clustering via Ensemble Deep Autoencoder Learning (SC-EDAE). CoRR (2019)
Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif
Sparse Tensor Co-clustering as a Tool for Document Categorization. SIGIR (2019)
Blaise Hanczar, Mohamed Nadif
Controlling and Visualizing the Precision-Recall Tradeoff for External Performance Indices. ECML/PKDD (1) (2018)
Kais Allab, Lazhar Labiod, Mohamed Nadif
Simultaneous Spectral Data Embedding and Clustering. IEEE Trans. Neural Networks Learn. Syst. 29 (12) (2018)
Aghiles Salah, Melissa Ailem, Mohamed Nadif
Word Co-Occurrence Regularized Non-Negative Matrix Tri-Factorization for Text Data Co-Clustering. AAAI (2018)
François Role, Stanislas Morbieu, Mohamed Nadif
Unsupervised Evaluation of Text Co-clustering Algorithms Using Neural Word Embeddings. CIKM (2018)
Gérard Govaert, Mohamed Nadif
Mutual information, phi-squared and model-based co-clustering for contingency tables. Adv. Data Anal. Classif. 12 (3) (2018)
Melissa Ailem, François Role, Mohamed Nadif
Sparse Poisson Latent Block Model for Document Clustering (Extended Abstract). ICDE (2018)
Kais Allab, Lazhar Labiod, Mohamed Nadif
Erratum to 'Multi-Manifold Matrix Decomposition for Data Co-clustering' Pattern Recognition 64 (2017) 386-398. Pattern Recognit. 69 (2017)
Melissa Ailem, Aghiles Salah, Mohamed Nadif
Non-negative Matrix Factorization Meets Word Embedding. SIGIR (2017)
Kais Allab, Lazhar Labiod, Mohamed Nadif
A Semi-NMF-PCA Unified Framework for Data Clustering. IEEE Trans. Knowl. Data Eng. 29 (1) (2017)
Aghiles Salah, Melissa Ailem, Mohamed Nadif
A Way to Boost Semi-NMF for Document Clustering. CIKM (2017)
Kais Allab, Lazhar Labiod, Mohamed Nadif
Multi-manifold matrix decomposition for data co-clustering. Pattern Recognit. 64 (2017)
Melissa Ailem, François Role, Mohamed Nadif
Model-based co-clustering for the effective handling of sparse data. Pattern Recognit. 72 (2017)
Nicolas Médoc, Mohammad Ghoniem, Mohamed Nadif
Analyse exploratoire de corpus textuels pour le journalisme d'investigation. EGC (2017)
Melissa Ailem, François Role, Mohamed Nadif
Sparse Poisson Latent Block Model for Document Clustering. IEEE Trans. Knowl. Data Eng. 29 (7) (2017)
Aghiles Salah, Mohamed Nadif
Model-based von Mises-Fisher Co-clustering with a Conscience. SDM (2017)
Charlotte Laclau, Mohamed Nadif
Diagonal latent block model for binary data. Stat. Comput. 27 (5) (2017)
Milad Leyli-Abadi, Lazhar Labiod, Mohamed Nadif
Denoising Autoencoder as an Effective Dimensionality Reduction and Clustering of Text Data. PAKDD (2) (2017)
Aghiles Salah, Mohamed Nadif
Social regularized von Mises-Fisher mixture model for item recommendation. Data Min. Knowl. Discov. 31 (5) (2017)
Rodolphe Priam, Mohamed Nadif
Data visualization via latent variables and mixture models: a brief survey. Pattern Anal. Appl. 19 (3) (2016)
Aghiles Salah, Nicoleta Rogovschi, Mohamed Nadif
Model-based Co-clustering for High Dimensional Sparse Data. AISTATS (2016)
Aghiles Salah, Nicoleta Rogovschi, Mohamed Nadif
A dynamic collaborative filtering system via a weighted clustering approach. Neurocomputing 175 (2016)
Melissa Ailem, François Role, Mohamed Nadif
Graph modularity maximization as an effective method for co-clustering text data. Knowl. Based Syst. 109 (2016)
Nicolas Médoc, Mohammad Ghoniem, Mohamed Nadif
Vers une approche Visual Analytics pour explorer les variantes de sujets d'un corpus. EGC (2016)
Nicolas Médoc, Mohammad Ghoniem, Mohamed Nadif
Exploratory Analysis of Text Collections Through Visualization and Hybrid Biclustering. ECML/PKDD (3) (2016)
Aghiles Salah, Nicoleta Rogovschi, Mohamed Nadif
Stochastic Co-clustering for Document-Term Data. SDM (2016)
Kais Allab, Lazhar Labiod, Mohamed Nadif
Power Simultaneous Spectral Data Embedding and Clustering. SDM (2016)
Lazhar Labiod, Mohamed Nadif
Bi-stochastic Matrix Approximation Framework for Data Co-clustering. IDA (2016)
Rodolphe Priam, Mohamed Nadif, Gérard Govaert
Generalized topographic block model. Neurocomputing 173 (2016)
Nicolas Médoc, Mohammad Ghoniem, Mohamed Nadif
Visual exploration of topic variants through a hybrid biclustering approach. IHM (2016)
Charlotte Laclau, Mohamed Nadif
Hard and fuzzy diagonal co-clustering for document-term partitioning. Neurocomputing 193 (2016)
Kais Allab, Lazhar Labiod, Mohamed Nadif
SemiNMF-PCA framework for Sparse Data Co-clustering. CIKM (2016)
Melissa Ailem, François Role, Mohamed Nadif, Florence Demenais
Unsupervised text mining for assessing and augmenting GWAS results. J. Biomed. Informatics 60 (2016)
Kais Allab, Lazhar Labiod, Mohamed Nadif
Multi-Manifold Matrix Tri-Factorization for Text Data Clustering. ICONIP (1) (2015)
Melissa Ailem, François Role, Mohamed Nadif
Co-clustering Document-term Matrices by Direct Maximization of Graph Modularity. CIKM (2015)
Aghiles Salah, Nicoleta Rogovschi, Mohamed Nadif
An Efficient Incremental Collaborative Filtering System. ICONIP (3) (2015)
Lazhar Labiod, Mohamed Nadif
A Unified Framework for Data Visualization and Coclustering. IEEE Trans. Neural Networks Learn. Syst. 26 (9) (2015)
Kais Allab, Lazhar Labiod, Mohamed Nadif
Simultaneous Semi-NMF and PCA for Clustering. ICDM (2015)
Aghiles Salah, Nicoleta Rogovschi, François Role, Mohamed Nadif
Pour une meilleure exploitation de la classification croisée dans les systèmes de filtrage collaboratif. EGC (2015)
Charlotte Laclau, Mohamed Nadif
Diagonal Co-clustering Algorithm for Document-Word Partitioning. IDA (2015)
Charlotte Laclau, Francisco de A. T. de Carvalho, Mohamed Nadif
Fuzzy co-clustering with automated variable weighting. FUZZ-IEEE (2015)
Mohamed-Cherif Dani, François-Xavier Jollois, Mohamed Nadif, Cassiano Freixo
Adaptive Threshold for Anomaly Detection Using Time Series Segmentation. ICONIP (3) (2015)
Blaise Hanczar, Mohamed Nadif
Compromis précision-rappel dans l'évaluation des performances. EGC (2015)
Blaise Hanczar, Mohamed Nadif
Aggregation of Biclustering Solutions for Ensemble Approach. ICPRAM (Selected Papers) (2014)
François Role, Mohamed Nadif
Beyond cluster labeling: Semantic interpretation of clusters' contents using a graph representation. Knowl. Based Syst. 56 (2014)
Blaise Hanczar, Mohamed Nadif
Unsupervised Consensus Functions Applied to Ensemble Biclustering. ICPRAM (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mohamed Nadif