Rafika Boutalbi

According to our database, Rafika Boutalbi authored at least 13 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Multi-view Topic Modeling Using Multi-text Representations.

Abilasha S, Rafika Boutalbi, Stéphane Delliaux

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

2024

Hierarchical Tensor Clustering for Multiple Graphs Representation.

Karima Boutalbi, Rafika Boutalbi, Hervé Verjus, Kavé Salamatian

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

IEcons: A New Consensus Approach Using Multi-Text Representations for Clustering Task.

Karima Boutalbi, Rafika Boutalbi, Hervé Verjus, Kavé Salamatian, David Telisson, Olivier Le Van

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Data for: NILK, entity linking dataset targeting NIL-linking cases.

Anastasiia Iurshina, Jiaxin Pan, Rafika Boutalbi, Steffen Staab

Dataset, June, 2023

2022

TensorClus: A python library for tensor (Co)-clustering.

Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif

Neurocomputing, 2022

Tensor-based Graph Modularity for Text Data Clustering.

Rafika Boutalbi, Mira Ait Saada, Anastasiia Iurshina, Steffen Staab, Mohamed Nadif

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

NILK: Entity Linking Dataset Targeting NIL-linking Cases.

Anastasiia Iurshina, Jiaxin Pan, Rafika Boutalbi, Steffen Staab

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Implicit consensus clustering from multiple graphs.

Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif

Data Min. Knowl. Discov., 2021

2020

Model-based tensor (co)-clustering and applications. (Classification croisée de données tensorielles et applications).

Rafika Boutalbi

PhD thesis, 2020

Tensor latent block model for co-clustering.

Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif

Int. J. Data Sci. Anal., 2020

Défi EGC 2020 : Analyse tensorielle de données issues de la conférence EGC.

Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif

Proceedings of the Extraction et Gestion des Connaissances, 2020

2019

Sparse Tensor Co-clustering as a Tool for Document Categorization.

Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Co-clustering from Tensor Data.

Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019