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Rafika Boutalbi
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2020 – today
- 2024
- [c7]Karima Boutalbi, Rafika Boutalbi, Hervé Verjus, Kavé Salamatian, David Telisson, Olivier Le Van:
IEcons: A New Consensus Approach Using Multi-Text Representations for Clustering Task. CIKM 2024: 3632-3636 - [c6]Karima Boutalbi, Rafika Boutalbi, Hervé Verjus, Kavé Salamatian:
Hierarchical Tensor Clustering for Multiple Graphs Representation. WWW (Companion Volume) 2024: 613-616 - 2023
- [d1]Anastasiia Iurshina
, Jiaxin Pan
Data for: NILK, entity linking dataset targeting NIL-linking cases. DaRUS, 2023 - 2022
- [j3]Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif:
TensorClus: A python library for tensor (Co)-clustering. Neurocomputing 468: 464-468 (2022) - [c5]Anastasiia Iurshina, Jiaxin Pan, Rafika Boutalbi, Steffen Staab
NILK: Entity Linking Dataset Targeting NIL-linking Cases. CIKM 2022: 4069-4073 - [c4]Rafika Boutalbi, Mira Ait Saada, Anastasiia Iurshina, Steffen Staab
Tensor-based Graph Modularity for Text Data Clustering. SIGIR 2022: 2227-2231 - 2021
- [j2]Rafika Boutalbi
Implicit consensus clustering from multiple graphs. Data Min. Knowl. Discov. 35(6): 2313-2340 (2021) - 2020
- [b1]Rafika Boutalbi:
Model-based tensor (co)-clustering and applications. (Classification croisée de données tensorielles et applications). Paris Cité University, France, 2020 - [j1]Rafika Boutalbi
Tensor latent block model for co-clustering. Int. J. Data Sci. Anal. 10(2): 161-175 (2020) - [c3]Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif:
Défi EGC 2020 : Analyse tensorielle de données issues de la conférence EGC. EGC 2020: 217-228
2010 – 2019
- 2019
- [c2]Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif:
Co-clustering from Tensor Data. PAKDD (1) 2019: 370-383 - [c1]Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif:
Sparse Tensor Co-clustering as a Tool for Document Categorization. SIGIR 2019: 1157-1160
Coauthor Index
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