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Publication search results
found 160 matches
- 2024
- Chakib Fettal, Lazhar Labiod, Mohamed Nadif:
Boosting Subspace Co-Clustering via Bilateral Graph Convolution. IEEE Trans. Knowl. Data Eng. 36(3): 960-971 (2024) - Lazhar Labiod, Mohamed Nadif:
Power Attributed Graph Embedding and Clustering. IEEE Trans. Neural Networks Learn. Syst. 35(1): 1439-1444 (2024) - Chakib Fettal, Lazhar Labiod, Mohamed Nadif:
More Discriminative Sentence Embeddings via Semantic Graph Smoothing. EACL (2) 2024: 8-13 - Imed Keraghel, Stanislas Morbieu, Mohamed Nadif:
Beyond Words: A Comparative Analysis of LLM Embeddings for Effective Clustering. IDA (1) 2024: 205-216 - Amine Ferdjaoui, Séverine Affeldt, Mohamed Nadif:
WordGraph: A Python Package for Reconstructing Interactive Causal Graphical Models from Text Data. WSDM 2024: 1046-1049 - Lazhar Labiod, Mohamed Nadif, Aghiles Salah:
WSDM 2024 Workshop on Representation Learning & Clustering. WSDM 2024: 1214-1215 - Imed Keraghel, Stanislas Morbieu, Mohamed Nadif:
A survey on recent advances in named entity recognition. CoRR abs/2401.10825 (2024) - Chakib Fettal, Lazhar Labiod, Mohamed Nadif:
Graph Cuts with Arbitrary Size Constraints Through Optimal Transport. CoRR abs/2402.04732 (2024) - Chakib Fettal, Lazhar Labiod, Mohamed Nadif:
Scalable Multi-view Clustering via Explicit Kernel Features Maps. CoRR abs/2402.04794 (2024) - Chakib Fettal, Lazhar Labiod, Mohamed Nadif:
More Discriminative Sentence Embeddings via Semantic Graph Smoothing. CoRR abs/2402.12890 (2024) - 2023
- Paul Riverain, Simon Fossier, Mohamed Nadif:
Poisson degree corrected dynamic stochastic block model. Adv. Data Anal. Classif. 17(1): 135-162 (2023) - Chakib Fettal, Lazhar Labiod, Mohamed Nadif:
Scalable Attributed-Graph Subspace Clustering. AAAI 2023: 7559-7567 - Mira Ait Saada, Mohamed Nadif:
Is Anisotropy Truly Harmful? A Case Study on Text Clustering. ACL (2) 2023: 1194-1203 - Mira Ait Saada, Mohamed Nadif:
Unsupervised Anomaly Detection in Multi-Topic Short-Text Corpora. EACL 2023: 1384-1395 - Amine Ferdjaoui, Amira Tlati, Séverine Affeldt, Mohamed Nadif:
CORPEX : Analyse exploratoire d'un corpus biomédical à l'aide de la classification croisée. EGC 2023: 597-604 - Chakib Fettal, Lazhar Labiod, Mohamed Nadif:
Subspace Co-clustering avec Convolution Bilatérale sur Graphe. EGC 2023: 475-482 - Chakib Fettal, Lazhar Labiod, Mohamed Nadif:
Biclustering Basé sur le Transport Optimal. EGC 2023: 539-546 - Mira Ait Saada, Mohamed Nadif:
Etude approfondie des représentations de données textuelles dans l'apprentissage non supervisé. EGC 2023: 361-368 - Mira Ait Saada, Mohamed Nadif:
Contextual Word Embeddings Clustering Through Multiway Analysis: A Comparative Study. IDA 2023: 1-14 - Louis Falissard, Séverine Affeldt, Mohamed Nadif:
Attentive Perturbation: Extending Prefix Tuning to Large Language Models Inner Representations. LOD (1) 2023: 488-496 - Chakib Fettal, Lazhar Labiod, Mohamed Nadif:
Simultaneous Linear Multi-view Attributed Graph Representation Learning and Clustering. WSDM 2023: 303-311 - 2022
- Louis Geiler, Séverine Affeldt, Mohamed Nadif:
An effective strategy for churn prediction and customer profiling. Data Knowl. Eng. 142: 102100 (2022) - Louis Geiler, Séverine Affeldt, Mohamed Nadif:
A survey on machine learning methods for churn prediction. Int. J. Data Sci. Anal. 14(3): 217-242 (2022) - Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif:
TensorClus: A python library for tensor (Co)-clustering. Neurocomputing 468: 464-468 (2022) - Mickael Febrissy, Aghiles Salah, Melissa Ailem, Mohamed Nadif:
Improving NMF clustering by leveraging contextual relationships among words. Neurocomputing 495: 105-117 (2022) - Séverine Affeldt, Lazhar Labiod, Mohamed Nadif:
CAEclust: A Consensus of Autoencoders Representations for Clustering. Image Process. Line 12: 590-603 (2022) - Paul Riverain, Simon Fossier, Mohamed Nadif:
Semi-supervised Latent Block Model with pairwise constraints. Mach. Learn. 111(5): 1739-1764 (2022) - Chakib Fettal, Lazhar Labiod, Mohamed Nadif:
Subspace Co-clustering with Two-Way Graph Convolution. CIKM 2022: 3938-3942 - Chakib Fettal, Lazhar Labiod, Mohamed Nadif:
Apprentissage Joint de la Représentation et du Clustering avec un Réseau Convolutif sur Graphe. EGC 2022: 363-370 - Louis Geiler, Séverine Affeldt, Mohamed Nadif:
Apprentissage machine pour la prédiction de l'attrition: une étude comparative. EGC 2022: 135-146
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