Mohamed Nadif


2015

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Co-clustering Document-term Matrices by Direct Maximization of Graph Modularity
Melissa Ailem | François Role | Mohamed Nadif
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, CIKM 2015, Melbourne, VIC, Australia, October 19 - 23, 2015

2016

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SemiNMF-PCA framework for Sparse Data Co-clustering
Kais Allab | Lazhar Labiod | Mohamed Nadif
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016

2017

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Non-negative Matrix Factorization Meets Word Embedding
Melissa Ailem | Aghiles Salah | Mohamed Nadif
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017

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A Way to Boost Semi-NMF for Document Clustering
Aghiles Salah | Melissa Ailem | Mohamed Nadif
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017

2018

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Unsupervised Evaluation of Text Co-clustering Algorithms Using Neural Word Embeddings
François Role | Stanislas Morbieu | Mohamed Nadif
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018

2019

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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, SIGIR 2019, Paris, France, July 21-25, 2019

2020

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Ensemble Block Co-clustering: A Unified Framework for Text Data
Séverine Affeldt | Lazhar Labiod | Mohamed Nadif
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020

2021

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Regularized Dual-PPMI Co-clustering for Text Data
Séverine Affeldt | Lazhar Labiod | Mohamed Nadif
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021