| Co-clustering document-term matrices by direct maximization of graph modularity M Ailem, F Role, M Nadif Proceedings of the 24th ACM International on Conference on Information and …, 2015 | 21 | 2015 |
| Sparse poisson latent block model for document clustering M Ailem, F Role, M Nadif IEEE Transactions on Knowledge and Data Engineering 29 (7), 1563-1576, 2017 | 20 | 2017 |
| Graph modularity maximization as an effective method for co-clustering text data M Ailem, F Role, M Nadif Knowledge-Based Systems 109, 160-173, 2016 | 19 | 2016 |
| Unsupervised text mining for assessing and augmenting GWAS results M Ailem, F Role, M Nadif, F Demenais Journal of biomedical informatics 60, 252-259, 2016 | 15 | 2016 |
| Model-based co-clustering for the effective handling of sparse data M Ailem, F Role, M Nadif Pattern Recognition 72, 108-122, 2017 | 9 | 2017 |
| Non-negative matrix factorization meets word embedding M Ailem, A Salah, M Nadif Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017 | 7 | 2017 |
| Word Co-Occurrence Regularized Non-Negative Matrix Tri-Factorization for Text Data Co-Clustering A Salah, M Ailem, M Nadif Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 5 | 2018 |
| A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images M Ailem, B Zhang, A Bellet, P Denis, F Sha EMNLP, 2018 | 1 | 2018 |
| A way to boost semi-nmf for document clustering A Salah, M Ailem, M Nadif Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 1 | 2017 |
| Topic Augmented Generator for Abstractive Summarization M Ailem, B Zhang, F Sha arXiv preprint arXiv:1908.07026, 2019 | | 2019 |
| Amortized Inference of Variational Bounds for Learning Noisy-OR Y Yan, M Ailem, F Sha arXiv preprint arXiv:1906.02428, 2019 | | 2019 |
| 2017 Index IEEE Transactions on Knowledge and Data Engineering Vol. 29 S Aanen, E Abdelhamid, A Aboulnaga, B Adhikari, N Advokaat, ... IEEE Transactions on Knowledge and Data Engineering 30 (1), 1, 2018 | | 2018 |
| Sparsity-sensitive diagonal co-clustering algorithms for the effective handling of text data M Ailem Sorbonne Paris Cité, 2016 | | 2016 |
| Factorisation matricielle non-négative sémantique M Febrissy, A Salah, M Ailem, M Nadif Société Francophone de Classification (SFC) Actes des 26èmes Rencontres, 15, 0 | | |
Aghiles SalahSingapore Management UniversityAdresse e-mail validée de parisdescartes.fr
