| 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 | 39 | 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 | 38 | 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 | 35 | 2016 |
| Word co-occurrence regularized non-negative matrix tri-factorization for text data co-clustering A Salah, M Ailem, M Nadif Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 28 | 2018 |
| 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 | 26 | 2017 |
| Model-based co-clustering for the effective handling of sparse data M Ailem, F Role, M Nadif Pattern Recognition 72, 108-122, 2017 | 24 | 2017 |
| 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 |
| Topic augmented generator for abstractive summarization M Ailem, B Zhang, F Sha arXiv preprint arXiv:1908.07026, 2019 | 14 | 2019 |
| 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 | 8 | 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 | 8 | 2017 |
| Encouraging neural machine translation to satisfy terminology constraints M Ailem, J Liu, R Qader arXiv preprint arXiv:2106.03730, 2021 | 6 | 2021 |
| Lingua Custodia's participation at the WMT 2021 Machine Translation using Terminologies shared task M Ailem, J Liu, R Qader arXiv preprint arXiv:2111.02120, 2021 | 2 | 2021 |
| Amortized Inference of Variational Bounds for Learning Noisy-OR Y Yan, M Ailem, F Sha International Conference on Artificial Intelligence and Statistics, 3632-3641, 2020 | 1 | 2020 |
| Improving NMF clustering by leveraging contextual relationships among words M Febrissy, A Salah, M Ailem, M Nadif Neurocomputing 495, 105-117, 2022 | | 2022 |
| 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 |
| A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images Download PDF M Ailem, B Zhang, A Bellet, P Denis, F Sha | | |
| Amortized Inference of Variational Bounds for Learning Noisy-OR Supplementary Materials Y Yan, M Ailem, F Sha | | |
| 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 SalahRakuten Institute of TechnologyAdresse e-mail validée de rakuten.com
