var bibbase_data = {"data":"\"Loading..\"\n\n
\n\n \n\n \n\n \n \n\n \n\n \n \n\n \n\n \n
\n generated by\n \n \"bibbase.org\"\n\n \n
\n \n\n
\n\n \n\n\n
\n\n Excellent! Next you can\n create a new website with this list, or\n embed it in an existing web page by copying & pasting\n any of the following snippets.\n\n
\n JavaScript\n (easiest)\n
\n \n <script src=\"https://bibbase.org/show?bib=https://www.dropbox.com/s/9zpzklro2gs3z6s/melissa.bib?dl=1&jsonp=1&jsonp=1\"></script>\n \n
\n\n PHP\n
\n \n <?php\n $contents = file_get_contents(\"https://bibbase.org/show?bib=https://www.dropbox.com/s/9zpzklro2gs3z6s/melissa.bib?dl=1&jsonp=1\");\n print_r($contents);\n ?>\n \n
\n\n iFrame\n (not recommended)\n
\n \n <iframe src=\"https://bibbase.org/show?bib=https://www.dropbox.com/s/9zpzklro2gs3z6s/melissa.bib?dl=1&jsonp=1\"></iframe>\n \n
\n\n

\n For more details see the documention.\n

\n
\n
\n\n
\n\n This is a preview! To use this list on your own web site\n or create a new web site from it,\n create a free account. The file will be added\n and you will be able to edit it in the File Manager.\n We will show you instructions once you've created your account.\n
\n\n
\n\n

To the site owner:

\n\n

Action required! Mendeley is changing its\n API. In order to keep using Mendeley with BibBase past April\n 14th, you need to:\n

    \n
  1. renew the authorization for BibBase on Mendeley, and
    2. \n
  2. update the BibBase URL\n in your page the same way you did when you initially set up\n this page.\n
    3. \n
\n

\n\n

\n \n \n Fix it now\n

\n
\n\n
\n\n\n
\n \n \n
\n
\n  \n 2020\n \n \n (1)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n Amortized Inference of Variational Bounds for Learning Noisy-OR.\n \n \n \n\n\n \n Yan, Y.; Ailem, M.; and Sha, F.\n\n\n \n\n\n\n In AISTATS, 2020. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{ailem2020,\n  title={Amortized Inference of Variational Bounds for Learning Noisy-OR},\n  author={\t Yan, Yiming and Ailem, Melissa and Sha, Fei},\n  booktitle={AISTATS},\n  year={2020}\n}\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\n
\n\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2018\n \n \n (3)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n \n Word Co-Occurrence Regularized Non-Negative Matrix Tri-Factorization for Text Data Co-Clustering.\n \n \n \n \n\n\n \n Salah, A.; Ailem, M.; and Nadif, M.\n\n\n \n\n\n\n In Proceedings of the Thirty-Second International Conference on Artificial Intelligence (AAAI'18), 2018. \n \n\n\n\n
\n\n\n\n \n \n \"Word paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 7 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{salah2018wor,\n  author={Salah, Aghiles and Ailem, Melissa and Nadif, Mohamed},\n  title={Word Co-Occurrence Regularized Non-Negative Matrix Tri-Factorization for Text Data Co-Clustering},\n  booktitle={Proceedings of the Thirty-Second International Conference on Artificial Intelligence (AAAI'18)},\n  year={2018},\n  adress={New Orleans, Louisiana, USA},\n  url_Paper = {https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16464/16664.pdf}  \n}\n\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images.\n \n \n \n\n\n \n Ailem, M.; Zhang, B.; Bellet, A.; Denis, P.; and Sha, F.\n\n\n \n\n\n\n In EMNLP, 2018. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@INPROCEEDINGS{Ailem2018a,\n  author = {Melissa Ailem and Bowen Zhang and Aur\\'elien Bellet and Pascal Denis and Fei Sha},\n  title = {{A} {P}robabilistic {M}odel for {J}oint {L}earning of {W}ord {E}mbeddings from {T}exts and {I}mages},\n  booktitle = {{EMNLP}},\n  year = {2018}\n}\n\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Sparse Poisson Latent Block Model for Document Clustering (Extended Abstract).\n \n \n \n\n\n \n Ailem, M.; Role, F.; and Nadif, M.\n\n\n \n\n\n\n In 34th IEEE International Conference on Data Engineering, ICDE 2018, Paris, France, April 16-19, 2018, pages 1743–1744, 2018. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{DBLP:conf/icde/AilemRN18,\n  author    = {Melissa Ailem and\n               Fran{\\c{c}}ois Role and\n               Mohamed Nadif},\n  title     = {Sparse Poisson Latent Block Model for Document Clustering (Extended\n               Abstract)},\n  booktitle = {34th {IEEE} International Conference on Data Engineering, {ICDE} 2018,\n               Paris, France, April 16-19, 2018},\n  pages     = {1743--1744},\n  year      = {2018}\n}\n\n\n\n\n\n
\n
\n\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2017\n \n \n (4)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n Model-based co-clustering for the effective handling of sparse data.\n \n \n \n\n\n \n Ailem, M.; Role, F.; and Nadif, M.\n\n\n \n\n\n\n Pattern Recognition, 72: 108–122. 2017.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{ailem2017model,\n  title={Model-based co-clustering for the effective handling of sparse data},\n  author={Ailem, Melissa and Role, Fran{\\c{c}}ois and Nadif, Mohamed},\n  journal={Pattern Recognition},\n  volume={72},\n  pages={108--122},\n  year={2017},\n  publisher={Elsevier}\n}\n\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Non-negative Matrix Factorization Meets Word Embedding.\n \n \n \n\n\n \n Ailem, M.; Salah, A.; and Nadif, M.\n\n\n \n\n\n\n In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 1081–1084, 2017. ACM\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{ailem2017non,\n  title={Non-negative Matrix Factorization Meets Word Embedding},\n  author={Ailem, Melissa and Salah, Aghiles and Nadif, Mohamed},\n  booktitle={Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval},\n  pages={1081--1084},\n  year={2017},\n  organization={ACM}\n}\n\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Sparse Poisson Latent Block Model for Document Clustering.\n \n \n \n\n\n \n Ailem, M.; Role, F.; and Nadif, M.\n\n\n \n\n\n\n IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 29(7): 1563-1576. 2017.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{ailem2017sparse,\n  title={Sparse Poisson Latent Block Model for Document Clustering},\n  author={Ailem, Melissa and Role, Fran{\\k{i}}ois and Nadif, Mohamed},\n  journal={IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING},\n  volume={29},\n  number={7},\n  pages={1563-1576},\n  year={2017}\n}\n\n\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n A Way to Boost Semi-NMF for Document Clustering.\n \n \n \n\n\n \n Salah, A.; Ailem, M.; and Nadif, M.\n\n\n \n\n\n\n In CIKM, 2017. ACM\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{ailem2017way,\n  title={A Way to Boost Semi-NMF for Document Clustering},\n  author={Salah, Aghiles and Ailem, Melissa and Nadif, Mohamed},\n  booktitle={CIKM},\n  year={2017},\n  organization={ACM}\n}\n\n
\n
\n\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2016\n \n \n (2)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n Graph modularity maximization as an effective method for co-clustering text data.\n \n \n \n\n\n \n Ailem, M.; Role, F.; and Nadif, M.\n\n\n \n\n\n\n Knowledge-Based Systems, 109: 160–173. 2016.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{ailem2016graph,\n  title={Graph modularity maximization as an effective method for co-clustering text data},\n  author={Ailem, Melissa and Role, Fran{\\c{c}}ois and Nadif, Mohamed},\n  journal={Knowledge-Based Systems},\n  volume={109},\n  pages={160--173},\n  year={2016},\n  publisher={Elsevier}\n}\n\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Unsupervised text mining for assessing and augmenting GWAS results.\n \n \n \n\n\n \n Ailem, M.; Role, F.; Nadif, M.; and Demenais, F.\n\n\n \n\n\n\n Journal of biomedical informatics, 60: 252–259. 2016.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{ailem2016unsupervised,\n  title={Unsupervised text mining for assessing and augmenting GWAS results},\n  author={Ailem, Melissa and Role, Fran{\\c{c}}ois and Nadif, Mohamed and Demenais, Florence},\n  journal={Journal of biomedical informatics},\n  volume={60},\n  pages={252--259},\n  year={2016},\n  publisher={Elsevier}\n}\n\n
\n
\n\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2015\n \n \n (1)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n Co-clustering document-term matrices by direct maximization of graph modularity.\n \n \n \n\n\n \n Ailem, M.; Role, F.; and Nadif, M.\n\n\n \n\n\n\n In ACM CIKM, pages 1807–1810, 2015. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{ailem2015co,\n  title={Co-clustering document-term matrices by direct maximization of graph modularity},\n  author={Ailem, Melissa and Role, Fran{\\c{c}}ois and Nadif, Mohamed},\n  booktitle={ACM CIKM},\n  pages={1807--1810},\n  year={2015},\n}\n\n\n
\n
\n\n\n\n
\n\n\n\n\n\n
\n
\n\n\n\n\n
\n\n\n \n\n \n \n \n \n\n
\n"}; document.write(bibbase_data.data);