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Massih-Reza Amini Associate Professor of Université Pierre & Marie Curie Laboratoire d'Informatique de Paris 6 (LIP6) 4, place Jussieu Tour 25-26, Bureau 525 75252 Paris cedex 05, France tél: +33 (0) 1 44.27.87.47 fax: +33 (0) 1 44.27.70.00 Email: Massih-Reza |dot| Amini |at| lip6 |dot| fr |
| Research Interests: My current research focuses on Machine Learning applied to large document collections for information access. I am
particularly interested on Text Summarization and on the learnability of statistical models where only a small portion of data is labeled and where the aim is to take advantage of the huge unlabeled data together with labeled ones to make prediction.
Selected papers: (more ...) On using a Quantum Physics formalism for Multi-document Summarisation. Piwowarski P., Amini M.-R., Lalmas M. Journal of the American Society for Information Science and Technology, DOI: 10.1002/asi.21713, 2012 [pdf 361 KB] A Co-classification Approach to Learning from Multilingual Corpora. Amini M.-R., Goutte C. Machine Learning Journal, 79(1-2):105-121, 2010 [pdf 582 KB] Combining Coregularization and Consensus-based Self-Training for Multilingual Text Categorization Amini M.-R., Goutte C., Usunier N. Proceedings of the 33rd Annual ACM SIGIR Conference (SIGIR 2010) [pdf 199 KB] Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization. Amini M.-R., Usunier N., Goutte C. Advances in Neural Information Processing Systems 22 (NIPS 2009) [pdf 113 KB] A Transductive Bound for the Voted Classifier with an Application to Semi-Superivsed Learning. Amini M.-R., Laviolette F., Usunier N. Advances in Neural Information Processing Systems 21 (NIPS 2008) [pdf 331 KB] A Boosting Algorithm for Learning Bipartite Ranking Functions with Partially Labeled Data. Amini M.-R., Truong V., Goutte C. Proceedings of the 31st International ACM SIGIR (SIGIR 2008) [pdf 160 KB] (Released Code) Learning Based Summarization of XML Documents. Amini M.-R., Tombros A., Usunier N., Lalmas M. Information Retrieval Journal, 10(3):233-255, June 2007 [pdf 276 KB] Generalisation Error Bounds for Classifiers Trained with Interdependent Data. Usunier N., Amini M.-R., Gallinari P. Advances in Neural Information Processing Systems 18 (NIPS 2005) [pdf 119 KB] Semi-Supervised Learning with Explicit Misclassification Modeling. Amini M.-R., Gallinari P. Proceedings of the 18th International Joint Conference on Artificial Intelligence (IJCAI 2003) [pdf 110 KB] [ps.gz 80KB] The Use of Unlabeled data to Improve Supervised Learning for Text Summarization. Amini M.-R., Gallinari P. Proceedings of the 25th International ACM SIGIR (SIGIR 2002) [pdf 277 KB] Apprentissage et Données Textuelles. Gallinari P., Zaragoza H., Amini M.-R. Chapitre de livre Bases de Données et Statistique. édité par Annie Morin, Patrick Bosc, Georges Hebrail, Ludovic Lebart, édition Dunod 2002 PhD Students
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