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









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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



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