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Ludovic Denoyer - Publications

Affiliations: 
LIP6 UPMC Univ Paris 06, France 
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23 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Wang Q, Artières T, Chen M, Denoyer L. Adversarial learning for modeling human motion The Visual Computer. 36: 141-160. DOI: 10.1007/S00371-018-1594-7  0.434
2019 Delasalles E, Ziat A, Denoyer L, Gallinari P. Spatio-temporal neural networks for space-time data modeling and relation discovery Knowledge and Information Systems. 61: 1241-1267. DOI: 10.1007/S10115-018-1291-X  0.35
2018 Santos LD, Piwowarski B, Denoyer L, Gallinari P. Representation Learning for Classification in Heterogeneous Graphs with Application to Social Networks Acm Transactions On Knowledge Discovery From Data. 12: 1-33. DOI: 10.1145/3201603  0.405
2015 Gisselbrecht T, Denoyer L, Gallinari P, Lamprier S. Real-time learning for the collection of information in social networks Coria 2015 - Conference in Search Infomations and Applications - 12th French Information Retrieval Conference. 7-22.  0.343
2015 Ziat A, Contardo G, Baskiotis N, Denoyer L. Car-traffic forecasting: A representation learning approach Ceur Workshop Proceedings. 1392: 85-87.  0.353
2014 Maag ML, Denoyer L, Gallinari P. Graph anonymization using machine learning Proceedings - International Conference On Advanced Information Networking and Applications, Aina. 1111-1118. DOI: 10.1109/AINA.2014.20  0.316
2012 Gao S, Denoyer L, Gallinari P. Temporal link prediction using content and structure Ingenierie Des Systemes D'Information. 17: 75-90. DOI: 10.3166/Isi.17.6.75-90  0.35
2012 Gao S, Denoyer L, Gallinari P, Guo J. Probabilistic latent tensor factorization model for link pattern prediction in multi-relational networks Journal of China Universities of Posts and Telecommunications. 19: 172-181. DOI: 10.1016/S1005-8885(11)60425-1  0.336
2012 Peters S, Jacob Y, Denoyer L, Gallinari P. Iterative Multi-label Multi-relational Classification Algorithm for complex social networks Social Network Analysis and Mining. 2: 17-29. DOI: 10.1007/S13278-011-0034-8  0.419
2012 Dulac-Arnold G, Denoyer L, Preux P, Gallinari P. Sequential approaches for learning datum-wise sparse representations Machine Learning. 89: 87-122. DOI: 10.1007/S10994-012-5306-7  0.453
2012 Dulac-Arnold G, Denoyer L, Preux P, Gallinari P. Fast reinforcement learning with large action sets using error-correcting output codes for MDP factorization Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7524: 180-194. DOI: 10.1007/978-3-642-33486-3_12  0.384
2012 Dulac-Arnold G, Denoyer L, Gallinari P. Sequential documents reading for classification Coria 2012: Actes De La Neuvieme Conference En Recherche D'Information Et Applications - Proceedings of the 9th Conference On Information Retrieval and Applications. 245-259.  0.327
2011 Maes F, Denoyer L, Gallinari P. Corpus-based structure mapping of XML document corpora: A reinforcement learning based model Studies in Computational Intelligence. 370: 249-266. DOI: 10.1007/978-3-642-22613-7_13  0.315
2010 Denoyer L, Gallinari P. A ranking-based model for automatic image annotation in social networks Coria 2010: Actes De La Conference En Recherche D'Information Et Applications - Proceedings of the Conference On Information Retrieval and Applications. 115-129.  0.303
2010 Denoyer L, Gallinari P. A ranking based model for automatic image annotation in a social network Icwsm 2010 - Proceedings of the 4th International Aaai Conference On Weblogs and Social Media. 231-234.  0.33
2009 Maes F, Denoyer L, Gallinari P. Structured prediction with reinforcement learning Machine Learning. 77: 271-301. DOI: 10.1007/S10994-009-5140-8  0.453
2009 Maes F, Peters S, Denoyer L, Gallinari P. Simulated iterative classification a new learning procedure for graph lsabeling Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5782: 47-62. DOI: 10.1007/978-3-642-04174-7_4  0.338
2008 Maes F, Denoyer L, Gallinari P. Applications of reinforcement learning to structured prediction Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5323: 205-219. DOI: 10.1007/978-3-540-89722-4_16  0.407
2008 Maes F, Denoyer L, Gallinari P. Learning semi-structured documents conversion from examples Coria 2008: Cinquieme Conference En Recherche D'Information Et Applications - Fifth Conference On Information Retrieval and Applications. 181-196.  0.333
2007 Wisniewski G, Maes F, Denoyer L, Gallinari P. Probabilistic model for structured document mapping application to automatic HTML to XML conversion Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4571: 854-867.  0.326
2007 Maes F, Denoyer L, Gallinari P. XML structure mapping application to the PASCAL/INEX 2006 XML document mining track Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4518: 540-551.  0.342
2007 Macs F, Denoyer L, Gallinari P. Sequence labeling with reinforcement learning and ranking algorithms Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4701: 648-657.  0.336
2004 Denoyer L, Gallinari P. Bayesian network model for semi-structured document classification Information Processing and Management. 40: 807-827. DOI: 10.1016/J.Ipm.2004.04.009  0.308
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