Patrick Gallinari

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Citations	11612	4131
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Ludovic DenoyerFacebook - FAIR / Attached Professor at Sorbonne UniversitésVerified email at lip6.fr
Thierry ArtieresProfesseur d'informatique, Ecole Centrale Marseille, LIS, Aix-Marseille Université, CNRSVerified email at lis-lab.fr
Massih-Reza AminiProfessor of Computer Science, Université Grenoble AlpesVerified email at imag.fr
Usunier NicolasFacebook AI ResearchVerified email at fb.com
Benjamin Piwowarski1st grade researcher at CNRS/LIP6, University Pierre et Marie CurieVerified email at bpiwowar.net
sylvain lamprierVerified email at lip6.fr
Vincent Guiguelip6Verified email at lip6.fr
Nicolas BaskiotisLIP6, UPMCVerified email at lip6.fr
Françoise Fogelman SouliéHub France IAVerified email at hub-franceIA.fr
Sheng GaoBeijing University of Posts and TelecommunicationsVerified email at bupt.edu.cn
Eric GaussierProfessor Univ. Grenoble AlpesVerified email at imag.fr
Bernadette DorizziProfessor, Institut Télécom; Télécom SudParisVerified email at telecom-sudparis.eu
Younès BennaniUniversité Sorbonne Paris NordVerified email at lipn.univ-paris13.fr
Leon BottouFacebook AI ResearchVerified email at bottou.org
Ioannis PartalasMachine Learning ScientistVerified email at expediagroup.com
Emmanuel de BézenacVerified email at lip6.fr
Philippe LERAYProfesseur, Université de NantesVerified email at univ-nantes.fr
Hugo ZaragozaAmazonVerified email at hugo-zaragoza.net
francis maesPostdoctoral fellow, University of Leuven, BelgiumVerified email at cs.kuleuven.be
Ion AndroutsopoulosProfessor, Department of Informatics, Athens University of Economics and BusinessVerified email at aueb.gr

Patrick Gallinari

Professor Sorbonne University / Criteo AI Lab

Verified email at sorbonne-universite.fr

Machine Learning Deep Learning Neural Networks Information Retrieval Natural Language Processing


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The handbook of brain theory and neural networks S Amari MIT press, 2003	2152	2003
The wikipedia xml corpus L Denoyer, P Gallinari International Workshop of the Initiative for the Evaluation of XML Retrieval …, 2006	523	2006
SGD-QN: Careful quasi-Newton stochastic gradient descent A Bordes, L Bottou, P Gallinari Journal of Machine Learning Research 10, 1737-1754, 2009	378	2009
An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition G Tsatsaronis, G Balikas, P Malakasiotis, I Partalas, M Zschunke, ... BMC bioinformatics 16 (1), 1-28, 2015	304	2015
Improved performance in protein secondary structure prediction by inhomogeneous score combination. Y Guermeur, C Geourjon, P Gallinari, G Del√© age Bioinformatics (Oxford, England) 15 (5), 413-421, 1999	252	1999
Solving multiclass support vector machines with LaRank A Bordes, L Bottou, P Gallinari, J Weston Proceedings of the 24th international conference on Machine learning, 89-96, 2007	210	2007
Ranking with ordered weighted pairwise classification N Usunier, D Buffoni, P Gallinari Proceedings of the 26th annual international conference on machine learning …, 2009	191	2009
On the relations between discriminant analysis and multilayer perceptrons P Gallinari, S Thiria, F Badran, F Fogelman-Soulie neural networks 4 (3), 349-360, 1991	189	1991
Feature selection with neural networks P Leray, P Gallinari Behaviormetrika 26 (1), 145-166, 1999	177	1999
LSHTC: A benchmark for large-scale text classification PG Ioannis Partalas, Aris Kosmopoulos, Nicolas Baskiotis, Thierry Artieres ... arXiv preprint arXiv:1503.08581, 2015	157	2015
Bayesian network model for semi-structured document classification L Denoyer, P Gallinari Information processing & management 40 (5), 807-827, 2004	151	2004
Temporal link prediction by integrating content and structure information S Gao, L Denoyer, P Gallinari Proceedings of the 20th ACM international conference on Information and …, 2011	138	2011
Variable selection with neural networks T Cibas, FF Soulié, P Gallinari, S Raudys Neurocomputing 12 (2-3), 223-248, 1996	136	1996
Deep learning for physical processes: Incorporating prior scientific knowledge E De Bézenac, A Pajot, P Gallinari Journal of Statistical Mechanics: Theory and Experiment 2019 (12), 124009, 2019	135	2019
Cross-domain recommendation via cluster-level latent factor model S Gao, H Luo, D Chen, S Li, P Gallinari, J Guo Joint European conference on machine learning and knowledge discovery in …, 2013	135	2013
A framework for the cooperation of learning algorithms L Bottou, P Gallinari Advances in neural information processing systems, 781-788, 1991	114	1991
MULTILAYER PERCEPTRONS AND DATA ANALYSIS P Gallinari, S Thiria, FF Soulie	113	1988
Combinaison de Classifieurs Statistiques: application a la Prediction de la Structure Secondaire des Proteines Y Guermeur Paris 6, 1997	111	1997
The use of unlabeled data to improve supervised learning for text summarization MR Amini, P Gallinari Proceedings of the 25th annual international ACM SIGIR conference on …, 2002	110	2002
Learning latent representations of nodes for classifying in heterogeneous social networks Y Jacob, L Denoyer, P Gallinari Proceedings of the 7th ACM international conference on Web search and data …, 2014	108	2014

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