الوحدات الحالية : | ALMASTY ALSOC APR BD CIAN ComplexNetworks DECISION DELYS LFI MOCAH MoVe NPA PEQUAN PolSys QI RO SMA SYEL |
الفـرق السـابـقــة : | ACASA |
- S. Bourigault, C. Lagnier, S. Lamprier, L. Denoyer, P. Gallinari : “Apprentissage de représentation pour la diffusion d'Information dans les réseaux sociaux”, COnférence en Recherche d'Information et Applications 2014, CORIA 2014, Nancy, France, pp. 155-170 [Bourigault 2014a]
- S. Bourigault, C. Lagnier, S. Lamprier, L. Denoyer, P. Gallinari : “Learning social network embeddings for predicting information diffusion”, Proceedings of the 7th ACM international conference on Web search and data mining, New York, United States, pp. 393-402, (ACM) [Bourigault 2014b]
- L. Denoyer, P. Gallinari : “Deep Sequential Neural Networks”, EWRL 2015 - Workshop Deep Learning NIPS 2014, Unknown, [Denoyer 2014b]
- Y. Ding, Th. Artières, C. Pelachaud : “Laughing Body”, WACAI, Rouen, France [Ding 2014]
- G. Dulac‑Arnold, L. Denoyer, N. Thome, M. Cord, P. Gallinari : “Sequentially Generated Instance-Dependent Image Representations for Classification”, International Conference on Learning Representations, ICLR 2014, Banff, Canada [Dulac-Arnold 2014]
- Th. Durand, D. Picard, N. Thome, M. Cord : “SEMANTIC POOLING FOR IMAGE CATEGORIZATION USING MULTIPLE KERNEL LEARNING”, IEEE International Conference on Image Processing, Paris, France, (Institute of Electrical and Electronics Engineers) [Durand 2014a]
- Th. Durand, N. Thome, M. Cord, D. Picard : “Incremental learning of latent structural SVM for weakly supervised image classification”, IEEE International Conference on Image Processing, Paris, France, pp. 4246-4250, (IEEE) [Durand 2014b]
- L.‑A. Gauthier, B. Piwowarski, P. Gallinari : “Filtrage collaboratif et intégration de la polarité des notes”, Conférence en Recherche d'Infomations et Applications - 11th French Information Retrieval Conference, Nancy, France, pp. 11-26 [Gauthier 2014]
- E. Guàrdia Sebaoun, V. Guigue, P. Gallinari : “Recommandation Dynamique dans les Graphes Géographiques”, MARAMI 2014 : 5ième conférence sur les modèles et l'analyse des réseaux : Approches mathématiques et informatiques, Paris, France [Guàrdia Sebaoun 2014]
- Y. Jacob, L. Denoyer, P. Gallinari : “Learning latent representations of nodes for classifying in heterogeneous social networks”, The 7th ACM international conference on Web search and data mining, New York City, United States, pp. 373-382 [Jacob 2014]
- S. Lamprier, T. Ziadi, N. Baskiotis, L. Hillah : “Exact and Efficient Temporal Steering of Software Behavioral Model Inference”, Proc. of 19th IEEE International Conference on Engineering of Complex Computer Systems (ICECCS), Tianjin, China, pp. 166-175, (IEEE) [Lamprier 2014]
- M. Law, N. Thome, M. Cord : “Fantope Regularization in Metric Learning”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, Ohio, United States, pp. 1051-1058 [Law 2014b]
- C. Le Barz, N. Thome, M. Cord, S. Herbin, M. Sanfourche : “Global Robot Ego-localization Combining Image Retrieval and HMM-based Filtering”, 6th Workshop on Planning, Perception and Navigation for Intelligent Vehicles, Chicago, United States, pp. 6 p. [Le Barz 2014]
- M. Maag, L. Denoyer, P. Gallinari : “Graph Anonymization using Machine Learning”, 2014 IEEE 28th International Conference on Advanced Information Networking and Applications, Victoria, Canada, pp. 1111-1118 [Maag 2014]
- D. Nozza, D. Maccagnola, V. Guigue, E. Messina, P. Gallinari : “A latent representation model for sentiment analysis in heterogeneous social networks”, International Conference on Software Engineering and Formal Methods, vol. 8938, Lecture Notes in Computer Science, Grenoble, France, pp. 201-213, (Springer) [Nozza 2014]
- M. Poussevin, E. Guardia‑Sebaoun, V. Guigue, P. Gallinari : “Recommandation par combinaison de filtrage collaboratif et d'analyse de sentiments”, CORIA 2014 - COnférence en Recherche d’Information et Applications, Nancy, France, pp. 27-42 [Poussevin 2014a]
- M. Poussevin, N. Baskiotis, V. Guigue, P. Gallinari : “Factorisation matricielle sous contraintes pour l'analyse des usages du métro parisien”, CAp'2014 : Conférence d'Apprentissage Automatique, Saint-Etienne, France [Poussevin 2014b]
- M. Poussevin, N. Baskiotis, V. Guigue, P. Gallinari : “Mining ticketing logs for usage characterization with nonnegative matrix factorization”, SenseML 2014 -- ECML Workshop, Nancy, France [Poussevin 2014c]
- R. Puget, N. Baskiotis, P. Gallinari : “Scalable Learnability Measure for Hierarchical Learning in Large Scale Multi-Class Classification”, WSDM Workshop Web-Scale Classification: Classifying Big Data from the Web, New York, United States [Puget 2014]
- M. Radenen, P. MILHORAT, Th. Artières, J. Boudy, G. Chollet : “Etude des HMMs paramétriques pour la reconnaissance de parole en environnement bruité”, Actes JEP 2014 : 30e Journées d'Etude sur la Parole, Le Mans, France, pp. 466-474 [Radenen 2014a]
- L. Rubini, R. Cancelliere, P. Gallinari, A. Grosso, A. Raiti : “Computational Experience with Pseudoinversion-Based Training of Neural Networks Using Random Projection Matrices”, Artificial Intelligence: Methodology, Systems, and Applications - 16th International Conference, AIMSA 2014, Varna, Bulgaria, September 11-13, 2014. Proceedings, Varna, Bulgaria, pp. 236-245 [Rubini 2014]