Équipes actuelles : | ALMASTY ALSOC APR BD CIAN ComplexNetworks DECISION DELYS LFI MOCAH MoVe NPA PEQUAN PolSys QI RO SMA SYEL |
Ancienne équipe : | ACASA |
- S. Avila, N. Thome, M. Cord, E. Valle, A. De Albuquerque Araújo : “Extended Bag-of-Words Formalism for Image Classification”, Brazilian Symposium on Computer Graphics and Image Processing, Arequipa, Peru [Avila 2013a]
- M. Cisse, N. Usunier, Th. Artières, P. Gallinari : “Robust Bloom Filters for Large MultiLabel Classification Tasks”, Advances in Neural Information Processing Systems 26, Lake Tahoe, United States, pp. 1851-1859 [Cisse 2013]
- Y. Ding, C. Pelachaud, Th. Artières : “Modeling Multimodal Behaviors from Speech Prosody”, Intelligent Virtual Agents, vol. 8108, Lecture Notes in Computer Science, Edinburgh, United Kingdom, pp. 217-228, (Springer) [Ding 2013a]
- Y. Ding, M. Radenen, Th. Artières, C. Pelachaud : “Speech-driven eyebrow motion synthesis with contextual Markovian models”, IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2013, Vancouver, Canada, pp. 3756-3760, (IEEE) [Ding 2013b]
- Th. Durand, N. Thome, M. Cord, S. Avila : “Image classification using object detectors”, ICIP 2013 : IEEE International Conference on Image Processing, Melbourne, Australia, pp. 4340-4344 [Durand 2013]
- A. Fakeri‑Tabrizi, M.‑R. Amini, P. Gallinari : “Multiview Semi-Supervised Ranking for Automatic Image Annotation”, ACM International Conference on Multimedia, Barcelone, Spain, pp. 513-516, (ACM) [Fakeri-Tabrizi 2013]
- J. Françoise, I. Lallemand, Th. Artières, F. Bevilacqua, N. Schnell, D. Schwarz : “Perspectives pour l'apprentissage interactif du couplage geste-son”, Journées d'Informatique Musicale (JIM 2013), PARIS, France, pp. 77-84 [Françoise 2013]
- Sh. Gao, L. Denoyer, P. Gallinari, J. Guo : “Latent factor blockmodel for modelling relational data”, 35th European Conference on IR Research, ECIR 2013, vol. 7814, Lecture Notes in Computer Science, Moscou, Russian Federation, pp. 447-458, (Springer) [Gao 2013]
- H. Goh, N. Thome, M. Cord, J.‑H. Lim : “Top-Down Regularization of Deep Belief Networks”, Advances in Neural Information Processing Systems 26, Lake Tahoe, United States, pp. 1878-1886 [Goh 2013]
- E. Guardia‑Sebaoun, A. Rafrafi, V. Guigue, P. Gallinari : “Cross-Media Sentiment Classification and Application to Box-Office Forecasting”, Proceedings of the 10th Conference on Open Research Areas in Information Retrieval (OAIR '13), Lisbon, Portugal, pp. 201-208 [Guardia-Sebaoun 2013]
- Y. Jacob, L. Denoyer, P. Gallinari : “Classification dans les graphes hétérogénes basée sur une représentation latente des noeuds”, CORIA 2013, Neuchâtel, Switzerland, pp. 85-100 [Jacob 2013]
- R. Lage, L. Denoyer, P. Gallinari, P. Dolog : “Choosing which message to publish on social networks: A Contextual bandit approach”, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013, Niagara Falls, Ontario, Canada, pp. 620-627, (IEEE) [Lage 2013]
- C. Lagnier, L. Denoyer, E. Gaussier, P. Gallinari : “Predicting Information Diffusion in Social Networks using Content and User's Profiles”, 35th European Conference on IR Research, ECIR 2013, vol. 7814, Lecture Notes in Computer Science, Moscou, Russian Federation, pp. 74-85 [Lagnier 2013]
- S. Lamprier, N. Baskiotis, T. Ziadi, L. Hillah : “CARE: a platform for reliable Comparison and Analysis of Reverse-Engineering techniques”, 18th IEEE International Conference on Engineering of Complex Computer Systems -- ICECCS, Singapore, Singapore, pp. 252-255, (IEEE) [Lamprier 2013]
- M. Law, N. Thome, M. Cord : “Quadruplet-Wise Image Similarity Learning”, IEEE International Conference on Computer Vision (ICCV), Sydney, Australia, pp. 249-256 [Law 2013]
- A. Rafrafi, V. Guigue, P. Gallinari : “Classification de Sentiments Multi-Domaines en Contexte Hétérogène et Passage à l'Echelle”, CORIA 2013 - 10ème Conférence en Recherche d'Informations et Applications, Neuchâtel, Switzerland, pp. 117-124 [Rafrafi 2013]
- G. Silvestre, S. Monnet, D. Buffoni, P. Sens : “Predicting Popularity and Adapting Replication of Internet Videos for High-Quality Delivery”, Parallel and Distributed Systems (ICPADS), 2013 International Conference on, Seoul, Korea, Republic of, pp. 412-419, (IEEE) [Silvestre 2013b]
- Ch. Theriault, N. Thome, M. Cord : “Dynamic Scene Classification: Learning Motion Descriptors with Slow Features Analysis.”, IEEE Conference on Computer Vision and Pattern Recognition, Portland, OR, United States, pp. 2603-2610, (IEEE) [Theriault 2013a]