| Current teams : | ACASA ALMASTY ALSOC APR BD CIAN ComplexNetworks DECISION DELYS LFI MOCAH MoVe NPA PEQUAN PolSys QI RO SMA SYEL |
| Former team : | Phare |
| Publications MLIA | 2017 | 2018 | 2019 | 2020 | 2021 | Total |
|---|---|---|---|---|---|---|
| Books | 0 | 0 | 0 | 0 | 0 | 0 |
| Edited books | 0 | 2 | 2 | 0 | 0 | 4 |
| Journal articles | 4 | 12 | 10 | 6 | 6 | 38 |
| Book chapters | 0 | 0 | 0 | 0 | 0 | 0 |
| Conference papers | 23 | 33 | 43 | 26 | 40 | 165 |
| Habilitations | 0 | 0 | 0 | 1 | 1 | 2 |
| Theses | 7 | 4 | 9 | 9 | 5 | 34 |
- N. Aklil, B. Girard, M. Khamassi, L. Denoyer : “Sequential Action Selection for Budgeted Localization in Robots”, IEEE Robotic Computing 2017, Taichung, Taiwan, Province of China, pp. 97-100 [Aklil 2017]
- L. Azzopardi, J. Pickens, Ch. Shah, L. Soulier, L. Tamine : “Second International Workshop On the Evaluation of Collaborative Information Seeking and Retrieval (ECol'17)”, Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval (CHIIR 2017), Oslo, Norway, pp. 429-431, (ACM) [Azzopardi 2017]
- H. Ben‑younes, R. Cadene, M. Cord, N. Thome : “MUTAN: Multimodal Tucker Fusion for Visual Question Answering”, 2017 IEEE International Conference on Computer Vision (ICCV), 2017 IEEE International Conference on Computer Vision (ICCV), Venice, Italy, pp. 2631-2639, (IEEE) [Ben-younes 2017]
- S. Bourigault, S. Lamprier, P. Gallinari : “Apprentissage de représentation pour la détection de source dans les réseaux sociaux”, COnférence en Recherche d'Informations et Applications - CORIA 2017, 14th French Information Retrieval Conference, Marseille, France, pp. 235-250 [Bourigault 2017]
- M. Chen, L. Denoyer : “Multi-view Generative Adversarial Networks”, ECML PKDD 2017, vol. 10535, ECML PKDD 2017: Machine Learning and Knowledge Discovery in Databases, Skopje, North Macedonia, pp. 175-188 [Chen 2017]
- G. Contardo, L. Denoyer, Th. Artières : “A Meta-Learning Approach to One-Step Active-Learning”, International Workshop on Automatic Selection, Configuration and Composition of Machine Learning Algorithms, vol. 1998, CEUR Workshop Proceedings, Skopje, North Macedonia, pp. 28-40, (CEUR) [Contardo 2017]
- Ch. Dias , V. Guigue, P. Gallinari : “Passé, présent, futurs : induction de carrières professionnelles à partir de CV”, COnférence en Recherche d'Informations et Applications - CORIA 2017, 14th French Information Retrieval Conference, Marseille, France, pp. 281-296 [Dias 2017a]
- Ch. Dias , V. Guigue, P. Gallinari : “Text-based collaborative filtering for cold-start soothing and recommendation enrichment”, AISR2017, Paris, France [Dias 2017b]
- L. DOS SANTOS, B. Piwowarski, P. Gallinari : “Gaussian Embeddings for Collaborative Filtering”, Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Tokyo, Japan, pp. 1065-1068, (ACM) [DOS SANTOS 2017]
- Th. Durand, T. Mordan, N. Thome, M. Cord : “WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation”, IEEE Conference on Computer Vision and Pattern Recognition, Honolulu, HI, United States, pp. 5957-5966 [Durand 2017]
- Th. Gerald, N. Baskiotis, L. Denoyer : “Binary Stochastic Representations for Large Multi-class Classification”, Neural Information Processing, vol. 10634, Lecture Notes in Computer Science, Guangzhou, China, pp. 155-165, (Springer International Publishing), (ISBN: 978-3-319-70086-1) [Gerald 2017]
- G. Lample, N. Zeghidour, N. Usunier, A. Bordes, L. Denoyer, M. Ranzato : “Fader Networks: Generating Image Variations by Sliding Attribute Values”, 31st Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA, United States, pp. 5969-5978 [Lample 2017]
- S. Lamprier, Th. Gisselbrecht, P. Gallinari : “Variational Thompson Sampling for Relational Recurrent Bandits”, Joint European Conference on Machine Learning and Knowledge Discovery in Databases - ECML/PKDD 2017, vol. 10535, Lecture Notes in Computer Science, Skopje, North Macedonia, pp. 405-421, (Springer) [Lamprier 2017]
- T. Mordan, N. Thome, M. Cord, G. Henaff : “Deformable Part-based Fully Convolutional Network for Object Detection”, British Machine Vision Conference (BMVC), London, United Kingdom [Mordan 2017]
- G.‑H. Nguyen, L. Soulier, L. Tamine, N. Bricon‑Souf : “DSRIM: A Deep Neural Information Retrieval Model Enhanced by a Knowledge Resource Driven Representation of Documents”, The 3rd ACM International Conference on the Theory of Information Retrieval, Amsterdam, Netherlands, pp. 19-26, (ISBN: 978-1-4503-4490-6) [Nguyen 2017a]
- G.‑H. Nguyen, L. Soulier, L. Tamine, N. Bricon‑Souf : “Modèle Neuronal de Recherche d'Information Augmenté par une Ressource Sémantique”, Actes CORIA 2017, Marseille, France, pp. 1-16, (ARIA) [Nguyen 2017b]
- G.‑H. Nguyen, L. Tamine, L. Soulier, N. Souf : “Apprentissage de représentation des documents médicaux guidé par les concepts pour la recherche d'information”, Actes du symposium SIIM 2017, Toulouse, France, pp. 1-8 [Nguyen 2017c]
- G.‑H. Nguyen, L. Tamine, L. Soulier, N. Souf : “Learning Concept-Driven Document Embeddings for Medical Information Search”, Artificial Intelligence in Medicine: 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Vienna, Austria, June 21-24, 2017, Proceedings, vol. 10259, Lecture Notes in Computer Science, Vienna, Austria, pp. 160-170, (Springer International Publishing), (ISBN: 978-3-319-59757-7) [Nguyen 2017d]
- T. Postadjian, A. Le Bris, H. Sahbi, C. Mallet : “Investigating the potential of deep neural networks for large-scale classification of very high resolution satellite images”, ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. IV-1/W1, Hanovre, Germany, pp. 183-190 [Postadjian 2017]
- M. Sangnier, O. Fercoq, F. D'Alché‑Buc : “Data sparse nonparametric regression with epsilon-insensitive losses”, 9th Asian Conference on Machine Learning (ACML 2017), vol. 77, Proceedings of Machine Learning Research, Séoul, Korea, Republic of, pp. 192-207 [Sangnier 2017]
- E. Tonnelier, N. Baskiotis, V. Guigue, P. Gallinari : “Anomaly detection and characterization in smart card logs using NMF and Tweets”, ESANN 2017 - 25th European Symposium on Artificial Neural Networks, Bruges, Belgium [Tonnelier 2017]
- É. Zablocki, P. Bordes, L. Soulier, B. Piwowarski, P. Gallinari : “LIP6@CLEF2017: Multi-Modal Spatial Role Labeling using Word Embeddings Working notes”, CLEF 2017 Working Notes, Dublin, Ireland [Zablocki 2017]
- A. Ziat, E. Delasalles, L. Denoyer, P. Gallinari : “Spatio-Temporal Neural Networks for Space-Time Series Forecasting and Relations Discovery”, 2017 IEEE International Conference on Data Mining (ICDM), 2017 IEEE International Conference on Data Mining (ICDM), La Nouvelle Orléans, LA, United States, pp. 705-714, (IEEE) [Ziat 2017]