Publications



165 documents

Article dans une revue

  • Laure Soulier, Lynda Tamine. On the collaboration support in Information Retrieval. ACM Computing Surveys, Association for Computing Machinery, 2017. 〈hal-01517104〉
  • Jianfei Zhang, Shengrui Wang, Lifei Chen, Patrick Gallinari. Multiple Bayesian discriminant functions for high-dimensional massive data classification. Data Mining and Knowledge Discovery, Springer Verlag, 2017, 31 (2), pp.465--501. 〈10.1007/s10618-016-0481-y〉. 〈hal-01549570〉
  • Xin Wang, Nicolas Thome, Matthieu Cord. Gaze Latent Support Vector Machine for Image Classification Improved by Weakly Supervised Region Selection. Pattern Recognition, Elsevier, 2017, 72, pp.59-71. 〈10.1016/j.patcog.2017.07.001〉. 〈hal-01557368〉
  • Lin Qiu, Sheng Gao, Qinjie Lyu, Jun Guo, Patrick Gallinari. A novel non-Gaussian embedding based model for recommender systems. Neurocomputing, Elsevier, 2017, 〈10.1016/j.neucom.2017.05.100〉. 〈hal-01611952〉
  • Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo. A Novel Multimodal Deep Neural Network Framework for Extending Knowledge Base. Computación y Sistemas, 2016, 20 (3), pp.459-466. 〈hal-01524735〉
  • Luca Rubini, Rossella Cancelliere, Patrick Gallinari, Andrea Grosso. Local search and pseudoinversion: an hybrid approach to neural network training. Knowl. Inf. Syst., 2016, 48 (2), pp.493--503. 〈10.1007/s10115-016-0935-y〉. 〈hal-01524736〉
  • Sylvain Lamprier, Simon Bourigault, Patrick Gallinari. Influence learning for cascade diffusion models: focus on partial orders of infections. Social Network Analysis and Mining, Springer, 2016, 6 (1), pp.93. 〈10.1007/s13278-016-0406-1〉. 〈hal-01393489〉
  • Laure Soulier, Lynda Tamine, Chirag Shah. MineRank: Leveraging users’ latent roles for unsupervised collaborative information retrieval. Information Processing and Management, Elsevier, 2016, 52 (6), pp.1122-1141. 〈10.1016/j.ipm.2016.05.002〉. 〈hal-01353589〉
  • Marc T. Law, Nicolas Thome, Matthieu Cord. Learning a Distance Metric from Relative Comparisons between Quadruplets of Images. International Journal of Computer Vision, Springer Verlag, 2016, pp.1-30. 〈10.1007/s11263-016-0923-4〉. 〈hal-01346190〉
  • Charanpal Dhanjal, Nicolas Baskiotis, Stéphan Clémençon, Nicolas Usunier. An empirical comparison of V -fold penalisation and cross-validation for model selection in distribution-free regression. Pattern Analysis and Applications, Springer Verlag, 2016, 19 (1), pp.41-53. 〈10.1007/s10044-014-0381-y〉. 〈hal-01567869〉
  • Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo. Knowledge base completion by learning pairwise-interaction differentiated embeddings. Data Min. Knowl. Discov., 2015, 29 (5), pp.1486--1504. 〈10.1007/s10618-015-0430-1〉. 〈hal-01524738〉
  • Thibault Gisselbrecht, Ludovic Denoyer, Patrick Gallinari, Sylvain Lamprier. Apprentissage en temps réel pour la collecte d'information dans les réseaux sociaux. Revue des Sciences et Technologies de l'Information - Série Document Numérique, Lavoisier, 2015, 18 (2-3), pp.39--58. 〈10.3166/dn.18.2-3.39-58〉. 〈hal-01357959〉
  • George Tsatsaronis, Georgios Balikas, Prodromos Malakasiotis, Ioannis Partalas, Matthias Zschunke, et al.. An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition. BMC Bioinformatics, BioMed Central, 2015, 16 (1), pp.138. 〈10.1186/s12859-015-0564-6〉. 〈hal-01156600〉
  • Roxana Horincar, Bernd Amann, Thierry Artières. Online refresh strategies for content based feed aggregation. World Wide Web, Springer Verlag, 2015, 18 (4), pp.913-947. 〈10.1007/s11280-014-0288-y〉. 〈hal-01185362〉
  • Sylvain Lamprier, Nicolas Baskiotis, Tewfik Ziadi, Lom Messan Hillah. The CARE Platform for the Analysis of Behavior Model Inference Techniques. Information and Software Technology, Elsevier, 2015, 60, pp.32-50. 〈10.1016/j.infsof.2014.12.004〉. 〈hal-01176438〉
  • Rossella Cancelliere, Mario Gai, Patrick Gallinari, Luca Rubini. OCReP: An Optimally Conditioned Regularization for pseudoinversion based neural training. Neural Networks, Elsevier, 2015, 71, pp.76--87. 〈10.1016/j.neunet.2015.07.015〉. 〈hal-01524737〉
  • Christian Theriault, Nicolas Thome, Matthieu Cord, Patrick Perez. Perceptual principles for video classification with Slow Feature Analysis. IEEE Journal of Selected Topics in Signal Processing, IEEE, 2014, 8 (3), pp.428-437. 〈10.1109/JSTSP.2014.2315742〉. 〈hal-01185462〉
  • Corina Iovan, Paul-Henry Cournède, Thomas Guyard, Benoît Bayol, Dider Boldo, et al.. Model-Based Analysis-Synthesis for Realistic Tree Reconstruction and Growth Simulation. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2014, 52 (2), pp.1438-1450. 〈10.1109/TGRS.2013.2251467〉. 〈hal-00826023〉
  • Rodrigo Minetto, Nicolas Thome, Matthieu Cord, Neucimar J. Leite, Jorge Stolfi. SnooperText: A Text Detection System for Automatic Indexing of Urban Scenes. Computer Vision and Image Understanding, Elsevier, 2014, 122, pp.92-104. 〈10.1016/j.cviu.2013.10.004〉. 〈hal-01185469〉
  • Hanlin Goh, Nicolas Thome, Matthieu Cord, Joo-Hwee Lim. Learning Deep Hierarchical Visual Feature Coding. IEEE Transactions on Neural Networks and Learning Systems, IEEE, 2014, 25 (12), pp.2212-2225. 〈10.1109/TNNLS.2014.2307532〉. 〈hal-01185465〉
  • Mathieu Radenen, Thierry Artières. Handling signal variability with contextual markovian models. Pattern Recognition Letters, Elsevier, 2014, 35, pp.236-245. 〈10.1016/j.patrec.2013.08.015〉. 〈hal-01185459〉
  • Charanpal Dhanjal, Romaric Gaudel, Stéphan Clémençon. Efficient Eigen-updating for Spectral Graph Clustering. Neurocomputing, Elsevier, 2014, 131, pp.440-452. 〈10.1016/j.neucom.2013.11.015〉. 〈hal-00770889v4〉
  • Christian Theriault, Nicolas Thome, Matthieu Cord. Extended Coding and Pooling in the HMAX Model. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2013, 22 (2), pp.764-777. 〈10.1109/TIP.2012.2222900〉. 〈hal-01185467〉
  • Sandra Avila, Nicolas Thome, Matthieu Cord, Eduardo Valle, Arnaldo De Albuquerque Araújo. Pooling in Image Representation: the Visual Codeword Point of View. Computer Vision and Image Understanding, Elsevier, 2013, 117 (5), pp.453-465. 〈10.1016/j.cviu.2012.09.007〉. 〈hal-01172709〉
  • David Picard, Nicolas Thome, Matthieu Cord. JKernelMachines: A Simple Framework for Kernel Machines. Journal of Machine Learning Research, Journal of Machine Learning Research, 2013, 14, pp.1417-1421. 〈hal-00832030〉
  • Rodrigo Minetto, Nicolas Thome, Matthieu Cord, Neucimar J. Leite, Jorge Stolfi. T-HOG: an Effective Gradient-Based Descriptor for Single Line Text Regions. Pattern Recognition, Elsevier, 2013, 46 (3), pp.1078-1090. 〈10.1016/j.patcog.2012.10.009〉. 〈hal-01185468〉
  • Jonathan Fabrizio, Beatriz Marcotegui, Matthieu Cord. Text detection in street level images. Pattern Analysis and Applications, Springer Verlag, 2013, 16 (4), pp.519-533. 〈10.1007/s10044-013-0329-7〉. 〈hal-00906841〉
  • Clément Calauzènes, Nicolas Usunier, Patrick Gallinari. Calibration and regret bounds for order-preserving surrogate losses in learning to rank. Machine Learning, Springer Verlag, 2013, 93 (2-3), pp.227-260. 〈10.1007/s10994-013-5382-3〉. 〈hal-00834230〉
  • Stefania Rubrichi, Silvana Quaglini, Alex Spengler, Paola Russo, Patrick Gallinari. A system for the extraction and representation of summary of product characteristics content. Artificial Intelligence in Medicine, Elsevier, 2013, 57 (2), pp.145-154. 〈10.1016/j.artmed.2012.08.004〉. 〈hal-01185460〉
  • Sheng Gao, Ludovic Denoyer, Patrick Gallinari, Jun Guo. Probabilistic Latent Tensor Factorization Model for Link Pattern Prediction in Multi-relational Networks. The Journal of China Universities of Posts and Telecommunications, 2012, 19 (2), pp.172-181. 〈10.1016/S1005-8885(11)60425-1〉. 〈hal-01185466〉
  • Yann Jacob, Ludovic Denoyer, Patrick Gallinari. Apprentissage automatique de la propagation des étiquettes dans les réseaux sociaux multirelationnels. Revue des Sciences et Technologies de l'Information - Série Document Numérique, Lavoisier, 2012, 15 (1), pp.79--99. 〈10.3166/dn.15.1.79-99〉. 〈hal-01357566〉
  • Stephane Peters, Yann Jacob, Ludovic Denoyer, Patrick Gallinari. Iterative Multi-Label Multi-Relational Classification Algorithm for Complex Social Networks. Social Network Analysis and Mining, Springer, 2012, 2 (1), pp.17-29. 〈10.1007/s13278-011-0034-8〉. 〈hal-01172456〉
  • David Buffoni, Sabrina Tollari, Patrick Gallinari. A Learning to Rank framework applied to text-image retrieval. Multimedia Tools and Applications, Springer Verlag, 2012, 60 (1), pp.161-180. 〈10.1007/s11042-011-0806-1〉. 〈hal-01172660〉
  • Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari. Sequential approaches for learning datum-wise sparse representations. Machine Learning, Springer Verlag, 2012, 89 (1-2), pp.87-122. 〈http://link.springer.com/article/10.1007%2Fs10994-012-5306-7〉. 〈10.1007/s10994-012-5306-7〉. 〈hal-00747724〉
  • Antoine Bordes, Léon Bottou, Patrick Gallinari. SGD-QN: Careful Quasi-Newton Stochastic Gradient Descent. Journal of Machine Learning Research, Journal of Machine Learning Research, 2009, 10, pp.1737-1754. 〈hal-00750911〉
  • Hugo Zaragoza, Patrick Gallinari, Raphaël Curtelin, François Leglaye. Multiple multivariate regression and global sequence optimization, an application to large scale models of radiation intensity. Signal Processing, Elsevier, 1998, 64 (3), pp.371-382. 〈10.1016/S0165-1684(97)00202-8〉. 〈hal-01184802〉
  • Olivier Gascuel, Bernadette Bouchon-Meunier, Gilles Caraux, Patrick Gallinari, Alain Guénoche, et al.. Twelve numerical, symbolic and hybrid supervised classification methods. International Journal of Pattern Recognition and Artificial Intelligence, World Scientific Publishing, 1998, 12 (5), pp.517-572. 〈10.1142/S0218001498000336〉. 〈hal-01184805〉
  • Abdelmoumène Toudeft, Patrick Gallinari. Neural and adaptive controllers for a non-minimum phase varying time-delay system. Artificial Intelligence in Engineering , Elsevier, 1997, 11 (4), pp.431-439. 〈10.1016/S0954-1810(97)00005-8〉. 〈hal-01184890〉

Communication dans un congrès

  • Éloi Zablocki, Benjamin Piwowarski, Laure Soulier, Patrick Gallinari. Learning Multi-Modal Word Representation Grounded in Visual Context. Association for the Advancement of Artificial Intelligence (AAAI), Feb 2018, New Orleans, United States. 2018. 〈hal-01632414〉
  • Gia-Hung Nguyen, Laure Soulier, Lynda Tamine, Nathalie Bricon-Souf. DSRIM: A Deep Neural Information Retrieval Model Enhanced by a Knowledge Resource Driven Representation of Documents. International Conference on the Theory of Information Retrieval, Oct 2017, Amsterdam, Netherlands. The 3rd ACM International Conference on the Theory of Information Retrieval. 〈hal-01549543〉
  • Charles-Emmanuel Dias, Vincent Guigue, Patrick 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, Mar 2017, Marseille, France. pp.281--296, 2017. 〈hal-01549568〉
  • Simon Bourigault, Sylvain Lamprier, Patrick 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, Mar 2017, Marseille, France. pp.235--250, 2017. 〈hal-01549569〉
  • Leif Azzopardi, Jeremy Pickens, Chirag Shah, Laure Soulier, Lynda Tamine. Second International Workshop On the Evaluation of Collaborative Information Seeking and Retrieval (Ecol'17). 2017 Conference on Conference Human Information Interaction and Retrieval, Mar 2017, Oslo, Norway. Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval 2017. 〈hal-01518028〉
  • Nassim Aklil, Benoît Girard, Mehdi Khamassi, Ludovic Denoyer. Sequential Action Selection for Budgeted Localization in Robots. IEEE Robotic Computing 2017, Apr 2017, Taichung, Taiwan. IEEE Robotic Computing 2017, pp.97 - 100, 2017, 〈http://icrc.asia.edu.tw/〉. 〈10.1109/IRC.2017.19〉. 〈hal-01524808〉
  • Gia-Hung Nguyen, Laure Soulier, Lynda Tamine, Nathalie Bricon-Souf. Modèle Neuronal de Recherche d'Information Augmenté par une Ressource Sémantique. Conférence francophone en Recherche d'Information et Applications (CORIA 2017), Mar 2017, Marseille, France. 〈hal-01517032〉
  • Gia-Hung Nguyen, Lynda Tamine, Laure Soulier, Nathalie Souf. Learning Concept-Driven Document Embeddings for Medical Information Search. Conference on Artificial Intelligence in Medicine (AIME 2017), Jun 2017, Vienna, Austria. 〈hal-01517094〉
  • Thibaut Durand, Taylor Mordan, Nicolas Thome, Matthieu Cord. WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Jul 2017, Honolulu, HI, United States. IEEE Conference on Computer Vision and Pattern Recognition, 2017, 〈http://cvpr2017.thecvf.com/〉. 〈hal-01515640〉
  • Taylor Mordan, Nicolas Thome, Matthieu Cord, Gilles Henaff. Deformable Part-based Fully Convolutional Network for Object Detection. British Machine Vision Conference (BMVC), Sep 2017, London, United Kingdom. 〈hal-01637070〉
  • Charles-Emmanuel Dias, Vincent Guigue, Patrick Gallinari. Text-based collaborative filtering for cold-start soothing and recommendation enrichment. AISR2017, May 2017, Paris, France. 〈hal-01640268〉
  • Ludovic Dos Santos, Benjamin Piwowarski, Patrick Gallinari. Gaussian Embeddings for Collaborative Filtering. 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Aug 2017, Tokyo, Japan. ACM, Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017, 〈http://sigir.org/sigir2017〉. 〈10.1145/3077136.3080722〉. 〈hal-01582488〉
  • Éloi Zablocki, Patrick Bordes, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari. LIP6@CLEF2017: Multi-Modal Spatial Role Labeling using Word Embeddings Working notes. CLEF 2017, 2017, Dublin, Ireland. CLEF 2017 Working Notes. 〈hal-01579493〉
  • Maxime Sangnier, Olivier Fercoq, Florence D'Alché-Buc. Data sparse nonparametric regression with epsilon-insensitive losses. Asian Conference on Machine Learning, Nov 2017, Seoul, South Korea. 〈hal-01593459〉
  • Ali Ziat, Bertrand Leroy, Nicolas Baskiotis, Ludovic Denoyer. Joint prediction of road-traffic and parking occupancy over a city with representation learning. 19th IEEE International Conference on Intelligent Transportation Systems, 2016, Rio de Janeiro, Brazil. 〈10.1109/ITSC.2016.7795634〉. 〈hal-01568009〉
  • Gia-Hung Nguyen, Laure Soulier, Lynda Tamine, Nathalie Bricon-Souf. IRIT @ TREC 2016 Clinical Decision Support Track. Text REtrieval Conference (TREC 2016), Nov 2016, Gaithersburg, MD, United States. Text REtrieval Conference (TREC 2016). 〈hal-01464681〉
  • Olivier Schwander, Stéphane Marchand-Maillet, Frank Nielsen. Comix: Joint Estimation and Lightspeed Comparison of Mixture Models. ICASSP 2016, 2016, Shanghai, China. ICASSP 2016, 2016, 〈10.1109/ICASSP.2016.7472117〉. 〈hal-01367923〉
  • Marion Chevalier, Nicolas Thome, Matthieu Cord, Jérôme Fournier, Gilles Henaff, et al.. LOW RESOLUTION CONVOLUTIONAL NEURAL NETWORK FOR AUTOMATIC TARGET RECOGNITION. 7th International Symposium on Optronics in Defence and Security, Feb 2016, Paris, France. 〈hal-01332061〉
  • Laure Soulier, Lynda Tamine, Gia-Hung Nguyen. Answering Twitter Questions: a Model for Recommending Answerers through Social Collaboration. CIKM 2016 - 25th ACM International Conference on Information and Knowledge Management, Oct 2016, Indianapolis, United States. Proceedings of the 25th ACM International Conference on Information and Knowledge Management, pp.267-276, 〈10.1145/2983323.2983771〉. 〈hal-01353587〉
  • Lynda Tamine, Laure Soulier. Collaborative Information Retrieval: Frameworks, Theoretical Models, and Emerging Topics. 2nd ACM International Conference on the Theory of Information Retrieval (ICTIR 2016), Sep 2016, Newark, DE, United States. The 2nd ACM International Conference on the Theory of Information Retrieval (ICTIR 2016), 〈http://ictir2016.org/〉. 〈10.1145/2970398.2970442〉. 〈hal-01348916〉
  • Gia-Hung Nguyen, Lynda Tamine, Laure Soulier, Nathalie Bricon-Souf. Toward a Deep Neural Approach for Knowledge-Based IR. Workshop on Neural Information Retrieval during the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2016), Jul 2016, Pise, Italy. ACM, Neu-IR ’16 SIGIR Workshop on Neural Information Retrieval, 〈http://sigir.org/sigir2016/〉. 〈hal-01348993〉
  • Lamjed Ben Jabeur, Laure Soulier, Lynda Tamine, Paul Mousset. A Product Feature-based User-Centric Ranking Model for E-Commerce Search. 7th Conference and Labs of the Evaluation Forum (CLEF 2016): "Information Access Evaluation meets Multilinguality, Multimodality and Interaction", Sep 2016, Evora, Portugal. Conference on Multilingual and Multimodal Information Access Evaluation (CLEF 2016), 〈http://clef2016.clef-initiative.eu/〉. 〈hal-01349111〉
  • Lamjed Ben Jabeur, Laure Soulier, Paul Mousset, Lynda Tamine. Living Ranking: from online to real-time information retrieval evaluation. Conference and Labs of the Evaluation Forum (CLEF 2016): "Information access Evaluation meets Multilinguality, Multimodality and Interaction", Sep 2016, Evora, Portugal. 7th International Conference of the CLEF Association, 〈http://clef2016.clef-initiative.eu/〉. 〈hal-01349114〉
  • Lynda Tamine, Laure Soulier, Lamjed Ben Jabeur, Frederic Amblard, Chihab Hanachi, et al.. Social Media-Based Collaborative Information Access: Analysis of Online Crisis-Related Twitter Conversations. 27th ACM Conference on Hypertext & Social Media, Jul 2016, Halifax, Canada. Proceedings of the 27th ACM Conference on Hypertext and Social Media, HT 2016, Halifax, NS, Canada, July 10-13, 2016, pp.159--168, 〈10.1145/2914586.2914589〉. 〈hal-01300387〉
  • Ludovic Dos Santos, Benjamin Piwowarski, Patrick Gallinari. Multilabel classification on heterogeneous graphs with gaussian embeddings. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery, Sep 2016, Riva del garda, Italy. ECML-PKDD 2016, 2016, 〈http://www.ecmlpkdd2016.org/〉. 〈hal-01352911〉
  • Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari. Bandit Contextuel pour la Capture de Données Temps Réel sur les Médias Sociaux. Semaine du Document Numérique et de la Recherche d'Information (SDNRI 2016), Mar 2016, Toulouse, France. pp.57-72, 〈https://www.irit.fr/sdnri2016/〉. 〈hal-01355408〉
  • Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari. Dynamic Data Capture from Social Media Streams: A Contextual Bandit Approach.. Tenth International Conference on Web and Social Media, ICWSM 2016, May 2016, Cologne, Germany. pp.130-139, 2016. 〈hal-01355400〉
  • Elie Guardia-Sebaoun, Vincent Guigue, Patrick Gallinari. Apprentissage de trajectoires temporelles pour la recommandation dans les communautés d’utilisateurs. CAp, 2016, Marseille, France. 〈hal-01356351〉
  • Damien Sileo, Vincent Guigue. Apprentissage relationnel pour la recommandation et la prédiction de données manquantes. CAp, 2016, Marseille, France. 〈hal-01356356〉
  • Charles-Emmanuel Dias, Vincent Guigue, Patrick Gallinari. Recommandation et analyse de sentiments dans un espace latent textuel. CORIA, 2016, Toulouse, France. 〈hal-01356349〉
  • Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari. Smart card in public transportation: designing a analysis system at the human scale. ITSC, 2016, Rio de Janeiro, Brazil. 〈hal-01356346〉
  • Cynthia Delauney, Nicolas Baskiotis, Vincent Guigue. Trajectory Bayesian Indexing : The Airport Ground Traffic Case. ITSC 2016 - 19th IEEE Intelligent Transportation Systems Conference, Nov 2016, Rio de Janeiro, Brazil. 〈hal-01356344〉
  • Nicolas Despres, Sylvain Lamprier, Benjamin Piwowarski. Apprentissage de Modèles de Langue Neuronaux pour la Recherche d'Information. Conférence en Recherche d'Infomations et Applications, Mar 2016, Toulouse, France. pp.717-732, 2016. 〈hal-01358680〉
  • Zeljko Kraljevic, Nicolas Baskiotis, Benjamin Piwowarski, Patrick Gallinari. Représentation temporelle des mots : application au clustering de micro-blogs.. Conférence en Recherche d'Infomations et Applications, Mar 2016, Toulouse, France. pp.531-544, 2016. 〈hal-01358679〉
  • Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari. Linear Bandits in Unknown Environments. ECML PKDD 2016 - European Conference on Machine Learning and Knowledge Discovery in Databases, Sep 2016, Riva Del Garda, Italy. Springer, 9852, pp.282-298, 2016, Lecture Notes in Computer Science. 〈10.1007/978-3-319-46227-1_18〉. 〈hal-01357953〉
  • Ali Ziat, Gabriella Contardo, Nicolas Baskiotis, Ludovic Denoyer. Learning Embeddings for Completion and Prediction of Relationnal Multivariate Time-Series. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - ESANN, 2016, Unknown, Unknown or Invalid Region. 2016. 〈hal-01357554〉
  • Aurélia Léon, Ludovic Denoyer. Policy-gradient methods for Decision Trees. ESANN - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2016, Unknown, Unknown or Invalid Region. 2016. 〈hal-01357555〉
  • Gabriella Contardo, Ludovic Denoyer, Thierry Artières. Sequential Cost-Sensitive Feature Acquisition. IDA 2016, 2016, Unknown, Unknown or Invalid Region. 2016. 〈hal-01357556〉
  • Simon Bourigault, Sylvain Lamprier, Patrick Gallinari. Apprentissage de Représentations Probabilistes pour la Prédiction de Diffusions d’Informations sur les Réseaux Sociaux. COnférence en Recherche d'Information et Applications 2016 (CORIA), Mar 2016, Toulouse, France. pp.89-104. 〈hal-01316884〉
  • Simon Bourigault, Sylvain Lamprier, Patrick Gallinari. Representation Learning for Information Diffusion through Social Networks: an Embedded Cascade Model. International Conference on Web Search and Data Mining, Feb 2016, San Francisco, United States. ACM, pp.573-582, 〈10.1145/2835776.2835817〉. 〈hal-01316795〉
  • Michael Blot, Matthieu Cord, Nicolas Thome. Max-min convolutional neural networks for image classification. ICIP 2016 - IEEE International Conference on Image Processing, Sep 2016, Phoenix, United States. IEEE, Image Processing (ICIP), 2016 IEEE International Conference on, pp.3678-3682, 2016, 〈10.1109/ICIP.2016.7533046〉. 〈hal-01372216〉
  • Lynda Tamine, Laure Soulier. Collaborative Information Retrieval: Concepts, Models and Evaluation. Advances in Information Retrieval - 38th European Conference on IR Research, ECIR 2016, Mar 2016, Padua, Italy. Springer, Advances in Information Retrieval - 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20-23, 2016. Proceedings, 9626, pp.885-888, 2016, Lecture Notes in Computer Science. 〈10.1007/978-3-319-30671-1_86〉. 〈hal-01296314〉
  • Laure Soulier, Lamjed Ben Jabeur, Paul Mousset, Lynda Tamine. Quels facteurs de pertinence pour la recherche de produits e-commerce ?. CORIA 2016 - Conférence en Recherche d'Informations et Applications- 13th French Information Retrieval Conference. CIFED 2016 Colloque International Francophone sur l'Ecrit et le Document, Mar 2016, Toulouse, France. CORIA 2016 - Conférence en Recherche d'Informations et Applications- 13th French Information Retrieval Conference. CIFED 2016 Colloque International Francophone sur l'Ecrit et le Document. 〈hal-01296325〉
  • Micael Carvalho, Matthieu Cord, Sandra Avila, Nicolas Thome, Eduardo Valle. Deep Neural Networks Under Stress. IEEE International Conference on Image Processing (ICIP 2016), Sep 2016, Phoenix, AZ, United States. 〈http://2016.ieeeicip.org/〉. 〈10.1109/ICIP.2016.7533200〉. 〈hal-01340298〉
  • Thibaut Durand, Nicolas Thome, Matthieu Cord. WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks. 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Jun 2016, Las Vegas, NV, United States. 〈http://cvpr2016.thecvf.com/〉. 〈hal-01343785〉
  • Xin Wang, Nicolas Thome, Matthieu Cord. GAZE LATENT SUPPORT VECTOR MACHINE FOR IMAGE CLASSIFICATION. IEEE International Conference on Image Processing (ICIP), Sep 2016, Phoenix, AZ, United States. 〈10.1109/ICIP.2016.7532354〉. 〈hal-01342580〉
  • Simon Bourigault, Sylvain Lamprier, Patrick Gallinari. Learning Distributed Representations of Users for Source Detection in Online Social Networks. ECML PKDD 2016 - European Conference on Machine Learning and Knowledge Discovery in Databases, Sep 2016, Riva del Garda, Italy. Springer, 9852, pp.265-281, Lecture Notes in Computer Science. 〈10.1007/978-3-319-46227-1_17〉. 〈hal-01345751〉
  • Marc Teva Law, Nicolas Thome, Stéphane Gançarski, Matthieu Cord. Apprentissage de métrique appliqué à la détection de changement de page Web et aux attributs relatifs. CORIA 2015 - Conférence en Recherche d'Infomations et Applications - 12th French Information Retrieval Conference, Mar 2015, Paris, France. 〈dblp.uni-trier.de/db/conf/coria/coria2015.html〉. 〈hal-01500746〉
  • Sylvain Lamprier, Simon Bourigault, Patrick Gallinari. Extracting Diffusion Channels from Real-World Social Data: a Delay-Agnostic Learning of Transmission Probabilities. International Conference on Advances in Social Networks Analysis and Mining 2015, Aug 2015, Paris, France. 〈10.1145/2808797.2808865〉. 〈hal-01316820〉
  • Raphael Puget, Nicolas Baskiotis. Hierarchical Label Partitioning for Large Scale Classification. IEEE International Conference on Data Science and Advanced Analytics, DSAA'2015, Oct 2015, Paris, France. 2015. 〈hal-01207430〉
  • Raphael Puget, Nicolas Baskiotis, Patrick Gallinari. Sequential Dynamic Classification for Large Scale Multiclass Problems. Extreme Classification Workshop at ICML, Jul 2015, Lille, France. 2015. 〈hal-01207428〉
  • Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari. Policies for Contextual Bandit Problems with Count Payoffs.. 27th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2015, Nov 2015, Vietri Sul Mare, Italy. IEEE, pp.542-549, 2015, 〈10.1109/ICTAI.2015.85〉. 〈hal-01355404〉
  • Thibault Gisselbrecht, Ludovic Denoyer, Patrick Gallinari, Sylvain Lamprier. Apprentissage en temps réel pour la collecte d'information dans les réseaux sociaux.. CORIA 2015 - Conférence en Recherche d'Infomations et Applications, Mar 2015, Paris, France. pp.7-22, 2015. 〈hal-01355405〉
  • Thibault Gisselbrecht, Patrick Gallinari, Sylvain Lamprier, Ludovic Denoyer. WhichStreams: A Dynamic Approach for Focused Data Capture from Large Social Media. Ninth International Conference on Web and Social Media, ICWSM 2015, May 2015, Oxford, United Kingdom. pp.130-139, 2015. 〈hal-01355397〉
  • Elie Guardia-Sebaoun, Vincent Guigue, Patrick Gallinari. Latent Trajectory Modeling: a Light and Efficient Way to Introduce Time in Recommender Systems. RecSys, 2015, Vienne, Austria. 〈hal-01356361〉
  • Ludovic Dos Santos, Benjamin Piwowarski, Patrick Gallinari. Graph Based Method Approach to the ImageCLEF2015 Task1 - Image Annotation. Linda Cappellato and Nicola Ferro and Gareth J. F. Jones and Eric SanJuan. CLEF 2015 - Conference and Labs of the Evaluation forum, Sep 2015, Toulouse, France. CEUR-WS.org, Working Notes of CLEF 2015 - Conference and Labs of the Evaluation forum, Toulouse, France, September 8-11, 2015., 1391, 2015, CEUR Workshop Proceedings. 〈hal-01358685〉
  • Luc-Aurélien Gauthier, Patrick Gallinari, Benjamin Piwowarski. Leveraging Rating Behavior to Predict Negative Social Ties. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Aug 2015, Paris, France. ACM, pp.623-628, 2015, 〈10.1145/2808797.2809402〉. 〈hal-01358683〉
  • Luc-Aurélien Gauthier, Benjamin Piwowarski, Patrick Gallinari. Polarité des jugements et des interactions pour le filtrage collaboratif et la prédiction de liens sociaux. CORIA 2015 - Conférence en Recherche d'Infomations et Applications - 12th French Information Retrieval Conference, Mar 2015, Paris, France. CORIA 2015 - Conférence en Recherche d'Infomations et Applications - 12th French Information Retrieval Conference, Paris, France, March 18-20, 2015., pp.139-154, 2015. 〈hal-01358684〉
  • Ali Ziat, Gabriella Contardo, Nicolas Baskiotis, Ludovic Denoyer. Car-traffic forecasting: A representation learning approach. Workshop MUD, Mining Urban Data 201, 2015, Unknown, Unknown or Invalid Region. 2015. 〈hal-01357558〉
  • Aurélia Léon, Ludovic Denoyer. Reinforced Decision Trees. European Workshop on Reinforcement Learning - EWRL, 2015, Unknown, Unknown or Invalid Region. 2015. 〈hal-01357557〉
  • Luepol Pipanmaekaporn, Ludmilla Tajtelbom, Vincent Guigue, Thierry Artières. Designing semantic feature spaces for brain-reading. European Symposium on Artificial Neural Networks, Apr 2015, Bruges, Belgium. pp.433-438. 〈hal-01196369〉
  • Cédric Le Barz, Nicolas Thome, Matthieu Cord, Stephane Herbin, Martial Sanfourche. Absolute geo-localization thanks to Hidden Markov Model and exemplar-based metric learning. 6th international Workshop on Computer Vision in Vehicle Technology, Jun 2015, CHICAGO, United States. 2015. 〈hal-01198673〉
  • Marion Chevalier, Nicolas Thome, Matthieu Cord, Jérôme Fournier, Gilles Henaff, et al.. LR-CNN FOR FINE-GRAINED CLASSIFICATION WITH VARYING RESOLUTION. IEEE International Conference on Image Processing, Sep 2015, Québec city, Canada. 〈hal-01196958〉
  • Xin Wang, Devinder Kumar, Nicolas Thome, Matthieu Cord, Frederic Precioso. RECIPE RECOGNITION WITH LARGE MULTIMODAL FOOD DATASET. IEEE International Conference on Multimedia & Expo (ICME), workshop CEA, Jun 2015, Turin, Italy. 〈10.1109/ICMEW.2015.7169757〉. 〈hal-01196959〉
  • Thibaut Durand, Nicolas Thome, Matthieu Cord. MANTRA: Minimum Maximum Latent Structural SVM for Image Classification and Ranking. IEEE International Conference on Computer Vision (ICCV15), Dec 2015, Santiago, Chile. 〈http://pamitc.org/iccv15/〉. 〈hal-01343784〉
  • Gabriel Dulac-Arnold, Ludovic Denoyer, Nicolas Thome, Matthieu Cord, Patrick Gallinari. Sequentially Generated Instance-Dependent Image Representations for Classification. International Conference on Learning Representations, ICLR 2014, Apr 2014, Banff, Canada. 〈hal-01215181〉
  • Mathieu Radenen, Pierrick Milhorat, Thierry Artières, Jerome Boudy, Gérard Chollet. Etude des HMMs paramétriques pour la reconnaissance de parole en environnement bruité. JEP 2014 : 30e Journées d'Etude sur la Parole, Jun 2014, Le Mans, France. Actes JEP 2014 : 30e Journées d'Etude sur la Parole, pp.466 - 474, 2014. 〈hal-01263482〉
  • Mickaël Poussevin, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari. Factorisation matricielle sous contraintes pour l'analyse des usages du métro parisien. CAp'2014 : Conférence d'Apprentissage Automatique, Jul 2014, Saint-Etienne, France. 〈hal-01070099〉
  • Luca Rubini, Rossella Cancelliere, Patrick Gallinari, Andrea Grosso, Antonino Raiti. Computational Experience with Pseudoinversion-Based Training of Neural Networks Using Random Projection Matrices. AIMSA 2014 - 16th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, Sep 2014, Varna, Bulgaria. Artificial Intelligence: Methodology, Systems, and Applications - 16th International Conference, AIMSA 2014, Varna, Bulgaria, September 11-13, 2014. Proceedings, pp.236--245, 2014, 〈10.1007/978-3-319-10554-3_24〉. 〈hal-01524739〉
  • Raphael Puget, Nicolas Baskiotis, Patrick Gallinari. Scalable Learnability Measure for Hierarchical Learning in Large Scale Multi-Class Classification. WSDM Workshop Web-Scale Classification: Classifying Big Data from the Web, 2014, New York, United States. 2014. 〈hal-01068413〉
  • Mickaël Poussevin, Elie Guardia-Sebaoun, Vincent Guigue, Patrick Gallinari. Recommandation par combinaison de filtrage collaboratif et d'analyse de sentiments. CORIA 2014 - COnférence en Recherche d’Information et Applications, Mar 2014, Nancy, France. pp.27-42, 2014. 〈hal-00965405〉
  • Sylvain Lamprier, Tewfik Ziadi, Nicolas Baskiotis, Lom Messan Hillah. Exact and Efficient Temporal Steering of Software Behavioral Model Inference. 19th IEEE International Conference on Engineering of Complex Computer Systems (ICECCS), Aug 2014, Tianjin, China. IEEE, pp.166-175, 〈10.1109/ICECCS.2014.31〉. 〈hal-01217268〉
  • Mickaël Poussevin, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari. Mining ticketing logs for usage characterization with nonnegative matrix factorization. SenseML 2014 -- ECML Workshop, Sep 2014, Nancy, France. 〈hal-01070359〉
  • Cédric Le Barz, Nicolas Thome, Matthieu Cord, Stéphane Herbin, Martial Sanfourche. Global Robot Ego-localization Combining Image Retrieval and HMM-based Filtering. 6th Workshop on Planning, Perception and Navigation for Intelligent Vehicles, Sep 2014, Chicago, United States. 6 p., 2014. 〈hal-01069869〉
  • Yu Ding, Thierry Artières, Catherine Pelachaud. Laughing Body. WACAI, Feb 2014, Rouen, France. 2014. 〈hal-01203795〉
  • Maria Laura Maag, Ludovic Denoyer, Patrick Gallinari. Graph Anonymization using Machine Learning. 2014 IEEE 28th International Conference on Advanced Information Networking and Applications, May 2014, Victoria, Canada. pp.1111-1118, 2014, 〈http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6838788〉. 〈10.1109/AINA.2014.20〉. 〈hal-01060592〉
  • Yann Jacob, Ludovic Denoyer, Patrick Gallinari. Learning latent representations of nodes for classifying in heterogeneous social networks. The 7th ACM international conference on Web search and data mining, Feb 2014, New York City, United States. pp.373--382, 〈10.1145/2556195.2556225〉. 〈hal-01212733〉
  • Luc-Aurélien Gauthier, Benjamin Piwowarski, Patrick Gallinari. Filtrage collaboratif et intégration de la polarité des notes. Conférence en Recherche d'Infomations et Applications - 11th French Information Retrieval Conference, Mar 2014, Nancy, France. pp.11-26, 2014. 〈hal-01358686〉
  • Ludovic Denoyer, Patrick Gallinari. Deep Sequential Neural Networks. EWRL 2015 - Workshop Deep Learning NIPS 2014, 2014, Unknown, Unknown or Invalid Region. 2014. 〈hal-01357560〉
  • Simon Bourigault, Cédric Lagnier, Sylvain Lamprier, Ludovic Denoyer, Patrick Gallinari. Learning social network embeddings for predicting information diffusion. The 7th ACM international conference on Web search and data mining, Feb 2014, New York, United States. ACM, pp.393-402, 〈10.1145/2556195.2556216〉. 〈hal-01211783〉
  • Simon Bourigault, Cédric Lagnier, Sylvain Lamprier, Ludovic Denoyer, Patrick Gallinari. Apprentissage de représentation pour la diffusion d'Information dans les réseaux sociaux. COnférence en Recherche d'Information et Applications 2014, CORIA 2014, Mar 2014, Nancy, France. pp.155-170. 〈hal-01211789〉
  • Thibaut Durand, Nicolas Thome, Matthieu Cord, David Picard. Incremental learning of latent structural SVM for weakly supervised image classification. IEEE International Conference on Image Processing, Oct 2014, Paris, France. IEEE, pp.4246-4250, 2014, 〈10.1109/ICIP.2014.7025862〉. 〈hal-01077058〉
  • Thibaut Durand, David Picard, Nicolas Thome, Matthieu Cord. SEMANTIC POOLING FOR IMAGE CATEGORIZATION USING MULTIPLE KERNEL LEARNING. IEEE International Conference on Image Processing, Oct 2014, Paris, France. 2014. 〈hal-01077046〉
  • Marc Law, Nicolas Thome, Matthieu Cord. Fantope Regularization in Metric Learning. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2014, Columbus, Ohio, United States. pp.1051 - 1058, 2014, 〈10.1109/CVPR.2014.138〉. 〈hal-01094074〉
  • Yann Jacob, Ludovic Denoyer, Patrick Gallinari. Classification dans les graphes hétérogénes basée sur une représentation latente des noeuds. CORIA 2013, Apr 2013, Neuchâtel, Suisse. pp.85-100, 2013. 〈hal-00823267〉
  • Ricardo Lage, Ludovic Denoyer, Patrick Gallinari, Peter 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, Aug 2013, Niagara Falls, Ontario, Canada. IEEE, pp.620-627. 〈hal-01215178〉
  • Sylvain Lamprier, Nicolas Baskiotis, Tewfik Ziadi, Lom Messan Hillah. CARE: a platform for reliable Comparison and Analysis of Reverse-Engineering techniques. 18th IEEE International Conference on Engineering of Complex Computer Systems -- ICECCS, Jul 2013, Singapore, Singapore. IEEE, pp.252-255, 〈10.1109/ICECCS.2013.44〉. 〈hal-01216087〉
  • Sandra Avila, Nicolas Thome, Matthieu Cord, Eduardo Valle, Arnaldo De Albuquerque Araújo. Extended Bag-of-Words Formalism for Image Classification. Brazilian Symposium on Computer Graphics and Image Processing, Aug 2013, Arequipa, Peru. 〈hal-01216114〉
  • Christian Theriault, Nicolas Thome, Matthieu Cord. Dynamic Scene Classification: Learning Motion Descriptors with Slow Features Analysis.. IEEE Conference on Computer Vision and Pattern Recognition, Jun 2013, Portland, OR, United States. IEEE, pp.2603-2610, 〈10.1109/CVPR.2013.336〉. 〈hal-01216646〉
  • Guthemberg Silvestre, Sébastien Monnet, David Buffoni, Pierre Sens. Predicting Popularity and Adapting Replication of Internet Videos for High-Quality Delivery. ICPADS 2013 - 19th IEEE International Conference on Parallel and Distributed Systems, Dec 2013, Seoul, South Korea. IEEE, Parallel and Distributed Systems (ICPADS), 2013 International Conference on, pp.412-419, 2013, 〈10.1109/ICPADS.2013.64〉. 〈hal-00930200〉
  • Cédric Lagnier, Ludovic Denoyer, Eric Gaussier, Patrick Gallinari. Predicting Information Diffusion in Social Networks using Content and User's Profiles. 35th European Conference on IR Research, ECIR 2013, Mar 2013, Moscou, Russia. 7814, pp.74-85, 2013, Lecture Notes in Computer Science. 〈10.1007/978-3-642-36973-5_7〉. 〈hal-00881524〉
  • Ali Fakeri-Tabrizi, Massih-Reza Amini, Patrick Gallinari. Multiview Semi-Supervised Ranking for Automatic Image Annotation. ACM International Conference on Multimedia, Oct 2013, Barcelone, Spain. ACM, pp.513-516, 2013, 〈10.1145/2502081.2502136〉. 〈hal-00881259〉
  • Yu Ding, Mathieu Radenen, Thierry Artières, Catherine Pelachaud. Speech-driven eyebrow motion synthesis with contextual Markovian models. IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2013, May 2013, Vancouver, Canada. IEEE, pp.3756-3760, 〈10.1109/icassp.2013.6638360〉. 〈hal-01215185〉
  • Abdelhalim Rafrafi, Vincent Guigue, Patrick Gallinari. Classification de Sentiments Multi-Domaines en Contexte Hétérogène et Passage à l'Echelle. CORIA, Apr 2013, Neuchâtel, Suisse. 2013. 〈hal-01202849〉
  • Elie Guardia-Sebaoun, Abdelhalim Rafrafi, Vincent Guigue, Patrick Gallinari. Cross-Media Sentiment Classification and Application to Box-Office Forecasting. the 10th Conference on Open Research Areas in Information Retrieval (OAIR '13), May 2013, Lisbon, Portugal. Proceedings of the 10th Conference on Open Research Areas in Information Retrieval (OAIR '13), pp.201-208, 2013. 〈hal-01203008〉
  • Sheng Gao, Ludovic Denoyer, Patrick Gallinari, Jun Guo. Latent factor blockmodel for modelling relational data. 35th European Conference on IR Research, ECIR 2013, Mar 2013, Moscou, Russia. Springer, 7814, pp.447-458, 2013, Lecture Notes in Computer Science. 〈10.1007/978-3-642-36973-5_38〉. 〈hal-01357563〉
  • Thibaut Durand, Nicolas Thome, Matthieu Cord, Sandra Avila. Image classification using object detectors. IEEE International Conference on Image Processing, Sep 2013, Melbourne, Australia. pp.4340 - 4344, 2013, 〈10.1109/ICIP.2013.6738894〉. 〈hal-01078079〉
  • Marc Law, Nicolas Thome, Matthieu Cord. Quadruplet-Wise Image Similarity Learning. IEEE International Conference on Computer Vision (ICCV), Dec 2013, Sydney, Australia. pp.249 - 256, 2013, 〈10.1109/ICCV.2013.38〉. 〈hal-01094069〉
  • Moustapha Cisse, Nicolas Usunier, Thierry Artières, Patrick Gallinari. Robust Bloom Filters for Large MultiLabel Classification Tasks. Advances in Neural Information Processing Systems 26, Dec 2013, Lake Tahoe, United States. pp.1851-1859, 2013. 〈hal-00942742〉
  • Hanlin Goh, Nicolas Thome, Matthieu Cord, Joo-Hwee Lim. Top-Down Regularization of Deep Belief Networks. C.J.C. Burges; L. Bottou; M. Welling; Z. Ghahramani; K.Q. Weinberger. Advances in Neural Information Processing Systems 26, Dec 2013, Lake Tahoe, United States. pp.1878-1886. 〈hal-00947569〉
  • Jules Françoise, Ianis Lallemand, Thierry Artières, Frédéric Bevilacqua, Norbert Schnell, et al.. Perspectives pour l'apprentissage interactif du couplage geste-son. Journées d'Informatique Musicale (JIM 2013), May 2013, PARIS, France. pp.77-84, 2013. 〈hal-00847207〉
  • Gabriel Dulac-Arnold, Ludovic Denoyer, Patrick Gallinari. Lecture Séquentielle de Documents pour la Classification. CORIA, Mar 2012, Bordeaux, France. CORIA, pp.245-259. 〈hal-01271754〉
  • Clément Calauzènes, Nicolas Usunier, Patrick Gallinari. On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking. Advances in Neural Information Processing Systems 25 (NIPS 2012), Dec 2012, Lake Tahoe, NV, United States. Curran Associates, Inc., Advances in Neural Information Processing Systems 25, pp.197-205, 2012. 〈hal-00834050〉
  • Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari. Apprentissage par renforcement rapide pour des grands ensembles d'actions en utilisant des codes correcteurs d'erreur. Olivier Buffet. Journées Francophones sur la planification, la décision et l'apprentissage pour le contrôle des systèmes - JFPDA 2012, May 2012, Villers-lès-Nancy, France. 12 p, 2012. 〈hal-00736322〉
  • Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari. Classification Localement Parcimonieuse par Méthodes Séquentielles. CAP 2012 - Conférence Francophone sur l'Apprentissage Automatique, May 2012, Nancy, France. 2012. 〈hal-01357567〉
  • Anis Najar, Ludovic Denoyer, Patrick Gallinari. Predicting information diffusion on social networks with partial knowledge. WWW'12 - The 21st International Conference on World Wide Web, Apr 2012, Lyon, France. ACM, pp.1197-1204, 2012, 〈10.1145/2187980.2188261〉. 〈hal-01357568〉
  • Sheng Gao, Ludovic Denoyer, Patrick Gallinari. Link Prediction via Latent Factor Blockmodel. WWW'12 - The 21st International Conference on World Wide Web, Apr 2012, Lyon, France. ACM, pp.507-508, 2012, 〈10.1145/2187980.2188100〉. 〈hal-00687014〉
  • Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari. Fast Reinforcement Learning with Large Action Sets Using Error-Correcting Output Codes for MDP Factorization. European Conference on Machine Learning, Sep 2012, Bristol, United Kingdom. Springer, Machine Learning and Knowledge Discovery in Databases, 7524, pp.180-194, 2012, Lecture Notes in Computer Science. 〈http://link.springer.com/chapter/10.1007/978-3-642-33486-3_12〉. 〈10.1007/978-3-642-33486-3_12〉. 〈hal-00747729〉

Poster

  • Georgios Balikas, Nicolas Baskiotis. Detecting Influence in User-Activity Logs. International Conference on Computational Social Science (ICCSS), 2015, Helsinki, Finland. 2015. 〈hal-01364100〉
  • Cédric Le Barz, Nicolas Thome, Matthieu Cord, Stéphane Herbin, Martial Sanfourche. EXEMPLAR BASED METRIC LEARNING FOR ROBUST VISUAL LOCALIZATION. IEEE International Conference on Image Processing, ICIP 2015, Sep 2015, Québec, Canada. pp.388-w6mP-151, 2015. 〈hal-01198662〉
  • Gabriella Contardo, Ludovic Denoyer, Thierry Artières, Patrick Gallinari. Learning States Representations in POMDP. International Conference on Learning Representations, ICLR 2014, Apr 2014, Banff, Canada. 2014. 〈hal-01222594〉
  • Ludovic Denoyer, Patrick Gallinari. Deep Sequential Neural Network. Deep Learning and Representation Learning Workshop, NIPS 2014, Dec 2014, Montreal, Canada. 〈hal-01222608〉
  • Cédric Lagnier, Simon Bourigault, Sylvain Lamprier, Ludovic Denoyer, Patrick Gallinari. Learning Information Spread in Content Networks. ICLR 2014 - International Conference on Learning Representations, Apr 2014, Banff, Canada. pp.abs/1312.6169, 2014, CoRR. 〈hal-01357961〉
  • Gabriella Contardo, Ludovic Denoyer, Thierry Artières. Representation Learning for cold-start recommendation. ICLR, Apr 2014, Banff, Canada. 2014. 〈hal-01357559〉

Ouvrage (y compris édition critique et traduction)

  • Marc Sebban, Ludovic Denoyer, Amaury Habrard. Proceddings of 16ème Conférence d’Apprentissage CAp’2014. 2014. 〈hal-01357561〉

Chapitre d'ouvrage

  • S. Clémençon, Nicolas Baskiotis, Nicolas Vayatis. Anomaly Ranking in a High Dimensional Space: The Unsupervised TreeRank Algorithm. Celebi, Emre M. and Aydin, Kemal. Unsupervised Learning Algorithms, Springer International Publishing, pp.33--54, 2016, 978-3-319-24211-8. 〈10.1007/978-3-319-24211-8_2〉. 〈hal-01364091〉
  • Mickaël Poussevin, Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari. Mining ticketing logs for usage characterization with nonnegative matrix factorization. Big Data Analytics in the Social and Ubiquitous Context, 9546, Springer, pp.147-164, 2016, Lecture Notes in Computer Science, 978-3-319-29008-9. 〈hal-01356359〉
  • Marc Teva Law, Nicolas Thome, Matthieu Cord. Bag-of-Words Image Representation: Key Ideas and Further Insight. Fusion in Computer Vision - Understanding Complex Visual Content, Springer, pp.29-52, 2014, Advances in Computer Vision and Pattern Recognition, 〈10.1007/978-3-319-05696-8_2〉. 〈hal-01221734〉
  • Marie-Jeanne Lesot, Frédéric Pichon, Thomas Delavallade. Cotation quantitative de l'information : modélisation et évaluation expérimentale. Confiance et défiance envers l'information : concepts, besoins, méthodes et perspective, Hermès, pp.195-231, 2013. 〈hal-01221608〉
  • Francis Maes, Ludovic Denoyer, Patrick Gallinari. Corpus-Based Structure Mapping of XML Document Corpora: A Reinforcement Learning Based Model. Modeling, Learning, and Processing of Text Technological Data Structures, 370, Springer Berlin/Heidelberg, pp.249-266, 2012, Studies in Computational Intelligence, 978-3-642-22612-0. 〈10.1007/978-3-642-22613-7_13〉. 〈hal-01305048〉

Pré-publication, Document de travail

  • Benjamin Piwowarski, Sylvain Lamprier, Nicolas Desprès. Parameterized Neural Network Language Models for Information Retrieval. 2016. 〈hal-01357956〉
  • Sheng Gao, Ludovic Denoyer, Patrick Gallinari. Modeling Relational Data via Latent Factor Blockmodel. 10 pages, 12 figures. 2012. 〈hal-00693841〉
  • Sheng Gao, Ludovic Denoyer, Patrick Gallinari. Probabilistic Latent Tensor Factorization Model for Link Pattern Prediction in Multi-relational Networks. 19pages, 5 figures. 2012. 〈hal-00693843〉

Rapport

  • Olivier Dufour, Hervé Glotin, Pascale Giraudet, Thierry Artières, Yves Bas. Classification de signaux acoustiques : Recherche des valeurs optimales des 17 paramètres d'entrée de la fonction melfcc. [Rapport de recherche] LSIS. 2013. 〈hal-01488785〉
  • Olivier Dufour, Hervé Glotin, Pascale Giraudet, Thierry Artières, Yves Bas. Classification de signaux acoustiques : Classification de matrices cepstre par Support Vector Machine. [Rapport de recherche] LSIS. 2013. 〈hal-01488786〉
  • Ludovic Denoyer, Patrick Gallinari, Anna-Marie Vercoustre. Xml mining challenge at inex 2005. [Research Report] Technical report, University of Paris VI, INRIA. 2006. 〈hal-01357584〉

Thèse

  • Sandra Avila. EXTENDED BAG-OF-WORDS FORMALISM FOR IMAGE CLASSIFICATION. Computer Vision and Pattern Recognition [cs.CV]. Université Pierre et Marie Curie - Paris VI, 2013. English. 〈tel-00958547〉