
Patrick Gallinari
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- affiliation: LIP6, Paris
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2020 – today
- 2020
- [j68]Thi Phuong Thao Tran, Ahlame Douzal Chouakria, Saeed Varasteh Yazdi, Paul Honeine
, Patrick Gallinari:
Interpretable time series kernel analytics by pre-image estimation. Artif. Intell. 286: 103342 (2020) - [j67]Yu Zhao, Anxiang Zhang, Huali Feng, Qing Li, Patrick Gallinari, Fuji Ren:
Knowledge graph entity typing via learning connecting embeddings. Knowl. Based Syst. 196: 105808 (2020) - [j66]Evangelos Moschos
, Alexandre Stegner
, Olivier Schwander
, Patrick Gallinari
:
Classification of Eddy Sea Surface Temperature Signatures Under Cloud Coverage. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 3437-3447 (2020) - [c233]Clara Gainon de Forsan de Gabriac, Amina Djelloul, Constance Scherrer, Vincent Guigue, Patrick Gallinari:
Resume: A Robust Framework for Professional Profile Learning & Evaluation. CIRCLE 2020 - [c232]Clément Rebuffel, Laure Soulier, Geoffrey Scoutheeten, Patrick Gallinari:
Capturing Entity Hierarchy in Data-to-Text Generative Models. CIRCLE 2020 - [c231]Clément Rebuffel, Laure Soulier, Geoffrey Scoutheeten, Patrick Gallinari:
A Hierarchical Model for Data-to-Text Generation. ECIR (1) 2020: 65-80 - [c230]Bruno Taillé, Vincent Guigue, Patrick Gallinari:
Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization. ECIR (2) 2020: 383-391 - [c229]Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari:
Let's Stop Incorrect Comparisons in End-to-end Relation Extraction! EMNLP (1) 2020: 3689-3701 - [c228]Charles Monzani, Martial Hue, Patrick Gallinari:
Transfert entre campagnes de Real-Time Bidding. EGC 2020: 269-276 - [c227]Ibrahim Ayed, Emmanuel de Bézenac, Arthur Pajot, Patrick Gallinari:
Learning the Spatio-Temporal Dynamics of Physical Processes from Partial Observations. ICASSP 2020: 3232-3236 - [c226]Evangelos Moschos, Olivier Schwander, Alexandre Stegner, Patrick Gallinari:
Deep-SST-Eddies: A Deep Learning Framework to Detect Oceanic Eddies in Sea Surface Temperature Images. ICASSP 2020: 4307-4311 - [c225]Jean-Yves Franceschi, Edouard Delasalles, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari:
Stochastic Latent Residual Video Prediction. ICML 2020: 3233-3246 - [c224]Clément Rebuffel, Laure Soulier, Geoffrey Scoutheeten, Patrick Gallinari:
PARENTing via Model-Agnostic Reinforcement Learning to Correct Pathological Behaviors in Data-to-Text Generation. INLG 2020: 120-130 - [c223]Thomas Scialom, Patrick Bordes, Paul-Alexis Dray, Jacopo Staiano, Patrick Gallinari:
What BERT Sees: Cross-Modal Transfer for Visual Question Generation. INLG 2020: 327-337 - [c222]Emmanuel de Bézenac, Syama Sundar Rangapuram, Konstantinos Benidis, Michael Bohlke-Schneider, Richard Kurle, Lorenzo Stella, Hilaf Hasson, Patrick Gallinari, Tim Januschowski:
Normalizing Kalman Filters for Multivariate Time Series Analysis. NeurIPS 2020 - [i32]Bruno Taillé, Vincent Guigue, Patrick Gallinari:
Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization. CoRR abs/2001.08053 (2020) - [i31]Patrick Bordes, Eloi Zablocki, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari:
Incorporating Visual Semantics into Sentence Representations within a Grounded Space. CoRR abs/2002.02734 (2020) - [i30]Jean-Yves Franceschi, Edouard Delasalles, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari:
Stochastic Latent Residual Video Prediction. CoRR abs/2002.09219 (2020) - [i29]Thomas Scialom, Patrick Bordes, Paul-Alexis Dray, Jacopo Staiano, Patrick Gallinari:
BERT Can See Out of the Box: On the Cross-modal Transferability of Text Representations. CoRR abs/2002.10832 (2020) - [i28]Jérémie Donà, Jean-Yves Franceschi, Sylvain Lamprier, Patrick Gallinari:
PDE-Driven Spatiotemporal Disentanglement. CoRR abs/2008.01352 (2020) - [i27]Skander Karkar, Ibrahim Ayed, Emmanuel de Bézenac, Patrick Gallinari:
A Principle of Least Action for the Training of Neural Networks. CoRR abs/2009.08372 (2020) - [i26]Bruno Taillé, Vincent Guigue, Geoffrey Scoutheeten, Patrick Gallinari:
Let's Stop Incorrect Comparisons in End-to-end Relation Extraction! CoRR abs/2009.10684 (2020) - [i25]Vincent Le Guen, Yuan Yin, Jérémie Donà, Ibrahim Ayed, Emmanuel de Bézenac, Nicolas Thome, Patrick Gallinari:
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting. CoRR abs/2010.04456 (2020) - [i24]Clément Rebuffel, Laure Soulier, Geoffrey Scoutheeten, Patrick Gallinari:
PARENTing via Model-Agnostic Reinforcement Learning to Correct Pathological Behaviors in Data-to-Text Generation. CoRR abs/2010.10866 (2020) - [i23]Patrick Bordes, Eloi Zablocki, Benjamin Piwowarski, Patrick Gallinari:
Transductive Zero-Shot Learning using Cross-Modal CycleGAN. CoRR abs/2011.06850 (2020) - [i22]Hatem Hajri, Manon Césaire, Théo Combey, Sylvain Lamprier, Patrick Gallinari:
Stochastic sparse adversarial attacks. CoRR abs/2011.12423 (2020)
2010 – 2019
- 2019
- [j65]Sylvain Lamprier
, Thibault Gisselbrecht, Patrick Gallinari:
Contextual bandits with hidden contexts: a focused data capture from social media streams. Data Min. Knowl. Discov. 33(6): 1853-1893 (2019) - [j64]Yu Zhao, Huali Feng, Patrick Gallinari:
Embedding Learning with Triple Trustiness on Noisy Knowledge Graph. Entropy 21(11): 1083 (2019) - [j63]Marco Botta, Rossella Cancelliere
, Leo Ghignone, Fabio Tango, Patrick Gallinari, Clara Luison:
Real-time detection of driver distraction: random projections for pseudo-inversion-based neural training. Knowl. Inf. Syst. 60(3): 1549-1564 (2019) - [j62]Edouard Delasalles
, Ali Ziat, Ludovic Denoyer, Patrick Gallinari:
Spatio-temporal neural networks for space-time data modeling and relation discovery. Knowl. Inf. Syst. 61(3): 1241-1267 (2019) - [c221]Patrick Bordes, Eloi Zablocki, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari:
Un modèle multimodal d'apprentissage de représentations de phrases qui préserve la sémantique visuelle. CORIA 2019 - [c220]Patrick Bordes, Eloi Zablocki, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari:
Incorporating Visual Semantics into Sentence Representations within a Grounded Space. EMNLP/IJCNLP (1) 2019: 696-707 - [c219]Ibrahim Ayed
, Nicolas Cedilnik, Patrick Gallinari, Maxime Sermesant:
EP-Net: Learning Cardiac Electrophysiology Models for Physiology-Based Constraints in Data-Driven Predictions. FIMH 2019: 55-63 - [c218]Arthur Pajot, Emmanuel de Bézenac, Patrick Gallinari:
Unsupervised Adversarial Image Reconstruction. ICLR (Poster) 2019 - [c217]Eloi Zablocki, Patrick Bordes, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari:
Context-Aware Zero-Shot Learning for Object Recognition. ICML 2019: 7292-7303 - [c216]Marco Roberti
, Giovanni Bonetta, Rossella Cancelliere, Patrick Gallinari:
Copy Mechanism and Tailored Training for Character-Based Data-to-Text Generation. ECML/PKDD (2) 2019: 648-664 - [i21]Ibrahim Ayed, Emmanuel de Bézenac, Arthur Pajot, Julien Brajard, Patrick Gallinari:
Learning Dynamical Systems from Partial Observations. CoRR abs/1902.11136 (2019) - [i20]Marco Roberti, Giovanni Bonetta, Rossella Cancelliere, Patrick Gallinari:
Copy mechanism and tailored training for character-based data-to-text generation. CoRR abs/1904.11838 (2019) - [i19]Eloi Zablocki, Patrick Bordes, Benjamin Piwowarski, Laure Soulier, Patrick Gallinari:
Context-Aware Zero-Shot Learning for Object Recognition. CoRR abs/1904.12638 (2019) - [i18]Karan Aggarwal, Matthieu Kirchmeyer, Pranjul Yadav, S. Sathiya Keerthi, Patrick Gallinari:
Regression with Conditional GAN. CoRR abs/1905.12868 (2019) - [i17]Emmanuel de Bézenac, Ibrahim Ayed, Patrick Gallinari:
Optimal Unsupervised Domain Translation. CoRR abs/1906.01292 (2019) - [i16]Clément Rebuffel, Laure Soulier, Geoffrey Scoutheeten, Patrick Gallinari:
A Hierarchical Model for Data-to-Text Generation. CoRR abs/1912.10011 (2019) - [i15]Arthur Pajot, Emmanuel de Bézenac, Patrick Gallinari:
Unsupervised Adversarial Image Inpainting. CoRR abs/1912.12164 (2019) - 2018
- [j61]Alejandro Lopez Rincon
, Alberto Paolo Tonda
, Mohamed Elati
, Olivier Schwander, Benjamin Piwowarski, Patrick Gallinari:
Evolutionary optimization of convolutional neural networks for cancer miRNA biomarkers classification. Appl. Soft Comput. 65: 91-100 (2018) - [j60]Simon Bourigault, Sylvain Lamprier, Patrick Gallinari:
Détection de sources de diffusion par apprentissage de représentations distribuées. Document Numérique 21(3): 11-31 (2018) - [j59]Lin Qiu, Sheng Gao, Qinjie Lyu, Jun Guo, Patrick Gallinari:
A novel non-Gaussian embedding based model for recommender systems. Neurocomputing 278: 144-152 (2018) - [j58]Emeric Tonnelier, Nicolas Baskiotis
, Vincent Guigue, Patrick Gallinari:
Anomaly detection in smart card logs and distant evaluation with Twitter: a robust framework. Neurocomputing 298: 109-121 (2018) - [j57]Sylvain Lamprier, Thibault Gisselbrecht, Patrick Gallinari:
Profile-Based Bandit with Unknown Profiles. J. Mach. Learn. Res. 19: 53:1-53:40 (2018) - [j56]Wenjie Zheng
, Aurélien Bellet, Patrick Gallinari:
A distributed Frank-Wolfe framework for learning low-rank matrices with the trace norm. Mach. Learn. 107(8-10): 1457-1475 (2018) - [j55]Ludovic Dos Santos, Benjamin Piwowarski, Ludovic Denoyer, Patrick Gallinari:
Representation Learning for Classification in Heterogeneous Graphs with Application to Social Networks. ACM Trans. Knowl. Discov. Data 12(5): 62:1-62:33 (2018) - [c215]Eloi Zablocki, Benjamin Piwowarski, Laure Soulier, Patrick Gallinari:
Learning Multi-Modal Word Representation Grounded in Visual Context. AAAI 2018: 5626-5633 - [c214]Charles-Emmanuel Dias, Clara Gainon de Forsan de Gabriac, Vincent Guigue, Patrick Gallinari:
RNN et modèle d'attention pour l'apprentissage de profils textuels personnalisés. CORIA 2018 - [c213]Hadrien Titeux, Benjamin Piwowarski, Patrick Gallinari:
Représentations Gaussiennes pour le Filtrage Collaboratif. CORIA 2018 - [c212]Charles-Emmanuel Dias, Vincent Guigue, Patrick Gallinari:
Regularize and explicit collaborative filtering with textual attention. ESANN 2018 - [c211]Emmanuel de Bézenac, Arthur Pajot, Patrick Gallinari:
Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge. ICLR (Poster) 2018 - [c210]Saeed Varasteh Yazdi, Ahlame Douzal Chouakria, Patrick Gallinari, Manuel Moussallam:
Time Warp Invariant Dictionary Learning for Time Series Clustering: Application to Music Data Stream Analysis. ECML/PKDD (1) 2018: 356-372 - [c209]Charles-Emmanuel Dias, Clara Gainon de Forsan de Gabriac, Patrick Gallinari, Vincent Guigue:
DEFT 2018: Attention sélective pour classification de microblogs (DEFT 2018 : Selective Attention for Microblogging Classification ). CORIA-TALN-RJC (DeFT) 2018: 279-286 - [i14]Ali Ziat, Edouard Delasalles, Ludovic Denoyer, Patrick Gallinari:
Spatio-Temporal Neural Networks for Space-Time Series Forecasting and Relations Discovery. CoRR abs/1804.08562 (2018) - 2017
- [j54]Jianfei Zhang, Shengrui Wang, Lifei Chen, Patrick Gallinari:
Multiple Bayesian discriminant functions for high-dimensional massive data classification. Data Min. Knowl. Discov. 31(2): 465-501 (2017) - [j53]Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo:
A Novel Embedding Model for Relation Prediction in Recommendation Systems. IEICE Trans. Inf. Syst. 100-D(6): 1242-1250 (2017) - [j52]Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo:
Zero-Shot Embedding for Unseen Entities in Knowledge Graph. IEICE Trans. Inf. Syst. 100-D(7): 1440-1447 (2017) - [j51]Sheng Gao, Huacan Pang, Patrick Gallinari, Jun Guo, Nei Kato
:
A Novel Embedding Method for Information Diffusion Prediction in Social Network Big Data. IEEE Trans. Ind. Informatics 13(4): 2097-2105 (2017) - [c208]Eloi Zablocki, Patrick Bordes, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari:
LIP6@CLEF2017: Multi-Modal Spatial Role Labeling using Word Embeddings. CLEF (Working Notes) 2017 - [c207]Simon Bourigault, Sylvain Lamprier, Patrick Gallinari:
Apprentissage de représentation pour la détection de source dans les réseaux sociaux. CORIA 2017: 235-250 - [c206]Charles-Emmanuel Dias, Vincent Guigue, Patrick Gallinari:
Passé, présent, futurs : induction de carrières professionnelles à partir de CV. CORIA 2017: 281-296 - [c205]Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari:
Anomaly detection and characterization in smart card logs using NMF and Tweets. ESANN 2017 - [c204]Ali Ziat, Edouard Delasalles, Ludovic Denoyer, Patrick Gallinari:
Spatio-Temporal Neural Networks for Space-Time Series Forecasting and Relations Discovery. ICDM 2017: 705-714 - [c203]Sylvain Lamprier, Thibault Gisselbrecht, Patrick Gallinari:
Variational Thompson Sampling for Relational Recurrent Bandits. ECML/PKDD (2) 2017: 405-421 - [c202]Ludovic Dos Santos, Benjamin Piwowarski, Patrick Gallinari:
Gaussian Embeddings for Collaborative Filtering. SIGIR 2017: 1065-1068 - [i13]Eloi Zablocki, Benjamin Piwowarski, Laure Soulier, Patrick Gallinari:
Learning Multi-Modal Word Representation Grounded in Visual Context. CoRR abs/1711.03483 (2017) - [i12]Emmanuel de Bézenac, Arthur Pajot, Patrick Gallinari:
Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge. CoRR abs/1711.07970 (2017) - [i11]Wenjie Zheng, Aurélien Bellet, Patrick Gallinari:
A Distributed Frank-Wolfe Framework for Learning Low-Rank Matrices with the Trace Norm. CoRR abs/1712.07495 (2017) - 2016
- [j50]Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo:
A Novel Multimodal Deep Neural Network Framework for Extending Knowledge Base. Computación y Sistemas 20(3): 459-466 (2016) - [j49]Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari:
Collecte ciblée à partir de flux de données en ligne dans les médias sociaux. Une approche de bandit contextuel. Document Numérique 19(2-3): 11-30 (2016) - [j48]Simon Bourigault, Sylvain Lamprier, Patrick Gallinari:
Apprentissage de représentations pour la modélisation de processus de diffusion dans les réseaux sociaux. Document Numérique 19(2-3): 31-52 (2016) - [j47]Luca Rubini, Rossella Cancelliere, Patrick Gallinari, Andrea Grosso:
Local search and pseudoinversion: an hybrid approach to neural network training. Knowl. Inf. Syst. 48(2): 493-503 (2016) - [j46]Sylvain Lamprier, Simon Bourigault, Patrick Gallinari:
Influence learning for cascade diffusion models: focus on partial orders of infections. Soc. Netw. Anal. Min. 6(1): 93:1-93:16 (2016) - [c201]Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari:
Bandit contextuel pour la capture de données temps réel sur les médias sociaux. CORIA-CIFED 2016: 57-72 - [c200]Charles-Emmanuel Dias, Vincent Guigue, Patrick Gallinari:
Recommandation et analyse de sentiments dans un espace latent textuel. CORIA-CIFED 2016: 73-88 - [c199]Simon Bourigault, Sylvain Lamprier, Patrick Gallinari:
Apprentissage de représentations probabilistes pour la prédiction de diffusions d'informations sur les réseaux sociaux. CORIA-CIFED 2016: 89-104 - [c198]Zeljko Kraljevic, Nicolas Baskiotis, Benjamin Piwowarski, Patrick Gallinari:
Représentation temporelle des mots : application au clustering de micro-blogs. CORIA-CIFED 2016: 531-544 - [c197]Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari:
Dynamic Data Capture from Social Media Streams: A Contextual Bandit Approach. ICWSM 2016: 131-140 - [c196]Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari:
Smart card in public transportation: Designing a analysis system at the human scale. ITSC 2016: 1336-1341 - [c195]Simon Bourigault, Sylvain Lamprier, Patrick Gallinari:
Learning Distributed Representations of Users for Source Detection in Online Social Networks. ECML/PKDD (2) 2016: 265-281 - [c194]Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari:
Linear Bandits in Unknown Environments. ECML/PKDD (2) 2016: 282-298 - [c193]Ludovic Dos Santos, Benjamin Piwowarski, Patrick Gallinari:
Multilabel Classification on Heterogeneous Graphs with Gaussian Embeddings. ECML/PKDD (2) 2016: 606-622 - [c192]Simon Bourigault, Sylvain Lamprier, Patrick Gallinari:
Representation Learning for Information Diffusion through Social Networks: an Embedded Cascade Model. WSDM 2016: 573-582 - 2015
- [j45]George Tsatsaronis
, Georgios Balikas, Prodromos Malakasiotis, Ioannis Partalas, Matthias Zschunke, Michael R. Alvers, Dirk Weissenborn, Anastasia Krithara
, Sergios Petridis
, Dimitris Polychronopoulos
, Yannis Almirantis, John Pavlopoulos, Nicolas Baskiotis, Patrick Gallinari, Thierry Artières
, Axel-Cyrille Ngonga Ngomo, Norman Heino, Éric Gaussier, Liliana Barrio-Alvers, Michael Schroeder, Ion Androutsopoulos, Georgios Paliouras:
An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition. BMC Bioinform. 16: 138:1-138:28 (2015) - [j44]Yu Zhao, Sheng Gao, Patrick Gallinari, Jun Guo:
Knowledge base completion by learning pairwise-interaction differentiated embeddings. Data Min. Knowl. Discov. 29(5): 1486-1504 (2015) - [j43]Thibault Gisselbrecht, Ludovic Denoyer, Patrick Gallinari, Sylvain Lamprier:
Apprentissage en temps réel pour la collecte d'information dans les réseaux sociaux. Document Numérique 18(2-3): 39-58 (2015) - [j42]Rossella Cancelliere, Mario Gai, Patrick Gallinari, Luca Rubini:
OCReP: An Optimally Conditioned Regularization for pseudoinversion based neural training. Neural Networks 71: 76-87 (2015) - [c191]Sylvain Lamprier, Simon Bourigault, Patrick Gallinari:
Extracting Diffusion Channels from Real-World Social Data: a Delay-Agnostic Learning of Transmission Probabilities. ASONAM 2015: 178-185 - [c190]Luc-Aurélien Gauthier, Benjamin Piwowarski, Patrick Gallinari:
Leveraging Rating Behavior to Predict Negative Social Ties. ASONAM 2015: 623-628 - [c189]Ludovic Dos Santos, Benjamin Piwowarski, Patrick Gallinari:
Graph Based Method Approach to the ImageCLEF2015 Task1 - Image Annotation. CLEF (Working Notes) 2015 - [c188]Thibault Gisselbrecht, Ludovic Denoyer, Patrick Gallinari, Sylvain Lamprier:
Apprentissage en temps réel pour la collecte d'information dans les réseaux sociaux. CORIA 2015: 7-22 - [c187]Mickaël Poussevin, Vincent Guigue, Patrick Gallinari:
Extraction d'un vocabulaire de surprise par mélange de filtrage collaboratif et d'analyse de sentiments. CORIA 2015: 123-138 - [c186]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: 139-154 - [c185]Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari:
Policies for Contextual Bandit Problems with Count Payoffs. ICTAI 2015: 542-549 - [c184]Thibault Gisselbrecht, Ludovic Denoyer, Patrick Gallinari, Sylvain Lamprier:
WhichStreams: A Dynamic Approach for Focused Data Capture from Large Social Media. ICWSM 2015: 130-139 - [c183]Mickaël Poussevin, Vincent Guigue, Patrick Gallinari:
Extended Recommendation Framework: Generating the Text of a User Review as a Personalized Summary. CBRecSys@RecSys 2015: 34-41 - [c182]Élie Guàrdia-Sebaoun, Vincent Guigue, Patrick Gallinari:
Latent Trajectory Modeling: A Light and Efficient Way to Introduce Time in Recommender Systems. RecSys 2015: 281-284 - [i10]Ioannis Partalas, Aris Kosmopoulos, Nicolas Baskiotis, Thierry Artières, George Paliouras, Éric Gaussier, Ion Androutsopoulos, Massih-Reza Amini, Patrick Gallinari:
LSHTC: A Benchmark for Large-Scale Text Classification. CoRR abs/1503.08581 (2015) - [i9]Rossella Cancelliere, R. Deluca, Mario Gai, Patrick Gallinari, Luca Rubini:
An analysis of numerical issues in neural training by pseudoinversion. CoRR abs/1508.06092 (2015) - [i8]Rossella Cancelliere, Mario Gai, Patrick Gallinari, Luca Rubini:
OCReP: An Optimally Conditioned Regularization for Pseudoinversion Based Neural Training. CoRR abs/1508.06095 (2015) - 2014
- [c181]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: 236-245 - [c180]Maria Laura Maag, Ludovic Denoyer, Patrick Gallinari:
Graph Anonymization Using Machine Learning. AINA 2014: 1111-1118 - [c179]Luc-Aurélien Gauthier, Benjamin Piwowarski, Patrick Gallinari:
Filtrage collaboratif et intégration de la polarité des jugements. CORIA-CIFED 2014: 11-26 - [c178]Mickaël Poussevin, Élie Guàrdia-Sebaoun, Vincent Guigue, Patrick Gallinari:
Recommandation par combinaison de filtrage collaboratif et d'analyse de sentiments. CORIA-CIFED 2014: 27-42 - [c177]Simon Bourigault, Cédric Lagnier, Sylvain Lamprier, Ludovic Denoyer, Patrick Gallinari:
Apprentissage de représentation pour la diffusion d'Information dans les réseaux sociaux. CORIA-CIFED 2014: 155-170 - [c176]Mickaël Poussevin, Emeric Tonnelier, Nicolas Baskiotis, Vincent Guigue, Patrick Gallinari:
Mining Ticketing Logs for Usage Characterization with Nonnegative Matrix Factorization. MSM/MUSE/SenseML 2014: 147-164 - [c175]Debora Nozza
, Daniele Maccagnola, Vincent Guigue, Enza Messina
, Patrick Gallinari:
A Latent Representation Model for Sentiment Analysis in Heterogeneous Social Networks. SEFM Workshops 2014: 201-213 - [c174]Yann Jacob, Ludovic Denoyer, Patrick Gallinari:
Learning latent representations of nodes for classifying in heterogeneous social networks. WSDM 2014: 373-382 - [c173]Simon Bourigault, Cédric Lagnier, Sylvain Lamprier, Ludovic Denoyer, Patrick Gallinari:
Learning social network embeddings for predicting information diffusion. WSDM 2014: 393-402 - [c172]Ioannis Partalas, Massih-Reza Amini, Ion Androutsopoulos, Thierry Artières
, Patrick Gallinari, Éric Gaussier, Georgios Paliouras:
Web-scale classification: web classification in the big data era. WSDM 2014: 687-688 - [c171]Gabriella Contardo, Ludovic Denoyer, Thierry Artières, Patrick Gallinari:
Learning States Representations in POMDP. ICLR (Workshop Poster) 2014 - [c170]Gabriel Dulac-Arnold, Ludovic Denoyer, Nicolas Thome, Matthieu Cord, Patrick Gallinari:
Sequentially Generated Instance-Dependent Image Representations for Classification. ICLR 2014 - [c169]Cédric Lagnier, Simon Bourigault, Sylvain Lamprier, Ludovic Denoyer, Patrick Gallinari:
Learning Information Spread in Content Networks. ICLR (Workshop Poster) 2014 - [i7]Ludovic Denoyer, Patrick Gallinari:
Deep Sequential Neural Network. CoRR abs/1410.0510 (2014) - [i6]Mickaël Poussevin, Vincent Guigue, Patrick Gallinari:
Extended Recommendation Framework: Generating the Text of a User Review as a Personalized Summary. CoRR abs/1412.5448 (2014) - 2013
- [j41]Stefania Rubrichi, Silvana Quaglini, Alex Spengler, Paola Russo, Patrick Gallinari:
A system for the extraction and representation of summary of product characteristics content. Artif. Intell. Medicine 57(2): 145-154 (2013) - [j40]Clément Calauzènes, Nicolas Usunier, Patrick Gallinari:
Calibration and regret bounds for order-preserving surrogate losses in learning to rank. Mach. Learn. 93(2-3): 227-260 (2013) - [j39]Sheng Gao, Hao Luo, Da Chen, Shantao Li, Patrick Gallinari, Zhanyu Ma, Jun Guo:
A Cross-Domain Recommendation Model for Cyber-Physical Systems. IEEE Trans. Emerg. Top. Comput. 1(2): 384-393 (2013) - [c168]Ricardo Lage, Ludovic Denoyer, Patrick Gallinari, Peter Dolog
:
Choosing which message to publish on social networks: a contextual bandit approach. ASONAM 2013: 620-627 - [c167]Yann Jacob, Ludovic Denoyer, Patrick Gallinari:
Classification dans les graphes hétérogènes basée sur une représentation latente des noeuds. CORIA 2013: 85-100 - [c166]Abdelhalim Rafrafi, Vincent Guigue, Patrick Gallinari:
Classification de Sentiments Multi-Domaines et Passage à l'Echelle. CORIA 2013: 117-124 - [c165]Cédric Lagnier, Ludovic Denoyer, Éric Gaussier, Patrick Gallinari:
Predicting Information Diffusion in Social Networks Using Content and User's Profiles. ECIR 2013: 74-85 - [c164]Sheng Gao, Ludovic Denoyer, Patrick Gallinari, Jun Guo:
Latent Factor BlockModel for Modelling Relational Data. ECIR 2013: 447-458 - [c163]Ali Fakeri-Tabrizi, Massih-Reza Amini, Patrick Gallinari:
Multiview semi-supervised ranking for automatic image annotation. ACM Multimedia 2013: 513-516