Patrick Gallinari

发表

Multilabel Classification on Heterogeneous Graphs with Gaussian Embeddings

Ludovic Dos Santos, Benjamin Piwowarski, Patrick Gallinari, 2016, ECML/PKDD.

An extension of PLSA for document clustering

Massih-Reza Amini, Young-Min Kim, Patrick Gallinari, 2008, CIKM '08.

A discriminative neural prediction system for speech recognition

Abdelhamid Mellouk, Patrick Gallinari, 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Identification of Atrophy Patterns in Alzheimer's Disease Based on SVM Feature Selection and Anatomical Parcellation

Patrick Gallinari, Habib Benali, Olivier Colliot, 2008, MIAR.

Preventing adverse drug events by extracting information from drug fact sheets

Patrick Gallinari, Silvana Quaglini, Stefania Rubrichi, 2010, Semantic Mining in Biomedicine.

Web-scale classification: web classification in the big data era

Georgios Paliouras, Ioannis Partalas, Massih-Reza Amini, 2014, WSDM.

Apprentissage de représentation pour la diffusion d'Information dans les réseaux sociaux

Ludovic Denoyer, Sylvain Lamprier, Patrick Gallinari, 2014, CORIA-CIFED.

Experimental Evaluation of the Value of Structure: How to Efficiently Exploit Interdependencies in Sequence Labeling

Patrick Gallinari, Guillaume Wisniewski, 2008, 2008 Eighth IEEE International Conference on Data Mining.

BioASQ: A Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering

Axel-Cyrille Ngonga Ngomo, Patrick Gallinari, Éric Gaussier, 2012, AAAI Fall Symposium: Information Retrieval and Knowledge Discovery in Biomedical Text.

De l'utilisation d'OBD pour la sélection de variables dans les perceptrons multicouches

Patrick Gallinari, Philippe Leray, 2001, Rev. d'Intelligence Artif..

Sentence recognition through hybrid neuro-Markovian modeling

Bernadette Dorizzi, Patrick Gallinari, Thierry Artières, 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

Report on the XML Mining Track at INEX 2005 and INEX 2006

Ludovic Denoyer, Patrick Gallinari, Anne-Marie Vercoustre, 2006, INEX.

Integrating heuristic preferences into a neural understanding system

Patrick Gallinari, Adelaide Stevenur, 1995, EUROSPEECH.

An Algebra for Structured Queries in Bayesian Networks

Benjamin Piwowarski, Patrick Gallinari, Jean-Noël Vittaut, 2004, INEX.

Relaxation Labeling for Selecting and Exploiting Efficiently Non-local Dependencies in Sequence Labeling

Patrick Gallinari, Guillaume Wisniewski, 2007, PKDD.

Recommandation et analyse de sentiments dans un espace latent textuel

Patrick Gallinari, Vincent Guigue, Charles-Emmanuel Dias, 2016, CORIA-CIFED.

A novel non-Gaussian embedding based model for recommender systems

Jun Guo, Lin Qiu, Patrick Gallinari, 2018, Neurocomputing.

Apprentissage d'un espace de concepts de mots pour une nouvelle représentation des données textuelles

Massih-Reza Amini, Young-Min Kim, Patrick Gallinari, 2010, Document Numérique.

Text-Dependent Speaker Identification Using Learning Vector Quantization

Younès Bennani, Patrick Gallinari, Françoise Fogelman Soulie, 1990 .

DEFT 2018: Attention sélective pour classification de microblogs (DEFT 2018 : Selective Attention for Microblogging Classification )

Patrick Gallinari, Vincent Guigue, Charles-Emmanuel Dias, 2018, CORIA-TALN-RJC.

A Latent Representation Model for Sentiment Analysis in Heterogeneous Social Networks

Patrick Gallinari, Vincent Guigue, Debora Nozza, 2014, SEFM Workshops.

Sequential approaches for learning datum-wise sparse representations

Patrick Gallinari, Gabriel Dulac-Arnold, Philippe Preux, 2012, Machine Learning.

Sequence Labeling with Reinforcement Learning and Ranking Algorithms

Ludovic Denoyer, Patrick Gallinari, Francis Maes, 2007, ECML.

Multi-state predictive neural networks for text-independent speaker recognition

Patrick Gallinari, Thierry Artières, 1995, EUROSPEECH.

Diagnosis Tools for Telecommunication Network Traffic Management

Patrick Gallinari, Philippe Leray, Elisabeth Didelet, 1996, ICANN.

Learning Compact Class Codes for Fast Inference in Large Multi Class Classification

Moustapha Cissé, Patrick Gallinari, Thierry Artières, 2012, ECML/PKDD.

Consortium AVEIR at ImageCLEFphoto 2008: on the Fusion of Runs

Hichem Sahbi, Philippe Mulhem, Massih-Reza Amini, 2008, CLEF.

Pénalisation des mots fréquents pour la classification de sentiments

Patrick Gallinari, Vincent Guigue, Abdelhalim Rafrafi, 2011, LCN 2011.

Filtrage collaboratif et intégration de la polarité des jugements

Benjamin Piwowarski, Patrick Gallinari, Luc-Aurélien Gauthier, 2014, CORIA-CIFED.

Apprentissage de représentations pour la modélisation de processus de diffusion dans les réseaux sociaux

Sylvain Lamprier, Patrick Gallinari, Simon Bourigault, 2016, Document Numérique.

Learning Dynamical Systems from Partial Observations pdf

Patrick Gallinari, Emmanuel de Bézenac, Julien Brajard, 2019, ArXiv.

A Machine Learning based Approach to Evaluating Retrieval Systems

Patrick Gallinari, Huyen-Trang Vu, P. Gallinari, 2006, NAACL.

Self supervised learning for automatic text summarization by text span extraction

Massih-Reza Amini, Patrick Gallinari, 2001 .

From Layout to Semantic: a Reranking Model for Mapping Web Documents to Mediated XML Representations

Patrick Gallinari, Guillaume Wisniewski, 2007, RIAO.

Variational Thompson Sampling for Relational Recurrent Bandits

Sylvain Lamprier, Patrick Gallinari, Thibault Gisselbrecht, 2017, ECML/PKDD.

Structured prediction with reinforcement learning

Ludovic Denoyer, Patrick Gallinari, Francis Maes, 2009, Machine Learning.

Spatio-Temporal Neural Networks for Space-Time Series Forecasting and Relations Discovery

Ludovic Denoyer, Patrick Gallinari, Edouard Delasalles, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

Document structure meets page layout: loopy random fields for web news content extraction

Patrick Gallinari, Alex Spengler, 2010, DocEng '10.

Apprentissage statistique pour la constitution des corpus d'évaluation

Patrick Gallinari, Huyen-Trang Vu, P. Gallinari, 2006, CORIA.

Choosing which message to publish on social networks: A contextual bandit approach

Peter Dolog, Ludovic Denoyer, Patrick Gallinari, 2013, 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013).

Stroke level HMMs for on-line handwriting recognition

Patrick Gallinari, Thierry Artières, 2002, Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition.

Comparison of Various AVEIR Visual Concept Detectors with an Index of Carefulness

Hichem Sahbi, Philippe Mulhem, Marin Ferecatu, 2009, CLEF.

Restructuration automatique de documents dans les corpus semi-structurés hétérogènes

Ludovic Denoyer, Patrick Gallinari, Guillaume Wisniewski, 2005, EGC.

FEATURE SELECTION WITH NEURAL NETWORKS

Patrick Gallinari, Philippe Leray, P. Gallinari, 1999 .

Time Warp Invariant Dictionary Learning for Time Series Clustering: Application to Music Data Stream Analysis

Patrick Gallinari, Saeed Varasteh Yazdi, Manuel Moussallam, 2018, ECML/PKDD.

Unsupervised Adversarial Image Reconstruction

Patrick Gallinari, Emmanuel de Bézenac, Arthur Pajot, 2018, ICLR.

Apprentissage de conversion de documents semi-structurés à partir d'exemples

Ludovic Denoyer, Patrick Gallinari, Francis Maes, 2008, CORIA.

Transfert entre campagnes de Real-Time Bidding

Patrick Gallinari, Charles Monzani, Martial Hue, 2020, European Grid Conference.

The Wikipedia XML Corpus

Ludovic Denoyer, Patrick Gallinari, 2006, INEX.

WhichStreams: A Dynamic Approach for Focused Data Capture from Large Social Media

Ludovic Denoyer, Sylvain Lamprier, Patrick Gallinari, 2015, ICWSM.

Un modèle de mixture de modèles génératifs pour les documents structurés multimédias. Application à la classification de documents XML et HTML

Ludovic Denoyer, Patrick Gallinari, 2004, Document Numérique.

Report on INEX 2008

Andrew Trotman, Gabriella Kazai, Ludovic Denoyer, 2009, SIGF.

Neural Network Tools for Alarm Generation in the Telephone Network Traffic Management

Patrick Gallinari, Philippe Leray, Elisabeth Didelet, 1997 .

A flexible recognition engine for complex on-line handwritten character recognition

Patrick Gallinari, Thierry Artières, Sanparith Marukatat, 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

Conceptual Clustering Using a Connectionist Approach

Patrick Gallinari, Adélaïde Stévenin, 1993 .

Un modèle multimodal d'apprentissage de représentations de phrases qui préserve la sémantique visuelle

Laure Soulier, Benjamin Piwowarski, Patrick Gallinari, 2019, CORIA.

A Comparative Study of Diversity Methods for Hybrid Text and Image Retrieval Approaches

Hervé Glotin, Hichem Sahbi, Philippe Mulhem, 2008, CLEF.

Expected Ratio of Relevant Units: A Measure for Structured Information Retrieval

Benjamin Piwowarski, Patrick Gallinari, P. Gallinari, 2008 .

PROCEEDINGS OF THE GRAPH LABELLING WORKSHOP AND WEB SPAM CHALLENGE

Brian D. Davison, Ludovic Denoyer, Patrick Gallinari, 2007 .

Apprentissage de représentation pour la détection de source dans les réseaux sociaux

Sylvain Lamprier, Patrick Gallinari, Simon Bourigault, 2017, CORIA.

Dynamic Data Capture from Social Media Streams: A Contextual Bandit Approach

Sylvain Lamprier, Patrick Gallinari, Thibault Gisselbrecht, 2016, ICWSM.

Neural models for extracting speaker characteristics in speech modelization systems

Patrick Gallinari, Thierry Artières, P. Gallinari, 1993, EUROSPEECH.

A Learning to Rank framework applied to text-image retrieval

Patrick Gallinari, Sabrina Tollari, David Buffoni, 2011, Multimedia Tools and Applications.

A distributed Frank–Wolfe framework for learning low-rank matrices with the trace norm

Patrick Gallinari, Aurélien Bellet, Wenjie Zheng, 2018, Machine Learning.

Learning vector quantization, multi layer perceptron and dynamic programming: comparison and cooperation

Patrick Gallinari, L. Bottou, Xavier Driancourt, 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

Sequentially Generated Instance-Dependent Image Representations for Classification pdf

Matthieu Cord, Ludovic Denoyer, Nicolas Thome, 2014, ICLR.

Predicting information diffusion on social networks with partial knowledge

Ludovic Denoyer, Patrick Gallinari, Anis Najar, 2012, WWW.

Pseudoinversion for neural training: tuning the regularisation parameter

Patrick Gallinari, Thierry Artières, Mario Gai, 2013 .

Learning for Sequence Extraction Tasks

Massih-Reza Amini, Patrick Gallinari, Hugo Zaragoza, 2000, RIAO.

Predictive Models for Sequence Modelling, Application to Speech and Character Recognition

Patrick Gallinari, P. Gallinari, 1997, Summer School on Neural Networks.

Variable selection with neural networks

Patrick Gallinari, Sarunas Raudys, Françoise Fogelman-Soulié, 1996, Neurocomputing.

Learning to Rank with Partially Labeled Training Data

Patrick Gallinari, Massih-Reza Amini, Tuong Vinh Truong, 2006 .

Rejection measures for handwriting sentence recognition

Bernadette Dorizzi, Patrick Gallinari, Thierry Artières, 2002, Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition.

Report on the XML mining track at INEX 2005 and INEX 2006: categorization and clustering of XML documents

Ludovic Denoyer, Patrick Gallinari, P. Gallinari, 2007, SIGF.

Temporal link prediction by integrating content and structure information

Ludovic Denoyer, Patrick Gallinari, Sheng Gao, 2011, CIKM '11.

Complexity Control and Generalization in Multilayer Perceptrons

Patrick Gallinari, Tautvydas Cibas, P. Gallinari, 1998 .

Coupled Hierarchical IR and Stochastic Models for Surface Information Extraction

Patrick Gallinari, Hugo Zaragoza, P. Gallinari, 1998, BCS-IRSG Annual Colloquium on IR Research.

Industrial Applications of Neural Networks

Patrick Gallinari, Françoise Fogelman Soulie, P. Gallinari, 2000 .

Multi-view clustering of multilingual documents

Massih-Reza Amini, Young-Min Kim, Patrick Gallinari, 2010, SIGIR.

Learning Multi-Modal Word Representation Grounded in Visual Context pdf

Laure Soulier, Benjamin Piwowarski, Patrick Gallinari, 2017, AAAI.

From Character to Sentences: A Hybrid Neuro-Markovian System for On-Line Handwriting Recognition

Patrick Gallinari, Thierry Artières, Sanparith Marukatat, 2002 .

Generalization error bounds for classifiers trained with interdependent data

Massih-Reza Amini, Patrick Gallinari, Nicolas Usunier, 2005, NIPS.

Optimal Unsupervised Domain Translation pdf

Patrick Gallinari, Emmanuel de Bézenac, Ibrahim Ayed, 2019, ArXiv.

Optimal Linear Regression on Classifier Outputs

Patrick Gallinari, Yann Guermeur, Florence d'Alché-Buc, 1997, ICANN.

Recommandation par combinaison de filtrage collaboratif et d'analyse de sentiments

Patrick Gallinari, Vincent Guigue, Mickaël Poussevin, 2014, CORIA-CIFED.

Ranking with Unlabeled Data: A First Study

Massih-Reza Amini, Patrick Gallinari, Nicolas Usunier, 2005 .

Apprentissage en temps réel pour la collecte d'information dans les réseaux sociaux

Sylvain Lamprier, Patrick Gallinari, Ludovic Denoyer, 2015, Document Numérique.

Exploiting Visual Concepts to Improve Text-Based Image Retrieval

Massih-Reza Amini, Christophe Marsala, Patrick Gallinari, 2009, ECIR.

A Bayesian Framework for XML Information Retrieval: Searching and Learning with the INEX Collection

Benjamin Piwowarski, Patrick Gallinari, P. Gallinari, 2005, Information Retrieval.

Apprentissage d'une hiérarchie de concepts pour la conception de modèles de domaine d'hypermédias

Patrick Gallinari, Thierry Artières, Julien Blanchard, 2005, EGC.

Adaptive discrimination in an HMM-based neural predictive system for on-line word recognition

Bernadette Dorizzi, Sonia Garcia-Salicetti, Patrick Gallinari, 1996, Proceedings of 13th International Conference on Pattern Recognition.

Zero-Shot Embedding for Unseen Entities in Knowledge Graph

Yu Zhao, Jun Guo, Patrick Gallinari, 2017, IEICE Trans. Inf. Syst..

Mining Ticketing Logs for Usage Characterization with Nonnegative Matrix Factorization

Patrick Gallinari, Vincent Guigue, Nicolas Baskiotis, 2014, MSM/MUSE/SenseML.

Modèle probabiliste pour l'extraction de structures dans les documents semistructurés - Application aux documents Web

Ludovic Denoyer, Patrick Gallinari, Guillaume Wisniewski, 2006, CORIA.

Exploitation du contenu visuel pour améliorer la recherche textuelle d'images en ligne

Massih-Reza Amini, Christophe Marsala, Patrick Gallinari, 2010, Document Numérique.

Statistical machine learning for tracking hypermedia user behaviour

Patrick Gallinari, Thierry Artières, Frédéric Piat, 2003 .

A generic approach for on-line handwriting recognition

Patrick Gallinari, Thierry Artières, Sanparith Marukatat, 2004, Ninth International Workshop on Frontiers in Handwriting Recognition.

A self-training method for learning to rank with unlabeled data

Massih-Reza Amini, Patrick Gallinari, Tuong-Vinh Truong, 2009, ESANN.

Automatic Text Summarization Using Unsupervised and Semi-supervised Learning

Massih-Reza Amini, Patrick Gallinari, P. Gallinari, 2001, PKDD.

Classifieur probabiliste avec Support Vector Machine (SVMs) et Okapi

Patrick Gallinari, David Buffoni, Anh Phuc Trinh, 2008 .

Report on the XML mining track at INEX 2007 categorization and clustering of XML documents

Ludovic Denoyer, Patrick Gallinari, 2008, SIGF.

Une méthode contextuelle d'extension de requête avec des groupements de mots pour le résumé automatique

Massih-Reza Amini, Young-Min Kim, Patrick Gallinari, 2008, CORIA.

Data driven design of an ANN/HMM system for on-line unconstrained handwritten character recognition

Haifeng Li, Patrick Gallinari, Thierry Artières, 2002, Proceedings. Fourth IEEE International Conference on Multimodal Interfaces.

OCReP: An Optimally Conditioned Regularization for pseudoinversion based neural training

Mario Gai, Patrick Gallinari, Rossella Cancelliere, 2015, Neural Networks.

Calibration and regret bounds for order-preserving surrogate losses in learning to rank

Patrick Gallinari, Nicolas Usunier, Clément Calauzènes, 2013, Machine Learning.

Dictionary preselection in a neuro-Markovian word recognition system

Bernadette Dorizzi, Patrick Gallinari, Zsolt Wimmer, 1999, Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318).

Cross-media sentiment classification and application to box-office forecasting

Patrick Gallinari, Vincent Guigue, Abdelhalim Rafrafi, 2013, OAIR.

UPMC/LIP6 at ImageCLEFannotation 2010

Massih-Reza Amini, Patrick Gallinari, Nicolas Usunier, 2010, CLEF.

A Novel Multimodal Deep Neural Network Framework for Extending Knowledge Base

Yu Zhao, Jun Guo, Patrick Gallinari, 2016, Computación y Sistemas.

Coping with the Document Frequency Bias in Sentiment Classification

Patrick Gallinari, Vincent Guigue, Abdelhalim Rafrafi, 2012, ICWSM.

Reduced Basis’ Acquisition by a Learning Process for Rapid On-line Approximation of Solution to PDE’s: Laminar Flow Past a Backstep

Patrick Gallinari, Yvon Maday, Maxime Sangnier, 2017 .

Multi-Module Neural Networks for Classification

Sylvie Thiria, Patrick Gallinari, M. de Bollivier, 1990 .

Efficient Data Clustering by Local Density Approximation

Patrick Gallinari, Marc-Ismaël Akodjènou-Jeannin, P. Gallinari, 2008, ECAI.

Un modèle statistique pour la classification de documents structurés

Ludovic Denoyer, Patrick Gallinari, Huyen-Trang Vu, 2003, EGC.

Machine Learning Ranking and INEX'05

Patrick Gallinari, Jean-Noël Vittaut, 2005, INEX.

Apprentissage de Relations entre Concepts - Génération Automatique d'une Structuration Hiérarchique à partir de Corpus

Patrick Gallinari, Hermine Njike Fotzo, 2004, CORIA.

Learning to Extract Content from News Webpages

Patrick Gallinari, Alex Spengler, P. Gallinari, 2009, 2009 International Conference on Advanced Information Networking and Applications Workshops.

Corpus-Based Structure Mapping of XML Document Corpora: A Reinforcement Learning Based Model

Ludovic Denoyer, Patrick Gallinari, Francis Maes, 2012, Modeling, Learning, and Processing of Text Technological Data Structures.

Learning Partially Observed PDE Dynamics with Neural Networks

Patrick Gallinari, Emmanuel de Bézenac, Ibrahim Ayed, 2018 .

Comparing neural networks and data analysis

Sylvie Thiria, Patrick Gallinari, Françoise Fogelman-Soulié, 1988, Neural Networks.

A Neural Network Modular Architecture for Network Traffic Management

Patrick Gallinari, Philippe Leray, Elisabeth Didelet, 1996 .

Polarité des jugements et des interactions pour le filtrage collaboratif et la prédiction de liens sociaux

Benjamin Piwowarski, Patrick Gallinari, Luc-Aurélien Gauthier, 2015, CORIA.

Résumé automatique de texte avec un algorithme d'ordonnancement

Massih-Reza Amini, Patrick Gallinari, Nicolas Usunier, 2005, CORIA.

Factorisation en matrices non négatives pour le filtrage collaboratif

Massih-Reza Amini, Patrick Gallinari, Nicolas Usunier, 2006, CORIA.

Deep neural networks training: perspectives of investigation

Alessio Antonini, Patrick Gallinari, Thierry Artières, 2012 .

Contextual bandits with hidden contexts: a focused data capture from social media streams

Sylvain Lamprier, Patrick Gallinari, Thibault Gisselbrecht, 2019, Data Mining and Knowledge Discovery.

Fast Reinforcement Learning with Large Action Sets Using Error-Correcting Output Codes for MDP Factorization

Patrick Gallinari, Gabriel Dulac-Arnold, Philippe Preux, 2012, ECML/PKDD.

Learning social network embeddings for predicting information diffusion

Ludovic Denoyer, Sylvain Lamprier, Patrick Gallinari, 2014, WSDM.

Probabilistic Model for Structured Document Mapping

Ludovic Denoyer, Patrick Gallinari, Guillaume Wisniewski, 2007, MLDM.

A Novel Embedding Model for Relation Prediction in Recommendation Systems

Yu Zhao, Jun Guo, Patrick Gallinari, 2017, IEICE Trans. Inf. Syst..

Profile-Based Bandit with Unknown Profiles

Sylvain Lamprier, Patrick Gallinari, Thibault Gisselbrecht, 2018, J. Mach. Learn. Res..

HMM-based passage models for document classification and ranking

Patrick Gallinari, Hugo Zaragoza, Ludovic Denoyer, 2001 .

Structured multimedia document classification

Ludovic Denoyer, Patrick Gallinari, Jean-Noël Vittaut, 2003, DocEng '03.

Computational Experience with Pseudoinversion-Based Training of Neural Networks Using Random Projection Matrices

Patrick Gallinari, Andrea Grosso, Rossella Cancelliere, 2014, AIMSA.

The Importance of the Depth for Text-Image Selection Strategy in Learning-To-Rank

Patrick Gallinari, Sabrina Tollari, David Buffoni, 2011, ECIR.

Data Fusion for Diagnosis in a Telecommunication Network

Patrick Gallinari, Philippe Leray, P. Gallinari, 1998 .

Learning for Text Summarization Using Labeled and Unlabeled Sentences

Massih-Reza Amini, Patrick Gallinari, 2001, ICANN.

A Belief Networks-Based Generative Model for Structured Documents. An Application to the XML Categorization

Ludovic Denoyer, Patrick Gallinari, P. Gallinari, 2003, MLDM.

Automatic Text Summarization Based on Word-Clusters and Ranking Algorithms

Massih-Reza Amini, Patrick Gallinari, Nicolas Usunier, 2005, ECIR.

Connectionist and conventional models for free-text talker identification tasks

Younès Bennani, Patrick Gallinari, Thierry Artières, 1991 .

Local diagnosis for real-time network traffic management

Patrick Gallinari, Philippe Leray, Elisabeth Didelet, 1997 .

A Framework for the Cooperation of Learning Algorithms

Patrick Gallinari, Léon Bottou, L. Bottou, 1990, NIPS.

Web spam challenge track ii

Brian D. Davison, Ludovic Denoyer, Patrick Gallinari, 2007 .

UPMC/LIP6 at ImageCLEF's WikipediaMM: An Image-Annotation Model for an Image Search-Engine

Massih-Reza Amini, Patrick Gallinari, Sabrina Tollari, 2008, CLEF.

Probabilistic Latent Tensor Factorization model for link pattern prediction

Ludovic Denoyer, Patrick Gallinari, Sheng Gao, 2012, 2012 3rd IEEE International Conference on Network Infrastructure and Digital Content.

Learning and associative memory

Patrick Gallinari, S. Thiria, F. Fogelman Soulie, 1987 .

Apprentissage de représentations probabilistes pour la prédiction de diffusions d'informations sur les réseaux sociaux

Sylvain Lamprier, Patrick Gallinari, Simon Bourigault, 2016, CORIA-CIFED.

Clustering en haute dimension par accumulation de clusterings locaux

Kavé Salamatian, Patrick Gallinari, Marc-Ismaël Akodjènou-Jeannin, 2008, EGC.

Comparing RBF and Fuzzy Inference Systems on theoretical and practical basis

Hugues Bersini, Patrick Gallinari, Gianluca Bontempi, 1995 .

A Cross-Domain Recommendation Model for Cyber-Physical Systems

Hao Luo, Jun Guo, Zhanyu Ma, 2013, IEEE Transactions on Emerging Topics in Computing.

Characterizing Sequences of User Actions for Access Logs Analysis

Patrick Gallinari, Thomas Draier, 2001, User Modeling.

The XML Wikipedia Corpus

Ludovic Denoyer, Patrick Gallinari, 2006 .

Apprentissage non-supervisé pour la segmentation automatique de textes

Massih-Reza Amini, Patrick Gallinari, Jean-François Pessiot, 2004, CORIA.

Multi-modal segmental models for online handwriting recognition

Bernadette Dorizzi, Patrick Gallinari, Thierry Artières, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Neural networks for discrimination and modelization of speakers

Younès Bennani, Patrick Gallinari, 1995, Speech Commun..

Combining Statistical Models for Protein Secondary Structure Prediction

Patrick Gallinari, Yann Guermeur, 1996, ICANN.

EVALUATION OF NETWORK ARCHITECTURES ON TEST LEARNING TASKS.

Patrick Gallinari, Y. Le Cun, Sylvie Thiria, 1987 .

Real-time detection of driver distraction: random projections for pseudo-inversion-based neural training

Marco Botta, Patrick Gallinari, Fabio Tango, 2019, Knowledge and Information Systems.

Learning Information Spread in Content Networks pdf

Ludovic Denoyer, Sylvain Lamprier, Patrick Gallinari, 2014, ICLR.

Classification and Tracking of Hypermedia Navigation Patterns

Patrick Gallinari, Thierry Artières, Frédéric Piat, 2003, ICANN.

Matrix Pseudoinversion for Image Neural Processing

Mario Gai, Patrick Gallinari, Thierry Artières, 2012, ICONIP.

An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition

Georgios Balikas, Ioannis Partalas, Axel-Cyrille Ngonga Ngomo, 2015, BMC Bioinformatics.

Multiple Bayesian discriminant functions for high-dimensional massive data classification

Shengrui Wang, Patrick Gallinari, Jianfei Zhang, 2016, Data Mining and Knowledge Discovery.

Extracting diffusion channels from real-world social data: A delay-agnostic learning of transmission probabilities

Sylvain Lamprier, Patrick Gallinari, Simon Bourigault, 2015, 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Apprentissage automatique pour l'annotation d'images

Hervé Glotin, Hichem Sahbi, Philippe Mulhem, 2011 .

Unsupervised Learning with Term Clustering for Thematic Segmentation of Texts

Massih-Reza Amini, Patrick Gallinari, Jean-François Pessiot, 2004, RIAO.

A Ranking Based Model for Automatic Image Annotation in a Social Network

Ludovic Denoyer, Patrick Gallinari, P. Gallinari, 2010, ICWSM.

Validation of neural net architectures on speech recognition tasks

Younès Bennani, Patrick Gallinari, A. Mellouk, 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

Machine Learning Ranking for Structured Information Retrieval

Patrick Gallinari, Jean-Noël Vittaut, P. Gallinari, 2006, ECIR.

Memoires associatives distribuees: Une comparaison (Distributed associative memories: A comparison)

Yann LeCun, Patrick Gallinari, S. Thiria, 1987 .

Smart card in public transportation: Designing a analysis system at the human scale

Patrick Gallinari, Vincent Guigue, Nicolas Baskiotis, 2016, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC).

Knowledge base completion by learning pairwise-interaction differentiated embeddings

Yu Zhao, Jun Guo, Patrick Gallinari, 2015, Data Mining and Knowledge Discovery.

Flexible Grid-Based Clustering

Kavé Salamatian, Patrick Gallinari, Marc-Ismaël Akodjènou-Jeannin, 2007, PKDD.

A comparison of discriminative classifiers for web news content extraction

Patrick Gallinari, Antoine Bordes, Alex Spengler, 2010, RIAO.

Un modèle de mixture de modèles génératifs pour les documents structurés multimédias

Ludovic Denoyer, Patrick Gallinari, 2004 .

Learning to summarise XML documents using content and structure

Mounia Lalmas, Massih-Reza Amini, Patrick Gallinari, 2005, CIKM '05.

Probabilistic Latent Tensor Factorization Model for Link Pattern Prediction in Multi-relational Networks pdf

Patrick Gallinari, Sheng Gao, Ludovic Denoyer, 2012, ArXiv.

A Machine Learning Model for Information Retrieval with Structured Documents

Benjamin Piwowarski, Patrick Gallinari, 2003, MLDM.

State sharing in a hybrid neuro-Markovian on-line handwriting recognition system through a simple hierarchical clustering algorithm

Haifeng Li, Patrick Gallinari, Thierry Artières, 2002, Proceedings. Fourth IEEE International Conference on Multimodal Interfaces.

Leveraging rating behavior to predict negative social ties

Benjamin Piwowarski, Patrick Gallinari, Luc-Aurélien Gauthier, 2015, 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Conditional Generative Adversarial Networks for Regression

S. Sathiya Keerthi, Patrick Gallinari, Karan Aggarwal, 2019 .

SGD-QN: Careful Quasi-Newton Stochastic Gradient Descent

Patrick Gallinari, Antoine Bordes, Léon Bottou, 2009, J. Mach. Learn. Res..

Anomaly detection and characterization in smart card logs using NMF and Tweets

Patrick Gallinari, Vincent Guigue, Nicolas Baskiotis, 2017, ESANN.

Using Belief Networks and Fisher Kernels for Structured Document Classification

Ludovic Denoyer, Patrick Gallinari, 2003, PKDD.

Résumé automatique de texte avec un algorithme d'ordonnancement

Massih-Reza Amini, Patrick Gallinari, Nicolas Usunier, 2005, Ingénierie des Systèmes d Inf..

Classification automatique de documents structurés. Application au corpus d'arbres étiquetés de type XML

Ludovic Denoyer, Patrick Gallinari, Guillaume Wisniewski, 2005, CORIA.

The use of unlabeled data to improve supervised learning for text summarization

Massih-Reza Amini, Patrick Gallinari, P. Gallinari, 2002, SIGIR '02.

A Hierarchical Approach for the Combination of Information Retrieval and Extraction

Patrick Gallinari, Hugo Zaragoza, 1998 .

UPMC/LIP6 at ImageCLEFphoto 2008: on the Exploitation of Visual Concepts (VCDT)

Massih-Reza Amini, Patrick Gallinari, Marcin Detyniecki, 2008, CLEF.

Anomaly detection in smart card logs and distant evaluation with Twitter: a robust framework

Patrick Gallinari, Vincent Guigue, Nicolas Baskiotis, 2018, Neurocomputing.

Global discrimination for neural predictive systems based on N-best algorithm

Abdelhamid Mellouk, Patrick Gallinari, 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

Predicting Information Diffusion in Social Networks Using Content and User's Profiles

Ludovic Denoyer, Patrick Gallinari, Éric Gaussier, 2013, ECIR.

Speech processing and recognition using integrated neurocomputing techniques (Esprit Basic Research Action 3228: SPRINT)

Frédéric Bimbot, Khalid Choukri, Younès Bennani, 1990, Neurocomputing.

A Selective Sampling Strategy for Label Ranking

François Laviolette, Massih-Reza Amini, Patrick Gallinari, 2006, ECML.

Learning to Rank for Collaborative Filtering

Massih-Reza Amini, Patrick Gallinari, Nicolas Usunier, 2007, ICEIS.

Automata networks and artificial intelligence

Sylvie Thiria, Patrick Gallinari, Yann Le Cun, 1987 .

Apprentissage des schémas de propagation dans les multi-graphes

Ludovic Denoyer, Patrick Gallinari, Yann Jacob, 2011, CORIA.

Regression with Conditional GAN pdf

S. Sathiya Keerthi, Patrick Gallinari, Karan Aggarwal, 2019, ArXiv.

Learning efficient error correcting output codes for large hierarchical multi-class problems

Patrick Gallinari, Thierry Artières, Moustapha Cisse, 2011 .

Overview of the INEX 2008 XML Mining Track

Ludovic Denoyer, Patrick Gallinari, 2008, INEX.

RNTL Technolangue ATONANT. Aide à l'enrichissement semi-automatique d'ontologies

Gilles Kassel, Sylvie Szulman, Patrick Gallinari, 2006 .

An MLP-SVM combination architecture for offline handwritten digit recognition

Patrick Gallinari, Michel Gilloux, Abdel Bellili, 2003, Document Analysis and Recognition.

Lecture Séquentielle de Documents pour la Classification

Ludovic Denoyer, Patrick Gallinari, Gabriel Dulac-Arnold, 2012, CORIA.

A system for the extraction and representation of summary of product characteristics content

Paola Russo, Patrick Gallinari, Silvana Quaglini, 2013, Artif. Intell. Medicine.

Representation Learning for Information Diffusion through Social Networks: an Embedded Cascade Model

Sylvain Lamprier, Patrick Gallinari, Simon Bourigault, 2016, WSDM.

Classification of Eddy Sea Surface Temperature Signatures Under Cloud Coverage

Patrick Gallinari, Evangelos Moschos, Olivier Schwander, 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Génération automatique d'une structure hiérarchique de concepts et de documents à partir de corpus

Patrick Gallinari, Hermine Njike Fotzo, Nathalie Lagunas, 2003, EGC.

Semi Supervised Logistic Regression

Massih-Reza Amini, Patrick Gallinari, P. Gallinari, 2002, ECAI.

A Reference Architecture for Quality Improvement in Steel Production

Valentina Colla, Patrick Gallinari, Xavier Renard, 2017 .

A hidden Markov model extension of a neural predictive system for on-line character recognition

Abdelhamid Mellouk, Bernadette Dorizzi, Sonia Garcia-Salicetti, 1995, Proceedings of 3rd International Conference on Document Analysis and Recognition.

LIP6 at INEX'09: OWPC for Ad Hoc Track

Patrick Gallinari, Nicolas Usunier, David Buffoni, 2009, INEX.

Apprentissage automatique de la propagation des étiquettes dans les réseaux sociaux multirelationnels

Ludovic Denoyer, Patrick Gallinari, Yann Jacob, 2012, Document Numérique.

Smart Software sensors for electronic nose applications

Patrick Gallinari, Vincent Grimaldi, 1999 .

Improving document clustering in a learned concept space

Massih-Reza Amini, Young-Min Kim, Patrick Gallinari, 2010, Inf. Process. Manag..

Simulated Iterative Classification A New Learning Procedure for Graph Labeling

Ludovic Denoyer, Patrick Gallinari, Francis Maes, 2009, ECML/PKDD.

Applications of Reinforcement Learning to Structured Prediction

Ludovic Denoyer, Patrick Gallinari, Francis Maes, 2008, EWRL.

Réseau de neurones profond et SVM pour la classification des sentiments

Patrick Gallinari, Vincent Guigue, Abdelhalim Rafrafi, 2011, CORIA.

Latent Trajectory Modeling: A Light and Efficient Way to Introduce Time in Recommender Systems

Patrick Gallinari, Vincent Guigue, Élie Guàrdia-Sebaoun, 2015, RecSys.

Extracting Information from Summary of Product Characteristics for Improving Drugs Prescription Safety

Patrick Gallinari, Silvana Quaglini, Stefania Rubrichi, 2011, AIME.

Ranking with non-random missing ratings: influence of popularity and positivity on evaluation metrics

Patrick Gallinari, Nicolas Usunier, Bruno Pradel, 2012, RecSys.

Sequential Dynamic Classification for Large Scale Multiclass Problems

Patrick Gallinari, Nicolas Baskiotis, Raphael Puget, 2015, ICML 2015.

Stochastic models for document restructuration

Patrick Gallinari, Guillaume Wisniewski, Francis Maes, 2005 .

Graph Anonymization Using Machine Learning

Ludovic Denoyer, Patrick Gallinari, Maria Laura Maag, 2014, 2014 IEEE 28th International Conference on Advanced Information Networking and Applications.

Probabilistic Model for Structured Document Mapping Application to Automatic HTML to XML Conversion

Ludovic Denoyer, Patrick Gallinari, Guillaume Wisniewski, 2007 .

Copy mechanism and tailored training for character-based data-to-text generation pdf

Patrick Gallinari, Marco Roberti, Rossella Cancelliere, 2019, ECML/PKDD.

Xml mining challenge at inex 2005

Ludovic Denoyer, Patrick Gallinari, Anna-Marie Vercoustre, 2006 .

Prédiction de liens temporels en intégrant les informations de contenu et de structure

Ludovic Denoyer, Patrick Gallinari, Sheng Gao, 2012, Ingénierie des Systèmes d Inf..

Classification de Sentiments Multi-Domaines et Passage à l'Echelle

Patrick Gallinari, Vincent Guigue, Abdelhalim Rafrafi, 2013, CORIA.

Gaussian Embeddings for Collaborative Filtering

Ludovic Dos Santos, Benjamin Piwowarski, Patrick Gallinari, 2017, SIGIR.

Learning on automata networks

Yann LeCun, Patrick Gallinari, S. Thiria, 1987 .

Stochastic models for surface information extraction in texts

Massih-Reza Amini, Patrick Gallinari, Hugo Zaragoza, 1999 .

UPMC/LIP6 at ImageCLEFannotation2009: Large Scale Visual Concept Detection and Annotation

Ludovic Denoyer, Patrick Gallinari, Sabrina Tollari, 2009, CLEF.

Prediction and discrimination in neural networks for continuous speech recognition

Abdelhamid Mellouk, Patrick Gallinari, F. Rauscher, 1993, EUROSPEECH.

Document structure matching for heterogeneous corpora

Patrick Gallinari, Guillaume Wisniewski, Ludovic Denoyer, 2004, SIGIR 2004.

Extended Recommendation Framework: Generating the Text of a User Review as a Personalized Summary

Patrick Gallinari, Vincent Guigue, Mickaël Poussevin, 2015, CBRecSys@RecSys.

Classification and annotation in social corpora using multiple relations

Ludovic Denoyer, Patrick Gallinari, Yann Jacob, 2011, CIKM '11.

Automatic learning of domain model for personalized hypermedia applications

Patrick Gallinari, Thierry Artières, Julien Blanchard, 2005, IJCAI.

From characters to words: dynamical segmentation and predictive neural networks

Bernadette Dorizzi, Sonia Garcia-Salicetti, Patrick Gallinari, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

Practical complexity control in multilayer perceptrons

Patrick Gallinari, Tautvydas Cibas, P. Gallinari, 1999, Signal Process..

Overview of the INEX 2009 XML Mining Track: Clustering and Classification of XML Documents

Richi Nayak, Ludovic Denoyer, Shlomo Geva, 2009, INEX.

Apprentissage de comportements utilisateurs de produits hypermédias

Patrick Gallinari, Thierry Artières, Frédéric Piat, 2003, EGC.

Apprentissage d'ordonnancements en recherche d'information structurée

Patrick Gallinari, Jean-Noël Vittaut, P. Gallinari, 2006, CORIA.

Apprentissage de fonctions d'ordonnancement par classification de paires ordonnées et pondérées (OWPC)

Patrick Gallinari, Nicolas Usunier, David Buffoni, 2010, CORIA.

Learnable Ranking Models for Automatic Text Summarization and Information Retrieval

Massih-Reza Amini, Patrick Gallinari, Nicolas Usunier, 2012, Textual Information Access: Statistical Models.

Un algorithme de boosting pour des modèles d'optimisation de campagne de churn

Patrick Gallinari, Thierry Delbecque, Hermine Njike Fotzo, 2002 .

Solving multiclass support vector machines with LaRank

Jason Weston, Patrick Gallinari, Antoine Bordes, 2007, ICML '07.

Semi-supervised learning with an imperfect supervisor

Massih-Reza Amini, Patrick Gallinari, P. Gallinari, 2005, Knowledge and Information Systems.

XML Structure Mapping

Ludovic Denoyer, Patrick Gallinari, Francis Maes, 2006, INEX.

Sequence Models for Automatic Highlighting and Surface Information Extraction

Massih-Reza Amini, Patrick Gallinari, Hugo Zaragoza, 1999, BCS-IRSG Annual Colloquium on IR Research.

Automatic contour extraction in images using a 2-D hidden Markov model

Patrick Gallinari, Sherif Makram-Ebeid, Florence d'Alché-Buc, 1999 .

Cross-Domain Recommendation via Cluster-Level Latent Factor Model

Hao Luo, Jun Guo, Patrick Gallinari, 2013, ECML/PKDD.

Probabilistic Multi-classifier by SVM from voting rule to voting features

Patrick Gallinari, David Buffoni, Anh Phuc Trinh, 2009, EGC.

Détection de sources de diffusion par apprentissage de représentations distribuées

Sylvain Lamprier, Patrick Gallinari, Simon Bourigault, 2018, Document Numérique.

Using Structure For Information Extraction In Html Documents

Patrick Gallinari, Thierry Paquet, Frédéric Kerloch, 2003, Pattern Recognition in Information Systems.

Semi-Supervised Learning with Explicit Misclassification Modeling

Massih-Reza Amini, Patrick Gallinari, P. Gallinari, 2003, IJCAI.

Datum-Wise Classification: A Sequential Approach to Sparsity pdf

Ludovic Denoyer, Patrick Gallinari, Gabriel Dulac-Arnold, 2011, ECML/PKDD.

Report on the xml mining classification track at inex 2009

Ludovic Denoyer, Patrick Gallinari, 2009 .

Text Classification: A Sequential Reading Approach pdf

Patrick Gallinari, Gabriel Dulac-Arnold, Ludovic Denoyer, 2011, ECIR.

Iterative Annotation of Multi-relational Social Networks

Ludovic Denoyer, Patrick Gallinari, Stéphane Peters, 2010, 2010 International Conference on Advances in Social Networks Analysis and Mining.

Multiple Multivariate Regression and Global Optimization in a Large Scale Thermodynamical Application

Patrick Gallinari, Hugo Zaragoza, 1997, ICANN.

Passé, présent, futurs : induction de carrières professionnelles à partir de CV

Patrick Gallinari, Vincent Guigue, Charles-Emmanuel Dias, 2017, CORIA.

An hybrid MLP-SVM handwritten digit recognizer

Patrick Gallinari, Michel Gilloux, Abdel Bellili, 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

NEURAL NETS AND TASK DECOMPOSITION

Sylvie Thiria, Patrick Gallinari, M. de Bollivier, 1991 .

Robust Bloom Filters for Large MultiLabel Classification Tasks

Moustapha Cissé, Patrick Gallinari, Nicolas Usunier, 2013, NIPS.

RNN et modèle d'attention pour l'apprentissage de profils textuels personnalisés

Patrick Gallinari, Vincent Guigue, Charles-Emmanuel Dias, 2018, CORIA.

Learning Scoring Functions with Order-Preserving Losses and Standardized Supervision

Patrick Gallinari, Nicolas Usunier, David Buffoni, 2011, ICML.

Supervised and Semi-supervised Machine Learning Ranking

Patrick Gallinari, Jean-Noël Vittaut, P. Gallinari, 2006, INEX.

Incorporating Visual Semantics into Sentence Representations within a Grounded Space pdf

Laure Soulier, Benjamin Piwowarski, Patrick Gallinari, 2019, EMNLP.

Ré-ordonnancement pour l'apprentissage de transformations de documents HTML

Patrick Gallinari, Guillaume Wisniewski, 2007, EGC.

Learning Distributed Representations of Users for Source Detection in Online Social Networks

Sylvain Lamprier, Patrick Gallinari, Simon Bourigault, 2016, ECML/PKDD.

Context-aware Forecasting for Multivariate Stationary Time-series

Patrick Gallinari, Vincent Guigue, Nicolas Baskiotis, 2018 .

Evolutionary optimization of convolutional neural networks for cancer miRNA biomarkers classification

Benjamin Piwowarski, Patrick Gallinari, Alejandro Lopez Rincon, 2018, Appl. Soft Comput..

Precision recall with user modeling (PRUM): Application to structured information retrieval

Benjamin Piwowarski, Patrick Gallinari, Georges Dupret, 2007, TOIS.

Apprentissage d'un espace de concepts de mots pour une nouvelle représentation des données textuelles

Massih-Reza Amini, Young-Min Kim, Patrick Gallinari, 2008, CORIA.

Multivariate Linear Regression on Classifier Outputs: a Capacity Study

Patrick Gallinari, Yann Guermeur, Hélène Paugam-Moisy, 1998 .

Context-Aware Zero-Shot Learning for Object Recognition

Laure Soulier, Benjamin Piwowarski, Patrick Gallinari, 2019, ICML.

Report on INEX 2009

Richi Nayak, Andrew Trotman, Gabriella Kazai, 2010, SIGF.

Erratum: SGDQN is Less Careful than Expected

Patrick Gallinari, Antoine Bordes, Léon Bottou, 2010, J. Mach. Learn. Res..

Deep Sequential Neural Network pdf

Ludovic Denoyer, Patrick Gallinari, 2014, NIPS 2014.

Continuous Speech Recognition Predictive Systems

Patrick Gallinari, A. Mellouk, 1993 .

An analysis of numerical issues in neural training by pseudoinversion

Mario Gai, Patrick Gallinari, Rossella Cancelliere, 2015, Computational and Applied Mathematics.

Principles of Data Mining and Knowledge Discovery

Johannes Fürnkranz, Wei-Min Shen, Hendrik Blockeel, 1997, Lecture Notes in Computer Science.

Variable Selection with Optimal Cell Damage

Patrick Gallinari, Sarunas Raudys, Tautvydas Cibas, 1994 .

Learning latent representations of nodes for classifying in heterogeneous social networks

Ludovic Denoyer, Patrick Gallinari, Yann Jacob, 2014, WSDM.

A Novel Embedding Method for Information Diffusion Prediction in Social Network Big Data

Nei Kato, Jun Guo, Patrick Gallinari, 2017, IEEE Transactions on Industrial Informatics.

Modèles d'Ordonnancement pour l'Annotation Automatique d'Images dans les Réseaux Sociaux

Ludovic Denoyer, Patrick Gallinari, 2010, CORIA.

Influence learning for cascade diffusion models: focus on partial orders of infections

Sylvain Lamprier, Patrick Gallinari, Simon Bourigault, 2016, Social Network Analysis and Mining.

Learning Classification with Both Labeled and Unlabeled Data

Massih-Reza Amini, Patrick Gallinari, Jean-Noël Vittaut, 2002, ECML.

Learning Grounded Sentence Representations by Jointly Using Video and Text Information

Laure Soulier, Benjamin Piwowarski, Patrick Gallinari, 2018 .

Learning "Generalization/Specialization" Relations between Concepts - Application for Automatically Building Thematic Document Hierarchies

Patrick Gallinari, Hermine Njike Fotzo, P. Gallinari, 2004, RIAO.

Regularize and explicit collaborative filtering with textual attention

Patrick Gallinari, Vincent Guigue, Charles-Emmanuel Dias, 2018, ESANN.

On Effectiveness Measures and Relevance Functions in Ranking INEX Systems

Patrick Gallinari, Huyen-Trang Vu, P. Gallinari, 2005, AIRS.

Un système d'aide à la navigation dans des hypermédias

Patrick Gallinari, Thierry Artières, Julien Blanchard, 2005, EGC.

"On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking"

Patrick Gallinari, Nicolas Usunier, Clément Calauzènes, 2012, NIPS.

COMPARISON AND COOPERATION OF SEVERAL CLASSIFIERS

Patrick Gallinari, Léon Bottou, Xavier Driancourt, 1991 .

Filtrage Collaboratif avec un Algorithme d'Ordonnancement

Massih-Reza Amini, Patrick Gallinari, Nicolas Usunier, 2007, CORIA.

EP-Net: Learning Cardiac Electrophysiology Models for Physiology-Based Constraints in Data-Driven Predictions

Nicolas Cedilnik, Maxime Sermesant, Patrick Gallinari, 2019, FIMH.

Mining XML Documents

Alexandre Termier, Patrick Gallinari, Anne-Marie Vercoustre, 2007 .

Latent Factor BlockModel for Modelling Relational Data

Ludovic Denoyer, Jun Guo, Patrick Gallinari, 2013, ECIR.

Représentations et régularisations pour la classification de sentiments

Patrick Gallinari, Vincent Guigue, Abdelhalim Rafrafi, 2012, CORIA.

A Hidden Markov Models combination framework for handwriting recognition

Bernadette Dorizzi, Patrick Gallinari, Thierry Artières, 2003, Document Analysis and Recognition.

Représentation temporelle des mots : application au clustering de micro-blogs

Benjamin Piwowarski, Patrick Gallinari, Nicolas Baskiotis, 2016, CORIA-CIFED.

Using Visual Concepts and Fast Visual Diversity to Improve Image Retrieval

Massih-Reza Amini, Christophe Marsala, Patrick Gallinari, 2008, CLEF.

Policies for Contextual Bandit Problems with Count Payoffs

Sylvain Lamprier, Patrick Gallinari, Thibault Gisselbrecht, 2015, 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI).

Learning States Representations in POMDP pdf

Ludovic Denoyer, Patrick Gallinari, Thierry Artières, 2014, ICLR.

Coping with the Frequency Bias in Sentiment Classification

Patrick Gallinari, Vincent Guigue, Abdelhalim Rafrafi, 2012, ICWSM 2012.

Cooperation of neural nets for robust classification

Sylvie Thiria, Patrick Gallinari, Michel de Bollivier, 1990, 1990 IJCNN International Joint Conference on Neural Networks.

Utilisation de concepts visuels et de la diversité visuelle pour améliorer la recherche d'images

Massih-Reza Amini, Christophe Marsala, Patrick Gallinari, 2009, CORIA.

Bandit contextuel pour la capture de données temps réel sur les médias sociaux

Sylvain Lamprier, Patrick Gallinari, Thibault Gisselbrecht, 2016, CORIA-CIFED.

Predicting most rated items in Weekly Recommendation with temporal regression

Patrick Gallinari, Nicolas Usunier, Bruno Pradel, 2010, CAMRa '10.

Spatio-temporal neural networks for space-time data modeling and relation discovery

Ludovic Denoyer, Patrick Gallinari, Edouard Delasalles, 2019, Knowledge and Information Systems.

Online Handwritten Shape Recognition Using Segmental Hidden Markov Models

Patrick Gallinari, Thierry Artières, Sanparith Marukatat, 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

STROKE LEVEL MODELING OF ON LINE HANDWRITING THROUGH MULTIMODAL SEGMENTAL MODEL

Patrick Gallinari, Thierry Artières, J-M. Marchand, 2004 .

Apprentissage en temps réel pour la collecte d'information dans les réseaux sociaux

Ludovic Denoyer, Sylvain Lamprier, Patrick Gallinari, 2015, CORIA.

Machine Learning for Semi-structured Multimedia Documents: Application to Pornographic Filtering and Thematic Categorization

Ludovic Denoyer, Patrick Gallinari, 2008, Machine Learning Techniques for Multimedia.

Representation Learning for Classification in Heterogeneous Graphs with Application to Social Networks

Ludovic Denoyer, Ludovic Dos Santos, Benjamin Piwowarski, 2018, ACM Trans. Knowl. Discov. Data.

Iterative Multi-label Multi-relational Classification Algorithm for complex social networks

Ludovic Denoyer, Patrick Gallinari, Yann Jacob, 2011, Social Network Analysis and Mining.

Graph Based Method Approach to the ImageCLEF2015 Task1 - Image Annotation

Ludovic Dos Santos, Benjamin Piwowarski, Patrick Gallinari, 2015, CLEF.

Classification dans les graphes hétérogènes basée sur une représentation latente des noeuds

Ludovic Denoyer, Patrick Gallinari, Yann Jacob, 2013, CORIA.

Text-based collaborative filtering for cold-start soothing and recommendation enrichment

Patrick Gallinari, Vincent Guigue, Charles-Emmanuel Dias, 2017 .

Link prediction via latent factor BlockModel

Ludovic Denoyer, Patrick Gallinari, Sheng Gao, 2012, WWW.

An Improved Structured and Progressive Electronic Dictionary for the Arabic Language: iSPEDAL

Patrick Gallinari, Mohammad Hajjar, Khaldoun Zreik, 2010, 2010 Fifth International Conference on Internet and Web Applications and Services.

Using RankBoost to compare retrieval systems

Patrick Gallinari, Huyen-Trang Vu, 2005, CIKM '05.

Bayesian Networks and INEX

Benjamin Piwowarski, Patrick Gallinari, Georges-Etienne Faure, 2002, INEX Workshop.

LSHTC: A Benchmark for Large-Scale Text Classification pdf

Georgios Paliouras, Ioannis Partalas, Massih-Reza Amini, 2015, ArXiv.

Strategies for combining on-line and off-line information in an on-line handwriting recognition system

Bernadette Dorizzi, Patrick Gallinari, Thierry Artières, 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

LIP6@CLEF2017: Multi-Modal Spatial Role Labeling using Word Embeddings

Laure Soulier, Benjamin Piwowarski, Patrick Gallinari, 2017, CLEF.

Link Pattern Prediction with tensor decomposition in multi-relational networks

Ludovic Denoyer, Patrick Gallinari, Sheng Gao, 2011, 2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM).

Automatically building domain model in hypermedia applications

Patrick Gallinari, Thierry Artières, Julien Blanchard, 2005 .

Ranking with ordered weighted pairwise classification

Patrick Gallinari, Nicolas Usunier, David Buffoni, 2009, ICML '09.

Local search and pseudoinversion: an hybrid approach to neural network training

Patrick Gallinari, Andrea Grosso, Rossella Cancelliere, 2016, Knowledge and Information Systems.

Classification automatique de structures arborescentes a l aide du noyau de Fisher

Patrick Gallinari, Guillaume Wisniewski, Ludovic Denoyer, 2005 .

Combinaison de fonctions de préférence par boosting pour la recherche de passages dans les systèmes de question/réponse

Massih-Reza Amini, Patrick Gallinari, Nicolas Usunier, 2005, EGC.

The Wikipedia XML corpus

Ludovic Denoyer, Patrick Gallinari, 2006, SIGF.

A Model-Based Approach to Sequence Clustering

Patrick Gallinari, Thierry Artières, Henri Binsztok, 2004, ECAI.

Collecte ciblée à partir de flux de données en ligne dans les médias sociaux. Une approche de bandit contextuel

Sylvain Lamprier, Patrick Gallinari, Thibault Gisselbrecht, 2016, Document Numérique.

Reconnaissance de Chiffres Manuscrits par un Système Hybride MLP-SVM

Patrick Gallinari, M. Gilloux, Abdel Bellili, 2002 .

Off-Line Cursive Word Recognition with a Hybrid Neural-HMM System

Bernadette Dorizzi, Sonia Garcia-Salicetti, Patrick Gallinari, 1997, BSDIA.

Linear Bandits in Unknown Environments

Sylvain Lamprier, Patrick Gallinari, Thibault Gisselbrecht, 2016, ECML/PKDD.

Modeling Relational Data via Latent Factor Blockmodel pdf

Ludovic Denoyer, Patrick Gallinari, Sheng Gao, 2012, ArXiv.

Sélection de modèles par des méthodes à noyaux pour la classification de données séquentielles

Patrick Gallinari, Thierry Artières, Trinh Minh Tri Do, 2005, EGC.

Improving Image Annotation in Imbalanced Classification Problems with Ranking SVM

Patrick Gallinari, Nicolas Usunier, Sabrina Tollari, 2009, CLEF.

Information Access via Topic Hierarchies and Thematic Annotations from Document Collections

Patrick Gallinari, Hermine Njike Fotzo, P. Gallinari, 2004, ICEIS.

Multiple multivariate regression and global sequence optimization: : An application to large-scale models of radiation intensity

Patrick Gallinari, Hugo Zaragoza, R. Curtelin, 1998, Signal Process..

Bayesian network model for semi-structured document classification

Ludovic Denoyer, Patrick Gallinari, P. Gallinari, 2004, Inf. Process. Manag..

Extraction d'un vocabulaire de surprise par mélange de filtrage collaboratif et d'analyse de sentiments

Patrick Gallinari, Vincent Guigue, Mickaël Poussevin, 2015, CORIA.

Représentations Gaussiennes pour le Filtrage Collaboratif

Benjamin Piwowarski, Patrick Gallinari, Hadrien Titeux, 2018, CORIA.

Generalization using back-propagation

Yann LeCun, Patrick Gallinari, S. Thiria, 1987 .

Deep learning for physical processes: incorporating prior scientific knowledge pdf

Patrick Gallinari, Emmanuel de Bézenac, Arthur Pajot, 2017, ICLR.

On the use of TDNN-extracted features information in talker identification

Younès Bennani, Patrick Gallinari, 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

LIP6 at INEX'10: OWPC for Ad Hoc Track

Patrick Gallinari, Nicolas Usunier, David Buffoni, 2010, INEX.

Boosting Weak Ranking Functions to Enhance Passage Retrieval for Question Answering

Patrick Gallinari, Nicolas Usunier, Massih R. Amini, 2004, SIGIR 2004.

Analyse de la robustesse des algorithmes de méta-recherche discriminante

Patrick Gallinari, Huyen-Trang Vu, 2008, CORIA.

EP-Net 2.0: Out-of-Domain Generalisation for Deep Learning Models of Cardiac Electrophysiology

Nicolas Cedilnik, Patrick Gallinari, Ibrahim Ayed, 2021, Functional Imaging and Modeling of the Heart.

Learning Dynamical Systems across Environments

Patrick Gallinari, Emmanuel de Bézenac, Ibrahim Ayed, 2021, AAAI Spring Symposium: MLPS.

Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation pdf

Sylvain Lamprier, Laure Soulier, Patrick Gallinari, 2021, EMNLP.

Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling

Patrick Gallinari, Riccardo Guidotti, Carlo Metta, 2021, 2021 IEEE Symposium on Computers and Communications (ISCC).

Differentiable Feature Selection, a Reparameterization Approach

Patrick Gallinari, J'er'emie Dona, P. Gallinari, 2021, ECML/PKDD.

Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction

Patrick Gallinari, Geoffrey Scoutheeten, Vincent Guigue, 2021, EMNLP.

Augmenting physical models with deep networks for complex dynamics forecasting

Nicolas Thome, Patrick Gallinari, Vincent Le Guen, 2021, ICLR.

CycleGAN Through the Lens of (Dynamical) Optimal Transport

Patrick Gallinari, Emmanuel de Bézenac, Ibrahim Ayed, 2021, ECML/PKDD.

LEADS: Learning Dynamical Systems that Generalize Across Environments pdf

Patrick Gallinari, Nicolas Baskiotis, Ibrahim Ayed, 2021, ArXiv.

Explainable Deep Image Classifiers for Skin Lesion Diagnosis pdf

Fosca Giannotti, Patrick Gallinari, Riccardo Guidotti, 2021, ArXiv.

The Rare Word Issue in Natural Language Generation: A Character-Based Solution

Patrick Gallinari, Marco Roberti, Rossella Cancelliere, 2021, Informatics.

QuestEval: Summarization Asks for Fact-based Evaluation

Sylvain Lamprier, Patrick Gallinari, Jacopo Staiano, 2021, EMNLP.

Mapping conditional distributions for domain adaptation under generalized target shift pdf

Patrick Gallinari, Alain Rakotomamonjy, Emmanuel de Bezenac, 2021, ArXiv.

SAFEval: Summarization Asks for Fact-based Evaluation pdf

Sylvain Lamprier, Benjamin Piwowarski, Patrick Gallinari, 2021, ArXiv.

Controlling hallucinations at word level in data-to-text generation

Laure Soulier, Patrick Gallinari, Cl'ement Rebuffel, 2021, Data Mining and Knowledge Discovery.

A Neural Tangent Kernel Perspective of GANs pdf

Sylvain Lamprier, Patrick Gallinari, Ibrahim Ayed, 2021, ArXiv.

Unsupervised domain adaptation with non-stochastic missing data

Patrick Gallinari, Alain Rakotomamonjy, Amin Mantrach, 2021, Data Mining and Knowledge Discovery.

Stochastic sparse adversarial attacks

Sylvain Lamprier, Patrick Gallinari, Hatem Hajri, 2021, 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI).

Combinaison linéaire optimale de classifieurs

Patrick Gallinari, Yann Guermeur, Florence d'Alché-Buc, 1997 .

Bayesian Networks and INEX ’ 03

Benjamin Piwowarski, Patrick Gallinari, P. Gallinari, 2008 .

Web Spam Challenge

Brian D. Davison, Patrick Gallinari, Ludovic Denoyer, 2007 .

Tensor decomposition model for link prediction in multi-relational networks

Ludovic Denoyer, Patrick Gallinari, Sheng Gao, 2010, 2010 2nd IEEE InternationalConference on Network Infrastructure and Digital Content.

Semi-supervised learning with an explicit label-error model for misclassified data

Massih-Reza Amini, Patrick Gallinari, P. Gallinari, 2022 .

Bayesian Networks for Structured Information Retrieval

Benjamin Piwowarski, Patrick Gallinari, P. Gallinari, 2004 .