Patrick Gallinari

According to our database1, Patrick Gallinari authored at least 305 papers between 1988 and 2020.

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Bibliography

2020
Classification of Eddy Sea Surface Temperature Signatures Under Cloud Coverage.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Knowledge graph entity typing via learning connecting embeddings.
Knowl. Based Syst., 2020

PDE-Driven Spatiotemporal Disentanglement.
CoRR, 2020

BERT Can See Out of the Box: On the Cross-modal Transferability of Text Representations.
CoRR, 2020

Stochastic Latent Residual Video Prediction.
CoRR, 2020

Interpretable time series kernel analytics by pre-image estimation.
Artif. Intell., 2020

Deep-SST-Eddies: A Deep Learning Framework to Detect Oceanic Eddies in Sea Surface Temperature Images.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Learning the Spatio-Temporal Dynamics of Physical Processes from Partial Observations.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Transfert entre campagnes de Real-Time Bidding.
Proceedings of the Extraction et Gestion des Connaissances, 2020

Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization.
Proceedings of the Advances in Information Retrieval, 2020

A Hierarchical Model for Data-to-Text Generation.
Proceedings of the Advances in Information Retrieval, 2020

Capturing Entity Hierarchy in Data-to-Text Generative Models.
Proceedings of the Joint Conference of the Information Retrieval Communities in Europe (CIRCLE 2020), 2020

Resume: A Robust Framework for Professional Profile Learning & Evaluation.
Proceedings of the Joint Conference of the Information Retrieval Communities in Europe (CIRCLE 2020), 2020

2019
Spatio-temporal neural networks for space-time data modeling and relation discovery.
Knowl. Inf. Syst., 2019

Real-time detection of driver distraction: random projections for pseudo-inversion-based neural training.
Knowl. Inf. Syst., 2019

Embedding Learning with Triple Trustiness on Noisy Knowledge Graph.
Entropy, 2019

Contextual bandits with hidden contexts: a focused data capture from social media streams.
Data Min. Knowl. Discov., 2019

Unsupervised Adversarial Image Inpainting.
CoRR, 2019

Optimal Unsupervised Domain Translation.
CoRR, 2019

Regression with Conditional GAN.
CoRR, 2019

Learning Dynamical Systems from Partial Observations.
CoRR, 2019

Copy Mechanism and Tailored Training for Character-Based Data-to-Text Generation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Context-Aware Zero-Shot Learning for Object Recognition.
Proceedings of the 36th International Conference on Machine Learning, 2019

Unsupervised Adversarial Image Reconstruction.
Proceedings of the 7th International Conference on Learning Representations, 2019

EP-Net: Learning Cardiac Electrophysiology Models for Physiology-Based Constraints in Data-Driven Predictions.
Proceedings of the Functional Imaging and Modeling of the Heart, 2019

Incorporating Visual Semantics into Sentence Representations within a Grounded Space.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Un modèle multimodal d'apprentissage de représentations de phrases qui préserve la sémantique visuelle.
Proceedings of the COnférence en Recherche d'Informations et Applications, 2019

2018
Representation Learning for Classification in Heterogeneous Graphs with Application to Social Networks.
ACM Trans. Knowl. Discov. Data, 2018

A distributed Frank-Wolfe framework for learning low-rank matrices with the trace norm.
Mach. Learn., 2018

Profile-Based Bandit with Unknown Profiles.
J. Mach. Learn. Res., 2018

Anomaly detection in smart card logs and distant evaluation with Twitter: a robust framework.
Neurocomputing, 2018

A novel non-Gaussian embedding based model for recommender systems.
Neurocomputing, 2018

Détection de sources de diffusion par apprentissage de représentations distribuées.
Document Numérique, 2018

Evolutionary optimization of convolutional neural networks for cancer miRNA biomarkers classification.
Appl. Soft Comput., 2018

Time Warp Invariant Dictionary Learning for Time Series Clustering: Application to Music Data Stream Analysis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge.
Proceedings of the 6th International Conference on Learning Representations, 2018

Regularize and explicit collaborative filtering with textual attention.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Représentations Gaussiennes pour le Filtrage Collaboratif.
Proceedings of the COnférence en Recherche d'Informations et Applications, 2018

RNN et modèle d'attention pour l'apprentissage de profils textuels personnalisés.
Proceedings of the COnférence en Recherche d'Informations et Applications, 2018

Learning Multi-Modal Word Representation Grounded in Visual Context.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
A Novel Embedding Method for Information Diffusion Prediction in Social Network Big Data.
IEEE Trans. Ind. Informatics, 2017

Zero-Shot Embedding for Unseen Entities in Knowledge Graph.
IEICE Trans. Inf. Syst., 2017

A Novel Embedding Model for Relation Prediction in Recommendation Systems.
IEICE Trans. Inf. Syst., 2017

Multiple Bayesian discriminant functions for high-dimensional massive data classification.
Data Min. Knowl. Discov., 2017

Gaussian Embeddings for Collaborative Filtering.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Variational Thompson Sampling for Relational Recurrent Bandits.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Spatio-Temporal Neural Networks for Space-Time Series Forecasting and Relations Discovery.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Anomaly detection and characterization in smart card logs using NMF and Tweets.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

Passé, présent, futurs : induction de carrières professionnelles à partir de CV.
Proceedings of the COnférence en Recherche d'Informations et Applications, 2017

Apprentissage de représentation pour la détection de source dans les réseaux sociaux.
Proceedings of the COnférence en Recherche d'Informations et Applications, 2017

LIP6@CLEF2017: Multi-Modal Spatial Role Labeling using Word Embeddings.
Proceedings of the Working Notes of CLEF 2017, 2017

2016
Influence learning for cascade diffusion models: focus on partial orders of infections.
Social Netw. Analys. Mining, 2016

Local search and pseudoinversion: an hybrid approach to neural network training.
Knowl. Inf. Syst., 2016

Collecte ciblée à partir de flux de données en ligne dans les médias sociaux. Une approche de bandit contextuel.
Document Numérique, 2016

Apprentissage de représentations pour la modélisation de processus de diffusion dans les réseaux sociaux.
Document Numérique, 2016

A Novel Multimodal Deep Neural Network Framework for Extending Knowledge Base.
Computación y Sistemas, 2016

Representation Learning for Information Diffusion through Social Networks: an Embedded Cascade Model.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Multilabel Classification on Heterogeneous Graphs with Gaussian Embeddings.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Linear Bandits in Unknown Environments.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Learning Distributed Representations of Users for Source Detection in Online Social Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Smart card in public transportation: Designing a analysis system at the human scale.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Dynamic Data Capture from Social Media Streams: A Contextual Bandit Approach.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

Représentation temporelle des mots : application au clustering de micro-blogs.
Proceedings of the CORIA 2016 - Conférence en Recherche d'Informations et Applications, 2016

Bandit contextuel pour la capture de données temps réel sur les médias sociaux.
Proceedings of the CORIA 2016 - Conférence en Recherche d'Informations et Applications, 2016

Recommandation et analyse de sentiments dans un espace latent textuel.
Proceedings of the CORIA 2016 - Conférence en Recherche d'Informations et Applications, 2016

Apprentissage de représentations probabilistes pour la prédiction de diffusions d'informations sur les réseaux sociaux.
Proceedings of the CORIA 2016 - Conférence en Recherche d'Informations et Applications, 2016

2015
OCReP: An Optimally Conditioned Regularization for pseudoinversion based neural training.
Neural Networks, 2015

Apprentissage en temps réel pour la collecte d'information dans les réseaux sociaux.
Document Numérique, 2015

Knowledge base completion by learning pairwise-interaction differentiated embeddings.
Data Min. Knowl. Discov., 2015

LSHTC: A Benchmark for Large-Scale Text Classification.
CoRR, 2015

An analysis of numerical issues in neural training by pseudoinversion.
CoRR, 2015

An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition.
BMC Bioinform., 2015

Extended Recommendation Framework: Generating the Text of a User Review as a Personalized Summary.
Proceedings of the 2nd Workshop on New Trends on Content-Based Recommender Systems co-located with 9th ACM Conference on Recommender Systems (RecSys 2015), 2015

Latent Trajectory Modeling: A Light and Efficient Way to Introduce Time in Recommender Systems.
Proceedings of the 9th ACM Conference on Recommender Systems, 2015

WhichStreams: A Dynamic Approach for Focused Data Capture from Large Social Media.
Proceedings of the Ninth International Conference on Web and Social Media, 2015

Policies for Contextual Bandit Problems with Count Payoffs.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Extraction d'un vocabulaire de surprise par mélange de filtrage collaboratif et d'analyse de sentiments.
Proceedings of the CORIA 2015 - Conférence en Recherche d'Infomations et Applications, 2015

Polarité des jugements et des interactions pour le filtrage collaboratif et la prédiction de liens sociaux.
Proceedings of the CORIA 2015 - Conférence en Recherche d'Infomations et Applications, 2015

Graph Based Method Approach to the ImageCLEF2015 Task1 - Image Annotation.
Proceedings of the Working Notes of CLEF 2015, 2015

Extracting Diffusion Channels from Real-World Social Data: a Delay-Agnostic Learning of Transmission Probabilities.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

Leveraging Rating Behavior to Predict Negative Social Ties.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014
Learning Information Spread in Content Networks.
Proceedings of the 2nd International Conference on Learning Representations, 2014

Sequentially Generated Instance-Dependent Image Representations for Classification.
Proceedings of the 2nd International Conference on Learning Representations, 2014

Deep Sequential Neural Network.
CoRR, 2014

Learning States Representations in POMDP.
Proceedings of the 2nd International Conference on Learning Representations, 2014

Web-scale classification: web classification in the big data era.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Learning latent representations of nodes for classifying in heterogeneous social networks.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Learning social network embeddings for predicting information diffusion.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

A Latent Representation Model for Sentiment Analysis in Heterogeneous Social Networks.
Proceedings of the Software Engineering and Formal Methods, 2014

Mining Ticketing Logs for Usage Characterization with Nonnegative Matrix Factorization.
Proceedings of the Big Data Analytics in the Social and Ubiquitous Context, 2014

Recommandation par combinaison de filtrage collaboratif et d'analyse de sentiments.
Proceedings of the CORIA 2014, 2014

Filtrage collaboratif et intégration de la polarité des jugements.
Proceedings of the CORIA 2014, 2014

Apprentissage de représentation pour la diffusion d'Information dans les réseaux sociaux.
Proceedings of the CORIA 2014, 2014

Graph Anonymization Using Machine Learning.
Proceedings of the 28th IEEE International Conference on Advanced Information Networking and Applications, 2014

Computational Experience with Pseudoinversion-Based Training of Neural Networks Using Random Projection Matrices.
Proceedings of the Artificial Intelligence: Methodology, Systems, and Applications, 2014

2013
A Cross-Domain Recommendation Model for Cyber-Physical Systems.
IEEE Trans. Emerg. Top. Comput., 2013

Calibration and regret bounds for order-preserving surrogate losses in learning to rank.
Mach. Learn., 2013

A system for the extraction and representation of summary of product characteristics content.
Artif. Intell. Medicine, 2013

Cross-media sentiment classification and application to box-office forecasting.
Proceedings of the Open research Areas in Information Retrieval, 2013

Cross-Domain Recommendation via Cluster-Level Latent Factor Model.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Robust Bloom Filters for Large MultiLabel Classification Tasks.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Multiview semi-supervised ranking for automatic image annotation.
Proceedings of the ACM Multimedia Conference, 2013

Predicting Information Diffusion in Social Networks Using Content and User's Profiles.
Proceedings of the Advances in Information Retrieval, 2013

Latent Factor BlockModel for Modelling Relational Data.
Proceedings of the Advances in Information Retrieval, 2013

Classification de Sentiments Multi-Domaines et Passage à l'Echelle.
Proceedings of the CORIA 2013 - Conférence en Recherche d'Infomations et Applications, 2013

Classification dans les graphes hétérogènes basée sur une représentation latente des noeuds.
Proceedings of the CORIA 2013 - Conférence en Recherche d'Infomations et Applications, 2013

Choosing which message to publish on social networks: a contextual bandit approach.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012
Corpus-Based Structure Mapping of XML Document Corpora: A Reinforcement Learning Based Model.
Proceedings of the Modeling, 2012

Iterative Multi-label Multi-relational Classification Algorithm for complex social networks.
Social Netw. Analys. Mining, 2012

A Learning to Rank framework applied to text-image retrieval.
Multim. Tools Appl., 2012

Sequential approaches for learning datum-wise sparse representations.
Mach. Learn., 2012

Prédiction de liens temporels en intégrant les informations de contenu et de structure.
Ingénierie des Systèmes d Inf., 2012

Apprentissage automatique de la propagation des étiquettes dans les réseaux sociaux multirelationnels.
Document Numérique, 2012

Probabilistic Latent Tensor Factorization Model for Link Pattern Prediction in Multi-relational Networks
CoRR, 2012

Modeling Relational Data via Latent Factor Blockmodel
CoRR, 2012

Predicting information diffusion on social networks with partial knowledge.
Proceedings of the 21st World Wide Web Conference, 2012

Link prediction via latent factor BlockModel.
Proceedings of the 21st World Wide Web Conference, 2012

Ranking with non-random missing ratings: influence of popularity and positivity on evaluation metrics.
Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

Fast Reinforcement Learning with Large Action Sets Using Error-Correcting Output Codes for MDP Factorization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Learning Compact Class Codes for Fast Inference in Large Multi Class Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

"On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking".
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Coping with the Document Frequency Bias in Sentiment Classification.
Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012

Matrix Pseudoinversion for Image Neural Processing.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Probabilistic Latent Tensor Factorization model for link pattern prediction.
Proceedings of the 3rd IEEE International Conference on Network Infrastructure and Digital Content, 2012

Représentations et régularisations pour la classification de sentiments.
Proceedings of the CORIA (Conférence en Recherche d'Infomations et Applications), 2012

Lecture Séquentielle de Documents pour la Classification.
Proceedings of the CORIA (Conférence en Recherche d'Infomations et Applications), 2012

BioASQ: A Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering.
Proceedings of the Information Retrieval and Knowledge Discovery in Biomedical Text, 2012

Learnable Ranking Models for Automatic Text Summarization and Information Retrieval.
Proceedings of the Textual Information Access: Statistical Models, 2012

2011
Datum-Wise Classification: A Sequential Approach to Sparsity.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Learning Scoring Functions with Order-Preserving Losses and Standardized Supervision.
Proceedings of the 28th International Conference on Machine Learning, 2011

Text Classification: A Sequential Reading Approach.
Proceedings of the Advances in Information Retrieval, 2011

The Importance of the Depth for Text-Image Selection Strategy in Learning-To-Rank.
Proceedings of the Advances in Information Retrieval, 2011

Réseau de neurones profond et SVM pour la classification des sentiments.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2011

Apprentissage des schémas de propagation dans les multi-graphes.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2011

Classification and annotation in social corpora using multiple relations.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Temporal link prediction by integrating content and structure information.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Link Pattern Prediction with tensor decomposition in multi-relational networks.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

Extracting Information from Summary of Product Characteristics for Improving Drugs Prescription Safety.
Proceedings of the Artificial Intelligence in Medicine, 2011

2010
Report on INEX 2009.
SIGIR Forum, 2010

Erratum: SGDQN is Less Careful than Expected.
J. Mach. Learn. Res., 2010

Improving document clustering in a learned concept space.
Inf. Process. Manag., 2010

Exploitation du contenu visuel pour améliorer la recherche textuelle d'images en ligne.
Document Numérique, 2010

Apprentissage d'un espace de concepts de mots pour une nouvelle représentation des données textuelles.
Document Numérique, 2010

Éditorial.
Document Numérique, 2010

Preventing adverse drug events by extracting information from drug fact sheets.
Proceedings of the Fourth International Symposium for Semantic Mining in Biomedicine, 2010

Multi-view clustering of multilingual documents.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

A comparison of discriminative classifiers for web news content extraction.
Proceedings of the Recherche d'Information Assistée par Ordinateur, 2010

LIP6 at INEX'10: OWPC for Ad Hoc Track.
Proceedings of the Comparative Evaluation of Focused Retrieval, 2010

A Ranking Based Model for Automatic Image Annotation in a Social Network.
Proceedings of the Fourth International Conference on Weblogs and Social Media, 2010

Document structure meets page layout: loopy random fields for web news content extraction.
Proceedings of the 2010 ACM Symposium on Document Engineering, 2010

Modèles d'Ordonnancement pour l'Annotation Automatique d'Images dans les Réseaux Sociaux.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2010

Apprentissage de fonctions d'ordonnancement par classification de paires ordonnées et pondérées (OWPC).
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2010

UPMC/LIP6 at ImageCLEFannotation 2010.
Proceedings of the CLEF 2010 LABs and Workshops, 2010

Iterative Annotation of Multi-relational Social Networks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2010

2009
Report on INEX 2008.
SIGIR Forum, 2009

Structured prediction with reinforcement learning.
Mach. Learn., 2009

SGD-QN: Careful Quasi-Newton Stochastic Gradient Descent.
J. Mach. Learn. Res., 2009

Simulated Iterative Classification A New Learning Procedure for Graph Labeling.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Overview of the INEX 2009 XML Mining Track: Clustering and Classification of XML Documents.
Proceedings of the Focused Retrieval and Evaluation, 2009

LIP6 at INEX'09: OWPC for Ad Hoc Track.
Proceedings of the Focused Retrieval and Evaluation, 2009

Ranking with ordered weighted pairwise classification.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Probabilistic Multi-classifier by SVM from voting rule to voting features.
Proceedings of the Extraction et gestion des connaissances (EGC'2009), 2009

A self-training method for learning to rank with unlabeled data.
Proceedings of the ESANN 2009, 2009

Exploiting Visual Concepts to Improve Text-Based Image Retrieval.
Proceedings of the Advances in Information Retrieval, 2009

Utilisation de concepts visuels et de la diversité visuelle pour améliorer la recherche d'images.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2009

Comparison of Various AVEIR Visual Concept Detectors with an Index of Carefulness.
Proceedings of the Working Notes for CLEF 2009 Workshop co-located with the 13th European Conference on Digital Libraries (ECDL 2009) , Corfù, Greece, September 30, 2009

Improving Image Annotation in Imbalanced Classification Problems with Ranking SVM.
Proceedings of the Multilingual Information Access Evaluation II. Multimedia Experiments, 2009

UPMC/LIP6 at ImageCLEFannotation2009: Large Scale Visual Concept Detection and Annotation.
Proceedings of the Working Notes for CLEF 2009 Workshop co-located with the 13th European Conference on Digital Libraries (ECDL 2009) , Corfù, Greece, September 30, 2009

Learning to Extract Content from News Webpages.
Proceedings of the 23rd International Conference on Advanced Information Networking and Applications, 2009

2008
Machine Learning for Semi-structured Multimedia Documents: Application to Pornographic Filtering and Thematic Categorization.
Proceedings of the Machine Learning Techniques for Multimedia, 2008

Report on the XML mining track at INEX 2007 categorization and clustering of XML documents.
SIGIR Forum, 2008

Identification of Atrophy Patterns in Alzheimer's Disease Based on SVM Feature Selection and Anatomical Parcellation.
Proceedings of the Medical Imaging and Augmented Reality, 4th International Workshop, 2008

Overview of the INEX 2008 XML Mining Track.
Proceedings of the Advances in Focused Retrieval, 2008

Experimental Evaluation of the Value of Structure: How to Efficiently Exploit Interdependencies in Sequence Labeling.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Clustering en haute dimension par accumulation de clusterings locaux.
Proceedings of the Extraction et gestion des connaissances (EGC'2008), 2008

Applications of Reinforcement Learning to Structured Prediction.
Proceedings of the Recent Advances in Reinforcement Learning, 8th European Workshop, 2008

Efficient Data Clustering by Local Density Approximation.
Proceedings of the ECAI 2008, 2008

Analyse de la robustesse des algorithmes de méta-recherche discriminante.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2008

Une méthode contextuelle d'extension de requête avec des groupements de mots pour le résumé automatique.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2008

Apprentissage de conversion de documents semi-structurés à partir d'exemples.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2008

A Comparative Study of Diversity Methods for Hybrid Text and Image Retrieval Approaches.
Proceedings of the Evaluating Systems for Multilingual and Multimodal Information Access, 2008

Using Visual Concepts and Fast Visual Diversity to Improve Image Retrieval.
Proceedings of the Evaluating Systems for Multilingual and Multimodal Information Access, 2008

Consortium AVEIR at ImageCLEFphoto 2008: on the Fusion of Runs.
Proceedings of the Working Notes for CLEF 2008 Workshop co-located with the 12th European Conference on Digital Libraries (ECDL 2008) , 2008

UPMC/LIP6 at ImageCLEFphoto 2008: on the Exploitation of Visual Concepts (VCDT).
Proceedings of the Working Notes for CLEF 2008 Workshop co-located with the 12th European Conference on Digital Libraries (ECDL 2008) , 2008

UPMC/LIP6 at ImageCLEF's WikipediaMM: An Image-Annotation Model for an Image Search-Engine.
Proceedings of the Working Notes for CLEF 2008 Workshop co-located with the 12th European Conference on Digital Libraries (ECDL 2008) , 2008

An extension of PLSA for document clustering.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2007
Precision recall with user modeling (PRUM): Application to structured information retrieval.
ACM Trans. Inf. Syst., 2007

Report on the XML mining track at INEX 2005 and INEX 2006: categorization and clustering of XML documents.
SIGIR Forum, 2007

Online Handwritten Shape Recognition Using Segmental Hidden Markov Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

From Layout to Semantic: a Reranking Model for Mapping Web Documents to Mediated XML Representations.
Proceedings of the Computer-Assisted Information Retrieval (Recherche d'Information et ses Applications) - RIAO 2007, 8th International Conference, Carnegie Mellon University, Pittsburgh, PA, USA, May 30, 2007

Relaxation Labeling for Selecting and Exploiting Efficiently Non-local Dependencies in Sequence Labeling.
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Flexible Grid-Based Clustering.
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Probabilistic Model for Structured Document Mapping.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

Solving multiclass support vector machines with LaRank.
Proceedings of the Machine Learning, 2007

Learning to Rank for Collaborative Filtering.
Proceedings of the ICEIS 2007, 2007

Ré-ordonnancement pour l'apprentissage de transformations de documents HTML.
Proceedings of the Extraction et gestion des connaissances (EGC'2007), 2007

Sequence Labeling with Reinforcement Learning and Ranking Algorithms.
Proceedings of the Machine Learning: ECML 2007, 2007

Filtrage Collaboratif avec un Algorithme d'Ordonnancement.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2007

2006
The Wikipedia XML corpus.
SIGIR Forum, 2006

Résumé automatique de texte avec un algorithme d'ordonnancement.
Ingénierie des Systèmes d Inf., 2006

A Machine Learning based Approach to Evaluating Retrieval Systems.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2006

Supervised and Semi-supervised Machine Learning Ranking.
Proceedings of the Comparative Evaluation of XML Information Retrieval Systems, 2006

XML Structure Mapping.
Proceedings of the Comparative Evaluation of XML Information Retrieval Systems, 2006

Report on the XML Mining Track at INEX 2005 and INEX 2006.
Proceedings of the Comparative Evaluation of XML Information Retrieval Systems, 2006

A Selective Sampling Strategy for Label Ranking.
Proceedings of the Machine Learning: ECML 2006, 2006

Machine Learning Ranking for Structured Information Retrieval.
Proceedings of the Advances in Information Retrieval, 2006

Modèle probabiliste pour l'extraction de structures dans les documents semistructurés - Application aux documents Web.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2006

Apprentissage statistique pour la constitution des corpus d'évaluation.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2006

Factorisation en matrices non négatives pour le filtrage collaboratif.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2006

Apprentissage d'ordonnancements en recherche d'information structurée.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2006

2005
Semi-supervised learning with an imperfect supervisor.
Knowl. Inf. Syst., 2005

A Bayesian Framework for XML Information Retrieval: Searching and Learning with the INEX Collection.
Inf. Retr., 2005

Generalization error bounds for classifiers trained with interdependent data.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Machine Learning Ranking and INEX'05.
Proceedings of the Advances in XML Information Retrieval and Evaluation, 2005

Automatic learning of domain model for personalized hypermedia applications.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Restructuration automatique de documents dans les corpus semi-structurés hétérogènes.
Proceedings of the Extraction et gestion des connaissances (EGC'2005), 2005

Combinaison de fonctions de préférence par boosting pour la recherche de passages dans les systèmes de question/réponse.
Proceedings of the Extraction et gestion des connaissances (EGC'2005), 2005

Apprentissage d'une hiérarchie de concepts pour la conception de modèles de domaine d'hypermédias.
Proceedings of the Extraction des connaissances : Etat et perspectives (Ateliers de la conférence EGC'2005), 2005

Sélection de modèles par des méthodes à noyaux pour la classification de données séquentielles.
Proceedings of the Extraction et gestion des connaissances (EGC'2005), 2005

Un système d'aide à la navigation dans des hypermédias.
Proceedings of the Extraction et gestion des connaissances (EGC'2005), 2005

Automatic Text Summarization Based on Word-Clusters and Ranking Algorithms.
Proceedings of the Advances in Information Retrieval, 2005

Classification automatique de documents structurés. Application au corpus d'arbres étiquetés de type XML.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2005

Using RankBoost to compare retrieval systems.
Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31, 2005

Learning to summarise XML documents using content and structure.
Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31, 2005

On Effectiveness Measures and Relevance Functions in Ranking INEX Systems.
Proceedings of the Information Retrieval Technology, 2005

2004
Bayesian network model for semi-structured document classification.
Inf. Process. Manag., 2004

Un modèle de mixture de modèles génératifs pour les documents structurés multimédias. Application à la classification de documents XML et HTML.
Document Numérique, 2004

An Algebra for Probabilistic XML Retrieval.
Proceedings of the First Twente Data Management Workshop (TDM 2004) on XML Databases and Information Retrieval, 2004

Learning "Generalization/Specialization" Relations between Concepts - Application for Automatically Building Thematic Document Hierarchies.
Proceedings of the Computer-Assisted Information Retrieval (Recherche d'Information et ses Applications), 2004

Unsupervised Learning with Term Clustering for Thematic Segmentation of Texts.
Proceedings of the Computer-Assisted Information Retrieval (Recherche d'Information et ses Applications), 2004

An Algebra for Structured Queries in Bayesian Networks.
Proceedings of the Advances in XML Information Retrieval, 2004

A generic approach for on-line handwriting recognition.
Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition, 2004

Information Access via Topic Hierarchies and Thematic Annotations from Document Collections.
Proceedings of the Enterprise Information Systems VI, 2004

A Model-Based Approach to Sequence Clustering.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

Apprentissage non-supervisé pour la segmentation automatique de textes.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2004

Apprentissage de Relations entre Concepts - Génération Automatique d'une Structuration Hiérarchique à partir de Corpus.
Proceedings of the COnférence en Recherche d'Infomations et Applications, 2004

2003
An MLP-SVM combination architecture for offline handwritten digit recognition: Reduction of recognition errors by Support Vector Machines rejection mechanisms.
IJDAR, 2003

A Hidden Markov Models combination framework for handwriting recognition.
IJDAR, 2003

Using Structure For Information Extraction In Html Documents.
Proceedings of the Pattern Recognition in Information Systems, 2003

Using Belief Networks and Fisher Kernels for Structured Document Classification.
Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

A Machine Learning Model for Information Retrieval with Structured Documents.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2003

A Belief Networks-Based Generative Model for Structured Documents. An Application to the XML Categorization.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2003

Semi-Supervised Learning with Explicit Misclassification Modeling.
Proceedings of the IJCAI-03, 2003

A Flexible Recognition Engine for Complex On-line Handwritten Character Recognition.
Proceedings of the 7th International Conference on Document Analysis and Recognition (ICDAR 2003), 2003

Classification and Tracking of Hypermedia Navigation Patterns.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

Un modèle statistique pour la classification de documents structurés.
Proceedings of the Extraction et gestion des connaissances (EGC'2003), 2003

Génération automatique d'une structure hiérarchique de concepts et de documents à partir de corpus.
Proceedings of the Extraction et gestion des connaissances (EGC'2003), 2003

Apprentissage de comportements utilisateurs de produits hypermédias.
Proceedings of the Extraction et gestion des connaissances (EGC'2003), 2003

Structured multimedia document classification.
Proceedings of the 2003 ACM Symposium on Document Engineering, 2003

2002
The use of unlabeled data to improve supervised learning for text summarization.
Proceedings of the SIGIR 2002: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2002

Bayesian Networks and INEX.
Proceedings of the First Workshop of the INitiative for the Evaluation of XML Retrieval (INEX), 2002

State Sharing in a Hybrid Neuro-Markovian On-Line Handwriting Recognition System through a Simple Hierarchical Clustering Algorithm.
Proceedings of the 4th IEEE International Conference on Multimodal Interfaces (ICMI 2002), 2002

Data Driven Design of an ANN/HMM System for On-line Unconstrained Handwritten Character Recognition.
Proceedings of the 4th IEEE International Conference on Multimodal Interfaces (ICMI 2002), 2002

Rejection measures for handwriting sentence recognition.
Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition, 2002

Stroke level HMMs for on-line handwriting recognition.
Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition, 2002

Learning Classification with Both Labeled and Unlabeled Data.
Proceedings of the Machine Learning: ECML 2002, 2002

Semi Supervised Logistic Regression.
Proceedings of the 15th Eureopean Conference on Artificial Intelligence, 2002

2001
De l'utilisation d'OBD pour la sélection de variables dans les perceptrons multicouches.
Revue d'Intelligence Artificielle, 2001

Maximum mutual information training for an online neural predictive handwritten word recognition system.
IJDAR, 2001

Characterizing Sequences of User Actions for Access Logs Analysis.
Proceedings of the User Modeling 2001, 8th International Conference, 2001

Automatic Text Summarization Using Unsupervised and Semi-supervised Learning.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2001

Sentence Recognition through Hybrid Neuro-Markovian Modeling.
Proceedings of the 6th International Conference on Document Analysis and Recognition (ICDAR 2001), 2001

Strategies for Combining On-line and Off-line Information in an On-line Handwriting Recognition System.
Proceedings of the 6th International Conference on Document Analysis and Recognition (ICDAR 2001), 2001

An Hybrid MLP-SVM Handwritten Digit Recognizer.
Proceedings of the 6th International Conference on Document Analysis and Recognition (ICDAR 2001), 2001

Learning for Text Summarization Using Labeled and Unlabeled Sentences.
Proceedings of the Artificial Neural Networks, 2001

2000
Learning for Sequence Extraction Tasks.
Proceedings of the Computer-Assisted Information Retrieval (Recherche d'Information et ses Applications), 2000

Multi-Modal Segmental Models for On-Line Handwriting Recognition.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

1999
Practical complexity control in multilayer perceptrons.
Signal Process., 1999

Improved performance in protein secondary structure prediction by inhomogeneous score combination.
Bioinform., 1999

Dictionary Preselection in a Neuro-Markovian Word Recognition System.
Proceedings of the Fifth International Conference on Document Analysis and Recognition, 1999

Sequence Models for Automatic Highlighting and Surface Information Extraction.
Proceedings of the Challenge of Image Retrieval, 1999

1998
Multiple multivariate regression and global sequence optimization: : An application to large-scale models of radiation intensity.
Signal Process., 1998

Twelve Numerical, Symbolic and Hybrid Supervised Classification Methods.
Int. J. Pattern Recognit. Artif. Intell., 1998

Coupled Hierarchical IR and Stochastic Models for Surface Information Extraction.
Proceedings of the 20th Annual BCS-IRSG Colloquium on IR, 1998

1997
Neural and adaptive controllers for a non-minimum phase varying time-delay system.
Artif. Intell. Eng., 1997

Predictive Models for Sequence Modelling, Application to Speech and Character Recognition.
Proceedings of the Adaptive Processing of Sequences and Data Structures, 1997

Distal Learning for Inverse Modeling of Dynamical Systems.
Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1997

Multiple Multivariate Regression and Global Optimization in a Large Scale Thermodynamical Application.
Proceedings of the Artificial Neural Networks, 1997

Optimal Linear Regression on Classifier Outputs.
Proceedings of the Artificial Neural Networks, 1997

Off-Line Cursive Word Recognition with a Hybrid Neural-HMM System.
Proceedings of the Advances in Document Image Analysis, First Brazilian Symposium, 1997

1996
Variable selection with neural networks.
Neurocomputing, 1996

Adaptive discrimination in an HMM-based neural predictive system for on-line word recognition.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

From characters to words: dynamical segmentation and predictive neural networks.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

Diagnosis Tools for Telecommunication Network Traffic Management.
Proceedings of the Artificial Neural Networks, 1996

Combining Statistical Models for Protein Secondary Structure Prediction.
Proceedings of the Artificial Neural Networks, 1996

1995
Neural networks for discrimination and modelization of speakers.
Speech Commun., 1995

Integrating heuristic preferences into a neural understanding system.
Proceedings of the Fourth European Conference on Speech Communication and Technology, 1995

Multi-state predictive neural networks for text-independent speaker recognition.
Proceedings of the Fourth European Conference on Speech Communication and Technology, 1995

A hidden Markov model extension of a neural predictive system for on-line character recognition.
Proceedings of the Third International Conference on Document Analysis and Recognition, 1995

Global discrimination for neural predictive systems based on N-best algorithm.
Proceedings of the 1995 International Conference on Acoustics, 1995

A neural predictive approach for on-line cursive script recognition.
Proceedings of the 1995 International Conference on Acoustics, 1995

1994
Discriminative training for improved neural prediction systems.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994

1993
Prediction and discrimination in neural networks for continuous speech recognition.
Proceedings of the Third European Conference on Speech Communication and Technology, 1993

Neural models for extracting speaker characteristics in speech modelization systems.
Proceedings of the Third European Conference on Speech Communication and Technology, 1993

A discriminative neural prediction system for speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 1993

1992
A speech recognizer optimally combining learning vector quantization, dynamic programming and multi-layer perceptron.
Proceedings of the 1992 IEEE International Conference on Acoustics, 1992

1991
On the relations between discriminant analysis and multilayer perceptrons.
Neural Networks, 1991

On the use of TDNN-extracted features information in talker identification.
Proceedings of the 1991 International Conference on Acoustics, 1991

Validation of neural net architectures on speech recognition tasks.
Proceedings of the 1991 International Conference on Acoustics, 1991

1990
Speech processing and recognition using integrated neurocomputing techniques (Esprit Basic Research Action 3228: SPRINT).
Neurocomputing, 1990

A Framework for the Cooperation of Learning Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 3, 1990

Cooperation of neural nets for robust classification.
Proceedings of the IJCNN 1990, 1990

A connectionist approach for automatic speaker identification.
Proceedings of the 1990 International Conference on Acoustics, 1990

1988
Comparing neural networks and data analysis.
Neural Networks, 1988

Multilayer perceptrons and data analysis.
Proceedings of International Conference on Neural Networks (ICNN'88), 1988


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