2016

Recherche d’Information (Massih-Reza Amini, Gaussier Eric), (Eyrolles (2eme édition), ed.), pp. 1-274, 2016.
PAC-Bayesian Theorems for Multiview Learning(Anil Goyal, Emilie Morvant, Pascal Germain, Massih-Reza Amini), 2016. (working paper or preprint)
A Fast Audiovisual Attention Model for Human Detection and Localization on a Companion Robot(Rémi Ratajczak, Denis Pellerin, Quentin Labourey, Catherine Garbay),In The First International Conference on Applications and Systems of Visual Paradigms (VISUAL 2016), Barcelone, Spain, 2016.
Arabic Text Classification Based on Word and Document Embeddings(Abdelkader El Mahdaouy, Gaussier Eric, Saïd El Alaoui Ouatik),Chapter in Advances in Intelligent Systems and Computing ,Springer International Publishing, vol. 533, pp. pp 32-41, 2016.
Generalized k-means based clustering for temporal data under time warp(Saeid Soheily-Khah), PhD thesis, Universite Grenoble Alpes, 2016.
Semantically Enhanced Term Frequency based on Word Embeddings for Arabic Information Retrieval(Abdelkader El Mahdaouy, Saïd El Alaoui Ouatik, Eric Gaussier),In Information Science and Technology (CIST), 2016 Fourth IEEE International Colloquium, Tangier, Morocco, 2016.
Task Composition in Crowdsourcing(Sihem Amer-Yahia, Eric Gaussier, Vincent Leroy, Julien Pilourdault, Ria Mae Borromeo, Motomichi Toyama),In International Conference on Data Science and Advanced Analytics, Montreal, Canada, 2016.
An Approach to the TEL Teaching of Non-technical Skills from the Perspective of an Ill-Defined Problem(Yannick Bourrier, Jambon Francis, Catherine Garbay, Vanda Luengo),In 11th European Conference on Technology Enhanced Learning, EC-TEL 2016,Springer, vol. 9891, Lyon, France, pp. 555-558, 2016.
Asynchronous Distributed Matrix Factorization with Similar User and Item Based Regularization(Bikash Joshi, Franck Iutzeler, Massih-Reza Amini),In 10th ACM Conference on Recommender Systems (RecSys ’16), Boston, United States, 2016.
Streaming-LDA: A Copula-based Approach to Modeling Topic Dependencies in Document Streams(Hesam Amoualian, Marianne Clausel, Eric Gaussier, Massih-Reza Amini),In 22nd ACM SIGKDD Conference Knowledge Discovery and Data Mining, San Francisco, United States, 2016.
Advanced Analysis and Learning on Temporal Data(Ahlame Douzal-Chouakria),
(Ahlame Douzal-Chouakria, José A. Vilar, Pierre-François Marteau, eds.), 2016.
A Comparison of Progressive and Iterative Centroid Estimation Approaches Under Time Warp(Saeid Soheily-Khah, Ahlame Douzal-Chouakria, Eric Gaussier),Chapter in Advanced Analysis and Learning on Temporal Data, vol. 9785, pp. 144-156, 2016.
Théorèmes PAC-Bayésiens pour l’apprentissage multi-vues(Anil Goyal, Emilie Morvant, Pascal Germain, Massih-Reza Amini),In Conférence Francophone sur l’Apprentissage Automatique (CAp), Marseille, France, 2016.
Health Monitoring on Social Media over Time(Sidana Sumit, Shashwat Mishra, Sihem Amer-Yahia, Marianne Clausel, Massih-Reza Amini),In 39th International ACM SIGIR conference on Research and Development in Information Retrieval, Pise, Italy, 2016.
On a Topic Model for Sentences(Georgios Balikas, Massih-Reza Amini, Marianne Clausel),In SIGIR’16 ACM SIGIR conference on Research and Development in Information Retrieval, Pise, Italy, 2016.
An Interaction Centred Approach to the teaching of Non-technical Skills in a Virtual Environment(Yannick Bourrier, Francis Jambon, Catherine Garbay, Vanda Luengo),Technical report, Laboratoire d’Informatique de Paris 6 ; Laboratoire d’Informatique de Grenoble, 2016.
An Evidential Filter for Indoor Navigation of a Mobile Robot in Dynamic Environment(Quentin Labourey, Olivier Aycard, Denis Pellerin, Michele Rombaut, Catherine Garbay),In International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU),Eindhoven, Netherlands, 2016.
Institution artificielle située pour une aide à la régulation de la gestion de crises
(Lauren Thévin, Catherine Garbay, Olivier Boissier, Maiquel De Brito, Jomi Fred Hübner),In revue d’intelligence artificielle (RIA), Lavoisier, vol. 30, no. 1-2, pp. 185-209, 2016.
Data Science: an international training program at master level(Massih-Reza Amini, Jean-Baptiste Durand, Olivier Gaudoin, Eric Gaussier, Anatoli Iouditski),In Statistique et Enseignement (ISSN 2108-6745),Société Française de Statistique, vol. 7, no. 1, pp. 95-102, 2016.
Learning Taxonomy Adaptation in Large-scale Classification(Rohit Babbar, Ioannis Partalas, Gaussier Eric, Massih-Reza Amini, Cécile Amblard),In Journal of Machine Learning Research, Journal of Machine Learning Research, vol. 17, no. 98, pp. 1-37, 2016.
Evaluating Plans and Human Response Using a Normative Multi-Agent System(Lauren Thévin, Julie Dugdale, Olivier Boissier, Catherine Garbay),In The 13th International Conference on Information Systems for Crisis Response and Management, Rio de Janeiro, Brazil, 2016.
SpecificSearch : Un outil de recommandation automatique pour la veille d’information sur le web(Christophe Brouard, Christian Pomot), In 34ème Congrès INFORSID, Grenoble, France, 2016.
Analyzing multi-agent approaches for the design of advanced interactive and collaborative systems(Fabien Badeig, Emmanuel Adam, René Mandiau, Catherine Garbay),In JAISE – Journal of Ambient Intelligence and Smart Environments,IOS Press, vol. 8, no. 3, pp. 325-346, 2016.
Generalized k-means-based clustering for temporal data under weighted and kernel time warp(Saeid Soheily-Khah, Ahlame Douzal-Chouakria, Eric Gaussier),In Pattern Recognition Letters, vol. 75, 2016.
Supporting Flexible Regulation of Crisis Management by means of Situated Artificial Institution, Frontiers of Information Technology & Electronic Engineering(Maiquel De Brito, Lauren Thévin, Catherine Garbay, Olivier Boissier, Jomi Fred Hübner),In Frontiers of Information Technology & Electronic Engineering (Frontiers of IT & EE),Springer, vol. 17, no. 4, pp. 309-324, 2016.
Multi-label, Multi-class Classification Using Polylingual Embeddings(Georgios Balikas, Massih-Reza Amini), In 38th European Conference on Information Retrieval ECIR 2016,Springer, vol. 9626, Padoue, Italy, 2016.
Efficient local search for L$\_1$ and L$\_2$ binary matrix factorization(Hamid Mirisaee, Eric Gaussier, Alexandre Termier),In Intelligent Data Analysis,IOS Press, vol. 20, pp. 783 – 807, 2016.
A Multi-modal Metric Learning Framework for Time Series kNN Classification(Cao-Tri Do, Ahlame Douzal-Chouakria, Sylvain Marié, Michèle Rombaut),Chapter in Advanced Analysis and Learning on Temporal Data, pp. 131-143, 2016.

2015

Entropy-Based Concentration Inequalities for Dependent Variables (Liva Ralaivola, Massih-Reza Amini), In International Conference on Machine Learning, Lille, France, 2015.
Results of the BioASQ tasks of the Question Answering Lab at CLEF 2015 (Georgios Balikas, Aris Kosmopoulos, Anastasia Krithara, Georgios Paliouras, Ioannis Kakadiaris), In CLEF-2015, Toulouse, France, 2015.
Improving Backfilling by using Machine Learning to predict Running Times (Eric Gaussier, David Glesser, Valentin Reis, Denis Trystram), In SuperComputing 2015, Austin, TX, United States, 2015.
Algorithmic Robustness for Semi-Supervised ($\epsilon$, $\gamma$, $\\tau$ )-Good Metric Learning (Nicolae Irina, Marc Sebban, Amaury Habrard, Eric Gaussier, Massih-Reza Amini), In International Conference on Neural Information Processing ICONIP, Istanbul, Turkey, pp. 10, 2015.
Supervised topic classification for modeling a hierarchical conference structure (Mikhail Kuznetsovv, Marianne Clausel, Massih-Reza Amini, Eric Gaussier, Vadim Strijov), In 22nd International Conference on Neural Information Processing (ICONIP 2015), Istanbul, Turkey, 2015.
Learning with Partially Labeled and Interdependent Data (Massih-Reza Amini, Nicolas Usunier), (Springer, ed.), Springer, 2015.
Selecting Representative Instances from Datasets (Hamid Mirisaee, Ahlame Chouakria Douzal, Alexandre Termier), In IEEE International Conference on Data Science and Advanced Analytics (DSAA 2015), Paris, France, 2015.
Apprentissage Machine: de la théorie à la pratique (Massih-Reza Amini), , Eyrolles, 2015.
Querying Temporal Drifts at Multiple Granularities (Sofia Kleisarchaki, Sihem Amer-Yahia, Ahlame Douzal-Chouakria, Vassilis Christophides), In CIKM 2015 , Melbourne, Australia, 2015.
An Exploratory Analysis of Multiple Multivariate Time Series (Lynne Billard, Ahlame Douzal-Chouakria, Yaser Seyed), In ECML-PKDD 2015 workshop on Advanced Analytics and Learning on Temporal Data, Porto, Portugal, 2015.
Temporal and Frequential Metric Learning for Time Series kNN Classification (Cao-Tri Do, Ahlame Douzal-Chouakria, Sylvain Marié, Michèle Rombaut), In ECML-PKDD 2015 workshop on Advanced Analytics and Learning on Temporal Data, Porto, Portugal, 2015.
Multiple Metric Learning for large margin kNN Classification of time series (Cao-Tri Do, Ahlame Douzal-Chouakria, Sylvain Marié, Michèle Rombaut), In EUSIPCO 2015 , Nice, France, 2015.
Time series distance-based methods for non-intrusive load monitoring in residential buildings (Kaustav Basu, Vincent Debusschere, Ahlame Douzal-Chouakria, Seddik Bacha), In Energy and Buildings, vol. 96, pp. 453-482, Elsevier, 2015.
Building Representative Composite Items (Vincent Leroy, Sihem Amer-Yahia, Eric Gaussier, Hamid Mirisaee), In Conference on Information and Knowledge Management (CIKM) 2015, Melbourne, Australia, 2015.
Efficient Model Selection for Regularized Classification by Exploiting Unlabeled Data (Georgios Balikas, Ioannis Partalas, Eric Gaussier, Rohit Babbar, Massih-Reza Amini), In Fourteenth International Symposium on Intelligent Data Analysis (IDA 2015), Saint-Etienne, France, 2015.
On Binary Reduction of Large-scale Multiclass Classification Problems (Bikash Joshi, Massih-Reza Amini, Ioannis Partalas, Liva Ralaivola, Nicolas Usunier, Eric Gaussier), In Fourteenth International Symposium on Intelligent Data Analysis (IDA 2015), Saint-Etienne, France, 2015.
Study of Heuristic IR Constraints Under Function Discovery Framework (Parantapa Goswami, Eric Gaussier, Massih-Reza Amini), In ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR 2015), Northampton, Massachusetts, United States, 2015.
Language-independent Query Representation for IR Model Parameter Estimation on Unlabeled Collections (Parantapa Goswami, Massih-Reza Amini, Eric Gaussier), In ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR 2015), Northampton, Massachusetts, United States, 2015.
Generating recit from sensor data: evaluation of a task model for story planning and preliminary experiments with GPS data (Belén A. Baez Miranda, Sybille Caffiau, Catherine Garbay, François Portet), In 15th European Natural Language Generation Workshop (ENLG), Brighton, United Kingdom, 2015.
Progressive and Iterative Approaches for Time Series Averaging (Saeid Soheily-Khah, Ahlame Douzal-Chouakria, Eric Gaussier),
In ECML-PKDD 2015 workshop on Advanced Analytics and Learning on Temporal Data, Porto, Portugal, 2015.
Joint Semi-supervised Similarity Learning for Linear Classification (Nicolae Irina, Gaussier Eric, Amaury Habrard, Marc Sebban), In ECML-PKDD 2015, Porto, Portugal, 2015.
Transfer Learning for IR Model Parameter Tuning (Anil Goyal, Georgios Balikas, Parantapa Goswami, Massih-Reza Amini, Eric Gaussier), In Conférence sur l’Apprentissage Automatique (CAp 2015), Lille, France, 2015.
Learning language-independent sentence representations for multi-lingual, multi-document summarization (Georgios Balikas, Massih-Reza Amini), In Conférence sur l’Apprentissage Automatique (CAp 2015), Lille, France, 2015.
Sparsification of Linear Models for Large-Scale Text Classification (Simon Moura, Ioannis Partalas, Massih-Reza Amini), In Conférence sur l’APprentissage automatique (CAp 2015), Lille, France, 2015.
Multiview self-learning (Ali Fakeri-Tabrizi, Massih-Reza Amini, Goutte Cyril, Nicolas Usunier), In Neurocomputing, Elsevier, vol. 155, pp. 117-127, 2015.
À la recherche des paramètres des modèles de RI (Parantapa Goswami, Massih-Reza Amini, Eric Gaussier), In CORIA 2015 – Conférence en Recherche d’Infomations et Applications – 12th French Information Retrieval Conference, Paris, France, pp. 173-187, 2015.
Institution artificielle située pour une aide à la régulation dans le cadre de la gestion de crises (Maiquel De Brito, Lauren Thévin, Catherine Garbay, Olivier Boissier, Jomi Hübner), In 23es Journées Francophones sur les Systèmes Multi-Agents (JFSMA’15) Cépaduès, Rennes, France, pp.133-142, 2015.
CORIA 2015 – Conférence en Recherche d’Infomations et Applications – 12th French Information Retrieval Conference (Gaussier Eric, Mathias Géry), (ARIA 2015, ed.), Paris, France, 2015.
Towards a computational generation of récit: evaluating the perception of the récit plan (Belén A. Baez Miranda, Sybille Caffiau, Catherine Garbay, François Portet), In 1st international Workshop on Data to Text Generation (D2T), Ediburgh, United Kingdom, 2015.
À la recherche des paramètres des modèles de RI (Parantapa Goswami, Eric Gaussier, Massih-Reza Amini), In COnférence en Recherche d’Information et Applications (CORIA 2015), Paris, France, 2015.
Improved Local Search for Binary Matrix Factorization (Hamid Mirisaee, Eric Gaussier, Alexandre Termier), In Twenty-Ninth AAAI Conference on Artificial Intelligence, Austin, United States, pp. 1198-1204, 2015.
Sound classification in indoor environment thanks to belief functions (Quentin Labourey, Denis Pellerin, Michele Rombaut, Olivier Aycard, Catherine Garbay), In European Signal Processing Conference 2015 (EUSICOP), Nice, France, 2015.
Institution artificielle située pour une aide à la régulation dans le cadre de la gestion de crises : Environnements socio-techniques (Maiquel De Brito, Thevin Lauren, Catherine Garbay, Olivier Boissier, Jomi Fred Hübner), In 13th International Conference, PAAMS Springer, The PAAMS Collection, 9086, Salamanca, Spain, pp 267-270, 2015.
Situated Regulation on a Crisis Management Collaboration Platform (Maiquel De Brito, Thevin Lauren, Catherine Garbay, Olivier Boissier, Jomi Fred Hübner), In 13th International Conference, PAAMS Springer, The PAAMS Collection, 9086, Salamanca, Spain, pp 66-79, 2015.
Un Système Multi-Agent normatif hybride pour l’interaction mixte : application à la gestion de crises (Lauren Thévin, Fabien Badeig, Julie Dugdale, Olivier Boissier, Catherine Garbay), In Revue des Sciences et Technologies de l’Information – Série RIA : Revue d’Intelligence Artificielle, Lavoisier, vol. 29, no. 3-4, pp. 453-482, 2015.
Analyzing multi-agent approaches for the design of advanced interactive and collaborative systems (Fabien Badeig, Emmanuel ADAM, René Mandiau, Catherine Garbay), In Journal of ambient intelligence and smart environments, 2015.

2014

Apprentissage d’ordonnancement et influence de l’ambiguïté pour la prédiction d’activité sur les réseaux sociaux (François Kawala, Eric Gaussier, Ahlame Douzal-Chouakria, Eustache Diemert), Coria’2014, Nancy, France, France. pp.1-15, 2014.
Rendre tangible des normes de collaboration par un système multi-agent normatif (Lauren Thévin, Fabien Badeig, Julie Dugdale, Olivier Boissier, Catherine Garbay), 12èmes Rencontres des Jeunes Chercheurs en Intelligence Artificielle (RJCIA), Rouen, pp.1-6, 2014.
Optimiser l’évaluation du contexte dans une simulation multi-agent (Flavien Balbo, Mahdi Zargayouna, Fabien Badeig), JFSMA 2014. Systèmes Multi-Agents. Principe de Parcimonie, Loriol-sur-Drôme, France. Cepadues, pp 107-116, 2014.
Big data, le cas des systèmes d’information (Josiane Mothe, Yoann Pitarch, Éric Gaussier), Ingénierie des Systèmes d’Information, Lavoisier, 19 (3), pp.9-48, 2014.
Pricing of Goods with Bandwagon Properties : The Curse of Coordination (Mirta B. Gordon, Jean-Pierre Nadal, Denis Phan, Viktoriya Semeshenko), F. Abergel et al. Econophysics of Agent-Based Models, Springer International Publishing, pp.229-232, New Economic Windows, 2014.
Un système multi-agent normatif pour la collaboration et l’interaction mixte (Lauren Thévin, Fabien Badeig, Julie Dugdale, Olivier Boissier, Catherine Garbay), 18èmes Journées Francophones des Systèmes Multi-Agents (JFSMA), Loriol-sur-Drôme, France. pp.1-10, 2014.
Optimizing Context Computation for Multiagent Simulations (Flavien Balbo, Mahdi Zargayouna, Fabien Badeig), International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Aug 2014, Varsovie, Poland. IEEE Vol. 3, pp 111 – 118 Web Intelligence (WI) and Intelligent Agent Technologies (IAT), IEEE/WIC/ACM International Joint Conferences on (Volume:3 ), 2014.
Evaluation measures for hierarchical classification: a unified view and novel approaches (Aris Kosmopoulos, Ioannis Partalas, Eric Gaussier, Georgios Paliouras, Ion Androutsopoulos), Data Mining and Knowledge Discovery, Springer Verlag (Germany), pp.1-46., 2014.
Exploring the Space of IR Functions (Parantapa Goswami, Simon Moura, Gaussier Eric, Massih-Reza Amini, Francis Maes), European Conference on Information Retrieval (ECIR), Amsterdam, Netherlands. pp.372-384, 2014.
Itemset Approximation Using Constrained Binary Matrix Factorization (Hamid Mirisaee, Eric Gaussier, Alexandre Termier), Conference on Data Science and Advanced Analytics (DSAA),Shanghai, China, China. pp.1-7, 2014.
On Power Law Distributions in Large-scale Taxonomies (Rohit Babbar, Cornelia Metzig, Ioannis Partalas, Eric Gaussier, Massih-Reza Amini), SIGKDD Explor. Newsl., 2014, 16 (1), pp.47-56, 2014.
Transfer Learning with Probabilistic Mapping Selection) (Anestis Fachantidis, Ioannis Partalas, Matthew Taylor, Ioannis Vlahavas), Adaptive Behavior, SAGE Publications (UK and US), pp.25, 2014.
A model for scaling in firms’ size and growth rate distributions (Cornelia Metzig, Mirta B. Gordon), Physica A: Statistical Mechanics and its Applications, Elsevier, 2014, 398, pp.264-279, 2014.
Re-ranking Approach to Classification in Large-scale Power-law Distributed Category Systems (Rohit Babbar, Ioannis Partalas, Eric Gaussier, Massih-Reza Amini), Proceedings of the 37th International ACM SIGIR Conference on Research & Development in Information Retrieval, 2014.
Object Perception for Intelligent Vehicle Applications: A Multi-Sensor Fusion Approach (R. Omar Chavez-Garcia, Trung Dung Vu, Olivier Aycard), In IEEE – Intelligent Vehicles Symposium (IV), 2014.
Fusion at Detection Level for Frontal Object Perception (R. Omar Chavez-Garcia, Trung Dung Vu, Olivier Aycard), In IEEE – Intelligent Vehicles Symposium (IV), 2014.
Task based model for récit generation from sensor data: an early experiment (Belén A. Baez Miranda, Sybille Caffiau, Catherine Garbay, François Portet), In 5th International Workshop on Computational Models of Narrative, 2014.
Online Detection of Topic Change in Social Posts (Sofia Kleisarchaki, Vassilis Christophides, Sihem Amer-Yahia, Ahlame Douzal-Chouakria), In BigData Innovators Gathering, 2014.
Case study: Sentencing violent juvenile offenders in color blind France: does ethnicity matter? (Sebastian Roché, Mirta B. Gordon, Marie-Aude Depuiset), Chapter in The Oxford handbook of ethnicity, crime, and immigration (Sandra M. Bucerius, Michael Tonry, eds.), 2014.
Domain-dependent and Observer-dependent Follow-up of Human Activity : A Normative Multi-Agent Approach (Benoît Vettier, Catherine Garbay), In Proceedings of the 6th International Conference on Agents and Artificial Intelligence (ICAART 2014), Volume 2 – Agents, 2014.
Abductive Agents for Human Activity Monitoring (Benoît Vettier, Catherine Garbay), In International Journal on Artificial Intelligence Tools, pp.1-34, 2014.
Audiovisual data fusion for successive speakers tracking(Quentin Labourey, Olivier Aycard, Denis Pellerin, Michèle Rombaut), In VISIGRAPP, the 9th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications – VISAPP 2014.
Supporting distant human collaboration under tangible environments : A normative multiagent approach (Fabien Badeig, Catherine Garbay), In Proceedings of the 6th International Conference on Agents and Artificial Intelligence (ICAART 2014), Volume 2 – Agents, 2014.
Are minorities over-represented in crime? Twenty years of data in Is’ere (France) (Mirta B. Gordon, Sebastian Roché, Marie-Aude Depuiset), Chapter in Crime: International Perspectives, Socioeconomic Factors and Psychological Implications (Michael Harry Pearson, ed.), Nova Books, pp. 1-24, 2014.

2013

Results of the First BioASQ Workshop (Ioannis Partalas, Éric Gaussier, Axel-Cyrille Ngonga Ngomo), In BioASQ@CLEF, pp. 1-8, 2013.
Estimation du paramètre de collection des modèles d’information pour la RI (Parantapa Goswami, Gaussier Eric), In 10ème Conférence en Recherche d’Infomations et Applications, pp.201-216, 2013.
A Theoretical Analysis of Pseudo-Relevance Feedback Models (Stéphane Clinchant, Éric Gaussier), In International Conference on the Theory of Information Retrieval, 2013.
Fusion Framework for Moving-Object Classification (Ricardo Omar Chavez-Garcia, Trung-Dung Vu, Olivier Aycard, Fabio Tango), In Information Fusion (FUSION), 2013 16th International Conference on, 2013.
Les dendro-matrices\~: une alternative aux dendrogrammes pour visualiser les résultats d’une classification ascendante hiérarchique (Renaud Blanch, Rémy Dautriche, Gilles Bisson), 2013.
Multi-Operators Based Hierarchical Clustering (Gilles Bisson), In In proceedings of the European Conference on Data Analysis, 2013.
Alternative Visualization Methods to Explore Larger Dendrograms (Gilles Bisson, Renaud Blanch), In In proceedings of the European Conference on Data Analysis, 2013.
Perceiving and interpreting human activity: a normative MAS (Fabien Badeig, Benoît Vettier, Catherine Garbay), In 11th International Conference on Naturalistic Decision Making (NDM13) (Hervé Chaudet, Liliane Pellegrin, Nathalie Bonnardel, eds.), 2013.
Maximum-Margin Framework for Training Data Synchronization in Large-Scale Hierarchical Classification (Rohit Babbar, Ioannis Partalas, Eric Gaussier, Massih-Reza Amini), Chapter in (Minho Lee, Akira Hirose, Zeng-Guang Hou, RheeMan Kil, eds.), pp.336-343, 2013.
Comparative Classifier Evaluation for Web-scale Taxonomies using Power Law (Massih-Reza Amini, Rohit Babbar, Eric Gaussier, Ioannis Partalas), In The Semantic Web: ESWC 2013 Satellite Events, 2013.
Case study: Sentencing Violent Juvenile Offenders in A Color Blind Country: does ethnicity matter in France? (Roché Sebastian, Mirta B. B. Gordon, Depuiset Marie-Aude), Chapter in The handbook of ethnicity, crime, and immigration (Sandra M. Bucerius, Michael Tonry, eds.), HECI, pp. 1-34, 2013.
On Flat versus Hierarchical Classification in Large-Scale Taxonomies (R. Babbar, I. Partalas, E. Gaussier, M.-R. Amini), In Advances in Neural Information Processing Systems, NIPS’13, Lake Tahoe, USA, December 5-10, 2013.
Entanglement between Demand and Supply in Markets with Bandwagon Goods (Mirta B. Gordon, Jean-Pierre Nadal, Denis Phan, Viktoriya Semeshenko), In Journal of Statistical Physics, volume 151, pp. 494-522, 2013.
Fusion Framework for Moving-Object Classification (Ricardo Omar Chavez-Garcia, Trung-Dung Vu, Olivier Aycard, Fabio Tango), In Information Fusion (FUSION), 2013 16th International Conference on, pp. 1159-1166, 2013.
Towards a Framework for Semantic Exploration of Frequent Patterns (Behrooz Omidvar Tehrani, Sihem Amer-Yahia, Alexandre Termier, Aurélie Bertaux, Éric Gaussier, Marie-Christine Rousset), In Proceedings of the 3rd International Workshop on Information Management for Mobile Applications (IMMoA) (Thierry Delot, Sandra Geisler, Sergio Ilarri, Christoph Quix, eds.), CEUR-WS, volume 1075, pp. 7-14, 2013.
Recherche d’Information – applications, modèles et algorithmes (M.-R. Amini, E. Gaussier), (Eyrolles, ed.), Eyrolles, pp. 1-233, 2013.
Etude de la Maximisation de l’Influence dans les Réseaux Sociaux (C. Lagnier, E. Gaussier), In Actes de la Conférence sur les Modèles et l′Analyse des Réseaux : Approches Mathématiques et Informatique (MARAMI), pp. 32, 2013.
Predicting Information Diffusion in Social Networks using Content and User’s Profiles (C. Lagnier, L. Denoyer, E. Gaussier, P. Gallinari), In ECIR’13 Proceedings of the 35th European conference on Advances in Information Retrieval, pp. p74-85, 2013.
Learning Multiple Temporal Matching for Time Series Classification (C. Frambourg, A. Douzal-Chouakria, E. Gaussier), In Advances in Intelligent Data Analysis, IDA’13, London, UK, October 17-19, pp. 198-209, 2013.
New temporal matching strategies for time series discrimination (C. Frambourg, A. Douzal-Chouakria, E. Gaussier), In European Conference on Data Analysis, ECDA’13, Luxembourg, July, 2013.
Prédictions d’activité dans les réseaux sociaux en ligne (F. Kawala, A. Douzal-Chouakria, E. Gaussier, E. Dimert), In Actes de la Conférence sur les Modèles et l′Analyse des Réseaux : Approches Mathématiques et Informatique (MARAMI), pp. 16, 2013.
Transferring knowledge with source selection to learn IR functions on unlabeled collections (P. Goswami, M.-R. Amini, E. Gaussier), In CIKM 2013, pp. 2315-2320, 2013.
Estimation of the Collection Parameter of Information Models for IR (P. Goswami, E. Gaussier), In Advances in Information Retrieval – 35th European Conference on IR Research, ECIR 2013, Moscow, Russia, March 24-27, 2013. Proceedings, volume 7814, pp. 459-470, 2013.
Multiview Semi-Supervised Ranking for Automatic Image Annotation (A. Fakeri-Tabrizi, M.-R. Amini, P. Gallinari), In ACM Multimedia Conference, MM ’13, Barcelona, Spain, October 21-25, 2013, pp. 513-516, 2013.
A Study of Association Measures and their Combination for Arabic MWT Extraction (A. El Mahdaouy, S. El Alaoui Ouatik, E. Gaussier), In Proceedings 10th International Conference on Terminology and Artificial Intelligence, pp. 45-52, 2013.
Comparaison du modèle vectoriel et de la pondération tf*idf associée avec une méthode de propagation d’activation (C. Brouard), In Actes de la dixième COnférence en Recherche d’Information et Applications, pp. 217-226, 2013.

2012


HDR: Contribution à l’analyse de données temporelles
(A. Douzal-Chouakria), Habilitation à Diriger des Recherches, Université Joseph Fourier, Novembre, 2012.
A Multi-Hypothesis Monitoring Architecture: Application to Ambulatory Physiology (B. Vettier, L. Amate, C. Garbay), In STAIRS 2012 – Proceedings of the Sixth Starting AI Researchers’ Symposium (Marc Toussaint Kristian Kersting, ed.), IOS Press, volume 241, pp. 348-359, 2012.
Visual graph modeling for scene recognition and mobile robot localization (T.-T. Pham, P. Mulhem, L. Maisonnasse, E. Gaussier, J.-H. Lim), In Multimedia Tools and Applications, volume 60, pp. 419-441, 2012.
Adaptive Classifier Selection in Large-Scale Hierarchical Classification (I. Partalas, R. Babbar, E. Gaussier, C. Amblard), In Neural Information Processing – Proceedings of the 19th International Conference (ICONIP), Part III (Zhigang Zeng Chuandong Li Chi Sing Leung Tingwen Huang, ed.), Springer Berlin, volume 7665, pp. 612-619, 2012.
Comment définir un noyau semi-défini positif sur les graphes? (C. Metzig, G. Bisson, C. Amblard, M. B. Gordon), In Actes de la Conférence Francophone sur l’Apprentissage Automatique – CAp 2012 (Laurent Bougrain, ed.), pp. 223-237, 2012.
Modèles d’information pour la recherche multilingue (B. Li, E. Gaussier), In Actes de la 9e COnférence en Recherche d’Information et Applications (CORIA) (Véronique Eglin Nicolas Ragot Mathias Géry Michel Beigbeder, ed.), pp. 9-24, 2012.
An Information-Based Cross-Language Information Retrieval Model (B. Li, E. Gaussier), In Advances in Information Retrieval (Arjen P. de Vries Hugo Zaragoza B. Barla Cambazoglu Vanessa Murdock Ronny Lempel Ricardo Baeza-Yates, Fabrizio Silvestri, eds.), Springer, volume 7224, pp. 281-292, 2012.
Modéliser l’utilisateur pour la diffusion de l’information dans les réseaux sociaux (C. Lagnier, E. Gaussier, F. Kawala), In Ingénierie des Systèmes d’Information, volume 17, pp. 1-22, 2012.
Crime and punishment: Does it pay to punish? (J. R. Iglesias, V. Semeshenko, E. M. Schneider, M. B. Gordon), In Physica A: Statistical Mechanics and its Applications, volume 391, pp. 3942-3950, 2012.
Modèles centrés utilisateurs pour la diffusion d’information dans les réseaux sociaux (E. Gaussier), In MARAMI 2012 – Conférence sur les Modèles et l’Analyse des Réseaux : Approches Mathématiques et Informatiques, 2012.
Textual Information Access: Statistical Models (E. Gaussier, F. Yvon), John Wiley & Sons, pp. 448, 2012.
Supporting Collaborative Work in Socio-Physical Environments: A Normative Approach (C. Garbay, F. Badeig, J. Caelen), In From Research to Practice in the Design of Cooperative Systems: Results and Open Challenges – Proceedings of the 10th International Conference on the Design of Cooperative Systems (Cédric Masclet Maria Antonietta Grasso Jean-François Boujut Parina Hassanaly Julie Dugdale, ed.), Springer London, pp. 213-228, 2012.
Normative multi-agent approach to support collaborative work in distributed tangible environments (C. Garbay, F. Badeig, J. Caelen), In CSCW ’12 Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work Companion, ACM, pp. 83-86, 2012.
Sequential physiological analysis of daily-life recordings (J. Fontecave-Jallon, P. Calabrese, B. Vettier, C. Garbay, P. Baconnier), Fundamental and Clinical Pharmacology, Wiley-Blackwell, 2012, 26, pp.123-137, 2012.
Adaptive split test for multivariate time series classification trees (A. Douzal-Chouakria, C. Amblard), In Actes de la Conférence Francophone sur l’Apprentissage Automatique, pp. 16, 2012.
Classification trees for time series (A. Douzal-Chouakria, C. Amblard), In Pattern Recognition, volume 45, pp. 1076-1091, 2012.
Probabilistic Models for Information Retrieval (S. Clinchant, E. Gaussier), Chapter in Textual Information Access: Statistical Models (François Yvon Eric Gaussier, ed.), John Wiley & Sons, Part I.1, 2012.
Frontal Object Perception Using Radar and Mono-Vision (O. Chavez-Garcia, J. Burlet, T.-D. Vu, O. Aycard), In 2012 IEEE Intelligent Vehicles Symposium (IV), IEEE Conference Publications, pp. 159-164, 2012.
Document Classification by Computing an Echo in a Very Simple Neural Network (C. Brouard), In Proceedings of the 24th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), pp. 735-741, 2012.
Co-clustering of Multi-View Datasets: a Parallelizable Approach (G. Bisson, C. Grimal), In Proceedings of the IEEE International Conference on Data Mining (ICDM), pp. 9, 2012.
Stacked Trees: a New Hybrid Visualization Method (G. Bisson, R. Blanch), In Proceedings of the 11th International Working Conference on Advanced Visual Interfaces (AVI) (Stefano Levialdi Maurizio Tucci Genny Tortora, ed.), ACM, pp. 709-712, 2012.
Calcul de co-similarités sur des collections de matrices (G. Bisson, C. Grimal), In Actes de la conférence de la Société Francophone de Classification (SFC), pp. 4p., 2012.
Une architecture parallélisable pour la co-classification de vues multiples (G. Bisson, C. Grimal), In Actes de la conférence sur les Modèles et l’Analyse des Réseaux : Approches Mathématiques et Informatiques (MARAMI 2012), pp. 9p., 2012.
Apprentissage multi-vue de co-similarités pour la classification (G. Bisson, C. Grimal), In Actes de la Conférence Francophone sur l’Apprentissage Automatique – CAp 2012 (Laurent Bougrain, ed.), pp. 175-190, 2012.
An Architecture to Efficiently Learn Co-Similarities from Multi-View Datasets (G. Bisson, C. Grimal), In Neural Information Processing (Z. Zeng C. Li C.S. Leung T. Huang, ed.), Springer, volume 7663, pp. 184-193, 2012.
Improving Visualization of Large Hierarchical Clustering (G. Bisson, R. Blanch), In Proceedings of the 2012 16th International Conference on Information Visualisation (IV), IEEE Conference Publications, pp. 220-228, 2012.
Improving Moving Objects Tracking Using Road Model for Laser Data (Q. Baig, O. Aycard), In 2012 IEEE Intelligent Vehicles Symposium (IV), IEEE Conference Publications, pp. 790-795, 2012.
Normative Multi-agent Approach for Socio-physical Computing – An Application to Distributed Tangible Interaction (F. Badeig, C. Garbay, V. Valls), In Proceedings of the 4th International Conference on Agents and Artificial Intelligence, ICAART 2012 (Joaquim Filipe, Ana L. N. Fred, eds.), SciTePress, volume 2, pp. 309-312, 2012.
On Empirical Tradeoffs in Large Scale Hierarchical Classification (R. Babbar, I. Partalas, E. Gaussier, C. Amblard), In Proceedings of the 21st ACM International Conference on Information and Knowledge Management (CIKM), pp. 4p., 2012.
Detection, classification and tracking of moving objects in a 3D environment (A. Azim, O. Aycard), In 2012 IEEE Intelligent Vehicles Symposium, IEEE Conference Publications, pp. 802-807, 2012.
Logistic Regression and Text Classification (S. Aseervatham, E. Gaussier, A. Antoniadis, M. Burlet, Y. Denneulin), Chapter in Textual Information Access: Statistical Models (François Yvon Eric Gaussier, ed.), John Wiley & Sons, pp. Part II.3, 2012.

2011

3D Mapping of Outdoor Environment Using Clustering Techniques (M. Yguel, O. Aycard), In ICTAI ’11 Proceedings of the IEEE International Conference on Tools with Artificial Intelligence, IEEE Computer Society, pp. 403-408, 2011.
Clustering Libraries of Compounds into Families: Asymmetry-Based Similarity Measure to Categorize Small Molecules (S. Wieczorek, S. ACI, G. Bisson, M. B. Gordon, L. Lafanechere, E. Maréchal, S. Roy), Chapter in Bioinformatics – Computational Biology and Modeling (N.S. Yang, ed.), InTech, pp. 229-244, 2011.
Managing Multiple Hypotheses with Agents to Handle Incomplete and Uncertain Data (B. Vettier, L. Amate, C. Garbay, J. Fontecave-Jallon, P. Baconnier), In Proceedings of the workshop on Uncertainty Reasoning and Multi-Agent Systems for Sensor Networks, pp. 12p., 2011.
MDLChunker: A MDL-Based Cognitive Model of Inductive Learning (V. Robinet, B. Lemaire, M. B. Gordon), In Cognitive Science, volume 35, pp. 1352-1389, 2011.
Apport des données thématiques dans les systèmes de recommandation : hybridation et démarrage à froid (F. Meyer, E. Gaussier, F. Clérot, J. Schluth), In EGC 2011 – Actes de la 11ème Conférence Internationale Francophone sur l’Extraction et la Gestion des Connaissances (EGC) (Gilles Venturini, Djamel A. Zighed, ed.), Hermann, volume RNTI-E-20, pp. 215-220, 2011.
Modéliser l’utilisateur pour la diffusion de l’information dans les réseaux sociaux (C. Lagnier, E. Gaussier, F. Kawala), In Actes de la Conférence sur les Modèles et l′Analyse des Réseaux : Approches Mathématiques et Informatique (MARAMI), pp. 12p., 2011.
Un Modèle de Diffusion de l’Information dans les Réseaux Sociaux (C. Lagnier, E. Gaussier), In Revue des Nouvelles Technologies de l’Information (RNTI – AAFD 2011), volume RNTI-A-5, pp. 49-64, 2011.
Un cadre général pour les mesures de co-similarité (C. Grimal, G. Bisson), In Actes des 18èmes rencontres de la Société Francophone de Classification (SFC), pp. 141-144, 2011.
Using a co-similarity approach on a large scale text categorization task (C. Grimal, G. Bisson), In Actes de la Conférence sur les Modèles et l′Analyse des Réseaux : Approches Mathématiques et Informatique (MARAMI), pp. 16p., 2011.
Amélioration de la co-similarité pour la classification de documents (C. Grimal, G. Bisson), In Actes de la Conférence Francophone d’Apprentissage (CAp 2011), Publibook, pp. 199-215, 2011.
Similarity learning with a collection of matrices and tensors (C. Grimal, G. Bisson), In Proceedings of the Joint Conference of the German Classification Society (GfKl), pp. 82, 2011.
Models of information diffusion in social networks (E. Gaussier), In
SoICT ’11 – Proceedings of the Second Symposium on Information and Communication Technology (Dinh Khang Tran Thang Huynh Quyet, ed.)
, ACM, pp. 2-2, 2011.
Modèles statistiques pour l’accès à l’information textuelle (E. Gaussier, F. Yvon), HERMÈS / LAVOISIER, pp. 482, 2011.
Introduction (C. Garbay, D. Kayser), Chapter in Informatique et sciences cognitives : Influences ou confluence ? (Daniel Kayser Catherine Garbay, ed.), OPHRYS / MSH, pp. 11-19, 2011.
Informatique et sciences cognitives : Influences ou confluence ? (C. Garbay, D. Kayser), OPHRYS / MSH, pp. 190, 2011.
Apprentissage de couplages pour la discrimination de séries temporelles (C. Frambourg, A. Douzal-Chouakria, E. Gaussier, J. Demongeot), In Actes de la Conférence Francophone d’Apprentissage(CAp), pp. 151-166, 2011.
Learning time series dissimilarities (A. Douzal-Chouakria, C. Frambourg, E. Gaussier, J. Demongeot), In Proceedings of the Joint Conference of the German Classification Society (GfKl’11), pp. 54, 2011.
Principal Component Analysis for Interval-Valued Observations (A. Douzal-Chouakria, L. Billard, E. Diday), In Statistical Analysis and Data Mining, volume 4, Issue 2, pp. 229-246, 2011, Wiley.
Un modèle génératif pour la comparaison de métriques en classification de profils d ‘expression de gènes (A. Diallo, A. Douzal-Chouakria, F. Giroud), In Actes de la Conférence Francophone d’Apprentissage(CAp), pp. 135-150, 2011.
A Document Frequency Constraint for Pseudo-Relevance Feedback Models (S. Clinchant, E. Gaussier), In Actes de la COnférence en Recherche d’Information et Applications (CORIA), pp. 73-88, 2011.
Modèles probabilistes pour la recherche d’information (S. Clinchant, E. Gaussier), Chapter in Modèles statistiques pour l’accès à l’information textuelle (François Yvon Eric Gaussier, ed.), HERMÈS / LAVOISIER, pp. 27-64, 2011.
Do IR models satisfy the TDC Retrieval Constraint? (S. Clinchant, E. Gaussier), In SIGIR ’11 – Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval, ACM, pp. 1155-1156, 2011.
Is document frequency important for PRF? (S. Clinchant, E. Gaussier), In ICTIR’11 – Proceedings of the Third International Conference on the Theory Information Retrieval (Giambattista Amati, Fabio Crestani, eds.), Springer-Verlag, pp. 89-100, 2011.
Retrieval Constraints and Word Frequency Distributions – A Log-logistic Model for IR (S. Clinchant, E. Gaussier), In Information Retrieval, volume 14, pp. 5-25, 2011.
Echo at the LSHTC Pascal Challenge 2 (C. Brouard), In ECML PKDD 2011 – Proceedings of the European Conference On Machine Learning and Principles and Practice of Knowledge Discovery in Databases, George Paliouras, Eric Gaussier, Aris Kosmopoulos, Ion Androutsopoulos, Thierry Artières, Patrick Gallinari, pp. 49-57, 2011.
Clustering Comparable Corpora For Bilingual Lexicon Extraction (L. Bo, E. Gaussier, A. N. Aizawa), In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, pp. 473-478, 2011.
Degré de comparabilité, extraction lexicale bilingue et recherche d’information interlingue (L. Bo, E. Gaussier, E. Morin, A. Hazem), In Actes de la 18e conférence sur le Traitement Automatique des Langues Naturelles (TALN) (Violaine Prince Mathieu Lafourcade, ed.), LIRMM Montpellier, volume 1, pp. 211-222, 2011.
Machine learning and screening data (G. Bisson), Chapter in Chemogenomics and Chemical Genetics: A User’s Introduction for Biologists, Chemists and Informaticians (Eric Maréchal; Sylvaine Roy; Laurence Lafanechère, ed.), Springer, pp. 197-210, 2011.
Fusion Between Laser and Stereo Vision Data For Moving Objects Tracking In Intersection Like Scenario (Q. Baig, O. Aycard, T.-D. Vu, T. Fraichard), In IV’2011 – IEEE Intelligent Vehicles Symposium, pp. 362-367, 2011.
A generic architecture for dynamic outdoor environment (O. Aycard, T.-D. Vu, Q. Baig, T. Fraichard), In ICTAI – IEEE 23rd International Conference on Tools with Artificial Intelligence, pp. 585-590, 2011.
Régression logistique et catégorisation de textes (S. Aseervatham, E. Gaussier, A. Antoniadis, M. Burlet, Y. Denneulin), Chapter in Modèles statistiques pour l’accès à l’information textuelle (François Yvon Eric Gaussier, ed.), HERMÈS / LAVOISIER, pp. 97-122, 2011.
A sparse version of the ridge logistic regression for large-scale text categorization (S. Aseervatham, A. Antoniadis, E. Gaussier, M. Burlet, Y. Denneulin), In Pattern Recognition Letters, volume 32, pp. 101-106, 2011.
Probabilistic model definition for physiological state monitoring (L. Amate, F. Forbes, J. Fontecave-Jallon, B. Vettier, C. Garbay), In IEEE Statistical Signal Processing Workshop (SSP), pp. 457-460, 2011.
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