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Bibliography

Major publications by the team in recent years
  • 1E. Guichard (editor)

    Mesures de l'internet, Les Canadiens en Europe, 2004, ouvrage collectif suite au Colloque Mesures de l'internet, Nice, France, 12-14 Mai, 2003.
  • 2C. Bach, D. L. Scapin.

    Comparing Inspections and User Testing for the Evaluation of Virtual Environments, in: International Journal of Human-Computer Interaction, 2010, vol. 26, no 8, p. 786-824.

    http://dx.doi.org/10.1080/10447318.2010.487195
  • 3R. Boulet, B. Jouve, F. Rossi, N. Villa.

    Batch kernel SOM and related Laplacian methods for social network analysis, in: Neurocomputing, March 2008, vol. 71, no 7–9, p. 1257–1273.
  • 4S. Caffiau, D. L. Scapin, P. Girard, M. Baron, F. Jambon.

    Increasing the expressive power of task analysis: systematic comparison and empirical assessment of tool-supported task models, in: Interact. Comput., 2010, 10.1016/j.intcom.2010.06.003.
  • 5M. Chavent, F. d. A. de Carvalho, Y. Lechevallier, R. Verde.

    New clustering methods for interval data, in: Computational Statistics, 2006, vol. 21, no 23, p. 211-230.
  • 6S. Chelcea, P. Bertrand, B. Trousse.

    Un Nouvel Algorithme de Classification Ascendante 2-3 Hiérarchique, in: Actes de 14ème Congrès Francophone AFRIF-AFIA de Reconnaissance des Formes et Intelligence Artificielle (RFIA 2004), Centre de Congrès Pierre BAUDIS, Toulouse, France, 28-30 Janvier 2004, vol. 3, p. 1471-1480.

    http://www.laas.fr/rfia2004/actes/ARTICLES/388.pdf
  • 7B. Conan-Guez, F. Rossi, A. El Golli.

    Fast Algorithm and Implementation of Dissimilarity Self-Organizing Maps, in: Neural Networks, August 2006, vol. 19, no 6-7, p. 855–863.

    http://dx.doi.org/10.1016/j.neunet.2006.05.002
  • 8T. Despeyroux.

    Practical Semantic Analysis of Web Sites and Documents, in: The 13th World Wide Web Conference, WWW2004, New York City, USA, 17-22 May 2004.

    http://www-sop.inria.fr/axis/papers/04www/despeyroux-www2004.pdf
  • 9A. Gomes Da Silva.

    Analyse des données évolutives : application aux données d'usage du Web, Université Paris Dauphine - Paris IX, September 2009.

    http://tel.archives-ouvertes.fr/tel-00445501/en/
  • 10G. Hébrail, B. Hugueney, Y. Lechevallier, F. Rossi.

    Exploratory Analysis of Functional Data via Clustering and Optimal Segmentation, in: Neurocomputing / EEG Neurocomputing, Mar 2010, vol. 73, no 7-9, p. 1125-1141.

    http://hal.inria.fr/hal-00515908/en
  • 11A. Marascu, F. Masseglia.

    Atypicity detection in data streams: A self-adjusting approach, in: Intelligent Data Analysis, 2011, vol. 15, no 1, p. 89-105.
  • 12F. Masseglia, P. Poncelet, M. Teisseire, A. Marascu.

    Web Usage Mining: Extracting Unexpected Periods from Web Logs, in: Data Mining and Knowledge Discovery (DMKD) Journal., 2007, DOI 10.1007/s10618-007-0080-z.
  • 13F. Masseglia, D. Tanasa, B. Trousse.

    Web Usage Mining: Sequential Pattern Extraction with a Very Low Support, in: Advanced Web Technologies and Applications: 6th Asia-Pacific Web Conference, APWeb 2004, Hangzhou, China. Proceedings, LNCS, Springer-Verlag, 14-17 April 2004, vol. 3007, p. 513–522.
  • 14F. Rossi, B. Conan-Guez.

    Functional Multi-Layer Perceptron: a Nonlinear Tool for Functional Data Analysis, in: Neural Networks, January 2005, vol. 18, no 1, p. 45-60.

    http://hal.inria.fr/inria-00000599
  • 15E. Smirnova, K. Balog.

    A user-oriented model for expert finding, in: Proceedings of the 33rd European conference on Advances in information retrieval, Berlin, Heidelberg, ECIR, Springer-Verlag, 2011, p. 580–592, Best Research Paper.
  • 16D. Tanasa, B. Trousse.

    Advanced Data Preprocessing for Intersites Web Usage Mining, in: IEEE Intelligent Systems, March-April 2004, vol. 19, no 2, p. 59–65.
  • 17F. d. A. de Carvalho, Y. Lechevallier.

    Partitional clustering algorithms for symbolic interval data based on single adaptive distances, in: Pattern Recognition, 2009, vol. 42, no 7, p. 1223-1236.
Publications of the year

Doctoral Dissertations and Habilitation Theses

  • 18E. Smirnova.

    Networks based Solutions for Expert Finding, University of Nice-Sophia Antipolis, December 2011.
  • 19C. Zhang.

    Mining data streams: clustering and pattern extraction, University of Nice-Sophia Antipolis, October 2011.

Articles in International Peer-Reviewed Journal

  • 20M. Charrad, Y. Lechevallier, M. B. Ahmed.

    Bipartitionnement d'un tableau de contingence, in: Revue des Nouvelles Technologies de l'Information, 2011, vol. A-5, 25 p.
  • 21A. Marascu, F. Masseglia.

    Atypicity detection in data streams: A self-adjusting approach, in: Intelligent Data Analysis, 2011, vol. 15, no 1, p. 89-105.
  • 22B. Saleh, F. Masseglia.

    Discovering frequent behaviors: time is an essential element of the context, in: Knowl. Inf. Syst., 2011, vol. 28, no 2, p. 311-331.
  • 23Francisco de A.T. de Carvalho, Y. Lechevallier, Filipe M. de Melo.

    Partitioning hard clustering algorithms based on multiple dissimilarity matrices, in: Pattern Recognition, 2011, vol. 45, no 1, p. 447-464.

International Conferences with Proceedings

  • 24K. Avrachenkov, N. Litvak, D. Nemirovsky, E. Smirnova, M. Sokol.

    Quick detection of top-k personalized pagerank lists, in: the 8th international conference on Algorithms and models for the web graph WAW 2011, Springer-Verlag, 2011, p. 50–61.
  • 25S. Bringay, N. Béchet, F. Bouillot, P. Poncelet, M. Roche, M. Teisseire.

    Towards an On-Line Analysis of Tweets Processing, in: Database and Expert Systems Applications, DEXA 22, A. Hameurlain, S. W. Liddle, K.-D. Schewe, X. Zhou (editors), Lecture Notes in Computer Science, Springer, 2011, vol. 6861 - 2, p. 154-161.

    http://hal.inria.fr/hal-00636285/en
  • 26M. Csernel, Francisco de A.T. de Carvalho.

    Clustering Contrained Symbolic Data, in: Theory and Application of High-dimensional Complex Data Analysis in Economics and Management Science, Beihang University,Beijing , Chine, 2011.
  • 27E. Decorme, E. Thibault, E. Leang, A. Delclos, P. Torres, B. Trousse, B. Senach, C. Goffart.

    Playing to conserve energy: the ICT-enabled eco-challenge in offices, in: CIB W078 - W102 the International Council for Research and Innovation in Buildng and Construction, Sophia Antipolis, SIGIR, 26-28 october 2011.
  • 28P. Gendre, G. Gallais, L. Ristori, A. Bouedec, B. Senach, B. Trousse.

    Current Trends of Real-Time Multimodal Urban Mobility Information Services, in: ITS Europe, Intelligent Transport Systems and Services, june 2011.
  • 29N. Komninos, H. Schaffers, M. Pallot.

    Developing a Policy Roadmap for Smart Cities and the Future Internet, in: eChallenges 2011 Conference, October 2011.
  • 30M. Le Pouliquen, M. Csernel.

    Betweenness relation orientated by Guttman effect in critical edition, in: 6th International conference on Correspondence Analysis and Related Methods, J. Pagés (editor), 2011.
  • 31M. Leitzelman, B. Trousse.

    Supporting the selection of Open Innovation software tools, in: eChallenges 2011 Conference, October 2011, Aachen, Germany. Published at IEEE Xploree.
  • 32A. Louati, Y. Lechevallier, M.-A. Aufaure.

    Aggregation of Social Networks by Divisive Clustering Method, in: Theory and Application of High-dimensional Complex Data Analysis in Economics and Management Science, Beihang University, Beijing , Chine, 2011.
  • 33A. Louati, R. Soussi, M.-A. Aufaure, H. B. Zghal, Y. Lechevallier.

    Recherche de classes dans des réseaux sociaux, in: Journées de la Société Francophone de Classification, SFC'2011, 2011.
  • 34M. Pallot, B. Trousse, B. Senach, H. Schaffers, N. Komninos.

    Future Internet and Living Lab Research Domain Landscape : Filling the Gap between Technology Push and Application Pull in the context of Smart Cities, in: eChallenges 2011 Conference, October 2011.
  • 35F. Petitjean, F. Masseglia, P. Gançarski.

    Découverte de motifs d'évolutions significatifs dans les séries temporelles d'images satellites, in: French-speaking International Conference "Extraction et gestion des connaissances", EGC'2011, 2011, p. 665-676.
  • 36J. Salminen, S. Konsti-Laakso, M. Pallot, B. Trousse, B. Senach.

    Evaluating user involvment within living labs through the use of a domain landscape, in: eChallenges 2011 Conference, October 2011, Aachen, Germany. Published at IEEE Xploree.
  • 37D. L. Scapin, P. Marie-Dessoude, M. Winckler, C. Detraux.

    Personal Information Systems: User Views and Information Categorization, in: Proc. Centric2011 - 4th. International Conference on Advances in Human-oriented and Personalized Mechanisms, Technologies, and Services, Barcelona, Spain, 2011.
  • 38H. Schaffers, N. Komninos, M. Pallot.

    Smart Cities and the Future Internet: Towards a New Innovation Landscape, Results of the FIREBALL project, in: eChallenges 2011 Conference proceedings, October 2011.
  • 39H. Schaffers, N. Komninos, M. Pallot, B. Trousse, M. Nilsson, A. Oliveira.

    Smart Cities and the Future Internet: Towards Cooperation Frameworks for Open Innovation, in: Future Internet Assembly, 2011, p. 431-446.

    http://dx.doi.org/10.1007/978-3-642-20898-0_31
  • 40H. Schaffers, M. Pallot, N. Komninos.

    Smart Cities Challenges for Future Internet and Living Labs, in: FIA Roadmapping Workshop, March 2011.
  • 41H. Schaffers, A. Sallstrom, M. Pallot, J.-M. Hernandez-Munoz, R. Santoro, B. Trousse.

    Integrating Living Labs with Future Internet Experimental Platforms for Co-creating Services within Smart Cities, in: eChallenges 2011 Conference, October 2011, Aachen, Germany. Published at IEEE Xploree.
  • 42Y. Slimani, A. Moussaoui, Y. Lechevallier, A. Drif.

    A community detection algorithm for Web Usage Mining Systems, in: IEEE International Symposium on Innovation in Information and Communication Technology, ISIICT'2011, S. Tartir (editor), The British Computer Society (BCS), 2011.
  • 44E. Smirnova.

    A model for expert finding in social networks, in: the 34th international ACM SIGIR conference on Research and development in information retrieval, New York, NY, USA, SIGIR, ACM, 2011.
  • 45R. Soussi, A. Louati, M.-A. Aufaure, H. B. Zghal, Y. Lechevallier, H. B. Ghézala.

    Extraction et analyse de réseaux sociaux issus de bases de données relationnelles, in: French-speaking International Conference - Extraction et Gestion des Connaissances, EGC 2011, 2011, p. 371-376.
  • 46E. M. Zemmouri, H. Behja, B. Trousse.

    Intégration des connaissances de domaine dans un processus d’ECD multi-vues, in: the 4th french-speaking conference on Ontologies, Berlin, Heidelberg, JFO'11, Springer-Verlag, 2011.

National Conferences with Proceeding

  • 47S. Bringay, N. Béchet, F. Bouillot, P. Poncelet, M. Roche, M. Teisseire.

    Analyse de gazouillis en ligne, in: Entrepôts de Données et l'Analyse en ligne (EDA), 2011.
  • 48N. Béchet, M.-A. Aufaure, Y. Lechevallier.

    Construction et peuplement de structures hiérarchiques de concepts dans le domaine du e-tourisme., in: Ingénierie des connaissances, IC'2011, 2011, p. 475-490.
  • 49Francisco de A.T. de Carvalho, A. B. S. Dantas, Y. Lechevallier.

    Une adaptation des cartes auto-organisatrices aux tableaux de dissimilarités multiples, in: Journées de la Société Francophone de Classification, SFC'2011, 2011.

Scientific Books (or Scientific Book chapters)

  • 50M. Charrad.

    Analyse croisée des sites Web par des méthodes de bipartitionnement, Editions Universitaires Européennes, 2011.
  • 51A. Da Silva, Y. Lechevallier, R. Seraoui.

    A Clustering Approach to Monitor System Working, in: Learning and Data Science, M. Gettler Summa, L. Bottou, B. Goldfarb, F. Murtagh, C. Pardoux, M. Touati (editors), CRC Computer Science & Data Analysis, Chapman & Hall, 2011, vol. K13059, chap. 10, p. 389-392.
  • 52F. Rossi, Y. Lechevallier.

    Constrained variable clustering and the best basis problem in functional data analysis, in: Classification and Multivariate Analysis for Complex Data Structures, B. Fichet, D. Piccolo, R. Verde, M. Vichi (editors), Studies in Classification, Data Analysis, and Knowledge Organization, Springer Berlin Heidelberg, March 2011, p. 435-444.

    http://hal.archives-ouvertes.fr/hal-00656675/en/

Other Publications

  • 53User Requirements and Architectural Design, May 2011, no Task 2.1.1, Projet ELLIOT 2010-2013.
  • 54Rapid Prototype, May 2011, no Tache 2.2, Projet ELLIOT 2010-2013.
  • 55Specification of the IoT Use Case, March 2011, no Task 4.1, Projet ELLIOT 2010-2013.
  • 56Use Case, December 2011, no Task 4.2.1 (Draft), Projet ELLIOT 2010-2013, Draft version.
  • 57Applications in telecommunications and web, 2011, no Tache 3.4, Projet MIDAS 2008-2010 ANR-07-MDCO-008.
  • 58C. Detraux, D. L. Scapin.

    Document de Spécification Ergonomique, novembre 2011, Deliverable 3.1.1 Project PIMI, INRIA.
  • 59C. Goffart, B. Senach, B. Trousse.

    Protocole d'expérimentation - version finale, november 2011, Pacalabs Ecoffices Déliverable 1.3.
  • 60C. Goffart, B. Trousse.

    Projet Ecoffices, november 2011, Use Age - World Usability Day 2011 Ergonomie, Education et Changement Social.

    http://www.dailymotion.com/video/xmabl0_use-age-wud-2011-02-projet-ecoffices-carole-goffart-et-brigitte-trousse_tech
  • 61Y. Lechevallier, G. Pilot, B. Trousse.

    Bilan de l experimentation, Partie 1 Analyse qualitative) sur l ensemble du projet, décembre 2011, Pacalabs Ecoffices Partie 1 du Déliverable 3.2,4.1 et 5.3.
  • 62Y. Lechevallier, G. Pilot, B. Trousse.

    Bilan de l'expérimentation - Partie 2 Analyses quantitatives sur l'ensemble des périodes, décembre 2011, Pacalabs Ecoffices Partie 1 du Déliverable 3.2,4.1 et 5.3.
  • 63P. Marie-Dessoude, N. Rajsiri, D. L. Scapin.

    Spécifications de l'atelier collaboratif, april 2011, Deliverable 1.8 DGCIS Process2.0, INRIA.
  • 64P. Marie-Dessoude, D. L. Scapin.

    Inspection ergonomique de l'atelier collaboratif "e-Citiz On Demand"), october 2011, Deliverable 4.2 Project Process 2.0, INRIA.
  • 65P. Marie-Dessoude, D. L. Scapin.

    Validation ergonomique de l'atelier MDE (e-Citiz version 6.1.1), july 2011, Deliverable 4.2 ANR MyCitizSpace, INRIA.
  • 66F. Masseglia, B. Trousse.

    Description des scénarios d’utilisation des résumés : analyse de l’usage du portail Web Orange Mobile, june 2011, no WP2 - Tache 2.2, Projet MIDAS 2008-2010.
  • 67F. Masseglia, B. Trousse.

    Description des scénarios d’utilisation des résumés : cas des donnéestrajectoires, june 2011, no WP2 - Tache 2.2, Projet MIDAS 2008-2010.
  • 68M. Pallot, B. Trousse.

    Living Labs for experimenting the Future Internet - Example from Elliot project, june 21 2011, Talk at the Living Lab trcak at ICE conference, Aix La Chapelle.
  • 69M. Pallot, B. Trousse, B. Senach.

    A Tentative Design of a Future Internet Research Domain Landscape, April 2011, Ce document est une première tentative de landscape relatif aux recherches "Internet du Futur". La motivation de ce travail est issue du projet fireball ( CSA FP7) "Smart Cities - Future of internet - Living Labs"..

    http://hal.inria.fr/inria-00612530/en
  • 70D. L. Scapin, P. Marie-Dessoude, M. Winckler, C. Detraux, P. Poizat.

    Users cognitive behavior and preference models, novembre 2011, Deliverable 2.1.2 Project PIMI, INRIA.
  • 71H. Schaffers, A. Sällström, N. Komninos, B. Senach, B. Trousse, M. Pallot, H. Hielkema.

    Landscape and Roadmap for Future of Internet and Smart Cities, January 2011, no Task 2.1, Action Fireball 2010-2012.
  • 72B. Senach, F. Bonacina.

    HOTELREFPACA: Cahier des charges ergonomique et maquette d'Interface Homme-Machine (version confidentielle), April 2011, 85 pages, Pacalabs Hotel Ref Paca.
  • 73B. Senach, F. Bonacina.

    HOTELREFPACA: Cahier des charges ergonomiques et maquette d'interface Homme Machine (version publique), April 2011, 53 pages, Pacalabs Hotel Ref Paca.
  • 74B. Senach, B. Trousse, G. Pilot.

    Critères d’évaluation et Principes généraux pour la spécification des traces, Avril 2011, PREDIT ADEME: TicTac, Délivrable 2.2.
  • 75B. Senach, B. Trousse, G. Pilot.

    Identification du site, choix des scénarios, typologie des usagers, Avril 2011, PREDIT ADEME: TicTac, Délivrable 2.1.
  • 76B. Senach, B. Trousse, G. Pilot.

    Maquette fonctionnelle de l'interface utilisateur, Analyse ergonomique et recommandations pour la spécification du service Mymode, Avril 2011, PREDIT ADEME: TicTac, Délivrable 3.1.1. b.
  • 77B. Senach, B. Trousse, G. Pilot.

    Plan détaillé du programme expérimental, Avril 2011, PREDIT ADEME: TicTac, Délivrable 2.3.
  • 78B. Senach, B. Trousse, G. Pilot.

    Rapport d'étape de la première expérimentation TICTAC, Avril 2011, PREDIT ADEME: TicTac, Délivrable 4.1.
  • 79E. Thibault, C. Goffart, B. Trousse.

    Bilan de communication, Aout 2011, 11 pages, Pacalabs Ecoffices Déliverable 1.5.
  • 80B. Trousse, Y. Lechevallier, B. Senach, C. Goffart, G. Pilot.

    Bilan de l'expérimentation - Synthèse Eveolution des comportements, décembre 2011, Pacalabs Ecoffices Synthèse du Déliverable 3.2,4.1 et 5.3.
  • 81B. Trousse.

    ICT Usage Lab:ECOFFICES Project on energy efficiency in offices and ELLIOT Project on Green Services for air quality monitoring, june 21 2011, Talk at the Living Lab track at ICE conference, Aix La Chapelle.
References in notes
  • 82H.-H. Bock, E. Diday (editors)

    Analysis of Symbolic Data. Exploratory methods for extracting statistical information from complex data, Springer Verlag, 2000.
  • 83S. Caffiau, D. L. Scapin, P. Girard, M. Baron, F. Jambon.

    Increasing the expressive power of task analysis: systematic comparison and empirical assessment of tool-supported task models, in: Interact. Comput., 2010, vol. 22, no 6, p. 569-593, 10.1016/j.intcom.2010.06.003.
  • 84M. Chavent, Y. Lechevallier, O. Briant.

    DIVCLUS-T: A monothetic divisive hierarchical clustering method, in: Computational Statistics and Data Analysis, 2007, vol. 52, p. 687-701.
  • 85S. Chelcea.

    Agglomerative 2-3 Hierarchical Classification: Theoretical and Applicative Study, University of Nice Sophia Antipolis, March 2007.
  • 86B. Conan-Guez, F. Rossi.

    Speeding Up the Dissimilarity Self-Organizing Maps by Branch and Bound, in: Proceedings of 9th International Work-Conference on Artificial Neural Networks (IWANN 2007), San Sebastian (Spain), F. Sandoval, A. Prieto, J. Cabestany, M. Grana (editors), Lecture Notes in Computer Science, June 2007, no 4507, p. 203–210.
  • 87B. Conan-Guez, F. Rossi, A. El Golli.

    Fast Algorithm and Implementation of Dissimilarity Self-Organizing Maps, in: Neural Networks, August 2006, vol. 19, no 6–7, p. 855–863.

    http://hal.inria.fr/inria-00174196
  • 88M. Csernel, Francisco de A.T. de Carvalho.

    The normal symbolic form, in: Symbolic Data Analysis and the SODAS Software, E. Diday, M. Noirhomme-Fraiture (editors), Wiley, 2008, p. 93-108.
  • 89A. Da Silva.

    Analysis of evolving data: application to the Web usage data (in French), University of Paris IX Dauphine and INRIA-France, 2009, PhD Thesis.
  • 90A. Da Silva, Y. Lechevallier.

    Axis Tool for Web Usage Evolving Data Analysis (ATWUEDA), INRIA-France, 2009, AxIS internal document.
  • 91M. E. Fayad, D. C. Schmidt.

    Object-Oriented Application Frameworks, in: Communication of the ACM, 1997, vol. 40, no 10, p. 32-38.
  • 92M. Jaczynski.

    Modèle et plate-forme à objets pour l'indexation des cas par situation comportementale: application à l'assistance à la navigation sur le Web, Université de Nice Sophia-Antipolis, Sophia-Antipolis, December 1998.
  • 93M. Jaczynski, B. Trousse.

    Patrons de conception dans la modélisation d'une plate-forme po ur le raisonnement à partir de cas, in: Revue l'Objet, 1999, vol. 5, no 2, Numéro Spécial sur les patterns orientés objets, D. Rieu et J-P. Giraudon (guest editors).
  • 94R. E. Johnson, B. Foote.

    Designing Reusable Classes, in: Journal of Object-oriented programming, 1988, vol. 1, no 2, p. 22–35.
  • 95A. Marascu.

    Extraction de motifs séquentiels dans les flux de données, University of Nice Sophia Antipolis, 2009, PhD Thesis.
  • 96A. Marascu, F. Masseglia.

    Parameterless outlier detection in data streams, in: ACM Symposium on Applied Computing (SAC), Honolulu, Hawaii, USA, March 9-12, 2009, p. 1491-1495.
  • 97M. E. J. Newman, M. Girvan.

    Finding and evaluating community structure in networks, in: Phys. Rev. E, Feb 2004, vol. 69, 026113 p.

    http://link.aps.org/doi/10.1103/PhysRevE.69.026113
  • 98M. Noirhomme-Fraiture.

    User manual for SODAS 2 Software, FUNDP, Belgique, april 2004, version 1.0.
  • 99F. Petitjean, P. Gançarski, F. Masseglia, G. Forestier.

    Analysing Satellite Image Time Series by Means of Pattern Mining, in: Intelligent Data Engineering and Automated Learning, 11th International Conference (IDEAL'2010), Paisley, UK, September 1-3, 2010, p. 45-52.
  • 100R. Picard.

    Pertinence et valeur du concept - Laboratoire vivant - (Living Lab) en santé et autonomie, Juillet 2011, Ministère de l'économie des finances et de l'industrie, N 2010/46/CGIET/SG.
  • 101F. Rossi, B. Conan-Guez.

    Functional Multi-Layer Perceptron: a Nonlinear Tool for Functional Data Analysis, in: Neural Networks, January 2005, vol. 18, no 1, p. 45–60.

    http://hal.inria.fr/inria-00000599
  • 102F. Rossi, B. Conan-Guez.

    Un modèle neuronal pour la régression et la discrimination sur données fonctionnelles, in: Revue de Statistique Appliquée, 2005, vol. LIII, no 4, p. 5–30.

    http://hal.inria.fr/inria-00001190
  • 103F. Rossi, B. Conan-Guez.

    Theoretical Properties of Projection Based Multilayer Perceptrons with Functional Inputs, in: Neural Processing Letters, February 2006, vol. 23, no 1, p. 55–70.

    http://hal.inria.fr/inria-00001191
  • 104F. Rossi, N. Delannay, B. Conan-Guez, M. Verleysen.

    Representation of Functional Data in Neural Networks, in: Neurocomputing, March 2005, vol. 64, p. 183–210.

    http://hal.inria.fr/inria-00000666
  • 105F. Rossi, A. Hasenfuss, B. Hammer.

    Accelerating Relational Clustering Algorithms With Sparse Prototype Representation, in: Proceedings of the 6th International Workshop on Self-Organizing Maps (WSOM 07), Bielefeld (Germany), September 2007, ISBN: 978-3-00-022473-7.

    http://dx.doi.org/10.2390/biecoll-wsom2007-144
  • 106F. Rossi.

    Model collisions in the dissimilarity SOM, in: Proceedings of XVth European Symposium on Artificial Neural Networks (ESANN 2007), Bruges (Belgium), April 2007, p. 25–30.

    http://apiacoa.org/publications/2007/dsom-collision-esann.pdf
  • 107B. Saleh, F. Masseglia.

    Time Aware Mining of Itemsets, in: 15th IEEE International Symposium on Temporal Representation and Reasoning (TIME'08), 2008, p. 93-100.
  • 108D. Tanasa.

    Web Usage Mining: Contributions to Intersites Logs Preprocessing and Sequential Pattern Extraction with Low Support, University of Nice Sophia Antipolis, june 2005.
  • 109Y. Tian, R. Hankins, J. Patel.

    Efficient aggregation for graph summarization, in: SIGMOD '08, Proceedings of the 2008 ACM SIGMOD international conference on Management of Data, New York, NY, USA, 2008, p. 567–580.
  • 110N. Villa, F. Rossi.

    A comparison between dissimilarity SOM and kernel SOM for clustering the vertices of a graph, in: Proceedings of the 6th International Workshop on Self-Organizing Maps (WSOM 07), Bielefeld (Germany), September 2007, ISBN: 978-3-00-022473-7.

    http://dx.doi.org/10.2390/biecoll-wsom2007-139
  • 111Francisco de A.T. de Carvalho, R.M.C.R. De Souza, M. Chavent, Y. Lechevallier.

    Adaptive Hausdorff distances and dynamic clustering of symbolic interval data, in: Pattern Recognition Letters, February 2006, vol. 27, no 3, p. 167–179.
  • 112Francisco de A.T. de Carvalho, Y. Lechevallier, R. Verde.

    Clustering methods in symbolic data analysis, in: Symbolic Data Analysis and the SODAS Software, E. Diday, M. Noirhomme-Fraiture (editors), Wiley, 2008, p. 181-204.