Bibliography

Major publications by the team in recent years

1C. 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, n^o 8, p. 786-824.

http://dx.doi.org/10.1080/10447318.2010.487195
2S. 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.
3S. 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.
4A. 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.
5F. d. A. De Carvalho, Y. Lechevallier.

Partitional clustering algorithms for symbolic interval data based on single adaptive distances, in: Pattern Recognition, 2009, vol. 42, n^o 7, p. 1223-1236.
6Francisco de A.T. De Carvalho, Y. Lechevallier, F. M. de Melo.

Partitioning hard clustering algorithms based on multiple dissimilarity matrices, in: Pattern Recognition, 2012, vol. 45, n^o 1, p. 447-464, article-based publishing, article avalaible in 2011.
7T. 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
8G. 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, n^o 7-9, p. 1125-1141.

http://hal.inria.fr/hal-00515908/en
9A. Marascu, F. Masseglia.

Atypicity Detection in Data Streams: a Self-adjusting Approach, in: Intelligent Data Analysis, 2011, p. 89-105.

http://hal.inria.fr/inria-00461263
10F. 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.
11F. 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.
12M. Pallot, B. Trousse, B. Senach, D. L. Scapin.

Living Lab Research Landscape: From User Centred Design and User Experience towards User Cocreation, in: First European Summer School "Living Labs", Paris, France, Inria (ICT Usage Lab), Userlab, EsoceNet, Universcience, August 2010.

http://hal.inria.fr/inria-00612632
13F. Rossi, B. Conan-Guez.

Functional Multi-Layer Perceptron: a Nonlinear Tool for Functional Data Analysis, in: Neural Networks, January 2005, vol. 18, n^o 1, p. 45-60.

http://hal.inria.fr/inria-00000599
14E. 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.
15D. Tanasa, B. Trousse.

Advanced Data Preprocessing for Intersites Web Usage Mining, in: IEEE Intelligent Systems, March-April 2004, vol. 19, n^o 2, p. 59–65.

Publications of the year

Articles in International Peer-Reviewed Journals

16A. Ciampi, A. Dyachenko, A. González-Marcos, Y. Lechevallier.

Two-Way Classification of a Data Table with Non Negative Entries: The Role of the $^{2}$ Distance and Correspondence Analysis, in: Communications in Statistics - Simulation and Computation, 2012, vol. 41, n^o 7, p. 1006-1022.
17Francisco de A.T. De Carvalho, Y. Lechevallier, F. M. de Melo.

Partitioning hard clustering algorithms based on multiple dissimilarity matrices, in: Pattern Recognition, 2012, vol. 45, n^o 1, p. 447-464, article-based publishing, article avalaible in 2011.
18R. Kessler, N. Béchet, M. Roche, J.-M. Torres-Moreno, M. El-Bèze.

A hybrid approach to managing job offers and candidates, in: Information Processing and Management, April 2012, vol. In press, 12 p. [ DOI : 10.1016/j.ipm.2012.03.002 ]

http://hal.inria.fr/lirmm-00693181
19E. M. Zemmouri, H. Behja, A. Marzak, B. Trousse.

Ontology-Based Knowledge Model for Multi-View KDD Process, in: lnternational Journal of Mobile Computing and Multimedia Communications (IJMCMC], 2012, vol. 4, n^o 3, p. 21-33. [ DOI : 10.4018/jmcmc.2012070102 ]

http://hal.inria.fr/hal-00769786

International Conferences with Proceedings

20N. Béchet, M.-A. Aufaure, Y. Lechevallier.

Construction et peuplement de structures hiérarchiques de concepts dans le domaine du e-tourisme, in: IC 2011, 22èmes Journées francophones d'Ingénierie des Connaissances, Chambéry, France, May 2012, p. 475-490.

http://hal.inria.fr/hal-00746719
21N. Béchet, M. Csernel.

Comparing Sanskrit Texts for Critical Editions: the sequences move problem, in: 13th Internationlal Conference on Intelligent Text Processing and Computational Linguistics, Indian Institute of Technology Delhi, New Delhi, India, March 2012.
22R. Decorme, A. Zarli, B. Trousse, B. Senach.

Improving energy awareness and use in office buildings: the ICT-enabled ECOFFICES challenge, in: ICCCBE 2012 International Conference on Computing in Civiland Building, Indian Institute of Technology Delhi, New Delhi, India, 2012.
23T. Despeyroux, Y. Lechevallier, F. D. A. De Carvahlo, F. De Melo.

Un algorithme de classification automatique pour des données relationnelles multi-vues, in: EGC 2012 - Extraction et Gestion des Connaissances 2012, Bordeaux, France, Y. Lechevallier, G. Melançon, B. Pinaud (editors), Revue des Nouvelles Technologies de l'Information, Hermann, January 2012, vol. E.23, p. 125-136.

http://hal.inria.fr/hal-00697118
24C. Detraux, D. L. Scapin.

User Modifications as Usability Evaluation Cues for a Personal Information Space, in: EEE2012, International Conference on e-Learning, e-Business, Enterprise Information Systems, and e-Government, Las Vegas, USA, July 2012.
25A.-L. Negri, B. Trousse, B. Senach.

Ideation of IoT services with citizen: coupling and AloHa! methods, in: Serdev 2012 - Service Design and Innovation Conference, Helsinki, Finlande, 2012.

http://hal.inria.fr/hal-00769733
26M. Pallot, B. Trousse, B. Senach.

A Tentative Design of a Future Internet Networking Domain Landscape, in: Future Internet Assembly, Aalborg, Danemark, 2012, p. 237-249. [ DOI : 10.1007/978-3-642-30241-1_21 ]

http://hal.inria.fr/hal-00769723
27Sérgio R. de M. Queiroz, Francisco de A.T. De Carvalho, Y. Lechevallier.

Multicriteria clustering with weighted Tchebycheff distances for relational data, in: The 2012 International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia, June 10-15 2012, p. 1-6.
28D. L. Scapin, B. Senach, B. Trousse, M. Pallot.

User Experience: Buzzword or New Paradigm?, in: ACHI 2012, The Fifth International Conference on Advances in Computer-Human Interactions, Valencia, Espagne, 2012.

http://hal.inria.fr/hal-00769619
29Y. Slimani, A. Moussaoui, Y. Lechevallier, A. Drif.

Identification de communautés d'usage du web depuis un graphe issu des fichiers d'accès, in: Extraction et gestion des connaissances (EGC'2012), Actes, Bordeaux, France, janvier 31 2012, p. 525-530.
30E. M. Zemmouri, H. Behja, B. Ouhbi, B. Trousse, A. Marzak, Y. Benghabrit.

Goal-Driven Approach to Model Interaction between Viewpoints of a Multi-View KDD process, in: 4th Conference on next generation networks & Services, Faro, Portugal, 2012.

http://hal.inria.fr/hal-00769796
31C. Zhang, F. Masseglia, X. Zhang.

Discovering Highly Informative Feature Set Over High Dimensions, in: ICTAI'2012: 24th International Conference on Tools with Artificial Intelligence, Greece, IEEE, November 2012, 1 p.

http://hal.inria.fr/lirmm-00753807
32C. Zhang, F. Masseglia, X. Zhang.

Modeling and Clustering Users with Evolving Profiles in Usage Streams, in: TIME'2012: 19th International Symposium on Temporal Representation and Reasoning, United Kingdom, September 2012, p. 133-140.

http://hal.inria.fr/lirmm-00753791

National Conferences with Proceeding

33M. Csernel, Francisco de A.T. De Carvalho.

Classification de données Symboliques en présence de règles Le cas des variables "histogrammes", in: XIX èmes Rencontres de la Société Francophone de Classification, Marseille, France, October 2012.
34Francisco de A.T. De Carvalho, Y. Lechevallier, G. Pilot, B. Trousse.

Classification de courbes, application aux économies d'énergie, in: SFC 2012 - XIX èmes Rencontres de la Société Francophone de Classification, Marseille, France, 2012.
35C. Detraux, D. L. Scapin.

La modification utilisateur comme indice ergonomique évaluatif d’un Espace Personnel d’Information, in: Ergo'IHM 2012 - Nouvelels Intercations, créactivité et usages, Biarritz, France, October 2012, AFIHM in cooperation with ACM and SIGHCI.
36M. Le Pouliquen, M. Csernel.

Reconstruction de l'arbre de la filiation de manuscrits par une méthode de super-arbre, in: SFC 2012 -XIX èmes Rencontres de la Société Francophone de Classification, Marseille, France, Octobre 2012.

Scientific Books (or Scientific Book chapters)

37C. Dal Sasso Freitas, M. Pimenta, D. L. Scapin.

User Centered Evaluation of InfoVis Techniques: Making the Connection HCI-InfoVis Explicit, in: Human Centric Visualization Theories, methodologies and case studies, Springer USA, 2012, chap. 9.
38E. Dubois, D. L. Scapin, S. Charfi, C. Bortolaso.

Usability Recommendations for Mixed Interactive Systems: extraction and integration in a design process, in: Human factors in augmented reality environments, Springer USA, 2012, chap. 8.
39Y. Lechevallier, G. Melançon, B. Pinaud.

Extraction et Gestion des Connaissances, EGC2012, Revue des Nouvelles Technologies de l'Information, Hermann, January 2012, vol. RNTI-E-23, 636 p.

http://hal.inria.fr/hal-00719459
40F. Rossi, Y. Lechevallier.

Constrained variable clustering and the best basis problem in functional data analysis, in: Classification and Multivariate Analysis for Complex Data Structure, B. Fichet, D. Piccolo, R. Verde, M. Vichi (editors), Springer, 2012, p. 435-446.
41D. L. Scapin.

Préface, in: Ergonomie des Logiciels. Recueil de Normes Ergonomie des postes et lieux de travail, AFNOR, 2012.

Internal Reports

42F. Bonacina, B. Senach, B. Trousse.

Analyse exploratoire des données issues de la campagne de référencement (Sondage hôteliers): Analyse Qualitative, Inria, april 2012, Pacalabs Hote-Ref-Paca.
43F. Bonacina, B. Senach, B. Trousse.

Conclusions, validations, recommandations concernant la plateforme HOTEL-REF-PACA, Inria, april 2012, Pacalabs Hote-Ref-Paca.
44F. Bonacina, B. Senach, B. Trousse.

nalyse exploratoire des données issues de la campagne de référencement (Eye Tracking): Analyse Qualitative, Inria, april 2012, Pacalabs Hote-Ref-Paca.
45F. Bonacina, B. Senach, B. Trousse.

Rapport final d'éxecution de l'opération, Inria, april 2012, Pacalabs Hote-Ref-Paca.
46F. Cattaneo, M. Tiemann, B. Trousse, X. Augros, Y. Lechevallier, M. Pallot, M. Kalverkamp.

D2.4 Final version of the ELLIOT Platform, POLY, UR, Inria, UNOTT, 2012, FP7 STREP ELLIOT.

http://www.elliot-project.eu/sites/default/files/D23public.pdf
47F. Cattaneo, M. Tiemann, B. Trousse, X. Augros, M. Pallot, M. Kalverkamp.

User Requirements and Architectural Design (final version), POLY, UR, Inria, UNOTT, 2012, FP7 STREP ELLIOT.

http://www.elliot-project.eu/sites/default/files/D23public.pdf
48C. Detraux, D. L. Scapin.

Evaluation Ergonomique Initiale du prototype V0.1 version Mobile, Inria, 2012, ANR-PIMI.
49C. Detraux, D. L. Scapin.

Evaluation Ergonomique Initiale du prototype V0.1 version PC, Inria, 2012, ANR-PIMI.
50D. Fuschi, A. Badii, M. Kalverkamp, B. Trousse, A.-L. Negri, S. Vicini.

D4.3.1 Report on IOT Living Labs Continuous Exploration and Evaluation (initial version), UoR, POLY, BIBA, HSR, Inria, CENG, FING, POLY, VULOG, february 2012, FP7 STREP ELLIOT.

http://www.elliot-project.eu/sites/default/files/D431public.pdf
51C. Goffart, G. Pilot, B. Senach, B. Trousse, M.-H. Chapel, P. Gendre, D. Emsellem, G. Gallais, W. Ghariani.

Rapport final, Inria & MHC Conseil & CETE Méditerranée & Vulog, april 2012, PREDIT ADEME Tic Tac.
52C. Goffart, G. Pilot, B. Senach, B. Trousse.

Bilan de la deuxième expérimentation, Inria & Vulog, april 2012, PREDIT ADEME Tic Tac.
53C. Goffart, G. Pilot, B. Senach, B. Trousse.

Bilan de la deuxième expérimentation, Inria & Vulog, april 2012, PREDIT ADEME Tic Tac.
54E. Hassan, Y. Lechevallier, B. Trousse, F. Bonacina.

Analyse exploratoire des données issues de la campagne de référencement : analyse quantitative, Inria, april 2012, Pacalabs Hotel-Ref-Paca.
55B. Hauge, S. Bellini, C. Durugbo, D. Fuschi, M. Kalverkamp, M. Leitzelman, B. Trousse, S. Vinci.

D3.3 Serious Gaming Approach to support Usability of IOT oriented User CoCreation, UoR, BIBA, HSR, Inria, 2012, FP7 STREP ELLIOT.

http://www.elliot-project.eu/sites/default/files/D33public.pdf
56M. Pallot, M. Kalverkamp, S. Bellini, S. Vinci, A.-L. Negri, B. Trousse.

D4.2.2 Report on IoT Living Labs methodologies and Tools, UNOTT, BIBA, HSR, Inria,CENG, FING, POLY, VULOG, 2012, FP7 STREP ELLIOT, PP restricted.
57G. Pilot, B. Senach, B. Trousse, D. Emsellem, G. Gallais, W. Ghariani.

Maquette fonctionnelle de l'interface utilisateur – Spécification des traces du SI MyMode, Inria & Vulog, april 2012, PREDIT ADEME Tic Tac (non public).
58H. Schaffers, M. Corriou, P. Francois, Y. Savary, E. Posio, M. Pallot, B. Trousse, B. Senach, C. Tiffon, K. Viljanen, A. Poïkola, P. Koponen, E. Almirall, A. Sällström, N. Komninos, D. Carter.

D1.2 Common Assets identification and Characterisation, Inria, 2012, 143 p, FP7 Fireball coordination Action.

http://hal.inria.fr/hal-00769707
59H. Schaffers, N. Komninos, M. Pallot, M. Aguas, E. Almirall, T. Bakici, J. Barroca, D. Carter, M. Corriou, J. Fernadez, H. Hielkema, A. Kivilehto, M. Nilsson, A. Oliveira, E. Posio, A. Sällström, R. Santoro, B. Senach, I. Torres, P. Tsarchopoulos, B. Trousse, P. Turkama, J. Lopez Ventura.

FIREBALL white paper on Smart Cities as Innovation Ecosystems sustained by the Future Internet, Inria, 2012, FP7 Fireball coordination Action.

http://hal.inria.fr/hal-00769635
60H. Schaffers, N. Komninos, P. Tsarchopoulos, M. Pallot, B. Trousse, E. Posio, J. Fernadez, H. Hielkema, P. Hongisto, E. Almirall, T. Bakici, J. Lopez Ventura, D. Carter.

D2.1 Landscape and Roadmap of Future Internet and Smart Cities, Inria, 2012, 222 p, FP7 Fireball coordination Action.

http://hal.inria.fr/hal-00769715
61E. Thibault, R. Decorme, W. Barneau, F. Debos, C. M. Lacroix, A. Eyries, P. Rasse, P. Cadel, B. Trousse, F. Bonacina, M. Tatibouet.

D5. Rapport Final du projet Ecofamilies, CSTB-Ekenos-I3M-ICT Usage Lab, 2012, 36 p, Pacalabs Ecofamilies.
62E. Thibault, R. Decorme, B. Senach, B. Trousse, C. Goffart, P. Torres.

Rapport final du projet ECOFFICES, Inria, 2012, 31 p, Pacalabs Ecoffices.

http://hal.inria.fr/hal-00769624
63M. Tiemann, A. Badii, M. Kalverkamp, B. Trousse, A.-L. Negri, C. Tiffon, S. Vicini.

D4.3.2 Report on IOT Living Labs Continuous Exploration and Evaluation (interim version), UoR, BIBA, HSR, Inria, FING, VULOG, 2012, FP7 STREP ELLIOT.

http://www.elliot-project.eu/sites/default/files/D432public.pdf
64B. Trousse, B. Senach, Y. Lechevallier, G. Pilot, C. Goffart.

Bilan de l'expérimentation. Synthèse des analyses, Inria, 2012.

Other Publications

65A. Da Silva, Y. Lechevallier, F. Rossi, Francisco de A.T. De Carvalho.

Clustering Dynamic Web Usage Data, 2012, Computing Research Repository (CoRR).
66F. Rossi, Y. Lechevallier.

Constrained variable clustering and the best basis problem in functional data analysis, 2012, Computing Research Repository (CoRR).
67B. Senach, A.-L. Negri.

Changer les comportements - Pistes et outils pour la mobilité durable, september 2012, Talk at Forum GreenCode 2012, 21 Septembre 2012, ADEME -Sophia Antipolis, France.

http://www-sop.inria.fr/axis/papers/2012/GreenCode_2012
68B. Senach.

De la souris en bois à l'invasion des puces, september 2012, Talk at World Usability Day 2012, Sophia Antipolis.

http://www-sop.inria.fr/axis/papers/2012/WUD2012_Edition_30112012.pdf
69E. Thibault, R. Decorme, W. Barneau, F. Debos, C. M. Lacroix, A. Eyries, P. Rasse, P. Cadel, B. Trousse, F. Bonacina, M. Tatibouet.

E. Thibault (editor), ECOFAMILIES project - Summary and main outcomes, month 2012, CSTB-EKENOS-I3M-ICT Usage Lab, Pacalabs Ecofamilies.
70B. Trousse, B. Senach.

Plateforme FocusLab du CPER Telius: bilan, décembre 2012, internal document pour la region PACA, 31 pages.

References in notes

71H.-H. Bock, E. Diday (editors)

Analysis of Symbolic Data. Exploratory methods for extracting statistical information from complex data, Springer Verlag, 2000.
72P. Borras, D. Clément, T. Despeyroux, J. Incerpi, G. Kahn, B. Lang, V. Pascual.

CENTAUR: The System, in: Proceedings of the ACM SIGSOFT/SIGPLAN Software Engineering Symposium on Practical Software Development Environments, Boston, Massachusetts, USA, November 28-30, 1988, P. B. Henderson (editor), ACM, 1989, p. 14-24.
73S. 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, n^o 6, p. 569-593, 10.1016/j.intcom.2010.06.003.
74M. 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.
75S. Chelcea.

Agglomerative 2-3 Hierarchical Classification: Theoretical and Applicative Study, University of Nice Sophia Antipolis, March 2007.
76B. 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, n^o 4507, p. 203–210.
77B. Conan-Guez, F. Rossi, A. El Golli.

Fast Algorithm and Implementation of Dissimilarity Self-Organizing Maps, in: Neural Networks, August 2006, vol. 19, n^o 6–7, p. 855–863.

http://hal.inria.fr/inria-00174196
78M. 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.
79A. 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.
80A. Da Silva, Y. Lechevallier.

Axis Tool for Web Usage Evolving Data Analysis (ATWUEDA), Inria-France, 2009, AxIS internal document.
81A. Da Silva, Y. Lechevallier, F. Rossi, Francisco de A.T. De Carvalho.

Clustering Dynamic Web Usage Data, in: Innovative Applications in Data Mining, N. Nedjah, L. De Macedo Mourelle, J. Kacprzyk (editors), Studies in Computational Intelligence, Springer, 2009, vol. 169/2009, chap. 4, p. 71–82.
82A. 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.
83A. Da Silva, Y. Lechevallier, Francisco de A.T. De Carvalho.

Vers la simulation et la détection des changements des données évolutives d'usage du Web, in: Extraction et gestion des connaissances (EGC'2009), Actes des 9èmes journées Extraction et Gestion des Connaissances, Strasbourg, France, 27 au 30 janvier, 2009, p. 453-454.
84Francisco 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, n^o 3, p. 167–179.
85Francisco 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.
86M. E. Fayad, D. C. Schmidt.

Object-Oriented Application Frameworks, in: Communication of the ACM, 1997, vol. 40, n^o 10, p. 32-38.
87M. 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.
88M. 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, n^o 2, Numéro Spécial sur les patterns orientés objets, D. Rieu et J-P. Giraudon (guest editors).
89R. E. Johnson, B. Foote.

Designing Reusable Classes, in: Journal of Object-oriented programming, 1988, vol. 1, n^o 2, p. 22–35.
90Y. Lechevallier, R. Verde.

General dynamic clustering methods on symbolic data tables, in: Classification and Data Analysis Group, Bologne,Italie, CLADAG2003, September 2003, p. 245-248.
91A. Marascu.

Extraction de motifs séquentiels dans les flux de données, University of Nice Sophia Antipolis, 2009, PhD Thesis.
92A. Marascu, F. Masseglia, Y. Lechevallier.

A fast approximation strategy for summarizing a set of streaming time series, in: SAC, 2010, p. 1617-1621.
93A. Marascu, F. Masseglia, Y. Lechevallier.

REGLO : une nouvelle stratégie pour résumer un flux de séries temporelles, in: EGC, 2010, p. 217-228.
94A. Marascu, F. Masseglia.

Atypicity detection in data streams: A self-adjusting approach, in: Intelligent Data Analysis, 2011, vol. 15, n^o 1, p. 89-105.
95M. Noirhomme-Fraiture.

User manual for SODAS 2 Software, FUNDP, Belgique, april 2004, version 1.0.
96F. Rossi, B. Conan-Guez.

Functional Multi-Layer Perceptron: a Nonlinear Tool for Functional Data Analysis, in: Neural Networks, January 2005, vol. 18, n^o 1, p. 45–60.

http://hal.inria.fr/inria-00000599
97F. Rossi, B. Conan-Guez.

Un modèle neuronal pour la régression et la discrimination sur données fonctionnelles, in: Revue de Statistique Appliquée, 2005, vol. LIII, n^o 4, p. 5–30.

http://hal.inria.fr/inria-00001190
98F. Rossi, B. Conan-Guez.

Theoretical Properties of Projection Based Multilayer Perceptrons with Functional Inputs, in: Neural Processing Letters, February 2006, vol. 23, n^o 1, p. 55–70.

http://hal.inria.fr/inria-00001191
99F. 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
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