LUSSI (Logique des Usages, des Sciences Sociales et de l'Information)

LUSSI est spécialisé dans les études, la modélisation et la conception de systèmes socio-techniques dans lesquels les données et l'humain jouent un rôle central.

Le département LUSSI se compose d'une équipe pluridisciplinaire au carrefour des Mathématiques, de l'Informatique et des Sciences Humaines et Sociales.

Recherche
Enseignement

Les prochains événements du département

Il n'y a pas d'événement en cours ou à venir pour le département.
Les dernières publications du département
Article dans une revue
Simonin Jacques, Puentes John
Automatized integration of a contextual model into a process with data variability
Computer Languages, Systems & Structures, 2018, 54, pp.156 - 182. 〈10.1016/j.cl.2018.06.002〉
Bibtext :
@article{simonin:hal-01836388,
TITLE = {{Automatized integration of a contextual model into a process with data variability}},
AUTHOR = {Simonin, Jacques and Puentes, John},
URL = {https://hal.archives-ouvertes.fr/hal-01836388},
JOURNAL = {{Computer Languages, Systems \& Structures}},
HAL_LOCAL_REFERENCE = {19087},
VOLUME = {54},
PAGES = {156 - 182},
YEAR = {2018},
MONTH = Dec,
DOI = {10.1016/j.cl.2018.06.002},
KEYWORDS = {Data variability ; Contextual data ; Model transformation ; Substitution transformation ; Enhancement transformation},
HAL_ID = {hal-01836388},
HAL_VERSION = {v1},
}
Endnote :
%0 Journal Article
%T Automatized integration of a contextual model into a process with data variability
%+ Lab-STICC_IMTA_CID_DECIDE
%+ Département Logique des Usages, Sciences sociales et Sciences de l'Information (LUSSI)
%+ Département lmage et Traitement Information (ITI)
%A Simonin, Jacques
%A Puentes, John
%< avec comité de lecture
%Z 19087
%J Computer Languages, Systems & Structures
%V 54
%P 156 - 182
%8 2018-12
%D 2018
%R 10.1016/j.cl.2018.06.002
%K Data variability
%K Contextual data
%K Model transformation
%K Substitution transformation
%K Enhancement transformation
%Z Computer Science [cs]/Computers and Society [cs.CY]
%Z Engineering Sciences [physics]/Signal and Image processing
%Z Computer Science [cs]/Modeling and SimulationJournal articles
%X Existent process models can hardly cope with the emerging issue of modelling exponential variable data volumes in systems' workflow, from specifications to operation. Given the strong relation between data context and data variability, this paper considers the automated integration of contextual models for processes with data variability. The proposed approach extends methodologically a platform independent model process, using a contextual data model, to obtain automatically the corresponding platform specific model. Contextual data are thus integrated to a process as a model, within a process. Two particular cases of contextual data models are studied in detail: substitution, when the contextual data model defines generated code, and enhancement, when learned data descriptions constitute the contextual data model. The feasibility and value of integrating a contextual model into a process to handle data variability are shown in detail describing these two use cases. Contextual model integration by substitution to include automatically variable ready to use application services to generate code, and contextual model integration by enhancement applied to supervised image classification based on variable descriptors. Results show that relating data variability and its context by means of automated integration of a designed system component model, simplifies variable data processing of system process models.
%G English
%L hal-01836388
%U https://hal.archives-ouvertes.fr/hal-01836388
%~ CNRS
%~ UNIV-UBS
%~ INSTITUT-TELECOM
%~ ENIB
%~ TDS-MACS
%~ LAB-STICC
%~ UNIV-BREST
%~ IMT-ATLANTIQUE
%~ IMTA_LUSSI
%~ IMTA_ITI
%~ LAB-STICC_IMTA_CID_DECIDE
%~ LAB-STICC_IMTA
Pré-publication, Document de travail
Kabil Alexandre, Duval Thierry, Cuppens Nora, Le Comte Gérard, Halgand Yoran, Ponchel Christophe
3D CyberCOP: a Collaborative Platform for Cybersecurity Data Analysis and Training
to appear in CDVE 2018 (15th International Conference on Cooperative Design, Visualization and En.. 2018
Bibtext :
@unpublished{kabil:hal-01831965,
TITLE = {{3D CyberCOP: a Collaborative Platform for Cybersecurity Data Analysis and Training}},
AUTHOR = {Kabil, Alexandre and Duval, Thierry and Cuppens, Nora and Le Comte, G{\'e}rard and Halgand, Yoran and Ponchel, Christophe},
URL = {https://hal.archives-ouvertes.fr/hal-01831965},
NOTE = {to appear in CDVE 2018 (15th International Conference on Cooperative Design, Visualization and Engineering), Hangzhou, China, October 21-24, 2018},
YEAR = {2018},
MONTH = Jul,
PDF = {https://hal.archives-ouvertes.fr/hal-01831965/file/CDVE2018.pdf},
HAL_ID = {hal-01831965},
HAL_VERSION = {v1},
}
Endnote :
%0 Unpublished work
%T 3D CyberCOP: a Collaborative Platform for Cybersecurity Data Analysis and Training
%+ Lab-STICC_IMTA_CID_IHSEV
%+ Département Logique des Usages, Sciences sociales et Sciences de l'Information (LUSSI)
%+ Lab-STICC_IMTA_CID_IRIS
%+ Département Systèmes Réseaux, Cybersécurité et Droit du numérique (SRCD)
%+ Société Générale
%+ EDF (EDF)
%+ Airbus Defence & Space [Elancourt] (Airbus group)
%A Kabil, Alexandre
%A Duval, Thierry
%A Cuppens, Nora
%A Le Comte, Gérard
%A Halgand, Yoran
%A Ponchel, Christophe
%Z to appear in CDVE 2018 (15th International Conference on Cooperative Design, Visualization and Engineering), Hangzhou, China, October 21-24, 2018
%8 2018-07-16
%D 2018
%Z Computer Science [cs]/Graphics [cs.GR]
%Z Computer Science [cs]/Human-Computer Interaction [cs.HC]
%Z Computer Science [cs]/Cryptography and Security [cs.CR]Preprints, Working Papers, ...
%X Although Immersive Analytics solutions are now developed in order to ease data analysis, cyber security systems are still using classical graphical representations and are not harnessing yet the potential of virtual reality systems and collaborative virtual environments. 3D Col-laborative Virtual Environments (3DCVE) can be used in order to merge learning and data analysis approaches, as they can allow users to have a better understanding of a cyber situation by mediating interactions towards them and also by providing different points of view of the same data, on different scales. So we propose a 3D Cyber Common Operational Picture (3D CyberCOP) that will allow operators to face together a situation by using immersive and non immersive visualizations and by collaborating through user-defined roles. After visiting French Security Operations Centers (SOCs), we have defined a collaborative interaction model and some use-cases, to assess of the effectiveness of our solution.
%G English
%2 https://hal.archives-ouvertes.fr/hal-01831965/document
%2 https://hal.archives-ouvertes.fr/hal-01831965/file/CDVE2018.pdf
%L hal-01831965
%U https://hal.archives-ouvertes.fr/hal-01831965
%~ CNRS
%~ UNIV-UBS
%~ INSTITUT-TELECOM
%~ ENIB
%~ LAB-STICC
%~ IMTA_SRCD
%~ LAB-STICC_IMTA_CID_IHSEV
%~ UNIV-BREST
%~ IMT-ATLANTIQUE
%~ LAB-STICC_IMTA_CID_IRIS
%~ IMTA_LUSSI
%~ EDF
%~ LAB-STICC_IMTA
Communication dans un congrès
Delacroix T, Sadighiyan H
Planifier l'épreuve E5 à l'aide d'un solveur SAT
4ème conférence sur les Applications Pratiques de l'Intelligence Artificielle APIA2018, Jul 2018, Nancy, France
Bibtext :
@inproceedings{delacroix:hal-01830895,
TITLE = {{Planifier l'{\'e}preuve E5 {\`a} l'aide d'un solveur SAT}},
AUTHOR = {Delacroix, T and Sadighiyan, H},
URL = {https://hal.archives-ouvertes.fr/hal-01830895},
BOOKTITLE = {{4{\`e}me conf{\'e}rence sur les Applications Pratiques de l'Intelligence Artificielle APIA2018}},
ADDRESS = {Nancy, France},
YEAR = {2018},
MONTH = Jul,
KEYWORDS = {timetabling ; SAT ; PicoSAT ; BTS},
PDF = {https://hal.archives-ouvertes.fr/hal-01830895/file/APIA_2018_paper_12.pdf},
HAL_ID = {hal-01830895},
HAL_VERSION = {v1},
}
Endnote :
%0 Conference Paper
%F Oral
%T Planifier l'épreuve E5 à l'aide d'un solveur SAT
%+ Département Logique des Usages, Sciences sociales et Sciences de l'Information (LUSSI)
%A Delacroix, T
%A Sadighiyan, H
%< avec comité de lecture
%B 4ème conférence sur les Applications Pratiques de l'Intelligence Artificielle APIA2018
%C Nancy, France
%8 2018-07-02
%D 2018
%K timetabling
%K SAT
%K PicoSAT
%K BTS
%Z Computer Science [cs]
%Z Computer Science [cs]/Artificial Intelligence [cs.AI]Conference papers
%X This article addresses a specific timetabling problem for student exam schedules (E5 exam for technical university students enrolled in a French BTS-SN curriculum) by mo-deling it thanks to a SAT problem and providing a link to a ready-to-use Python implementation to solve this problem. The detailed presentation of the process makes it easily transposable to other situations.
%X Cet article propose une modélisation à l'aide d'un pro-blème SAT d'un problème spécifique de définition d'un planning des passages d'étudiants en examen (épreuve E5 en BTS-SN) ainsi qu'un lien vers une implémentation en Python prête à l'emploi par les enseignants de la filière concernée permettant de résoudre le problème. La dé-marche est présentée de manière détaillée afin de permettre une adaptation aisée à d'autres contextes. Mots Clef emploi du temps, SAT, PicoSAT, BTS.
%G French
%2 https://hal.archives-ouvertes.fr/hal-01830895/document
%2 https://hal.archives-ouvertes.fr/hal-01830895/file/APIA_2018_paper_12.pdf
%L hal-01830895
%U https://hal.archives-ouvertes.fr/hal-01830895
%~ APIA2018
%~ IMT-ATLANTIQUE
%~ IMTA_LUSSI
Pré-publication, Document de travail
Dao Vinh-Loc, Bothorel Cécile, Lenca Philippe
An empirical characterization of community structures in complex networks using a bivariate map of quality metrics
18 pages, 12 figures, 41 reference items. 2018
Bibtext :
@unpublished{dao:hal-01809064,
TITLE = {{An empirical characterization of community structures in complex networks using a bivariate map of quality metrics}},
AUTHOR = {Dao, Vinh-Loc and BOTHOREL, C{\'e}cile and Lenca, Philippe},
URL = {https://hal-imt-atlantique.archives-ouvertes.fr/hal-01809064},
NOTE = {18 pages, 12 figures, 41 reference items},
YEAR = {2018},
MONTH = Jun,
HAL_ID = {hal-01809064},
HAL_VERSION = {v1},
}
Endnote :
%0 Unpublished work
%T An empirical characterization of community structures in complex networks using a bivariate map of quality metrics
%+ Lab-STICC_IMTA_CID_DECIDE
%+ Département Logique des Usages, Sciences sociales et Sciences de l'Information (LUSSI)
%+ Lab-STICC_TB_CID_DECIDE
%+ Département Logique des Usages, Sciences sociales et Sciences de l'Information (LUSSI)
%A Dao, Vinh-Loc
%A BOTHOREL, Cécile
%A Lenca, Philippe
%Z 18 pages, 12 figures, 41 reference items
%8 2018-06-06
%D 2018
%Z 1806.01386
%Z Computer Science [cs]/Social and Information Networks [cs.SI]
%Z Physics [physics]/Physics [physics]/Physics and Society [physics.soc-ph]
%Z Computer Science [cs]/Artificial Intelligence [cs.AI]
%Z Computer Science [cs]/Data Structures and Algorithms [cs.DS]Preprints, Working Papers, ...
%X Community detection emerges as an important task in the discovery of network mesoscopic structures. However, the concept of a "good" community is very context-dependent and it is relatively complicated to deduce community characteristics using available community detection techniques. In reality, the existence of a gap between structural goodness quality metrics and expected topological patterns creates a confusion in evaluating community structures. In this paper, we introduce an empirical multivariate analysis of different structural goodness properties in order to characterize several detectable community topologies. Specifically, we show that a combination of two representative structural dimensions including community transitivity and hub dominance allows to distinguish different topologies such as star-based, clique-based, string-based and grid-based structures. Additionally, these classes of topology disclose structural proximities with those of graphs created by Erd\H{o}s-R\'{e}nyi, Watts-Strogatz and Barab\'{a}si-Albert generative models. We illustrate popular community topologies identified by different detection methods on a large dataset composing many network categories and associate their structures with the most related graph generative model. Interestingly, this conjunctive representation sheds light on fundamental differences between mesoscopic structures in various network categories including: communication, information, biological, technological, social, ecological, synthetic networks and more.
%G English
%L hal-01809064
%U https://hal-imt-atlantique.archives-ouvertes.fr/hal-01809064
%~ CNRS
%~ UNIV-UBS
%~ INSTITUT-TELECOM
%~ ENIB
%~ LAB-STICC_ENIB
%~ LAB-STICC
%~ LAB-STICC_TB
%~ UNIV-BREST
%~ LAB-STICC_IMTA_CID_DECIDE
%~ IMTA_LUSSI
%~ IMT-ATLANTIQUE
%~ LAB-STICC_IMTA
Communication dans un congrès
Cantu Alma, Duval Thierry, Grisvard Olivier, Coppin Gilles
HeloVis: a Helical Visualization for SIGINT Analysis Using 3D Immersion
11th IEEE Pacific Visualization Symposium (PacificVis 2018), Apr 2018, Kobe, Japan. Proceedings 11th IEEE Pacific Visualization Symposium (PacificVis 2018), 2018
Bibtext :
@inproceedings{cantu:hal-01769974,
TITLE = {{HeloVis: a Helical Visualization for SIGINT Analysis Using 3D Immersion}},
AUTHOR = {Cantu, Alma and Duval, Thierry and Grisvard, Olivier and Coppin, Gilles},
URL = {https://hal.archives-ouvertes.fr/hal-01769974},
BOOKTITLE = {{11th IEEE Pacific Visualization Symposium (PacificVis 2018)}},
ADDRESS = {Kobe, Japan},
HAL_LOCAL_REFERENCE = {18661},
PAGES = {.},
YEAR = {2018},
MONTH = Apr,
KEYWORDS = {Human computer interaction ; R{\'e}alit{\'e} virtuelle ; Interaction ; Visualisation ; Visualization},
PDF = {https://hal.archives-ouvertes.fr/hal-01769974/file/template.pdf},
HAL_ID = {hal-01769974},
HAL_VERSION = {v1},
}
Endnote :
%0 Conference Proceedings
%T HeloVis: a Helical Visualization for SIGINT Analysis Using 3D Immersion
%+ Lab-STICC_IMTA_CID_IHSEV
%+ Département Logique des Usages, Sciences sociales et Sciences de l'Information (LUSSI)
%+ Thales Airborne Systems
%A Cantu, Alma
%A Duval, Thierry
%A Grisvard, Olivier
%A Coppin, Gilles
%< avec comité de lecture
%Z 18661
%( Proceedings 11th IEEE Pacific Visualization Symposium (PacificVis 2018)
%B 11th IEEE Pacific Visualization Symposium (PacificVis 2018)
%C Kobe, Japan
%P .
%8 2018-04-10
%D 2018
%K Human computer interaction
%K Réalité virtuelle
%K Interaction
%K Visualisation
%K Visualization
%Z Computer Science [cs]/Human-Computer Interaction [cs.HC]
%Z Computer Science [cs]/Computers and Society [cs.CY]
%Z Computer Science [cs]/Graphics [cs.GR]Conference papers
%X In this paper we present HeloVis: a 3D interactive visualization that relies on immersive properties to improve the user performance during SIGINT analysis. SIGINT, which stands for SIGnal INTelligence, is a field facing many challenges like huge amounts of data, complex data and novice users. HeloVis draws on perceptive biases, highlighted by Gestalt laws, and on depth perception to enhance the recurrence properties contained into the data and to abstract from interferences such as noise or missing data. In this paper, we first present SIGINT and the challenges that it brings to visual analytics. Then, we present the existing work that is currently used in or that fits the SIGINT context. Finally, we present HeloVis, an innovative application on an immersive context that allows performing SIGINT analysis and we present its evaluation performed with military operators who are the end-users of SIGINT analysis.
%G English
%2 https://hal.archives-ouvertes.fr/hal-01769974/document
%2 https://hal.archives-ouvertes.fr/hal-01769974/file/template.pdf
%L hal-01769974
%U https://hal.archives-ouvertes.fr/hal-01769974
%~ INSTITUT-TELECOM
%~ TELECOM-BRETAGNE
%~ CNRS
%~ UNIV-UBS
%~ ENIB
%~ TDS-MACS
%~ LAB-STICC
%~ UNIV-BREST
%~ LAB-STICC_IMTA_CID_IHSEV
%~ IMTA_LUSSI
%~ IMT-ATLANTIQUE
%~ LAB-STICC_IMTA
Article dans une revue
Berrouiguet Sofian, Barrigón Maria Luisa
Comment on predictors of daily life suicidal ideation in adults recently discharged after a serious suicide attempt: A pilot study
Psychiatry Research, 2018, 262, pp.640 - 641
Bibtext :
@article{berrouiguet:hal-01759078,
TITLE = {{Comment on predictors of daily life suicidal ideation in adults recently discharged after a serious suicide attempt: A pilot study}},
AUTHOR = {Berrouiguet, Sofian and Barrig{\'o}n, Maria Luisa},
URL = {https://hal.archives-ouvertes.fr/hal-01759078},
JOURNAL = {{Psychiatry Research}},
HAL_LOCAL_REFERENCE = {18800},
VOLUME = {262},
PAGES = {640 - 641},
YEAR = {2018},
MONTH = Apr,
KEYWORDS = {Suicide ; Suicidal ideation},
HAL_ID = {hal-01759078},
HAL_VERSION = {v1},
}
Endnote :
%0 Journal Article
%T Comment on predictors of daily life suicidal ideation in adults recently discharged after a serious suicide attempt: A pilot study
%+ Lab-STICC_IMTA_CID_DECIDE
%+ Département Logique des Usages, Sciences sociales et Sciences de l'Information (LUSSI)
%+ Hopital de Bohars - CHRU Brest (CHU - BREST )
%+ Soins Primaires, Santé Publique, Registre des cancers de Bretagne Occidentale faculté de médecine (CHRU Brest (Centre Hospitalier Régional et Universitaire de Brest) - Université de Bretagne Occidentale) (SPURBO)
%+ Department of Psychiatry (Hospital Universitario Fundacion Jimenez Diaz )
%A Berrouiguet, Sofian
%A Barrigón, Maria Luisa
%< avec comité de lecture
%Z 18800
%J Psychiatry Research
%V 262
%P 640 - 641
%8 2018-04
%D 2018
%K Suicide
%K Suicidal ideation
%Z Computer Science [cs]/Computers and Society [cs.CY]
%Z Humanities and Social Sciences/Library and information sciences
%Z Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental healthJournal articles
%X In the research article by Husky et al. (2014), 42 adults patients discharged after a suicide attempt used Ecological Momentary Assessment for seven consecutive days, providing repeated measures of SI, environmental, contextual, and behavioral factors. Participants were trained in how to use the mobile device (Tungsten E2 palm) for the EMA assessments. After completion of the training, each participant was given an EMA device to carry with them for the seven next days. The greatest interest of EMA in suicide prevention data is its capacity to examine the proximal predictors of critical events within the flow of daily life.
%G English
%L hal-01759078
%U https://hal.archives-ouvertes.fr/hal-01759078
%~ TELECOM-BRETAGNE
%~ INSTITUT-TELECOM
%~ CNRS
%~ UNIV-UBS
%~ ENIB
%~ TDS-MACS
%~ LAB-STICC
%~ UNIV-BREST
%~ SHS
%~ LAB-STICC_IMTA_CID_DECIDE
%~ IMTA_LUSSI
%~ IMT-ATLANTIQUE
%~ LAB-STICC_IMTA
Communication dans un congrès
Kabil Alexandre, Duval Thierry, Cuppens Nora, Le Comte Gérard, Halgand Yoran, Ponchel Christophe
Why should we use 3D Collaborative Virtual Environments for Cyber Security?
IEEE Fourth VR International Workshop on Collaborative Virtual Environments (IEEEVR 2018), Mar 2018, Reutlingen, Germany. 〈http://ieeevr.org/2018/〉
Bibtext :
@inproceedings{kabil:hal-01770064,
TITLE = {{Why should we use 3D Collaborative Virtual Environments for Cyber Security?}},
AUTHOR = {Kabil, Alexandre and Duval, Thierry and Cuppens, Nora and Le Comte, G{\'e}rard and Halgand, Yoran and Ponchel, Christophe},
URL = {https://hal.archives-ouvertes.fr/hal-01770064},
BOOKTITLE = {{IEEE Fourth VR International Workshop on Collaborative Virtual Environments (IEEEVR 2018)}},
ADDRESS = {Reutlingen, Germany},
YEAR = {2018},
MONTH = Mar,
KEYWORDS = {Visual analytics ; Human-centered computing ; Human computer interaction (HCI) ; Interaction paradigms ; Collaborative interaction ; Visualization ; Visualization application domains},
PDF = {https://hal.archives-ouvertes.fr/hal-01770064/file/3DCVE_2018_paper_2.pdf},
HAL_ID = {hal-01770064},
HAL_VERSION = {v1},
}
Endnote :
%0 Conference Paper
%F Oral
%T Why should we use 3D Collaborative Virtual Environments for Cyber Security?
%+ Lab-STICC_IMTA_CID_IHSEV
%+ Département Logique des Usages, Sciences sociales et Sciences de l'Information (LUSSI)
%+ Département Systèmes Réseaux, Cybersécurité et Droit du numérique (SRCD)
%+ Lab-STICC_IMTA_CID_IRIS
%+ Société Générale
%+ EDF (EDF)
%+ Cassidian
%A Kabil, Alexandre
%A Duval, Thierry
%A Cuppens, Nora
%A Le Comte, Gérard
%A Halgand, Yoran
%A Ponchel, Christophe
%< avec comité de lecture
%B IEEE Fourth VR International Workshop on Collaborative Virtual Environments (IEEEVR 2018)
%C Reutlingen, Germany
%8 2018-03-18
%D 2018
%K Visual analytics
%K Human-centered computing
%K Human computer interaction (HCI)
%K Interaction paradigms
%K Collaborative interaction
%K Visualization
%K Visualization application domains
%Z Computer Science [cs]/Graphics [cs.GR]
%Z Computer Science [cs]/Human-Computer Interaction [cs.HC]Conference papers
%X Cyber Security data analysis is an important growing domain: more and more data visualization systems are offered to operators in order to improve their threat detection performances or facilitate suspect behaviors characterization. As today Cyber Security trend is to regroup employees in structures such as Security Operations Center (SOC) or Computer Emergency Response Team (CERT), collaborative approach seems to be relevant in this context. We think that 3D Collaborative Virtual Environments (3DCVE) can be used in order to improve users Cyber Situational Awareness, as they can allow them to have a better understanding of a cyber situation by mediating interactions towards them and also by providing different points of view of the same data, on different scales.
%G English
%2 https://hal.archives-ouvertes.fr/hal-01770064/document
%2 https://hal.archives-ouvertes.fr/hal-01770064/file/3DCVE_2018_paper_2.pdf
%L hal-01770064
%U https://hal.archives-ouvertes.fr/hal-01770064
%~ CNRS
%~ UNIV-UBS
%~ INSTITUT-TELECOM
%~ ENIB
%~ LAB-STICC
%~ UNIV-BREST
%~ IMTA_SRCD
%~ LAB-STICC_IMTA_CID_IRIS
%~ LAB-STICC_IMTA_CID_IHSEV
%~ IMTA_LUSSI
%~ EDF
%~ IMT-ATLANTIQUE
%~ LAB-STICC_IMTA
Communication dans un congrès
Deltour François, Le Gall Sébastien, Lethiais Virginie
The spatiality of SMEs' cooperation for innovation in the digital age: a mixed method study
4th Geography of Innovation Conference, Jan 2018, Barcelone, Spain
Bibtext :
@inproceedings{deltour:hal-01667617,
TITLE = {{The spatiality of SMEs' cooperation for innovation in the digital age: a mixed method study }},
AUTHOR = {Deltour, Fran{\c c}ois and Le Gall, S{\'e}bastien and Lethiais, Virginie},
URL = {https://hal.archives-ouvertes.fr/hal-01667617},
BOOKTITLE = {{4th Geography of Innovation Conference}},
ADDRESS = {Barcelone, Spain},
YEAR = {2018},
MONTH = Jan,
HAL_ID = {hal-01667617},
HAL_VERSION = {v1},
}
Endnote :
%0 Conference Paper
%F Oral
%T The spatiality of SMEs' cooperation for innovation in the digital age: a mixed method study
%+ Laboratoire d'économie et de management de Nantes Atlantique (LEMNA)
%+ Laboratoire d'Economie et de Gestion de l'Ouest (LEGO)
%+ Môle Armoricain de Recherche sur la SOciété de l'information et des usages d'INternet (MARSOUIN)
%+ Département Logique des Usages, Sciences sociales et Sciences de l'Information (LUSSI)
%A Deltour, François
%A Le Gall, Sébastien
%A Lethiais, Virginie
%< avec comité de lecture
%B 4th Geography of Innovation Conference
%C Barcelone, Spain
%8 2018-01-31
%D 2018
%Z Humanities and Social Sciences/Economies and finances
%Z Humanities and Social Sciences/Business administrationConference papers
%G English
%L hal-01667617
%U https://hal.archives-ouvertes.fr/hal-01667617
%~ TELECOM-BRETAGNE
%~ INSTITUT-TELECOM
%~ UNIV-UBS
%~ AO-ECONOMIE
%~ UNIV-NANTES
%~ UNIV-RENNES1
%~ UR1-HAL
%~ UNIV-RENNES2
%~ UNIV-BREST
%~ UR2-HB
%~ SHS
%~ LEGO_UBS
%~ UBS
%~ TEST-UNIV-RENNES
%~ TEST-UR-CSS
%~ IMTA_LUSSI
%~ LEGO_IMTA
%~ LEGO
%~ UNIV-RENNES
%~ IMT-ATLANTIQUE
%~ LEGO-IMTA
%~ MARSOUIN-IMTA
Communication dans un congrès
Brisson Laurent, Duval Thierry, Sahl Rémi
Visualisation Immersive de Graphes en 3D pour explorer des graphes de communautés
EGC-VIF 2018, Jan 2018, Paris, France. Actes EGC-VIF 2018, 2018
Bibtext :
@inproceedings{brisson:hal-01759070,
TITLE = {{Visualisation Immersive de Graphes en 3D pour explorer des graphes de communaut{\'e}s}},
AUTHOR = {Brisson, Laurent and Duval, Thierry and Sahl, R{\'e}mi},
URL = {https://hal.archives-ouvertes.fr/hal-01759070},
BOOKTITLE = {{EGC-VIF 2018}},
ADDRESS = {Paris, France},
HAL_LOCAL_REFERENCE = {18480},
PAGES = {.},
YEAR = {2018},
MONTH = Jan,
KEYWORDS = {Visualisation 3D interactive ; Visualisation ; Visualisation 3D de graphes},
PDF = {https://hal.archives-ouvertes.fr/hal-01759070/file/VIG3D.pdf},
HAL_ID = {hal-01759070},
HAL_VERSION = {v1},
}
Endnote :
%0 Conference Proceedings
%T Visualisation Immersive de Graphes en 3D pour explorer des graphes de communautés
%+ Lab-STICC_IMTA_CID_DECIDE
%+ Département Logique des Usages, Sciences sociales et Sciences de l'Information (LUSSI)
%+ Lab-STICC_IMTA_CID_IHSEV
%A Brisson, Laurent
%A Duval, Thierry
%A Sahl, Rémi
%< avec comité de lecture
%Z 18480
%( Actes EGC-VIF 2018
%B EGC-VIF 2018
%C Paris, France
%P .
%8 2018-01-23
%D 2018
%K Visualisation 3D interactive
%K Visualisation
%K Visualisation 3D de graphes
%Z Computer Science [cs]/Human-Computer Interaction [cs.HC]
%Z Computer Science [cs]/Computers and Society [cs.CY]
%Z Computer Science [cs]/Graphics [cs.GR]Conference papers
%X In this paper we present some new metaphors for immersive 3D visualization of communities networks: one spherical projection for visualization of intra-community links and one circular distribution for visualization of inter-community links.
%G French
%2 https://hal.archives-ouvertes.fr/hal-01759070/document
%2 https://hal.archives-ouvertes.fr/hal-01759070/file/VIG3D.pdf
%L hal-01759070
%U https://hal.archives-ouvertes.fr/hal-01759070
%~ TELECOM-BRETAGNE
%~ INSTITUT-TELECOM
%~ CNRS
%~ UNIV-UBS
%~ ENIB
%~ TDS-MACS
%~ LAB-STICC
%~ UNIV-BREST
%~ LAB-STICC_IMTA_CID_DECIDE
%~ LAB-STICC_IMTA_CID_IHSEV
%~ IMTA_LUSSI
%~ IMT-ATLANTIQUE
%~ LAB-STICC_IMTA
Communication dans un congrès
Billot Romain, Berrouiguet Sofian, Larsen Mark, Walter Michel, Castroman Jorge López, Baca-Garcia Enrique, Courtet Philippe, Lenca Philippe
Apport de la fouille de données pour la prévention du risque suicidaire
Conférence Internationale sur l'Extraction et la Gestion des Connaissances, Revue des Nouvelles Technologies de l'Information, Jan 2018, Paris, France. Actes Conférence Internationale sur l'Extraction et la Gestion des Connaissances, Revue des Nouvelles Technologies de l'Information, RNTI-E-34, pp.143 - 154, 2018
Bibtext :
@inproceedings{billot:hal-01694714,
TITLE = {{Apport de la fouille de donn{\'e}es pour la pr{\'e}vention du risque suicidaire}},
AUTHOR = {Billot, Romain and Berrouiguet, Sofian and Larsen, Mark and Walter, Michel and Castroman, Jorge L{\'o}pez and Baca-Garcia, Enrique and Courtet, Philippe and Lenca, Philippe},
URL = {https://hal.archives-ouvertes.fr/hal-01694714},
BOOKTITLE = {{Conf{\'e}rence Internationale sur l'Extraction et la Gestion des Connaissances, Revue des Nouvelles Technologies de l'Information}},
ADDRESS = {Paris, France},
HAL_LOCAL_REFERENCE = {18459},
VOLUME = {RNTI-E-34},
PAGES = {143 - 154},
YEAR = {2018},
MONTH = Jan,
KEYWORDS = {Fouille de donn{\'e}es ; Data mining ; Machine learning ; Suicide ; Tentative de suicide ; Clustering ; Arbres de r{\'e}gression},
HAL_ID = {hal-01694714},
HAL_VERSION = {v1},
}
Endnote :
%0 Conference Proceedings
%T Apport de la fouille de données pour la prévention du risque suicidaire
%+ Lab-STICC_IMTA_CID_DECIDE
%+ Département Logique des Usages, Sciences sociales et Sciences de l'Information (LUSSI)
%+ Hopital de Bohars - CHRU Brest (CHU - BREST )
%+ Soins Primaires, Santé Publique, Registre des cancers de Bretagne Occidentale faculté de médecine (CHRU Brest (Centre Hospitalier Régional et Universitaire de Brest) - Université de Bretagne Occidentale) (SPURBO)
%+ Black Dog Institute (University of New South Wales) (BDI)
%+ Centre Hospitalier Régional Universitaire de Nîmes (.)
%+ Department of Psychiatry (Hospital Universitario Fundacion Jimenez Diaz )
%+ Neuropsychiatrie : recherche épidémiologique et clinique
%A Billot, Romain
%A Berrouiguet, Sofian
%A Larsen, Mark
%A Walter, Michel
%A Castroman, Jorge López
%A Baca-Garcia, Enrique
%A Courtet, Philippe
%A Lenca, Philippe
%< avec comité de lecture
%Z 18459
%( Actes Conférence Internationale sur l'Extraction et la Gestion des Connaissances, Revue des Nouvelles Technologies de l'Information
%B Conférence Internationale sur l'Extraction et la Gestion des Connaissances, Revue des Nouvelles Technologies de l'Information
%C Paris, France
%V RNTI-E-34
%P 143 - 154
%8 2018-01-22
%D 2018
%K Fouille de données
%K Data mining
%K Machine learning
%K Suicide
%K Tentative de suicide
%K Clustering
%K Arbres de régression
%Z Computer Science [cs]/Artificial Intelligence [cs.AI]
%Z Computer Science [cs]/Computers and Society [cs.CY]
%Z Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health
%Z Life Sciences [q-bio]/Santé publique et épidémiologie
%Z Statistics [stat]/Machine Learning [stat.ML]Conference papers
%X Avec plus de 800 000 décès par an dans le monde, le suicide est la troisième cause de décès évitable. Il y a 20 fois plus de tentatives, impliquant de nombreuses hospitalisations, des coûts humains et sociétaux énormes. Ces dernières années, les modalités de collecte de données, sociologiques et cliniques, concernant les patients reçus en consultation après une tentative, ont connu de profonds changements liés aux outils numériques. Nous présentons les principaux résultats d'un processus complet de fouille de données sur un échantillon de suicidants de deux hôpitaux européens. Le premier objectif est d'identifier des groupes de patients similaires et le second d'identifier des facteurs de risque associés au nombre de tentatives. Des méthodes non supervisées (ACM et clustering) et supervisées (arbres de régression) sont appliquées pour y répondre. Les résultats mettent en lumière l'apport de la fouille de données à des fins descriptives ou explicatives.
%G French
%L hal-01694714
%U https://hal.archives-ouvertes.fr/hal-01694714
%~ TELECOM-BRETAGNE
%~ INSTITUT-TELECOM
%~ CNRS
%~ UNIV-UBS
%~ SANTE_PUB_INSERM
%~ ENIB
%~ U1061
%~ TDS-MACS
%~ LAB-STICC
%~ UNIV-BREST
%~ BS
%~ UNIV-MONTPELLIER
%~ LAB-STICC_IMTA_CID_DECIDE
%~ IMTA_LUSSI
%~ IMT-ATLANTIQUE
%~ LAB-STICC_IMTA
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