Département logique des usages, des sciences sociales et de l'information (LUSSI)

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
Communication dans un congrès
Kabil Alexandre, Duval Thierry, Cuppens Nora, Le Comte Gérard, Halgand Yoran, Ponchel Christophe
3D CyberCOP: a Collaborative Platform for Cybersecurity Data Analysis and Training
Luo, Yuhua. 15th International Conference on Cooperative Design, Visualization and Engineering, Oct 2018, Hangzou, China. Springer, pp.176-183, Cooperative Design, Visualization, and Engineering. 〈http://www.cdve.org/〉
Bibtext :
@inproceedings{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 = {in proceedings of CDVE 2018 (15th International Conference on Cooperative Design, Visualization and Engineering), Springer, p. 176-183, Hangzhou, China, October 21-24, 2018},
BOOKTITLE = {{15th International Conference on Cooperative Design, Visualization and Engineering}},
ADDRESS = {Hangzou, China},
EDITOR = {Luo, Yuhua},
PUBLISHER = {{Springer}},
SERIES = {Cooperative Design, Visualization, and Engineering},
PAGES = {176-183},
YEAR = {2018},
MONTH = Oct,
PDF = {https://hal.archives-ouvertes.fr/hal-01831965/file/CDVE2018.pdf},
HAL_ID = {hal-01831965},
HAL_VERSION = {v1},
}
Endnote :
%0 Conference Proceedings
%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 in proceedings of CDVE 2018 (15th International Conference on Cooperative Design, Visualization and Engineering), Springer, p. 176-183, Hangzhou, China, October 21-24, 2018
%< avec comité de lecture
%B 15th International Conference on Cooperative Design, Visualization and Engineering
%C Hangzou, China
%Y Luo, Yuhua
%I Springer
%3 Cooperative Design, Visualization, and Engineering
%P 176-183
%8 2018-10-21
%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]Conference 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
%Z Chaire Cyber CNI
%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
Khannoussi Arwa, Olteanu Alexandru Liviu, Dezan Catherine, Diguet Jean-Philippe, Meyer Patrick
Incremental preference elicitation for SRMP models: Application for autonomous drones
88th Meeting of the EURO Working Group Multiple Criteria Decision Aiding, Sep 2018, Lisbonne, Portugal
Bibtext :
@inproceedings{khannoussi:hal-01886972,
TITLE = {{Incremental preference elicitation for SRMP models: Application for autonomous drones}},
AUTHOR = {Khannoussi, Arwa and OLTEANU, Alexandru Liviu and Dezan, Catherine and Diguet, Jean-Philippe and Meyer, Patrick},
URL = {https://hal-imt-atlantique.archives-ouvertes.fr/hal-01886972},
BOOKTITLE = {{88th Meeting of the EURO Working Group Multiple Criteria Decision Aiding}},
ADDRESS = {Lisbonne, Portugal},
YEAR = {2018},
MONTH = Sep,
HAL_ID = {hal-01886972},
HAL_VERSION = {v1},
}
Endnote :
%0 Conference Paper
%F Oral
%T Incremental preference elicitation for SRMP models: Application for autonomous drones
%+ Lab-STICC_IMTA_CID_DECIDE
%+ Lab-STICC_UBO_CACS_MOCS
%+ Lab-STICC_UBS_CID_DECIDE
%+ Lab-STICC_UBO_CACS_MOCS
%+ Lab-STICC_UBS_CACS_MOCS
%+ Département Logique des Usages, Sciences sociales et Sciences de l'Information (LUSSI)
%A Khannoussi, Arwa
%A OLTEANU, Alexandru Liviu
%A Dezan, Catherine
%A Diguet, Jean-Philippe
%A Meyer, Patrick
%< avec comité de lecture
%B 88th Meeting of the EURO Working Group Multiple Criteria Decision Aiding
%C Lisbonne, Portugal
%8 2018-09-27
%D 2018
%Z Computer Science [cs]/Artificial Intelligence [cs.AI]
%Z Computer Science [cs]/Discrete Mathematics [cs.DM]
%Z Computer Science [cs]/Operations Research [cs.RO]Conference papers
%G English
%L hal-01886972
%U https://hal-imt-atlantique.archives-ouvertes.fr/hal-01886972
%~ IMT-ATLANTIQUE
%~ CNRS
%~ UNIV-BREST
%~ UNIV-UBS
%~ INSTITUT-TELECOM
%~ LAB-STICC_ENIB
%~ ENIB
%~ TDS-MACS
%~ LAB-STICC
%~ LAB-STICC_UBS
%~ LAB-STICC_UBO_CACS
%~ LAB-STICC_UBO
%~ IMTA_LUSSI
%~ LAB-STICC_IMTA_CID_DECIDE
%~ UBS
%~ LAB-STICC_IMTA
Communication dans un congrès
Meyer Patrick, Bigaret Sébastien
Latest news and developments on Decision Deck
15th Decision Deck Workshop, Sep 2018, Lisbonne, Portugal
Bibtext :
@inproceedings{meyer:hal-01886979,
TITLE = {{Latest news and developments on Decision Deck}},
AUTHOR = {Meyer, Patrick and BIGARET, S{\'e}bastien},
URL = {https://hal-imt-atlantique.archives-ouvertes.fr/hal-01886979},
BOOKTITLE = {{15th Decision Deck Workshop}},
ADDRESS = {Lisbonne, Portugal},
YEAR = {2018},
MONTH = Sep,
HAL_ID = {hal-01886979},
HAL_VERSION = {v1},
}
Endnote :
%0 Conference Paper
%F Oral
%T Latest news and developments on Decision Deck
%+ Département Logique des Usages, Sciences sociales et Sciences de l'Information (LUSSI)
%+ Lab-STICC_IMTA_CID_DECIDE
%A Meyer, Patrick
%A BIGARET, Sébastien
%< avec comité de lecture
%B 15th Decision Deck Workshop
%C Lisbonne, Portugal
%8 2018-09-26
%D 2018
%Z Computer Science [cs]/Artificial Intelligence [cs.AI]
%Z Computer Science [cs]/Discrete Mathematics [cs.DM]
%Z Computer Science [cs]/Operations Research [cs.RO]Conference papers
%G English
%L hal-01886979
%U https://hal-imt-atlantique.archives-ouvertes.fr/hal-01886979
%~ IMT-ATLANTIQUE
%~ CNRS
%~ UNIV-BREST
%~ UNIV-UBS
%~ INSTITUT-TELECOM
%~ ENIB
%~ TDS-MACS
%~ LAB-STICC
%~ IMTA_LUSSI
%~ LAB-STICC_IMTA_CID_DECIDE
%~ LAB-STICC_IMTA
Communication dans un congrès
Valko Arthur, Olteanu Alexandru Liviu, Brosset David, Meyer Patrick
Integrating time into majority-rule sorting models: application to the cyber-defense context
15th Decision Deck Workshop, Sep 2018, Lisbonne, Portugal
Bibtext :
@inproceedings{valko:hal-01886987,
TITLE = {{Integrating time into majority-rule sorting models: application to the cyber-defense context}},
AUTHOR = {Valko, Arthur and OLTEANU, Alexandru Liviu and Brosset, David and Meyer, Patrick},
URL = {https://hal-imt-atlantique.archives-ouvertes.fr/hal-01886987},
BOOKTITLE = {{15th Decision Deck Workshop}},
ADDRESS = {Lisbonne, Portugal},
YEAR = {2018},
MONTH = Sep,
HAL_ID = {hal-01886987},
HAL_VERSION = {v1},
}
Endnote :
%0 Conference Paper
%F Oral
%T Integrating time into majority-rule sorting models: application to the cyber-defense context
%+ Chaire cyberdéfense systèmes navals (Ecole Navale, IMT-Atlantique, THALES, DCNS)
%+ Lab-STICC_IMTA_CID_DECIDE
%+ Lab-STICC_UBS_CID_DECIDE
%+ Département Logique des Usages, Sciences sociales et Sciences de l'Information (LUSSI)
%A Valko, Arthur
%A OLTEANU, Alexandru Liviu
%A Brosset, David
%A Meyer, Patrick
%< avec comité de lecture
%B 15th Decision Deck Workshop
%C Lisbonne, Portugal
%8 2018-09-26
%D 2018
%Z Computer Science [cs]/Artificial Intelligence [cs.AI]
%Z Computer Science [cs]/Discrete Mathematics [cs.DM]
%Z Computer Science [cs]/Operations Research [cs.RO]Conference papers
%G English
%L hal-01886987
%U https://hal-imt-atlantique.archives-ouvertes.fr/hal-01886987
%~ IMT-ATLANTIQUE
%~ CNRS
%~ UNIV-BREST
%~ UNIV-UBS
%~ INSTITUT-TELECOM
%~ ENIB
%~ TDS-MACS
%~ LAB-STICC_UBS
%~ LAB-STICC
%~ IMTA_LUSSI
%~ LAB-STICC_IMTA_CID_DECIDE
%~ UBS
%~ LAB-STICC_IMTA
Poster
Kabore Raogo, Kermarrec Yvon, Lenca Philippe
Performance Comparison For Multi Class Classification Intrusion Detection In SCADA Systems Using Apache Spark
8th Global Techmining Conference, Sep 2018, Leiden, Netherlands
Bibtext :
@misc{kabore:hal-01876894,
TITLE = {{Performance Comparison For Multi Class Classification Intrusion Detection In SCADA Systems Using Apache Spark}},
AUTHOR = {Kabore, Raogo and Kermarrec, Yvon and Lenca, Philippe},
URL = {https://hal.archives-ouvertes.fr/hal-01876894},
NOTE = {Poster},
HOWPUBLISHED = {{8th Global Techmining Conference}},
HAL_LOCAL_REFERENCE = {19212},
PAGES = {.},
YEAR = {2018},
MONTH = Sep,
KEYWORDS = {SCADA ; Multi Class ; Classification ; Intrusion detection ; Apache Spark},
HAL_ID = {hal-01876894},
HAL_VERSION = {v1},
}
Endnote :
%0 Conference Paper
%F Poster
%T Performance Comparison For Multi Class Classification Intrusion Detection In SCADA Systems Using Apache Spark
%+ Lab-STICC_IMTA_CID_IRIS
%+ Département Logique des Usages, Sciences sociales et Sciences de l'Information (LUSSI)
%+ Lab-STICC_IMTA_CID_DECIDE
%A Kabore, Raogo
%A Kermarrec, Yvon
%A Lenca, Philippe
%< sans comité de lecture
%Z 19212
%B 8th Global Techmining Conference
%C Leiden, Netherlands
%P .
%8 2018-09-09
%D 2018
%K SCADA
%K Multi Class
%K Classification
%K Intrusion detection
%K Apache Spark
%Z Statistics [stat]/Machine Learning [stat.ML]
%Z Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC]Poster communications
%X SCADA (Supervisory Control And Data Acquisition).are industrial control systems, that allow the monitoring and control of large indutrial systems. Those systems are more and more subject to cyber attacks due to their interconnexion with corporate networks and the Internet. We are comparing in this work the performances of a SCADA-specific Intrusion Detection system built with apache Spark, using Decision Tree, Naïve Bayes, Random Forest and Multilayer Perceptron approaches. Our Comparison criterias are the recall, specificity, precision, training time and detection time. The dataset used is obtained from a Modbus control system that monitors a water storage tank system. The dataset contains normal as well as different caregories of attack tuples. Our Intrusion Detection framework is a Hadoop cluster using Hive and the Spark ML library. The experimentation results show that the Decision Tree classifier has a very good detection rate (recall of 100 %) for all tuples categories except the Denial-of-Service (recall of 0). Decision Tree has also a fairly good training and detection time (7.84 s and 0.23 s respectively). The Random Forest also has a good detection rate for all classes apart DoS. But it has only 60% detection rate for the DoS class and longer training and detection. Naïve Bayes and Multilayer Perceptron have an overall poor classification results, but Naïve Bayes is very fast at training (2.96 s) and detecting (0.14 s) . Multilayer Perceptron on the other hand, while taking time to train (155.51 s) is very fast in the prediction phase (0.16 s).
%G English
%L hal-01876894
%U https://hal.archives-ouvertes.fr/hal-01876894
%~ INSTITUT-TELECOM
%~ TELECOM-BRETAGNE
%~ CNRS
%~ UNIV-BREST
%~ UNIV-UBS
%~ ENIB
%~ LAB-STICC
%~ IMT-ATLANTIQUE
%~ LAB-STICC_IMTA_CID_IRIS
%~ IMTA_LUSSI
%~ LAB-STICC_IMTA_CID_DECIDE
%~ LAB-STICC_IMTA
Article dans une revue
Berrouiguet Sofian, Le Moal Valérie, Guillodo Elise, Le Floch Alis, Lenca Philippe, Billot Romain, Walter Michel
Prévention du suicide et santé connectée - Vers la personnalisation des soins ?
Med Sci, 2018, 34 (8-9), pp.730 - 734. 〈10.1051/medsci/20183408021〉
Bibtext :
@article{berrouiguet:hal-01880867,
TITLE = {{Pr{\'e}vention du suicide et sant{\'e} connect{\'e}e - Vers la personnalisation des soins ?}},
AUTHOR = {Berrouiguet, Sofian and Le Moal, Val{\'e}rie and Guillodo, Elise and Le Floch, Alis and Lenca, Philippe and Billot, Romain and Walter, Michel},
URL = {https://hal.archives-ouvertes.fr/hal-01880867},
JOURNAL = {{Med Sci}},
HAL_LOCAL_REFERENCE = {19234},
VOLUME = {34},
NUMBER = {8-9},
PAGES = {730 - 734},
YEAR = {2018},
MONTH = Sep,
DOI = {10.1051/medsci/20183408021},
KEYWORDS = {Suicide ; Pr{\'e}vention ; Sant{\'e} connect{\'e}e ; Soins personnalis{\'e}s ; E-health ; Aide {\`a} la d{\'e}cision},
HAL_ID = {hal-01880867},
HAL_VERSION = {v1},
}
Endnote :
%0 Journal Article
%T Prévention du suicide et santé connectée - Vers la personnalisation des soins ?
%+ Lab-STICC_IMTA_CID_DECIDE
%+ Département Logique des Usages, Sciences sociales et Sciences de l'Information (LUSSI)
%+ 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)
%+ Hopital de Bohars - CHRU Brest (CHU - BREST )
%A Berrouiguet, Sofian
%A Le Moal, Valérie
%A Guillodo, Elise
%A Le Floch, Alis
%A Lenca, Philippe
%A Billot, Romain
%A Walter, Michel
%< avec comité de lecture
%Z 19234
%J Med Sci
%V 34
%N 8-9
%P 730 - 734
%8 2018-09
%D 2018
%R 10.1051/medsci/20183408021
%K Suicide
%K Prévention
%K Santé connectée
%K Soins personnalisés
%K E-health
%K Aide à la décision
%Z Computer Science [cs]/Computers and Society [cs.CY]
%Z Computer Science [cs]/Mobile Computing
%Z Computer Science [cs]/Ubiquitous Computing
%Z Life Sciences [q-bio]/Santé publique et épidémiologie
%Z Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health
%Z Statistics [stat]/Machine Learning [stat.ML]Journal articles
%X L'évaluation ponctuelle du risque suicidaire habituellement conduite aux urgences, après un geste suicidaire, ne rend pas compte de son évolution après la sortie des soins, alors même que le risque de récidive reste important plusieurs mois après. Dans ces conditions, les possibilités d'identification, et donc de prise en charge, des patients à risque suicidaire sont limitées. Le développement de la santé connectée (eHealth) donne désormais accès en temps réel à des informations sur l'état de santé d'un patient entre deux séjours en centre de soins. Cette extension de l'évaluation clinique à l'environnement du patient permet de développer des outils d'aide à la décision face à la gestion du risque suicidaire.
%G French
%L hal-01880867
%U https://hal.archives-ouvertes.fr/hal-01880867
%~ CNRS
%~ UNIV-BREST
%~ UNIV-UBS
%~ SANTE_PUB_INSERM
%~ INSTITUT-TELECOM
%~ ENIB
%~ TDS-MACS
%~ LAB-STICC
%~ IMT-ATLANTIQUE
%~ IMTA_LUSSI
%~ LAB-STICC_IMTA_CID_DECIDE
%~ SPURBO
%~ 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
Article dans une revue
Berrouiguet Sofian, Billot Romain, Lenca Philippe
Prévenir le suicide avec le numérique
TELECOM : revue de l'Association Telecom ParisTech alumni, 2018, pp.31 - 33
Bibtext :
@article{berrouiguet:hal-01875108,
TITLE = {{Pr{\'e}venir le suicide avec le num{\'e}rique}},
AUTHOR = {Berrouiguet, Sofian and Billot, Romain and Lenca, Philippe},
URL = {https://hal.archives-ouvertes.fr/hal-01875108},
JOURNAL = {{TELECOM : revue de l'Association Telecom ParisTech alumni}},
HAL_LOCAL_REFERENCE = {19205},
NUMBER = {189},
PAGES = {31 - 33},
YEAR = {2018},
MONTH = Jun,
KEYWORDS = {Esant{\'e} ; Pr{\'e}vention du suicide ; Suicide ; Psychiatrie ; Num{\'e}rique ; Sant{\'e}},
HAL_ID = {hal-01875108},
HAL_VERSION = {v1},
}
Endnote :
%0 Journal Article
%T Prévenir le suicide avec le numérique
%+ Lab-STICC_IMTA_CID_DECIDE
%+ Département Logique des Usages, Sciences sociales et Sciences de l'Information (LUSSI)
%+ Soins Primaires, Santé Publique, Registre des cancers de Bretagne Occidentale (SPURBO)
%+ Hopital de Bohars - CHRU Brest (CHU - BREST )
%A Berrouiguet, Sofian
%A Billot, Romain
%A Lenca, Philippe
%< sans comité de lecture
%Z 19205
%J TELECOM : revue de l'Association Telecom ParisTech alumni
%N 189
%P 31 - 33
%8 2018-06
%D 2018
%K Esanté
%K Prévention du suicide
%K Suicide
%K Psychiatrie
%K Numérique
%K Santé
%Z Computer Science [cs]/Mobile Computing
%Z Computer Science [cs]/Ubiquitous Computing
%Z Computer Science [cs]/Artificial Intelligence [cs.AI]
%Z Computer Science [cs]/Computers and Society [cs.CY]
%Z Humanities and Social Sciences/Methods and statistics
%Z Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health
%Z Statistics [stat]/Machine Learning [stat.ML]Journal articles
%X Plus de 10 000 personnes meurent en France par an de conduites suicidaires et 220 000 personnes réalisent un geste suicidaire (Observatoire National du Suicide, 2016). C'est ainsi que le développement de nouveaux outils de prévention est un enjeu majeur de santé publique et de recherche.
%G French
%L hal-01875108
%U https://hal.archives-ouvertes.fr/hal-01875108
%~ CNRS
%~ UNIV-BREST
%~ UNIV-UBS
%~ INSTITUT-TELECOM
%~ ENIB
%~ TDS-MACS
%~ LAB-STICC
%~ SHS
%~ IMT-ATLANTIQUE
%~ IMTA_LUSSI
%~ LAB-STICC_IMTA_CID_DECIDE
%~ SPURBO
%~ LAB-STICC_IMTA
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