Information and decision systems

Publications

2021

Articles de revue

  1. Achich, N.; Ghorbel, F.; Hamdi, F. c.; Metais, E. and Gargouri, F. Certain and Uncertain Temporal Data Representation and Reasoning in OWL 2. In International Journal on Semantic Web and Information Systems, 2021. doi  www 

Articles de conférence

  1. Hannou, F-Z.; Atigui, F.; Lammari, N. and Cherfi, S. S-s. SafecareOnto: A Cyber-Physical Security Ontology for Healthcare Systems. In DEXA 2021 : Database and Expert Systems Applications, pages 22-34, Springer International Publishing, Linz (Virtual event), Australia, Lecture Notes in Computer Science 12924, 2021. doi  www 
  1. Kornyshova, E. and Barrios, J. Process-oriented Knowledge Representation of the Requirement Management Phase of TOGAF-ADM: an Empirical Evaluation. In International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2021), Szczecin, Poland, 2021. www 
  1. Kornyshova, E. and Gressier-Soudan, E. Introducing Sentient Requirements for Information Systems and Digital Technologies. In 18th European Mediterranean & Middle Eastern Conference on Information Systems (EMCIS 2021), Springer, Dubai, United Arab Emirates, Lecture Notes in Business Information Processing, vol. 437 , 2021. doi  www 
  1. Achich, N.; Ghorbel, F.; Hamdi, F. c.; Metais, E. and Gargouri, F. Dealing with Uncertain and Imprecise Time Intervals in OWL2: A Possibility Theory-Based Approach. In International Conference on Research Challenges in Information Science, Limassol, Cyprus, 2021. doi  www 
  1. Souibgui, M.; Atigui, F.; Ben Yahia, S. and Si-Said Cherfi, S. IRIS-DS: A New Approach for Identifiers and References Discovery in Document Stores. In 54th Hawaii International Conference on System Sciences (HICSS 2021), pages 970-979, HICSS, Hawaii, United States, Big Data and Analytics: Pathways to Maturity , 2021. doi  www 
  1. Déneckère, R.; Kornyshova, E. and Hug, C. A Framework for Comparative Analysis of Intention Mining Approaches. In International Conference on Research Challenges in Information Science (RCIS), pages 20-37, Springer, Limassol, Cyprus, Research Challenges in Information Science. RCIS 2021. Lecture Notes in Business Information Processing, vol 415 , 2021. doi  www 

2020

Articles de revue

  1. Silberztein, M.; Metais, E.; Meziane, F. and Atigui, F. Preface of the Data & Knowledge Engineering special issue following NLDB'18. In Data and Knowledge Engineering (127): 101775, 2020. doi  www 
  1. Ghorbel, F.; Hamdi, F. c.; Achich, N. and Metais, E. Handling data imperfection-False data inputs in applications for Alzheimer's patients. In Data and Knowledge Engineering, 131: 101864, 2020. doi  www 
  1. Dupuis, D.; Du Mouza, C.; Travers, N. and Chareyron, G. Real-Time Influence Maximization in a RTB Setting. In Data Science and Engineering, 5 (3): 224-239, 2020. doi  www 
  1. Ghorbel, F.; Hamdi, F. c. and Metais, E. Dealing with Precise and Imprecise Temporal Data in Crisp Ontology. In International Journal of Information Technology and Web Engineering, 15 (2): 30-49, 2020. doi  www 

Articles de conférence

  1. Achich, N.; Ghorbel, F.; Hamdi, F. c.; Metais, E. and Gargouri, F. Approach to Reasoning about Uncertain Temporal Data in OWL 2. In 24th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES), pages 1141-1150, Elsevier, Verona, Italy, Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES2020 176, 2020. doi  www 
  1. Debure, J.; Brunessaux, S.; Constantin, C. and Du Mouza, C. A pattern-based Approach for an Early Detection of Popular Twitter Accounts. In International Database Engineering & Applications Symposium (IDEAS), Séoul, France, 2020. doi  www 
  1. Mali, J.; Atigui, F.; Azough, A. and Travers, N. ModelDrivenGuide: An Approach for Implementing NoSQL Schemas. In International Conference, DEXA 2020, pages 141-151, Springer, Bratislava, Slovakia, DEXA 2020: Database and Expert Systems Applications , 2020. doi  www 
  1. Kornyshova, E. and Barrios, J. Industry 4.0 Impact Propagation on Enterprise Architecture Models. In 24th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2020), Verona, Italy, 2020. www 
  1. NEJI, M.; Ghorbel, F.; GARGOURI, B.; Mimouni, N. and Metais, E. A Multilingual Linguistic Domain Ontology. In The 34th Pacific Asia Conference on Language, Information and Computation (PACLIC 34), Hanoi, Vietnam, 2020. www 
  1. Paris, P-H.; Hamdi, F. c.; Niraula, N. and Si-Said, S. Contextual Propagation of Properties for Knowledge Graphs. In The Semantic Web - ISWC 2020 - 19th International Semantic Web Conference, pages 494-510, Springer, Athens, Greece, 2020. doi  www 
  1. Paris, P-H.; Hamdi, F. c. and Cherfi, S. S-s. OntoSemStats: An Ontology to Express the Use of Semantics in RDF-Based Knowledge Graphs. In Web Engineering - 20th International Conference, ICWE 2020, pages 561-565, Springer, Helsinki, Finland, 2020. doi  www 
  1. Akoka, J.; Comyn-Wattiau, I.; Lamass'E, S. and Du Mouza, C. Contribution of conceptual modeling to enhancing historians' intuition : application to prosopography. In ER 2020 : 39th International Conference on Conceptual Modeling, pages 164-173, Springer, Vienne, Austria, ER 2020: Conceptual Modeling , 2020. doi  www 

Divers

  1. Souibgui, M.; Atigui, F.; Yahia, S. B. and Si-Said Cherfi, S. Business Intelligence and Analytics: On-demand ETL over Document Stores. , Poster. doi  www 

2019

Articles de revue

  1. Ghorbel, F.; Hamdi, F. c.; Metais, E.; Ellouze, N. and Gargouri, F. Ontology-Based Representation and Reasoning about Precise and Imprecise Temporal Data: a Fuzzy-Based View~. In Data and Knowledge Engineering, 124: 101719, 2019. doi  www 

Articles de conférence

  1. Lammari, N.; Legrand, V.; Jaramillo Rojas, G. E. and ATIG, O. An Ontology for cyber incident root cause analysis from event logs. In 34th IBIMA Conference, Madrid, Spain, 2019. www 
  1. Achich, N.; Ghorbel, F.; Hamdi, F. c.; Metais, E. and Gargouri, F. A Typology of Temporal Data Imperfection. In 11th International Conference on Knowledge Engineering and Ontology Development (KEOD 2019), pages 305-311, SciTePress - Science and Technology Publications, Vienna, Austria, 2019. doi  www 
  1. Ghorbel, F.; Hamdi, F. c. and Metais, E. Temporal Relations Between Imprecise Time Intervals: Representation and Reasoning. In ICCS 2019 International Conference on Conceptual Structures, Springer, Marburg, Germany, 2019. doi  www 
  1. Ghorbel, F.; Hamdi, F. c. and Metais, E. Ontology-Based Representation and Reasoning about Precise and Imprecise Time Intervals. In 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pages 1-8, IEEE, New Orleans, United States, 2019. doi  www 
  1. Dupuis, D.; Du Mouza, C.; Travers, N. and Chareyron, G. RTIM: a Real-Time Influence Maximization Strategy. In Web Information Systems Engineering -- WISE 2019, Hong-Kong, China, 2019. doi  www 
  1. Wali, W.; Ghorbel, F.; GARGOURI, B.; Hamdi, F. c. and Metais, E. A Multilingual Semantic Similarity-Based Approach for Question-Answering Systems. In International Conference on Knowledge Science, Engineering and Management KSEM 2019, Springer, Athènes, Greece, 2019. doi  www 
  1. Grossetti, Q.; Du Mouza, C. and Travers, N. Community-based Recommendations on Twitter: Avoiding The Filter Bubble. In Web Information Systems Engineering -- WISE 2019, Hong-Kong, China, 2019. doi  www 
  1. Ghorbel, F.; Wali, W.; Hamdi, F. c.; Metais, E. and GARGOURI, B. Visualizing Readable Instance Graphs of Ontology with Memo Graph. In ICONIP 2019. International Conference on Neural Information Processing, pages 127-139, Springer, Sydney, Australia, 2019. doi  www 
  1. Achich, N.; Ghorbel, F.; Hamdi, F. c.; Metais, E. and Gargouri, F. Representing and Reasoning About Precise and Imprecise Time Points and Intervals in Semantic Web: Dealing with Dates and Time Clocks. In International Conference on Database and Expert Systems Applications (DEXA 2019), Springer, Linz, Austria, Database and Expert Systems Applications 30th International Conference, DEXA 2019, Linz, Austria, August 26--29, 2019, Proceedings, Part II , 2019. doi  www 
  1. Kornyshova, E. and Barrios, J. Exploring the Impact produced by the Industry 4.0 on Enterprise Architecture Models. In Research Challenges in Information Science, pages 1-6, IEEE, Brussels, Belgium, 2019. doi  www 
  1. Issa, S.; Paris, P-H.; Hamdi, F. c. and Si-Said Cherfi, S. Revealing the Conceptual Schemas of RDF Datasets. In 31st International Conference, CAiSE 2019, pages 312-327, Springer, Rome, Italy, 2019. doi  www 
  1. Souibgui, M.; Atigui, F.; ZAMMALI, S.; Si-Said Cherfi, S. and Yahia, S. B. Data quality in ETL process: A preliminary study. In 23rd International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, pages 676-687, Elsevier, Budapest, Hungary, 2019. doi  www 
  1. Issa, S.; Hamdi, F. c. and Si-Said Cherfi, S. Enhancing the Conciseness of Linked Data by Discovering Synonym Predicates. In Knowledge Science, Engineering and Management (KSEM), pages 739-750, Springer International Publishing, Athens, Greece, 2019. doi  www 
  1. Paris, P-H.; Hamdi, F. c. and Cherfi, S. S-s. Interlinking RDF-based datasets: A structure-based approach. In 23rd International Conference KES-2019, pages 162-171, Elsevier, Budapest, Hungary, 2019. doi  www 
  1. Akoka, J.; Comyn-Wattiau, I.; Lamassé, S. and Du Mouza, C. Modeling historical social networks databases. In Hawaii International Conference on System Sciences, pages ., Hawaii, United States, 2019. www 

2018

Articles de revue

  1. Pozo, M.; Chiky, R.; Meziane, F. and Metais, E. Exploiting Past Users' Interests and Predictions in an Active Learning Method for Dealing with Cold Start in Recommender Systems. In Informatics, 5 (3): 35, 2018. doi  www 
  1. Metais, E.; Ghorbel, F.; Hamdi, F. c.; Ellouze, N.; Herradi, N. and Soukane, A. Representing Imprecise Time Intervals in OWL 2. In Enterprise Modelling and Information Systems Architectures, 13, 2018. doi  www 

Articles de conférence

  1. DIA, A. F.; Ulbricht Togbe, M.; Boly, A.; Kasi-Aoul, Z. and Metais, E. Efficient Graph-Oriented Summary for Optimized Resource Description Framework Streams Processing Using Extended Centrality Measures. In ICDM 2018 : 20th International Conference on Data Mining, pages 1430-1441, Istamboul, Turkey, 2018. www 
  1. DIA, A. F.; Aoul, Z. K.; Boly, A. and Metais, E. Fast SPARQL join processing between distributed streams and stored RDF graphs using bloom filters. In 2018 12th International Conference on Research Challenges in Information Science (RCIS), pages 1-12, IEEE, Nantes, France, 2018. doi  www 
  1. Ghorbel, F.; Metais, E. and Hamdi, F. c. A Crisp-Based Approach for Representing and Reasoning on Imprecise Time Intervals in OWL 2. In ISDA 2018 2018: Intelligent Systems Design and Applications, Springer, Vellore, India, Advances in Intelligent Systems and Computing 941, 2018. doi  www 
  1. Grossetti, Q.; Constantin, C.; Du Mouza, C. and Travers, N. An Homophily-based Approach for Fast Post Recommendation in Microblogging Systems. In 21st International Conference on Extending Database Technology (EDBT 2018), pages 229-240, Vienne, Austria, 2018. doi  www 
  1. Chaaya, G.; Abou Abdo, J.; Metais, E.; Chiky, R.; DEMERJIAN, J. and Barbar, K. Comparison of the Non-Personalized Active Learning Strategies Used in Recommender Systems. In European, Mediterranean, and Middle Eastern Conference on Information Systems EMCIS 2018: Information Systems, pages 443-456, Springer, Limassol, Cyprus, EMCIS 2018: Information Systems , 2018. doi  www 

2017

Articles de revue

  1. Kornyshova, E.; Deneckere, R. and Iacovelli, A. Intégration progressive de composants des méthodes agiles : Retour déxpérience. In Revue des Sciences et Technologies de l'Information - Série ISI : Ingénierie des Systèmes d'Information, 22 (2): 9-13, 2017. doi  www 

Articles de conférence

  1. Li, Y.; Constantin, C. and Du Mouza, C. SGVCut: A Vertex-Cut Partitioning Tool for RandomWalks-based Computations over Social Network graphs. In International Conference on Scientific and Statistical Database Management, SSDBM, pages 39:1-39:4, Chicago, United States, 2017. doi  www 
  1. Feliachi, A.; Abadie, N. and Hamdi, F. c. An Adaptive Approach for Interlinking Georeferenced Data. In Knowledge Capture Conference, K-CAP, pages 1-8, ACM Press, Austin, United States, 2017. doi  www 
  1. Si-Said Cherfi, S.; Hamdi, F. c.; Rigaux, P.; Thion, V. and Travers, N. Formalizing quality rules on music notation. An ontology-based approach. In International Conference on Technologies for Music Notation and Representation - TENOR'17, Coruna, Spain, 2017. www 
  1. Cherfi, S. S-s.; Guillotel, C.; Hamdi, F. c.; Rigaux, P. and Travers, N. Ontology-Based Annotation of Music Scores. In Knowledge Capture Conference, pages 1-4, ACM Press, Austin, France, 2017. doi  www 

Communications

Publications

2021

Articles de conférence

  1. Hannou, F-Z.; Atigui, F.; Lammari, N. and Cherfi, S. S-s. Modelling Cyber-Physical Security in Healthcare Systems. In CAiSE 2021 Forum, pages 100-108, Springer, Melbourne, Australia, Lecture Notes in Business Information Processing, vol 424. 424, 2021. doi  www 
  1. Benramdane, M. K.; Maupas, H.; Kornyshova, E. and Banerjee, S. Business Recommender System through Matchmaking with Supervised Machine Learning in Distributed Digital Platforms: Energy Complexity Analysis. In 8th International Conference on Future Internet of Things and Cloud (FiCloud), pp. 372-376, Rome, Italy, 2021. doi  www 

2020

Articles de conférence

  1. Akoka, J.; Comyn-Wattiau, I. and du Mouza, C. 'Evaluer la crédibilité des sources historiques. In Atelier EGC DAHLIA, Bruxelles, France, 2020. www 
  1. Achich, N. Dealing with Data Imperfection in OWL 2 - Application to Alzheimer's Patients. In The 19th International Semantic Web Conference (ISWC) Doctoral Consortuim, pages http://ceur-ws.org/Vol-2798/paper5.pdf, Athens, Greece, 2020. www 
  1. Atigui, F.; Hamdi, F. c.; Hannou, F-Z.; Lammari, N.; Mimouni, N. and Si-Said, S. Managing Cyber-physical Incidents Propagation in Health Services. In Research Challenges in Information Science: RCIS 2020, Springer, Limassol, Cyprus, Research Challenges in Information Science 14th International Conference, RCIS 2020, Limassol, Cyprus, September 23--25, 2020, Proceedings , 2020. www 
  1. Paris, P-H.; Hamdi, F. c. and Si-Said Cherfi, S. A Study About the Use of OWL 2 Semantics in RDF-Based Knowledge Graphs. In The Semantic Web: ESWC 2020 Satellite Events, pages 181-185, Heraklion, Greece, 2020. doi  www 

2019

Articles de conférence

  1. Constantin, C.; Du Mouza, C. and Li, Y. A Label-based Edge Partitioning for Multi-Layer Graphs. In 52nd Hawaii International Conference on System Sciences (HICSS 2019), pages 2216-2225, HICSS, Maui, Hawaii, United States, 2019. doi  www 
  1. Ghorbel, F.; Metais, E. and Hamdi, F. c. Estimating the Believability of Uncertain Data Inputs in Applications for Alzheimer's Disease Patients. In Natural Language Processing and Information Systems, pages 208-219, Springer, Salford, United Kingdom, 2019. doi  www 
  1. Akoka, J. and Comyn-Wattiau, I. Evaluation of Big Data governance : combining a multi-criteria approach and systems theory. In IEEE World Congress on Services 2019, pages 398-399, IEEE, Milan, Italy, 2019. doi  www 
  1. Akoka, J.; Comyn-Wattiau, I.; Du Mouza, C. and Prat, N. Design science research for the humanities. The case of prosopography. In International Conference on Design Science Research in Information Systems and Technology, pages 239-253, Springer, Worcester, United States, 2019. doi  www 

2018

Articles de conférence

  1. Ghorbel, F.; Metais, E.; Hamdi, F. c. and Ellouze, N. An Incremental Extraction and Visualization of Ontology Instance Summaries with Memo Graph. In SETIT 2018, pages 94-104, Springer, Gênes, Italy, 2018. doi  www 
  1. Kornyshova, E. and Barrios, J. Visual Representation of the TOGAF Requirements Management Process. In ER Workshops, 5th International Workshop on Conceptual Modeling in Requirements and Business Analysis (MREBA 2018), pages 239-248, Springer, Xi'an, China, 2018. doi  www 
  1. Paris, P-H.; Abadie, N. and Brando, C. Georeferencing historical ressources. In Time Machine conference, Lausanne, Switzerland, 2018. www 
  1. Ghorbel, F.; Metais, E.; Hamdi, F. c. and Ellouze, N. A Memory Training for Alzheimer Patients. In SETIT 2018, pages 410-419, Gênes, Italy, 2018. doi  www 

2017

Articles de conférence

  1. Fadili, H.; Jouis, C.; Ganascia, J-G.; Atanassova, I.; Yang, B. and Bertin, M. Contextual Exploration (EC3): a strategy for the detection, extraction and visualization of target data. In 4th International Conference on Big Data Analysis and Data Mining, pages 67, Paris, France, Journal of Computer Engineering & Information Technology 6, 2017. doi  www 
  1. Jouis, C.; Fadili, H.; Ganascia, J-G.; Yang, B.; Bertin, M. and Atanassova, I. EC3 : Un démonstrateur fondé sur l'Exploration Contextuelle des données Textuelles pour la détection et la visualisation des informations cibles. In Big Data Mining and Visualization, Lille, France, 2017. www 
  1. Issa, S.; Paris, P-H. and Hamdi, F. c. Assessing the Completeness Evolution of~DBpedia: A Case Study. In Advances in Conceptual Modeling - ER 2017 Workshops AHA, MoBiD, MREBA, OntoCom, and QMMQ, pages 238-247, Springer, Valencia, Spain, 2017. doi  www 
  1. Navarro, J.; Legrand, V.; Lagraa, S.; Franc cois, J.; Lahmadi, A.; De Santis, G.; Festor, O.; Lammari, N.; Hamdi, F. c.; Deruyver, A.; Goux, Q.; Allard, M. and Parrend, P. HuMa: A Multi-layer Framework for Threat Analysis in a Heterogeneous Log Environment. In 10th international symposium on foundations and practice of security, pages 144-159, Nancy, France, 2017. doi  www 
  1. Feliachi, A.; Abadie, N. and Hamdi, F. c. Assessing the Positional Planimetric Accuracy of~DBpedia Georeferenced Resources. In 4th workshop Quality of Models and Models of Quality (QMMQ 2017), pages 227-237, Springer, Valencia, Spain, 4th workshop Quality of Models and Models of Quality (QMMQ 2017) in conjunction with the 36th International Conference on Conceptual Modeling (ER2017) 10651, 2017. doi  www 

Softwares and patents

Publications

Ongoing projects

POLIFONIA
  • Full name: POLIFONIA: POLIFONIA - Funder: Commission européenne
  • Duration: January 2021 - April 2024
  • Description: Polifonia met en œuvre un écosystème numérique pour le patrimoine musical européen : des objets musicaux ainsi que des connaissances pertinentes sur leur culture et le contexte historique, exprimés dans différentes langues et styles, et à travers les siècles. L'écosystème comprendra des méthodes, des outils, des lignes directrices, expériences et conceptions créatives, ouvertement partagées. L'objectif est de provoquer un changement de paradigme dans le patrimoine musical préservation, gestion, étude, interaction et exploitation. Dix pilotes, entre cloches historiques et orgue patrimoine, classement des la musique notée polyphonique, au rôle historique de la musique dans la vie des enfants, conduiront au développement de l'écosystème grâce à une validation de ses technologies. Le projet est conçu par un équipe interdisciplinaire de chercheurs et conservateurs passionnés : informaticiens, anthropologues et ethnomusicologues, historiens de la musique, linguistes, archivistes du patrimoine musical, catalogueurs et administrateurs, et professionnels de la création.
DAPHNE
  • Full name: ANR DAPHNE: DAPHNE - Funder: ANR
  • Duration: October 2017 - February 2023
  • Description:
JURAI 2022
  • Full name: L'IA pour l'accès au réseau de textes JURidiques: JURAI 2022 - Funder: Laboratoire Cédric
  • Duration: January 2022 - December 2022
  • Description: Le projet vise à prendre en compte la compléxité des textes juridiques (dimensions sémantique et intertextuelle) dans un système d'accès à l'information pour les utilisateurs du droit.
IRSN
  • Full name: Développement situationel de la cartographie emmersive étendue: IRSN - Funder: IRSN
  • Duration: November 2021 - November 2022
  • Description: Elaboration et la mise en place d’une approche situationnelle pour le développement de la Cartographie Immersive Etendue pour valorisation de l’équipement technologique
ISID 2022
  • Full name: Soutien équipe ISID 2022: ISID 2022 - Funder: Laboratoire Cédric
  • Duration: January 2022 - December 2022
  • Description:

Past projects

    • Full name: Ingénierie des systèmes d'information et de décision 2021
    • Duration: January 2020 - December 2021
    • Description:

    • Full name: Conception et développement de jeux pervasifs adaptables avec prise en compte des états émotionnels des joueurs
    • Duration: January 2021 - December 2021
    • Description: Le profil du joueur, y compris ses émotions, impacte la conception des jeux. Afin de proposer une meilleure expérience aux joueurs et de proposer un jeu particularisé, le jeu doit être adaptable en fonction du contexte global du joueur. Le projet vise dans une approche holistique qui combine à la fois l’individu et ses émotions, et, les influences de l’entourage qui va du bâtiment lui-même à l’atmosphère que dégage le lieu. . Il s’agit en premier lieu d’élaborer un modèle conceptuel du jeu pervasif adaptable basé sur les émotions. La deuxième étape sera de développer une approche d’ingénierie situationnelle du Système d’Information pour ces jeux. L’approche doit être appliquée au domaine des jeux pervasifs mais rester en même temps assez générique pour pouvoir être par la suite étendue aux autres domaines (par exemple, aux jeux dans le contexte médical ou d’apprentissage). La dernière étape sera consacrée à la mise en place de la plateforme correspondante.

    • Full name: Machine Learning to Explain Security Incidents
    • Duration: January 2021 - December 2021
    • Description: Collaboration des équipes ISID (Nadira Lammari, Nada Mimouni, Hammou Fadili), MSDMA (Nicolas Thome) and EE SD (Véronique Legrand) Il y a, de nos jours, une réelle prise de conscience que la sécurité n’est jamais acquise. Comme souligné par les professionnels de la cybersécurité, face à la complexité et la prolifération des attaques, une surveillance continue de la sécurité du Système d’Information (SI) est plus que jamais nécessaire. Cet objectif nécessite la mise en œuvre de plusieurs activités, y compris l’analyse des causes profondes des incidents de sécurité, connue sous l’acronyme anglais RCA (Root Cause Analysis). Dans le cadre de ce projet, nous souhaitons tirer profit de la capacité du « Machine Learning » (ML) à apprendre de masses de données et des capacités de raisonnement humain dans des contextes complexes afin de concevoir et mettre en œuvre une approche guidée qui aide, non seulement, à l’explication les incidents de sécurité mais qui apprend et transmet également les connaissances et les compétences métier. La transmission des connaissances en analyse de la sécurité fournira aux experts en sécurité des capacités défensives et offensives. La transmission des compétences en ML donnera aux experts en sécurité plus d’autonomie dans le choix l’orchestration et le calibrage des algorithmes.

    • Full name: HUMA
    • Duration: March 2015 - August 2019
    • Description:

    • Full name: SAFECARE
    • Duration: September 2018 - August 2021
    • Description:

    • Full name: AIRBUS J. DEBURE
    • Duration: February 2018 - January 2021
    • Description:

Top