| Smart Condition Monitoring for Industry 4.0 Manufacturing Processes: An Ontology-Based Approach Q Cao, F Giustozzi, C Zanni-Merk, F de Bertrand de Beuvron, C Reich Cybernetics and Systems 50 (2), 82-96, 2019 | 102 | 2019 |
| Context Modeling for Industry 4.0: an Ontology-Based Proposal F Giustozzi, J Saunier, C Zanni-Merk Procedia Computer Science 126, 675-684, 2018 | 97 | 2018 |
| Abnormal Situations Interpretation in Industry 4.0 using Stream Reasoning F Giustozzi, J Saunier, C Zanni-Merk Procedia Computer Science 159, 620-629, 2019 | 22 | 2019 |
| Detecting Situations with Stream Reasoning on Health Data Obtained with IoT M Bourgais, F Giustozzi, L Vercouter Procedia Computer Science 192, 507-516, 2021 | 10 | 2021 |
| A semantic framework for Condition Monitoring in Industry 4.0 based on Evolving Knowledge Bases F Giustozzi, J Saunier, C Zanni-Merk Semantic Web, 1-29, 2023 | 6 | 2023 |
| Stream Reasoning to Improve Decision-Making in Cognitive Systems CS de Oliveira, F Giustozzi, C Zanni-Merk, C Sanin, E Szczerbicki Cybernetics and Systems 51 (2), 214-231, 2020 | 5 | 2020 |
| STEaMINg: semantic time evolving models for industry 4.0 F Giustozzi Normandie, 2020 | 3 | 2020 |
| Recommender system of educational resources: A critiquing-based proposal F Giustozzi, A Casali, C Deco, HL dos Santos, C Cechinel 2016 XI Latin American Conference on Learning Objects and Technology (LACLO …, 2016 | 3 | 2016 |
| OntoSoC: An ontology-based approach to battery pack SoC estimation AE Hamouni, F Giustozzi, A Samet, A Ayadi, S Arbaoui, T Mesbahi Procedia Computer Science 225, 2254-2263, 2023 | 2 | 2023 |
| Towards the use of Situation Hierarchies for supporting Decision Making: A Formal Lattice-Based Approach F Giustozzi, J Saunier, C Zanni-Merk In Proceedings of the 14th International Rule Challenge (RuleML+RR 2020) as …, 2020 | 2 | 2020 |
| Artificial Intelligence for Quality Assurance and Troubleshooting in Industry R Hoffmann, S Arbaoui, L Charbonnier, A Hidouri, A Ayadi, F Giustozzi, ... Proceedings of the Upper-Rhine Artificial Intelligence Symposium, 2024 | | 2024 |
| Towards a Semantic Approach to Detection of Quality Issues in Manufacturing 4.0 L Charbonnier, F Giustozzi, J Saunier, C Zanni-Merk Procedia Computer Science 246, 2439-2448, 2024 | | 2024 |
| Explainability of Quality Issues in Manufacturing: a Semantic Based Approach L Charbonnier, F Giustozzi, J Saunier, C Zanni-Merk | | 2024 |
| Fouille de séries temporelles pour l'explicabilité de la dégradation de l'état de charge des batteries Lithium-ion M Venuti, A Samet, T Mesbahi, F Giustozzi, T Heitzmann EGC 2023, 23e conférence francophone sur l'extraction et la gestion des …, 2023 | | 2023 |
| Towards the use of post-hoc explainable methods to define and detect semantic situations of importance in medical data M Bourgais, F Giustozzi, L Vercouter, C Zanni-Merk Procedia Computer Science 225, 2312-2321, 2023 | | 2023 |
| Identification des motifs de dégradation des cellules lithium-ion par une approche d’explicabilité post-hoc F Giustozzi, T Mesbahi, A Samet Journée Inter GDR Diagnostic/pronostic des systèmes industriels, Paris, France, 2022 | | 2022 |
| Users opinions about Learning Object Recommendations: a case study HL dos Santos, C Cechinel, F Giustozzi, A Casali, C Deco 2016 International Symposium on Computers in Education (SIIE), 1-6, 2016 | | 2016 |
| Users opinions about Learning Object Recommendations: a case study HL Santos, F Giustozzi, C Cechinel, C Deco, A Casali Ediciones Universidad de Salamanca (España), 2016 | | 2016 |
| Detecting situations of importance with Stream Reasoning on live health IoT data M Bourgais, F Giustozzi, L Vercouter | | |
