| Overview of JET results for optimising ITER operation J Mailloux, N Abid, K Abraham, P Abreu, O Adabonyan, P Adrich, ... Nuclear fusion 62 (4), 042026, 2022 | 86 | 2022 |
| Progress from ASDEX Upgrade experiments in preparing the physics basis of ITER operation and DEMO scenario development U Stroth, D Aguiam, E Alessi, C Angioni, N Arden, RA Parra, V Artigues, ... Nuclear Fusion 62 (4), 042006, 2022 | 28 | 2022 |
| Evaluation of performance portability frameworks for the implementation of a particle‐in‐cell code V Artigues, K Kormann, M Rampp, K Reuter Concurrency and Computation: Practice and Experience 32 (11), e5640, 2020 | 28 | 2020 |
| A shapelet-based neural network for binary and multi-class disruption prediction for prevention at JET V Artigues, PC de Vries, F Jenko, JET Contributors Physics of Plasmas 30 (8), 2023 | 1 | 2023 |
| Multi-Class and Cross-Tokamak Disruption Prediction using Shapelet-Based Neural Networks VMA Artigues Max-Planck-Institut für Plasmaphysik, 2024 | | 2024 |
| TUM School of Computation, Information and Technology VMA Artigues Universität München, 2023 | | 2023 |
| Multi-class disruption prediction at JET using a shapelet based neural-network V Artigues, F Jenko, JET Contributors DPG-Tagung der Sektion Materie und Kosmos (SMuK), 2021 | | 2021 |
| Investigation of disruptions at JET using interpretable machine learning methods V Artigues, F Jenko DPG, 2020 | | 2020 |
| Analysis of disruption prediction methods on a per disruption-cause basis V Artigues, F Jenko DPG-Frühjahrstagung 2019 der Sektion Materie und Kosmos (SMuK), 2018 | | 2018 |
| Color Grading with Neural Network V Artigues 2017 19th International Symposium on Symbolic and Numeric Algorithms for …, 2017 | | 2017 |
| Volume Estimation in Point Cloud using Multi-Agent System V Artigues 2017 19th International Symposium on Symbolic and Numeric Algorithms for …, 2017 | | 2017 |
