- S. Reyd, A. Diaconescu and J.-L. Dessalles, "Finding relevant causes in complex systems: A generic method adaptable to users and contexts," 2025 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), Tokyo, Japan, 2025 (accepted).
- S. Reyd, A. Diaconescu and J.-L. Dessalles, "Searching for actual causes: Approximate algorithms with adjustable precision," arXiv preprint arXiv:2507.07857, doi: 10.48550/arXiv.2507.07857.
- S. Reyd, A. Diaconescu and J.-L. Dessalles, "CIRCE: a Scalable Methodology for Causal Explanations in Cyber-Physical Systems," 2024 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), Aarhus, Denmark, 2024, pp. 81-90, doi: 10.1109/ACSOS61780.2024.00026.
- S. Reyd, A. Diaconescu, J.-L. Dessalles and L. Esterle, "A Roadmap for Causality Research in Complex Adaptive Systems," 2024 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C), Aarhus, Denmark, 2024, pp. 35-40, doi: 10.1109/ACSOS-C63493.2024.00027.
- P. A. K. K. Diallo, S. Reyd and A. Zouaq, "A Comprehensive Evaluation of Neural SPARQL Query Generation From Natural Language Questions," in IEEE Access, vol. 12, pp. 125057-125078, 2024, doi: 10.1109/ACCESS.2024.3453215
- S. Reyd, A. Zouaq (2023). Assessing the Generalization Capabilities of Neural Machine Translation Models for SPARQL Query Generation. In: Payne, T.R., et al. The Semantic Web – ISWC 2023. ISWC 2023. Lecture Notes in Computer Science, vol 14265. Springer, Cham, doi: 10.1007/978-3-031-47240-4_26.
- R. Hirigoyen, A. Zouaq, and S. Reyd. 2022. A Copy Mechanism for Handling Knowledge Base Elements in SPARQL Neural Machine Translation. In Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, pages 226–236, Online only. Association for Computational Linguistics, doi:10.18653/v1/2022.findings-aacl.22.