Elena Raponi
Universitair docent
- Naam
- Dr. E. Raponi
- Telefoon
- 071 5272727
- e.raponi@liacs.leidenuniv.nl
Elena Raponi is universitair docent Bayesian Optimization aan het Leiden Institute of Advanced Computer Science (LIACS). Voorheen hield ze bij LIACS een positie als postdoctoraal onderzoeker in de Natural Computing Research Group. Ze promoveerde in mei 2021 in Science Technology en Wiskunde, aan de Universiteit van Camerino in Italië.
Universitair docent
- Faculteit der Wiskunde en Natuurwetenschappen
- LIACS
- Preintner T.P., Yuan W., Huang Q., König A., Bäck T.H.W., Raponi E. & Stein N. van (2025), Why Are You Wrong? Counterfactual Explanations for Language Grounding with 3D Objects, 2025 International Joint Conference on Neural Networks (IJCNN). 2025 International Joint Conference on Neural Networks (IJCNN) 30 juni 2025 - 5 juli 2025: IEEE. 1-9.
- Preintner T.P., Yuan W., König A., Bäck T.H.W., Raponi E. & Stein N. van (2025), EvoCAD: Evolutionary CAD Code Generation with Vision Language Models, 2025 IEEE 37th International Conference on Tools with Artificial Intelligence (ICTAI). 2025 37th International Conference on Tools with Artificial Intelligence (ICTAI) 3 november 2025 - 5 november 2025: IEEE. 504-511.
- Raponi Elena, Olarte Rodriguez Ivan & Stein Niki van (2025), Global Sensitivity Analysis Is Not Always Beneficial for Evolutionary Computation: A Study in Engineering Design. In: Stein Niki van & Kononova Anna (red.), Explainable AI for Evolutionary Computation. Natural Computing Series: Springer Nature Singapore. 13-40.
- Olarte Rodriguez Ivan, Serhat Gokhan, Bujny Mariusz, Duddeck Fabian, Bäck Thomas & Raponi Elena (2025), Optimization Is not Enough: Why Problem Formulation Deserves Equal Attention. 17th International Conference on Evolutionary Computation Theory and Applications (ECTA 2025) 22 oktober 2025 - 24 oktober 2025.
- Huang H.-M., Raponi E., Duddeck F., Menzel S. & Bujny M. (2024), Topology optimization of periodic structures for crash and static load cases using the evolutionary level set method, Optimization and Engineering 25: 1597-1630.
- van Stein Bas Raponi Elena (2022), GSAreport: Easy to Use Global Sensitivity Reporting, The Journal of Open Source Software 7: 4721.
- Yarkoni S., Raponi E., Bäck T.H.W. & Schmitt S. (2022), Quantum annealing for industry applications: introduction and review, Reports on Progress in Physics 85(10): 104001.
- Stein B. van, Raponi E., Sadeghi Z., Bouman N., Ham R.C.H.J. van & Bäck T.H.W. (2022), A comparison of global sensitivity analysis methods for explainable AI with an application in genomic prediction, IEEE Access 10: 103364-103381.
- Stein B. van & Raponi E. (2022), GSAreport: easy to use global sensitivity reporting, Journal of Open Source Software 7(78): 4721.