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Author

Alexander Garzón

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#graph neural networks Dataset Open access Oct 2026

Data for thesis chapter "Suitability assessment of GNN-based metamodels for BGI allocation"

This dataset supports Chapter 5, Suitability assessment of GNN-based metamodels for BGI allocation, of the PhD thesis Metamodeling of Urban Drainage Systems with Graph Neural Networks (Delft University of Technology), by Alexander Garzón, Zoran Kapelan, Jeroen Langeveld and Riccardo Taormina. The chapter assesses wheth...

Alexander Garzón, Zoran Kapelan, Jeroen Langeveld et al. · 0 citations
#graph neural networks Dataset Open access Oct 2026

Data for thesis chapter "Suitability assessment of GNN-based metamodels for BGI allocation"

This dataset supports Chapter 5, Suitability assessment of GNN-based metamodels for BGI allocation, of the PhD thesis Metamodeling of Urban Drainage Systems with Graph Neural Networks (Delft University of Technology), by Alexander Garzón, Zoran Kapelan, Jeroen Langeveld and Riccardo Taormina. The chapter assesses wheth...

Alexander Garzón, Zoran Kapelan, Jeroen Langeveld et al. · 0 citations
#graph neural networks Open access Oct 2026

Code for thesis chapter "Suitability assessment of GNN-based metamodels for BGI allocation"

This software supports Chapter 5, Suitability assessment of GNN-based metamodels for BGI allocation, of the PhD thesis Metamodeling of Urban Drainage Systems with Graph Neural Networks (Delft University of Technology), by Alexander Garzón, Zoran Kapelan, Jeroen Langeveld and Riccardo Taormina. The chapter assesses whet...

Alexander Garzón, Zoran Kapelan, Jeroen Langeveld et al. · 0 citations
#graph neural networks Open access Oct 2026

Code for thesis chapter "Suitability assessment of GNN-based metamodels for BGI allocation"

This software supports Chapter 5, Suitability assessment of GNN-based metamodels for BGI allocation, of the PhD thesis Metamodeling of Urban Drainage Systems with Graph Neural Networks (Delft University of Technology), by Alexander Garzón, Zoran Kapelan, Jeroen Langeveld and Riccardo Taormina. The chapter assesses whet...

Alexander Garzón, Zoran Kapelan, Jeroen Langeveld et al. · 0 citations
#large language models Open access Sep 2026

Training to Protect Research Integrity in the Age of AI-assisted Coding

Poster presented at the 10th Research Software Engineering Conference (RSECon26) in Sheffield, UK, 9-11 September, 2026. Abstract The use of generative AI tools to generate source code or to augment a programmer's own code is ever more widespread in research software development. While evidence of associated gains in p...

Philippa Broadbent, T. Mark Hodges, Halford J. W. Dace et al. · 0 citations
#large language models Open access Sep 2026

Training to Protect Research Integrity in the Age of AI-assisted Coding

Poster presented at the 10th Research Software Engineering Conference (RSECon26) in Sheffield, UK, 9-11 September, 2026. Abstract The use of generative AI tools to generate source code or to augment a programmer's own code is ever more widespread in research software development. While evidence of associated gains in p...

Philippa Broadbent, T. Mark Hodges, Halford J. W. Dace et al. · 0 citations
#large language models Open access Sep 2026

Training to Protect Research Integrity in the Age of AI-assisted Coding

Poster presented at the 10th Research Software Engineering Conference (RSECon26) in Sheffield, UK, 9-11 September, 2026. Abstract The use of generative AI tools to generate source code or to augment a programmer's own code is ever more widespread in research software development. While evidence of associated gains in p...

Philippa Broadbent, T. Mark Hodges, Halford J. W. Dace et al. · 0 citations

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