Author

Daniele Raimondi

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Preprint Oct 2026

MATCH: Multi-stage Article Tagging to Concept Hierarchies

The increasing specialization of scientific research calls for fine-grained representations of publication content that can be applied at scale. SCALE extends the OpenAlex taxonomy with approximately 114,000 Scientific Concepts derived from author keywords, but assigning these Concepts to individual publications remain...

D. Raimondi, Fei-Chi Lu, Oliver Grun et al. · 0 citations

Preprint Aug 2026

SCALE: Scientific Concept Aggregation via LLMs and Embeddings for Fine-Grained Taxonomy Extension

This work introduces SCALE (Scientific Concept Aggregation via LLMs and Embeddings), a framework that extends the OpenAlex taxonomy with a new level of scientific Concepts below Topics and offers a foundation for fine-grained scholarly classification, scientometric analysis, research monitoring, and future ontology dev...

D. Raimondi, Fei-Chi Lu, Oliver Grun et al. · 1 citation

#explainable ai Open access Sep 2026

End-to-end deep learning methods for genetic risk prediction of schizophrenia

It is shown that explainable neural networks improve genetic prediction of schizophrenia by capturing genetic interactions, and nonlinear neural networks significantly outperform conventional additive models when sufficient sample size is available.

N. Verplaetse, Y. Moreau, D. Raimondi · Nature Communications · 0 citations