Publications
Genovese D., Sgroi A., Devoto A., Valentine S., Wood L., Sebastiani C., Scardapane S., D’Onofrio M., Giagu S. (2025).
Mixture-of-experts graph transformers for interpretable particle collision detection. Scientific Reports, 15(1), 27906.
DOI: 10.1038/s41598-025-12003-9
A novel approach combining Graph Transformer and Mixture-of-Expert layers for explainable high-energy physics data analysis.
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Capriotti S., Devoto A., Genovese D., Mignardi S., Scardapane S., Medeghini L. (2025). Towards interpretable deep learning in ceramic petrographic fabric classification through a comparative study of convolutional neural networks and vision transformers. Congresso congiunto SGI, SIMP 2025.
Application of interpretability techniques on ceramic classification.
Capriotti S., Devoto A., Genovese D., Mignardi S., Scardapane S., Medeghini L. (2025). Explainable vision transformers for the petrographic classification of Levantine ceramics. EMAC European Meeting on Ancient Ceramics.
Implementation of Vision Transformer and some explainability techniques for ceramic classification problems.