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Beatrice Alessandra Motetti

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#artificial intelligence Review Sep 2026

GitScholar: A Dataset for Predicting AI Research Impact from GitHub Engagement

This work introduces GitScholar, a novel dataset that links GitHub activity from 444,000 repositories to over 558,000 AI arXiv papers and finds that GitHub signal offers near-complete coverage of high-impact AI papers, and consistently correlates with future academic success.

Emilien Guandalino, Lorenz K. Mueller, Beatrice Alessandra Motetti et al. · 0 citations
Open access Aug 2026

MAUPITI: On-Device Prototype-Based Learning on a Smart Infrared Sensor

A prototype-based Nearest Class Mean (NCM) classifier is adopted in which a simple Convolutional Neural Network (CNN) encoder is trained and quantized offline, while class prototypes are stored and updated on the device in streaming mode, effectively enabling online adaptation of the perception framework.

Beatrice Alessandra Motetti, Tanguy Dugas Du Villard, M. Risso et al. · 0 citations
Preprint Aug 2026

Wyvern: An Agentic Framework for Generating Grounded Multimodal Reports

Wyvern is proposed, a multi-agent framework for the automated generation of grounded, multimodal technical reports, allowing for the generation of multimodal outputs, integrating images, tables, and text with supporting references in a unified report.

Beatrice Alessandra Motetti, Emilien Guandalino, D. J. Pagliari et al. · 0 citations

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