Artificial Intelligence for Astrophysics
Talk on evolutionary algorithms for finding PULXs pulsations.
Proposals Generation for Weakly Supervised Object Detection in Artwork Images
Object Detection requires many precise annotations, which are available for natural images but not for many non-natural data sets such as artworks data sets. A solution is using …
federico-milani
ArtDL
ArtDL explores how interpretable computer-vision methods can support the analysis of complex iconographic themes in artworks. My work in this project connects deep learning, …
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Comparing CAM algorithms for the identification of salient image features in iconography artwork analysis
Iconography studies the visual content of artworks by considering the themes portrayed in them and their representation. Computer Vision has been used to identify iconographic …
Using Convolutional Neural Networks for the Helicity Classification of Magnetic Fields.
The presence of non-zero helicity in intergalactic magnetic fields is a smoking gun for their primordial origin since they have to be generated by processes that break CP …
INTEGRA: An Open Tool To Support Graph-Based Change Pattern Analyses In Simulated Football Matches.
This paper introduces Interactive Graph Analyzer (INTEGRA), a tool to support the comparison of simulated football matches with real ones, through the analysis of dynamic graphs. …
INAF
I collaborate with INAF’s Osservatorio Astronomico di Roma on astrophysical discovery, rare-source analysis, and multimodal methods for scientific data interpretation.
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AstroAI
I collaborate with AstroAI at the Center for Astrophysics | Harvard & Smithsonian, where research at the intersection of AI and astrophysics advances multiscale scientific …
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NTNU
My work at NTNU reflects my training in machine learning, signal processing, and computational science. The collaboration shaped my interdisciplinary background and strengthened my …
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