54 citations · 113 across the 6 of their papers we have counts for
6 papers
MDER-DR: Multi-Hop Question Answering with Entity-Centric Summaries
Riccardo Campi, Nicolò Oreste Pinciroli Vago, Mathyas Giudici +2
Retrieval-Augmented Generation (RAG) over Knowledge Graphs (KGs) suffers from the fact that indexing approaches may lose important contextual nuance when text is reduced to triples…
DeepGraviLens: a Multi-Modal Architecture for Classifying Gravitational Lensing Data
Nicolò Oreste Pinciroli Vago, Piero Fraternali
Gravitational lensing is the relativistic effect generated by massive bodies, which bend the space-time surrounding them. It is a deeply investigated topic in astrophysics and allo…
Black-box Error Diagnosis in Deep Neural Networks for Computer Vision: a Survey of Tools
Piero Fraternali, Federico Milani, Rocio Nahime Torres +1
The application of Deep Neural Networks (DNNs) to a broad variety of tasks demands methods for coping with the complex and opaque nature of these architectures. When a gold standar…
A Data Set and a Convolutional Model for Iconography Classification in Paintings
Federico Milani, Piero Fraternali
Iconography in art is the discipline that studies the visual content of artworks to determine their motifs and themes andto characterize the way these are represented. It is a subj…
Estimating snow cover from publicly available images
Roman Fedorov, Alessandro Camerada, Piero Fraternali +1
In this paper we study the problem of estimating snow cover in mountainous regions, that is, the spatial extent of the earth surface covered by snow. We argue that publicly availab…
SnowWatch: Snow Monitoring through Acquisition and Analysis of User-Generated Content
Roman Fedorov, Piero Fraternali, Chiara Pasini +1
We present a system for complementing snow phenomena monitoring with virtual measurements extracted from public visual content. The proposed system integrates an automatic acquisit…