From the 1 of 6 papers with an AI index.
31 citations
6 papers
Predicting, Evaluating, and Explaining Top Misinformation Spreaders via Archetypal User Behavior
Enrico Verdolotti, Luca Luceri, Silvia Giordano
The spread of misinformation on social networks poses a significant challenge to online communities and society at large. Not all users contribute equally to this phenomenon: a sma…
Improving Autonomous Nano-drones Performance via Automated End-to-End Optimization and Deployment of DNNs
Vlad Niculescu, Lorenzo Lamberti, Francesco Conti +2
The paper presents an automated workflow to train, optimize, and deploy a vision-based CNN (PULP‑Dronet) on an ultra‑low‑power multicore SoC for autonomous navigation of sub‑10 cm…
From system models to class models: An in-context learning paradigm
Marco Forgione, Filippo Pura, Dario Piga
Is it possible to understand the intricacies of a dynamical system not solely from its input/output pattern, but also by observing the behavior of other systems within the same cla…
FPLIER: Federated Pathway-Level Information Extractor
Daniele Malpetti, Christian Berchtold, Francesco Gualdi +3
In transcriptomics, gene-set-aware factorization methods such as the Pathway Level Information Extractor (PLIER) are most effective when trained on large, heterogeneous expression…
A -Approximation Algorithm for Metric -Median
Vincent Cohen-Addad, Fabrizio Grandoni, Euiwoong Lee +2
In the classical NP-hard metric -median problem, we are given a set of clients and centers with metric distances between them, along with an integer parameter . The…
NanoCockpit: Performance-optimized Application Framework for AI-based Autonomous Nanorobotics
Elia Cereda, Alessandro Giusti, Daniele Palossi
Autonomous nano-drones, powered by vision-based tiny machine learning (TinyML) models, are a novel technology gaining momentum thanks to their broad applicability and pushing scien…