Výsledky vyhledávání - "Pizzagalli, Diego Ulisse"

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Classification and regression of trajectories rendered as images via 2D Convolutional Neural Networks

Autor: Nicolai, Mariaclaudia, Cabini, Raffaella Fiamma, Pizzagalli, Diego Ulisse

Trajectories can be regarded as time-series of coordinates, typically arising from motile objects. Methods for trajectory classification are particularly important to detect different movement patterns, while methods for regression to compute motilit

Externí odkaz: http://arxiv.org/abs/2409.18832

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AnyDijkstra, an algorithm to compute shortest paths on images with anytime properties

Autor: Pizzagalli, Diego Ulisse, Krause, Rolf

Images conveniently capture the result of physical processes, representing rich source of information for data driven medicine, engineering, and science. The modeling of an image as a graph allows the application of graph-based algorithms for content

Externí odkaz: http://arxiv.org/abs/2210.15421

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ClipBot: an educational, physically impaired robot that learns to walk via genetic algorithm optimization

Autor: Pizzagalli, Diego Ulisse, Arini, Ilaria, Prevostini, Mauro

Educational robots allow experimenting with a variety of principles from mechanics, electronics, and informatics. Here we propose ClipBot, a low-cost, do-it-yourself, robot whose skeleton is made of two paper clips. An Arduino nano microcontroller ac

Externí odkaz: http://arxiv.org/abs/2210.14703

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A shortest-path based clustering algorithm for joint human-machine analysis of complex datasets

Autor: Pizzagalli, Diego Ulisse, Gonzalez, Santiago Fernandez, Krause, Rolf

Clustering is a technique for the analysis of datasets obtained by empirical studies in several disciplines with a major application for biomedical research. Essentially, clustering algorithms are executed by machines aiming at finding groups of rela

Externí odkaz: http://arxiv.org/abs/1812.11850

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