Search Results for author: Emanuele Plebani

Found 3 papers, 1 papers with code

A novel statistical methodology for quantifying the spatial arrangements of axons in peripheral nerves

1 code implementation18 Oct 2022 Abida Sanjana Shemonti, Emanuele Plebani, Natalia P. Biscola, Deborah M. Jaffey, Leif A. Havton, Janet R. Keast, Alex Pothen, M. Murat Dundar, Terry L. Powley, Bartek Rajwa

In this study, we employed spatial statistics and point process models to describe the spatial arrangement of axons and Sinkhorn distances to compute the similarities between these arrangements (in terms of first- and second-order statistics) in various vagus and pelvic nerve cross-sections.

Pre-trainable Reservoir Computing with Recursive Neural Gas

no code implementations25 Jul 2018 Luca Carcano, Emanuele Plebani, Danilo Pietro Pau, Marco Piastra

Echo State Networks (ESN) are a class of Recurrent Neural Networks (RNN) that has gained substantial popularity due to their effectiveness, ease of use and potential for compact hardware implementation.

Reduced Memory Region Based Deep Convolutional Neural Network Detection

no code implementations8 Sep 2016 Denis Tome', Luca Bondi, Emanuele Plebani, Luca Baroffio, Danilo Pau, Stefano Tubaro

Accurate pedestrian detection has a primary role in automotive safety: for example, by issuing warnings to the driver or acting actively on car's brakes, it helps decreasing the probability of injuries and human fatalities.

Pedestrian Detection

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