90 citations · 107 across the 9 of their papers we have counts for
9 papers
Conditional Deep Convolutional Neural Networks for Improving the Automated Screening of Histopathological Images
Gianluca Gerard, Marco Piastra
Semantic segmentation of breast cancer metastases in histopathological slides is a challenging task. In fact, significant variation in data characteristics of histopathology images…
Lily-like twist distribution in toroidal nematics
Andrea Pedrini, Marco Piastra, Epifanio G. Virga
Toroidal nematics are droplets of nematic liquid crystals in the form of a circular torus. When the nematic director is subject to planar degenerate boundary conditions, the bend-o…
Pre-trainable Reservoir Computing with Recursive Neural Gas
Luca Carcano, Emanuele Plebani, Danilo Pietro Pau +1
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 ha…
Online Fall Detection using Recurrent Neural Networks
Mirto Musci, Daniele De Martini, Nicola Blago +2
Unintentional falls can cause severe injuries and even death, especially if no immediate assistance is given. The aim of Fall Detection Systems (FDSs) is to detect an occurring fal…
Some Further Evidence about Magnification and Shape in Neural Gas
Giacomo Parigi, Andrea Pedrini, Marco Piastra
Neural gas (NG) is a robust vector quantization algorithm with a well-known mathematical model. According to this, the neural gas samples the underlying data distribution following…
A Multi-signal Variant for the GPU-based Parallelization of Growing Self-Organizing Networks
Giacomo Parigi, Angelo Stramieri, Danilo Pau +1
Among the many possible approaches for the parallelization of self-organizing networks, and in particular of growing self-organizing networks, perhaps the most common one is produc…
Explicit excluded volume of cylindrically symmetric convex bodies
Marco Piastra, Epifanio G. Virga
We represent explicitly the excluded volume Ve{B1,B2} of two generic cylindrically symmetric, convex rigid bodies, B1 and B2, in terms of a family of shape functionals evaluated se…
Gradient of the Objective Function for an Anisotropic Centroidal Voronoi Tessellation (CVT) - A revised, detailed derivation
Giacomo Parigi, Marco Piastra
In their recent article (2010), Levy and Liu introduced a generalization of Centroidal Voronoi Tessellation (CVT) - namely the Lp-CVT - that allows the computation of an anisotropi…
A Growing Self-Organizing Network for Reconstructing Curves and Surfaces
Marco Piastra
Self-organizing networks such as Neural Gas, Growing Neural Gas and many others have been adopted in actual applications for both dimensionality reduction and manifold learning. Ty…