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Alessandro Rossi

4 papers hereh-index 349 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • q-bio.NC1
same name
  • Alessandro Rossi — 6 papers, h 7
  • Alessandro Rossi — 5 papers, h 3
  • Alessandro Rossi — 3 papers, h 1
  • Alessandro Rossi — 1 paper, h 1
  • Alessandro Rossi — 1 paper
  • Alessandro Rossi — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedNeural Networks for Beginners. A fast implementation in Matlab, Torch, TensorFlow

7 citations · 8 across the 4 of their papers we have counts for

collaborators

4 papers

q-bio.NC2020

End-to-End Models for the Analysis of System 1 and System 2 Interactions based on Eye-Tracking Data

Alessandro Rossi, Sara Ermini, Dario Bernabini +4

While theories postulating a dual cognitive system take hold, quantitative confirmations are still needed to understand and identify interactions between the two systems or conflic…

cs.LG2017★ 7 cited

Neural Networks for Beginners. A fast implementation in Matlab, Torch, TensorFlow

Francesco Giannini, Vincenzo Laveglia, Alessandro Rossi +2

This report provides an introduction to some Machine Learning tools within the most common development environments. It mainly focuses on practical problems, skipping any theoretic…

cs.LG2017★ 1 cited

The principle of cognitive action - Preliminary experimental analysis

Marco Gori, Marco Maggini, Alessandro Rossi

In this document we shows a first implementation and some preliminary results of a new theory, facing Machine Learning problems in the frameworks of Classical Mechanics and Variati…

cs.LG2017

Collapsing of dimensionality

Marco Gori, Marco Maggini, Alessandro Rossi

We analyze a new approach to Machine Learning coming from a modification of classical regularization networks by casting the process in the time dimension, leading to a sort of col…

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