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G. Amato

43 papers hereh-index 262.1k citations153 works total

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

author position
  • first author2
  • middle author22
  • last author18

Across the 42 of 43 papers where every author was matched, so the position is known.

fields
  • cs.CV36
  • cs.NE3
  • cs.IR1
  • cs.NI1
  • cs.RO1
  • quant-ph1
same name
  • G. Amato — 12 papers, h 11
  • G. Amato — 7 papers, h 22
  • G. Amato — 6 papers, h 6
  • G. Amato — 4 papers, h 6

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

activity
20192026
most citedCross-Forgery Analysis of Vision Transformers and CNNs for Deepfake Image Detection

45 citations · 87 across the 29 of their papers we have counts for

collaborators
Showing cs.NEShow all

3 papers · 1 filter

cs.NE2023★ 3 cited

Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey

Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro +1

Recently emerged technologies based on Deep Learning (DL) achieved outstanding results on a variety of tasks in the field of Artificial Intelligence (AI). However, these encounter…

cs.NE2023★ 10 cited

Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey

Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro +1

For a long time, biology and neuroscience fields have been a great source of inspiration for computer scientists, towards the development of Artificial Intelligence (AI) technologi…

cs.NE2021

Hebbian Semi-Supervised Learning in a Sample Efficiency Setting

Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro +1

We propose to address the issue of sample efficiency, in Deep Convolutional Neural Networks (DCNN), with a semi-supervised training strategy that combines Hebbian learning with gra…

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