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researcher

A. Manzoni

35 papers hereh-index 386.8k citations164 works total

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

author position
  • middle author25
  • last author10

Across the 35 of 35 papers where every author was matched, so the position is known.

fields
  • math.NA20
  • math.OC4
  • cs.LG3
  • math.AP3
  • math.DS1
  • physics.app-ph1
same name
  • A. Manzoni — 5 papers, h 3
  • A. Manzoni — 5 papers, h 4
  • A. Manzoni — 2 papers, h 19
  • A. Manzoni — 1 paper, h 2
  • A. Manzoni — 1 paper, h 3
  • A. Manzoni — 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

activity
20142023
most citedMulti-fidelity regression using artificial neural networks: efficient approximation of parameter-dependent output quantities

130 citations · 579 across the 34 of their papers we have counts for

collaborators
Showing cs.LGShow all

3 papers · 1 filter

cs.LG2022★ 77 cited

Reduced order modeling of parametrized systems through autoencoders and SINDy approach: continuation of periodic solutions

Paolo Conti, Giorgio Gobat, Stefania Fresca +2

Highly accurate simulations of complex phenomena governed by partial differential equations (PDEs) typically require intrusive methods and entail expensive computational costs, whi…

cs.LG2021

Online structural health monitoring by model order reduction and deep learning algorithms

Luca Rosafalco, Matteo Torzoni, Andrea Manzoni +2

Within a structural health monitoring (SHM) framework, we propose a simulation-based classification strategy to move towards online damage localization. The procedure combines para…

cs.LG2020

Fully convolutional networks for structural health monitoring through multivariate time series classification

Luca Rosafalco, Andrea Manzoni, Stefano Mariani +1

We propose a novel approach to Structural Health Monitoring (SHM), aiming at the automatic identification of damage-sensitive features from data acquired through pervasive sensor s…

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