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L. Palese

3 papers hereh-index 17800 citations53 works total

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

author position
  • sole author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • q-bio.QM2
  • eess.IV1

identity via Semantic Scholar / OpenAlex

activity
20162022
most citedA random version of principal component analysis in data clustering

42 citations · 45 across the 3 of their papers we have counts for

collaborators

3 papers

q-bio.QM2022★ 1 cited

Molecular dynamics without molecules: searching the conformational space of proteins with generative neural networks

Gregory Schwing, Luigi L. Palese, Ariel Fernández +2

All-atom and coarse-grained molecular dynamics are two widely used computational tools to study the conformational states of proteins. Yet, these two simulation methods suffer from…

eess.IV2021★ 2 cited

CXR-Net: An Artificial Intelligence Pipeline for Quick Covid-19 Screening of Chest X-Rays

Haikal Abdulah, Benjamin Huber, Sinan Lal +4

CXR-Net is a two-module Artificial Intelligence pipeline for the quick detection of SARS-CoV-2 from chest X-rays (CXRs). Module 1 was trained on a public dataset of 6395 CXRs with…

q-bio.QM2016★ 42 cited

A random version of principal component analysis in data clustering

Luigi Leonardo Palese

Principal component analysis (PCA) is a widespread technique for data analysis that relies on the covariance-correlation matrix of the analyzed data. However to properly work with…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.