◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

G. Cecchini

4 papers here

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

author position
  • first author3
  • middle author1

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

fields
  • physics.data-an2
  • cond-mat.dis-nn1
  • physics.soc-ph1

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cond-mat.dis-nn2019

Inferring network structure and local dynamics from neuronal patterns with quenched disorder

Ihusan Adam, Gloria Cecchini, Duccio Fanelli +8

An inverse procedure is proposed and tested which aims at recovering the a priori unknown functional and structural information from global signals of living brains activity. To th…

physics.data-an2019

Iterative procedure for network inference

Gloria Cecchini, Bjoern Schelter

When a network is reconstructed from data, two types of errors can occur: false positive and false negative errors about the presence or absence of links. In this paper, the vertex…

physics.data-an2018

Analytical approach to network inference: Investigating degree distribution

Gloria Cecchini, Bjoern Schelter

When the network is reconstructed, two types of errors can occur: false positive and false negative errors about the presence or absence of links. In this paper, the influence of t…

physics.soc-ph2018

Improving Network Inference: The Impact of False Positive and False Negative Conclusions about the Presence or Absence of Links

Gloria Cecchini, Marco Thiel, Bjoern Schelter +1

A reliable inference of networks from data is of key interest in the Neurosciences. Several methods have been suggested in the literature to reliably determine links in a network.…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.