Skip to main content
Home
Self-organizing Systems Lab
Universidad Nacional Autónoma de México

Main menu

  • Home
  • Welcome
  • People
  • Research
  • Publications
  • Presentations
  • Software
  • Events
  • Media

You are here

Home

Search form

Navigation

  • Biblio
    • Authors
    • Keywords
  • Calendar
  • Forums
  • Popular content
  • Recent content
  • Feed aggregator

User login

  • Request new password

Biblio

Export 154 results:
  • BibTeX
  • RTF
  • Tagged
  • MARC
  • EndNote XML
  • RIS
Author Keyword [ Title(Desc)] Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
W
C. Gershenson, “Where is the problem of ``Where is the mind?''?”. 2002.
  • Google Scholar
  • BibTeX
  • RTF
  • Tagged
  • MARC
  • EndNote XML
  • RIS
C. Gershenson and Pineda, L. A., “Why does public transport not arrive on time? The pervasiveness of equal headway instability”, {PLoS ONE}, vol. 4, p. e7292, 2009.
  • DOI
  • Google Scholar
  • BibTeX
  • RTF
  • Tagged
  • MARC
  • EndNote XML
  • RIS
G. Santamaría-Bonfil, Reyes-Ballesteros, A., and Gershenson, C., “Wind speed forecasting for wind farms: A method based on support vector regression”, Renewable Energy, vol. 85, pp. 790–809, 2016.
  • DOI
  • Google Scholar
  • BibTeX
  • RTF
  • Tagged
  • MARC
  • EndNote XML
  • RIS
PDF icon 28-WindSpeedForecasting.pdf (2.04 MB)
C. Gershenson, “The World as Evolving Information”, in Unifying Themes in Complex Systems, vol. VII, A. Minai, Braha, D., and Bar-Yam}, Y. {, Eds. Berlin Heidelberg: Springer, 2012, pp. 100-115.
  • DOI
  • Google Scholar
  • BibTeX
  • RTF
  • Tagged
  • MARC
  • EndNote XML
  • RIS

Pages

  • « first
  • ‹ previous
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 7

Recent Publications

  • On two information-theoretic measures of random fuzzy networks
  • Ecosystem antifragility: beyond integrity and resilience
  • Boolean Networks and Their Applications in Science and Engineering
  • Forecasting of Population Narcotization under the Implementation of a Drug Use Reduction Policy
More...

Complexity Digest

  • A Physical Theory For When the Brain Performs Best
  • Understanding congestion propagation by combining percolation theory with the macroscopic fundamental diagram
  • How do bees self-organise? – Orit Peleg in Simplifying Complexity
  • Homophily-Based Social Group Formation in a Spin Glass Self-Assembly Framework
  • Machines Learn Better if We Teach Them the Basics
More

Syndicate

Subscribe to Syndicate
Powered by Drupal