[ABE-L] Special Issue: Topological Data Analysis

[gilson]

The Current Chinese Computer Science (CCCS) journal has posted a
  ‘call for papers’ regarding the special issue:

  “Topological Data Analysis: Topology as a Paradigm for Machine
  Learning and Data Mining”

  The main goal of this special issue is to explore topological
  concepts for data analysis, data representation, information
  extraction and retrieval. Potential topics include but are not limited
  to the following:

  1) Topological data analysis of deep architectures in machine learning
  2) Topology and geometry as a paradigm to analyze deep learning 
algorithms
  3) Scientific visualization and topological data analysis
  4) Data models integrating topology and geometry, multivariate
  statistics and sampling theory
  5) Data mining and analysis based on topology and geometry
  6) Learning topology and manifolds for data analysis
  7) Computational topology and algorithms for data analysis
  8) Topology and geometry for signal and video analysis
  9) Software engineering for topological data analysis systems

  Submission Deadline: 31 August 2020

  More details in the web site:
  
https://benthamscience.com/journals/current-chinese-computer-science/special-issues/

  Section Editor: Gilson Antonio Giraldi
  Affiliation: National Laboratory for Scientific Computing, Petropolis, 
Brazil
  Email: gilson em lncc.br

  Guest Editor: Mauren Louise Sguario Coelho de Andrade
  Affiliation: Federal Technological University of Paraná, Ponta Grossa
  Campus, Brazil
  Email: mlsguario em utfpr.edu.br