July 22, 2016

Submissions

  1. Read the information below before submitting
  2. Submission link: EasyChair platform

Types of submissions

IWANN 2023 will accept three kinds of submissions via EasyChair:

  • Full Papers: max. 12 pages in Springer LNCS format
  • Extended Abstracts: 2 pages in Springer LNCS format
  • Published Paper Showcase: presentation of a previously published journal paper

Full Papers must contain original work, not published, distributed or submitted to another journal or conference. Submitted papers will be reviewed and, if accepted, they will be published as Springer LNCS proceedings.

Extended Abstracts must contain original work, not published, distributed or submitted to another journal or conference. Submitted abstracts will be reviewed and, if accepted, they will be published in a Book of Abstracts.

Showcase Presentations must reference a previous paper by the same author(s), published in a prestigious journal (JCR indexed or similar). Submitted showcase proposals will be reviewed for topical relevance and, if accepted, will be referenced in the Book of Abstracts.

Regardless the type of submission, at least one of the authors will register, pay the registration fee, and attend the Conference (see the registration page for authors presenting multiple full papers).

You can submit your paper/abstract either to the General Track or to one of the Special Sessions. Also, new Special Sessions can still be proposed!

Topics

One or more topics must be chosen from the following list, which will be considered as orientative and never as a limitation.

  • Mathematical and theoretical methods in computational intelligence
  • Deep Learning
  • Learning and adaptation
  • Emulation of cognitive functions
  • Bio-inspired systems and neuro-engineering
  • Advanced topics in computational intelligence
  • Agent based models
  • Time series forecasting
  • Robotics and cognitive systems
  • Interactive systems and BCI
  • Machine Learning for 4.0 industry solutions
  • AI Health
  • AI in 5G technology
  • Social and Ethical aspects of AI
  • General Applications of AI