[iva] Special Issue: "Affective Computing, Deep Learning & Health"

Nicholas Cummins nicholas.cummins at informatik.uni-augsburg.de
Mon May 6 20:43:41 CEST 2019


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*IT-Information Technology*

*Call for papers*

**Special Issue:

Affective Computing, Deep Learning & Health

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*Scope of the Journal: *IT - Information Technology is a strictly 
peer-reviewed scientific journal. It is the oldest German journal in the 
field of information technology. Today, the major aim of IT - 
Information Technology is highlighting issues on ongoing newsworthy 
areas in information technology and informatics and their application. 
It aims at presenting the topics with a holistic view It addresses 
scientists, graduate students, and experts in industrial research and 
development.*

Aim of the Special Issue: *Analysis of human behaviours and emotions 
based on affective computing techniques have received considerable 
attention in the relevant literature in recent years. The main aim of 
this interest is to endow computers with the human traits of adequately 
recognising and responding to emotion or affect. One particularly 
interesting field of applying affective computing technologies is in 
healthcare scenarios. In clinical psychology and psychotherapy settings, 
affective computing can be used to provide objective diagnostic 
information, accurately track changes in patients’ mood or emotion 
regulations in therapy, or enable Virtual Therapists to have the ability 
to empathise and appropriately respond to their patients' needs. As in 
most areas based heavily on Artificial Intelligence, deep learning 
solutions are the pre-eminent approach in many affective computing 
applications.*

*This special issue aims to solicit papers which contribute ideas, 
methods and case studies for how affective computing technologies can 
aid healthcare. In particular, these include, but are not limited to, 
solutions utilising*:*

  * State-of-the-art deep learning techniques
  * Adversarial training paradigms
  * Attention models
  * End-to-end learning
  * Explainable AI
  * Multitask learning
  * Reinforcement learning
  * Longer-term user adaptation
  * Transfer learning

Authors are asked to kindly submit their manuscript online at: 
http://www.editorialmanager.com/itit/.

The style guide for preparing the manuscript (Word or Latex) is listed 
there. A step by step guide through the submission process will be 
provided after registration.

*Language:* Publication language is English.

*Length:* The length of a contribution to the special issue should be at 
most eight printed pages

*Important Dates:*

  * First Submission: May 31^st , 2019
  * First Notification: July 12^th , 2019
  * Second Submission: August 9^th , 2019
  * Second Notification: September 6^th , 2019
  * Camera-ready Version of Papers: September 20^th , 2019

*Special Issue Editors*

  * Björn Schuller, Imperial College London
  * Nicholas Cummins, University of Augsbug

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