[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
*
*
*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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