[Apologies if you receive multiple copies of this CFP]
Call for papers: special session on "Interaction and User Integration
in Machine Learning for Information Visualisation" at ESANN 2018
European Symposium on Artificial Neural Networks, Computational
Intelligence and
Machine Learning (ESANN 2018). 25-27 April 2018, Bruges, Belgium
-<http://www.esann.org>http://www.esann.org
DESCRIPTION:
Many methods have been developed in machine learning (ML) for
information visualisation (infovis). For example, PCA, MDS, t-SNE and
improvements are standard tools to reduce the dimensionality of high
dimensional datasets for visualisation purposes. However, multiple
other means are regularly used in the field of infovis when tackling
datasets with high dimensionality. Letting the user manipulate the
visualisation is one of these means, either through selection,
navigation or filtering. Introducing manipulation of the visualisation
also integrates the user as a core aspect of a given system. In the
context of machine learning, beyond the informational and exploratory
use of infovis, users' feedback can for example be highly informational
to drive the dimensionality reduction process.
This special session of the ESANN conference is a followup of the
special session on "Information Visualisation and Machine Learning:
Techniques, Validation and Integration" at ESANN 2016. It aims to
gather researchers that integrate users in the core of ML methods for
infovis. New algorithms and frameworks are welcome, as well as
experimental use cases that bring new insight in the integration of
interaction and user integration in ML for infovis. This special
session aims to provide practitioners from both communities a common
forum of discussion where issues at the crossroads of machine learning
and information visualisation could be discussed.
Topics of interest include, but are not limited to:
* supervised and semi-supervised machine learning and infovis
* unsupervised ML (clustering, dimension reduction)
* user feedback on metaparameters
* new visual paradigms for machine learning
* interaction techniques for infovis with/of machine learning
* user and device adaptivity for visual analytics
* warm restart and dedicated optimization techniques
* scalability
* applications in industry, agriculture, medicine, biology, etc.
SUBMISSION:
Prospective authors must submit their paper through the ESANN portal
following the instructions provided
in<http://www.elen.ucl.ac.be/esann/index.php?pg=submission>http://www.elen.ucl.ac.be/esann/index.php?pg=submission.
Each paper will undergo a peer reviewing process for its acceptance.
Authors should send as soon as possible an e-mail with the tentative
title of their contribution to the special session organisers.
IMPORTANT DATES:
Paper submission deadline : 20 November 2017
Notification of acceptance : 31 January 2018
The ESANN 2014 conference : 25-27 April 2018
SPECIAL SESSION ORGANISERS:
Prof. Bruno Dumas
Université de Namur, Belgium
E-mail: bruno.du...@unamur.be
Website: http://directory.unamur.be/staff/bdumas
Phone: +32 81 72 49 75
Prof. Benoît Frénay
Université de Namur, Belgium
E-mail: benoit.fre...@unamur.be
Website:<http://bfrenay.wordpress.com/>http://bfrenay.wordpress.com
Phone: +32 81 72 49 76
Prof. John Lee
Université catholique de Louvain, Belgium
E-mail: john....@uclouvain.be
Website:<http://bfrenay.wordpress.com/>https://mlg.info.ucl.ac.be/Members/JohnLee
Phone: +32 2 764 95 28
--
Benoît FRÉNAY
Associate Professor
Faculty of Computer Science
T. +32 (0)81 724 976 (secr. 725 252)
F. +32 (0)81 724 967
benoit.fre...@unamur.be <mailto:benoit.fre...@unamur.be>
Université de Namur ASBL
Rue de Bruxelles 61 - 5000 Namur
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