February 6th, 2020 
Daniela Lopez de Luise At 24th European Conference on Artificial Intelligence (http://ecai2020.eu)
WebPage: http://dafusai.ecai2020.c3.furg.br/
DESCRIPTION
Data fusion is crucial in almost every application of artificial intelligence. Classification, image processing, decision-making, big data or deep learning require collecting data and fusing them in appropriate ways in order to solve specific problems. For this reason, a huge effort is devoted to the developments and analysis of data fusion methods.
Aggregation functions are one of the most widely used methods in this sense. They are defined as monotone functions with appropriate boundary conditions and include, among others, most of the means or functions such as the product, the minimum or the maximum. However, in recent years it has been shown that the concept of aggregation function can be too restrictive, as it does not cover some examples which can provide good results in particular applications, as it is the case of the mode.
Furthermore, some data fusion functions more general than aggregations, the so called pre-aggregation functions, have been proposed to deal with problems ranging from classification to the computational brain, with very promising results.
ORGANIZERS
Humberto Bustince (*Contact person) Public University of Navarra, Spain, E-mail: bustince@unavarra.es
J. Fernández . Public University of Navarra, Spain, E-mail:
fcojavier.fernandez@unavarra.es
Radko Mesiar. Slovak University of Technology, Slovakia, E-mail: mesiar@math.sk
Tomasa Calvo, Universidad de Alcalá de Henares, Spain, E-mail:
tomasa.calvo@uah.es
Graçaliz Dimuro, Universidade Federal do Rio Grande, Brazil, E-mail:
gracalizdimuro@furg.br
TOPICS
In this workshop, we intend to review the most recent developments in the field of data fusion, including, but not limited to:
– theoretical results in aggregation functions and pre-aggregation functions;
– applications in deep learning, decision making, image processing, classification, machine learning.
The workshop is hence open to both theoretical and applied works, as long as the focus is on the analysis of the functions used for the fusing of information.
IMPORTANT DATES
Submission Deadline: February 28, 2020
Notification: April 15, 2020
Camera Ready: May 8, 2020
Workshop: June 9, 2020
ECAI 2020: June 8 – 12, 2020
SUBMISSION
All submissions must be written in English and they should not exceed
8 pages. For preparation of papers to be submitted please use the ECAI formatting style available from the ECAI-2020 website. Contributions should carry the title, author(s) name(s), and affiliation including e-mail address, and should include an abstract.
Submissions are accepted only via the EasyChair conference management system:
https://easychair.org/conferences/?conf=dafusai2020 .
Only the PDF of the manuscript is required for the first submission.
PUBLICATION
Accepted papers will be published in CEUR Workshop Proceedings (online). Authors of accepted papers will be invited to submit extended version of their papers to International Journal of Interactive Multimedia and Artificial Intelligence (https://www.ijimai.org/journal/).
Graçaliz Pereira Dimuro
Centro de Ciências Computacionais
Programa de Pós-Graduação em Computação
Programa de Pós-Graduação em Modelagem Computacional Universidade Federal do Rio Grande – FURG Av. Itália km 08 Campus Carreiros
96201-900 – Rio Grande, RS, Brazil
Telefone: +55 53 3233 – 6872
emails: gracaliz@gmail.com or gracalizdimuro@furg.br or gracaliz.pereira@unavarra.es If you do not wish to receive announcement emails for EUSFLAT members, please, send an email with the word UNSUBSCRIBE in the subject to the following address: eusflat.members-owner@iiia.csic.es
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