Santiago de Compostela (Spain)

24th European Conference on Artificial Intelligence

June 8 - 12, 2020


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.

Humberto Bustince (*Contact person). Dept. of Statistics, Computer Science and Mathematics, Public University of Navarra, Spain, E-mail:
J. Fernández . Dept. of Statistics, Computer Science and Mathematics, Public University of Navarra, Spain, E-mail:
Radko Mesiar. Slovak University of Technology, Bratislava, Slovakia, E-mail:
Tomasa Calvo, Universidad de Alcalá de Henares, Spain, E-mail:
Graçaliz Dimuro, Centro de Ciências Computacionais, Universidade Federal do Rio Grande, Brazil, E-mail:


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.


Submission Deadline: February 28, 2020 EXTENDED to March 09, 2020
Notification: April 15, 2020
Camera Ready: May 8, 2020
Workshop: June 9, 2020
ECAI 2020: June 8 - 12, 2020


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: HERE
Only the PDF of the manuscript is required for the first submission.


Accepted papers will be published in CEUR Workshop Proceedings (online). Depending on the quality of the paper we may try to edit a special edition on a prestigious journal.
NEW: Authors of accepted papers will be invited to submit extended version of their papers to International Journal of Interactive Multimedia and Artificial Intelligence SEE HERE