Call for Papers

2nd WORKSHOP ON DATA FUSION FOR ARTIFICIAL INTELLIGENCE 

at ECAI 2024

The 2ND Workshop on DATA FUSION FOR ARTIFICIAL INTELLIGENCE will occur at 27TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE (ECAI 2024), as a pre-conference event, which will be on Saturday or/and Sunday, 19 and 20 October 2024.

Summary: The workshop is open to both theoretical and applied works, as long as the focus is on the analysis of the functions used for information fusion.

Description: Data fusion is crucial in almost every application of artificial intelligence.  Classification, image processing, decision-making, sentimental analysis, big data applications, neural networks, and deep learning require collecting and fusing data in appropriate ways to solve specific problems. For this reason, a huge effort is devoted to the development 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 that can provide good results in particular applications, as is the case of the mode. Furthermore, some data fusion functions are more general than aggregation functions. For example, the so-called pre-aggregation functions have been proposed to deal with problems ranging from classification to the computational brain, with promising results.

Topics of interest:  In this workshop, we intend to review the most recent developments in the field of data fusion with uncertainty, including, but not limited to:

- Theoretical results in aggregation functions, pre-aggregation functions, and fusion functions with other kinds of weaker monotonicity;

- Theoretical results in the controlling of the uncertainty in interval-valued data fusion;

- Applications in deep learning and adaptative neuro-fuzzy systems, decision making (including, e.g. multi-criteria decision making), image processing, classification and multi-label classification, machine learning, data stream clustering, sentimental analysis, and data flow prediction.

Workshop Style:

Proceedings: The organizers will provide the proceedings by collecting submitted papers. The proceedings will be available online.  The proceedings of this workshop will not be included in the proceedings of ECAI 2024.

Paper Format: Researchers are invited to submit an extended abstract (in PDF) of up to 4 pages (written in English). This extended abstract should include the title, authors, affiliation, a short standard abstract, keywords, the body of the extended abstract, and references. In addition to regular paper submissions, we will consider accepting papers rejected from the main conference, doing so purely based on the reviews written for the main conference.

Overleaf template: https://www.overleaf.com/latex/templates/springer-nature-latex-template/myxmhdsbzkyd

Submissions:  https://chairingtool.com/conferences/DATAFUSAI24/MainTrack

Important dates:

Extended Abstracts:  May 15th, 2024 May 31st, 2024 

Notification Acceptation: June 15th, 2024

Camera-ready extended abstract: June 22nd, 2024

Organizers:

Cedric Marco-Detchart (Universtat Politècnica de València)

Graçaliz Dimuro (Universidade Federal de Rio Grande, Brazil)

Helida Santos (Universidade Federal de Rio Grande, Brazil)

Humberto Bustince (Universidad Publica de Navarra. Spain)

Javier Fernadez (Universidade Federal de Rio Grande, Brazil)

Tiago Asmus (Universidade Federal de Rio Grande, Brazil)

Contact:  gracaliz@gmail.com, gracalizdimuro@furg.br, helida@furg.br