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Conference object . 2026
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Conference object . 2026
License: CC BY NC ND
Data sources: Datacite
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Conference object . 2026
License: CC BY NC ND
Data sources: Datacite
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IPMU 2026 - Short Paper Proceedings

21st International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2026), Rome, Italy
Authors: Vantaggi, Barbara; Coletti, Giulianella; Denoeux, Thierry; Laurent, Anne; Petturiti, Davide; Miranda, Enrique; Medina, Jesús; +2 Authors

IPMU 2026 - Short Paper Proceedings

Abstract

This volume contains the Short Paper Proceedings of the 21st International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2026, held on June 15-19, 2026, at the Faculty of Economics of Sapienza University of Rome, Rome, Italy. The IPMU conference is organized every two years. It aims to bring together scientists working on methods for the management of uncertainty and aggregation of information in intelligent systems. Since 1986, the IPMU conference has provided a forum for exchanging ideas between theoreticians and practitioners working in these areas and related fields. The 2026 edition of IPMU celebrated the 40th anniversary of the first edition of the conference that took place in Paris, France. Rome was a particular fitting choice for this special occasion, as Rome and Paris have been exclusively and reciprocally twinned since April 1956. For IPMU 2026, the authors had the option of submitting either regular papers or short papers. The present volume contains 51 of the accepted short papers. All accepted papers underwent a thorough review process and were evaluated by at least two reviewers. Furthermore, all papers were examined by the program chairs. The reviewing process respected the usual conflict-of-interest standards, so that all papers received multiple independent evaluations.

Keywords

Information aggregation, Uncertainty management, Intelligent Systems

  • BIP!
    Impact byBIP!
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    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average