• [CfP] (Special Session @ IPMU 2022) MIIXAI: Managing Imprecise Informat

    From Corrado Mencar@21:1/5 to All on Wed Feb 2 13:51:22 2022
    (apologies for cross postings)

    People have an exceptional ability in managing imprecise information in
    forms that are well captured by several theories within the Granular
    Computing paradigm, such as Fuzzy Set Theory, Rough Set Theory, Interval Computing and hybrid theories among others. Endowing XAI systems with
    the ability of dealing with the many forms of imprecision, is therefore
    a key challenge that can push forward current XAI technologies towards
    more trustworthy systems based on imprecise information (II) and full collaborative intelligence. The Special Session will gather recent
    advancements in topics like foundational, theoretical and methodological aspects of imprecision management in XAI, new technologies for
    representing and processing imprecision in XAI systems, as well as real-
    world applications that demonstrate explainability improvements through imprecision management.

    Topics include but are not limited to:

    - Design of explainable II-based systems
    - Evaluation of explainability in models for II
    - Hybrid systems dealing with different forms of imprecision
    - Successful applications of explainable II-based systems
    - Induction of explainable models from II
    - Theoretical aspects of explainability in II-based systems

    Important dates:

    - Submission of Full Papers: EXTENDED: Friday, 18 February 2022
    - Notification of Acceptance: Tuesday, 1 March 2022
    - Camera-ready Submission: Friday, 15 April 2022
    - Conference: 11-15 July 2022, Milan, Italy

    Submission instructions and more information at IPMU website: https://ipmu2022.disco.unimib.it/

    Organizers:
    - Dario Malchiodi, Dept. of Computer Science, UniversitÓ degli Studi
    di Milano, Italy, dario.malchiodi@unimi.it
    - Corrado Mencar, Dept. of Computer Science, University of Bari Aldo
    Moro, Italy, corrado.mencar@uniba.it

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