• Call for Papers - EvoApps Special Session on Evolutionary Machine Learn

    From jnsafri@gmail.com@21:1/5 to All on Wed Oct 2 17:02:44 2019
    Call for papers
    EvoApps Special Session on Evolutionary Machine Learning


    Please distribute
    (Apologies for cross-posting) --------------------------------------------------------

    The Special Session on Evolutionary Machine Learning (EML) of Evo Apps will provide a specialized forum of discussion and exchange of information for researchers interested in exploring approaches that combine nature and nurture, with the long-term goal
    of evolving Artificial Intelligence (AI).

    Giving response to the growing interest in the area, and consequent advances of the state-of-the-art, the special session covers theoretical and practical advances on the combination of Evolutionary Computation (EC) and Machine Learning (ML) techniques.

    Topics of interest include, but are not limited to:
    - EC as an ML technique: Using EC to solve typical ML tasks such as Classification or Clustering
    - EC applied ML algorithms: Neuroevolution, Feature Selection, Feature Engineering, Evolutionary Adversarial Models
    - ML applied to EC: Surrogate-model design by ML for EC, Learning Problem Structure, ML for Diversity, Designing Search Strategies, Predicting Promising Regions, Using ML to Decrease Computational Effort
    - Real world applications issues: EC for Fairness, Robustness, Trustworthiness and Explainability; Green EML
    - Emerging topics: EC for AutoML; EC for Transfer Learning; EC for Multitasking; Evolving Learning Functions, Neurons and Linkage; EC for Verification and Validation of ML

    Important Dates
    Submission deadline: 1 November 2019
    Evo*: 15-17 April 2020

    Submission details:
    Submissions must be original and not published elsewhere. They will be peer reviewed by members of the program committee. The reviewing process will be double-blind, so please omit information about the authors in the submitted paper. Submit your
    manuscript in Springer LNCS format and provide up to five keywords in your Abstract.

    Page limit: 16 pages

    Submission link: https://easychair.org/conferences/?conf=evo2020


    Penousal Machado
    Wolfgang Banzhaf

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