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.

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Topics of Interest

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

Download the EvoAPPS special session on EML flyer

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: www.easychair.org/conferences/?conf=evo2020

Organizers

Penousal Machado
Wolfgang Banzhaf