EvoApps Special Session on Evolutionary Machine Learning

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
– 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