EvoApps-EML

Call for Papers

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

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/conferen...

Organizers  

 Penousal Machado

Wolfgang Banzhaf