[rede.APPIA] Deadline Extension: EvoApps Special Session on Evolutionary Machine Learning

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NEWS: Due to a large number of requests for late submissions, the EvoStar submission sites will stay open until Friday, November 19, after which no further submissions will be accepted. Authors who have already submitted, can update their work until this time. ——————————————————– Call for papers EvoApps Special Session on Evolutionary Machine Learning
www.evostar.org/2021/evoapps/eml/
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Following the success of the 2020 event, the 2nd Special Session on Evolutionary Machine Learning (EML) of EvoApps 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: 19 November 2020 Evo*: 7-9 April 2021
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: easychair.org/conferences/?conf=evo2021
Organizers
Penousal Machado Wolfgang Banzhaf