Connectionists: Fwd: Deadline Extension: EvoApps Special Session on Evolutionary Machine Learning

[João Nuno Correia]

Dear colleagues,

FYI.


---------- Forwarded message ---------
De: Penousal Machado <machado at dei.uc.pt>
Date: segunda, 2/11/2020, 16:01
Subject: Deadline Extension: EvoApps Special Session on Evolutionary
Machine Learning
To: Contacts <penousal at gmail.com>


Please distribute
(Apologies for cross-posting)

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

http://www.evostar.org/2021/evoapps/eml/

--------------------------------------------------------


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: https://easychair.org/conferences/?conf=evo2021


Organizers

Penousal Machado
Wolfgang Banzhaf
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