The members of the project organize a special session in IJCNN 2019 on one of the topics related to the project:
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CFP:
Special Session on "Ensemble Learning and Applications"
2019 International Joint Conference on Neural Networks (IJCNN)
July 14-19 2019, Budapest, Hungary
Important Dates:
Paper submission: 15 December 2018
Notification of acceptance: 30 January 2019
Aims and Scope:
Ensemble Learning (EL) aims at combining multiple classifiers/regressors
to increase the precision of a whole system. Ensembles are often much
more accurate than the base-classifiers that compose it. EL has been
successfully used in a lot of fields covered by the IJCNN conference,
such as machine learning, data mining, pattern recognition,
bioinformatics, and collective intelligence. This special session aims
to bring together the current research progress on Ensemble Learning
theories and their Applications.
Original contributions are welcome, covering the whole range of
theoretical and practical aspects, technologies and systems for Ensemble
Learning. The main topics of this special session include, but are not
limited to, the following:
- Ensemble Learning
- Multiple Classifier/Regressor Systems
- Dynamic Classifier/Regressor Selection
- Dynamic Ensemble Selection
- Ensemble of One-class classification
- Ensemble and Semi-supervised learning
- Applications that combine multiple classifiers/regressors
Submission:
- For paper guidelines please visit
https://www.ijcnn.org/paper-submission-guidelines
- For submissions please select the single topic "S19. Ensemble Learning
and Applications" from the "S. SPECIAL SESSIONS" category as the main
research topic on https://ieee-cis.org/conferences/ijcnn2019/upload.php
Organizers:
- Prof. George Darmiton da Cunha Cavalcanti, UFPE, Recife, Brazil
- Prof. Laurent Heutte, NormaSTIC/LITIS, Université de Rouen, France
(laurent.heutte@univ-rouen.fr)
- Prof. Alceu S. Britto Jr, PUCPR, Curitiba, Brazil (alceu@ppgia.pucpr.br)
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