posted by user: mfarouk || 7945 views || tracked by 29 users: [display]

IJAMAS-ELA 2011 : IJAMAS Special Issue on Advances in Ensemble Learning and Its Applications


When N/A
Where N/A
Submission Deadline Jan 15, 2011
Notification Due Feb 15, 2011
Final Version Due Mar 15, 2011
Categories    data mining   machine learning   pattern recognition   soft computing

Call For Papers

Call for Papers

Special Issue on Advances in Ensemble Learning and Its Applications

International Journal of Applied Mathematics & Statistics (IJAMAS)

One of the most promising areas of data mining and machine learning is ensemble learning, which is used successfully in many real-world applications such as text categorization, optical character recognition, face recognition and computer-aided medical diagnosis. An ensemble consists of a set of individual predictors (such as neural networks or decision trees) whose predictions are combined when classifying a given example. The idea of designing ensembles was originated as an alternative way for improving the performance of individual classifiers by exploiting knowledge derived from different sources. It overcomes the limitation of traditional learning algorithms that construct single classifiers and opens new areas of research. The publications related to different aspects of designing ensemble of classifiers as well as their applications in a variety of domains shows growing interests in the data mining and machine learning community. Accordingly, the aim of this special issue is to bring together researchers to discuss the new theoretical trends and the applications of ensemble learning concepts.

Topics of Interest: (include but are not limited to)

•Theoretical analysis of ensemble learning
•Fusion of multiple-source/multi-sensor data
•Bagging and boosting
•Methods for classifier selection (Ensemble Pruning)
•Combination and Fusion methods
•Ensemble learning for classification/regression
•Ensemble learning for clustering
•Related learning tasks
◦Feature selection with ensembles
◦Multi-label learning with ensembles
◦Multi-instance learning with ensembles
◦Active learning with ensembles
◦Semi-supervised with ensembles
•New applications of ensemble learning especially in data mining, medical diagnosis, face recognition, emotion recognition and bioinformatics

Paper Submission:

The manuscripts should be written in English and submitted in PDF format through the EasyChair submission website ( and a copy should be sent to eic.ijamas(at) with a covering letter as given in "Author Instructions" of the journal ( All manuscripts will be subject to peer review. If finally accepted, the articles must be formatted by the authors according to "Author Instructions" of the journal (

Important Dates:

•Deadline for Paper Submission: 15 January 2011
•Paper Review Notification:15 February 2011
•Final Version Submission: 15 March 2011
•Paper Acceptance Notification: 15 April 2011
•Print Publication: to be announced

About IJAMAS Journal:

IJAMAS is to publish refereed, well-written original research articles, and studies that describe the latest research and developments in the area of applied mathematics and statistics. This is a broad-based journal covering all branches of mathematics, statistics and interdisciplinary research. It is a peer-reviewed journal and published four times a year by CESER Publications with associations of Centre for Environment, Social & Economic Research, and Indian Society for Development and Environment Research. For more information about the IJSI, please refer to the following URL for details

Related Resources

ICADCML 2022   3rd International Conference on Advances in Distributed Computing and Machine Learning - 2022
MLDM 2022   18th International Conference on Machine Learning and Data Mining
IEEE SSCI 2023   2023 IEEE Symposium Series on Computational Intelligence
ICML 2022   39th International Conference on Machine Learning
IEEE SSCI 2022   2022 IEEE Symposium Series on Computational Intelligence
FAIML 2022   2022 International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML 2022)
JCRAI 2022-Ei Compendex & Scopus 2022   2022 International Joint Conference on Robotics and Artificial Intelligence (JCRAI 2022)
IEEE COINS 2022   IEEE COINS 2022: Hybrid (3 days on-site | 2 days virtual)
RADLMT 2022   3rd International Workshop on Recent advances in deep learning methods and techniques for medical image analysis
ICDM 2022   22th Industrial Conference on Data Mining