MMAML 2014 (call for papers in pdf)

Special Session on Multiple Model Approach to Machine Learning

at the 6th Asian Conference on Intelligent Information and Database Systems  (ACIIDS 2014)

Bangkok, Thailand, April 7-9, 2014

Conference web site:
MMAML 2014 web site:

Objectives and topics

Ensemble methods have gained great attention of scientific community over the last several years. Multiple models have been theoretically and empirically shown to provide significantly better performance than their single base models. Ensemble algorithms have found their application in various real word problems ranging from person recognition through medical diagnosis and text classification to financial forecasting. The MMAML 2014 Special Session at the 6th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2014) is devoted to the ensemble methods and their application to classification, prediction, and clustering problems. We want to offer an opportunity for researchers and practitioners to identify new promising research directions as well as to publish recent advances in this area. The scope of the MMAML 2014 includes, but is not limited to the following topics:
  • Theoretical framework for ensemble methods
  • Ensemble learning algorithms: bagging, boosting, stacking, etc.
  • Ensemble methods in clustering
  • Dealing with large volumes of data and lack of adequate data
  • Model and feature selection in multiple model machine learning
  • Diversity, accuracy and stability issues
  • Hybrid ensembles
  • Hybrid methods in prediction and classification
  • Time factor in ensemble models
  • Multi-objective ensemble models
  • Ensemble methods in agent and multi-agent systems
  • Newest methods for generating ensembles
  • Implementations of ensemble learning algorithms
  • Assessment and statistical analysis of ensemble models
  • Applications of ensemble methods in business, engineering, medicine, etc. 

Session chairs


Tomasz Kajdanowicz, Wroclaw University of Technology,
Edwin Lughofer, Johannes Kepler University Linz,
Bogdan Trawiński,
Wroclaw University of Technology, Poland

International Program Committee

Jesús Alcalá-Fdez, University of Granada, Spain
Emili Balaguer-Ballester, Bournemouth University, UK
Abdelhamid Bouchachia, University of Klagenfurt, Austria
Robert Burduk, Wrocław University of Technology, Poland
Oscar Castillo, Tijuana Institute of Technology, Mexico
Rung-Ching Chen, Chaoyang University of Technology, Taiwan
Suphamit Chittayasothorn, King Mongkut's Institute of Technology Ladkrabang, Thailand
José Alfredo F. Costa, Federal University (UFRN), Brazil
Bogusław Cyganek, AGH University of Science and Technology, Poland
Ireneusz Czarnowski, Gdynia Maritime University, Poland
Patrick Gallinari, Pierre et Marie Curie University, France
Fernando Gomide, State University of Campinas, Brazil
Francisco Herrera, University of Granada, Spain
Tzung-Pei Hong, National University of Kaohsiung, Taiwan
Tomasz Kajdanowicz, Wrocław University of Technology, Poland
Yong Seog Kim, Utah State University, USA
Mark Last, Ben-Gurion University of the Negev, Israel
Kun Chang Lee, Sungkyunkwan University, Korea
Heitor S. Lopes, Federal University of Technology Paraná, Brazil
Edwin Lughofer, Johannes Kepler University Linz, Austria
Mustafa Mat Deris, Universiti Tun Hussein Onn Malaysia, Malaysia
Jerzy Stefanowski, Poznan University of Technology, Poland
Zbigniew Telec, Wrocław University of Technology, Poland
Bogdan Trawiński, Wrocław University of Technology, Poland
Olgierd Unold, Wrocław University of Technology, Poland
Pandian Vasant, University Technology Petronas, Malaysia
Michał Woźniak, Wrocław University of Technology, Poland
Faisal Zaman, Kyushu Institute of Technology, Japan
Zhongwei Zhang, University of Southern Queensland, Australia
Zhi-Hua Zhou, Nanjing University, China
Dan Zhu, Iowa State University, USA

Important dates

Submission of papers: Extended to 10 November 2013 (Strict !)
Notification of acceptance: 20 December 2013
Camera-ready papers: 05 January 2014
Conference date: 7-9 April 2014


All contributions should be original and not published elsewhere or intended to be published during the review period. Authors are invited to submit their papers electronically in pdf format, through EasyChair. All the special sessions are centralized as tracks in the same conference management system as the regular papers. Therefore, to submit a paper please activate the following link and after that select the track: MMAML 2014 - Special Session on Multiple Model Approach to Machine Learning.

Authors are invited to submit original previously unpublished research papers written in English, of up to 10 pages, strictly following the LNCS/LNAI format guidelines. Authors can download the Latex (recommended) or Word templates available at Springer's web site. Submissions not following the format guidelines will be rejected without review. To ensure high quality, all papers will be thoroughly reviewed by the MMAML 2014 International Program Committee. All accepted papers must be presented by one of the authors who must register for the conference and pay the fee. The conference proceedings will be published by Springer in the prestigious series LNCS/LNAI (indexed by ISI CPCI-S, included in ISI Web of Science, EI, ACM Digital Library, dblp, Google Scholar, Scopus, etc.).

Post-conference pubication in NGC

A selected number of accepted and personally presented papers will be expanded and revised for possible inclusion in special issues in high quality scientific journals. So far, the best papers presented during MMAML special sessions have been invited to special issues on Hybrid and Ensemble Methods in Machine Learning of the following prestigious journals: New Generation Computing (IF=0.941) published in 2011, International Journal of Applied Mathematics and Computer Science (IF=0.487) published in 2012, and Journal of Universal Computer Science (IF=0.669) published in 2013. At present, we are inviting papers to the Special Issue on Hybrid and Ensemble Techniques in Soft Computing – Recent Advances and Emerging Trends in Springer’s journal Soft Computing (IF=1.124) , to be published in Fall 2014. Call for papers you can find under the address: