MMAML 2022
Special Session on Multiple Model Approach to Machine Learning
at the 14th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2022)
Ho Chi Minh City, Vietnam
Conference website:
http://www.aciids.pwr.edu.pl
Special Session Organizers
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 2022 Special Session at the 14th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2022) is devoted to the ensemble methods addressing classification, prediction, and clustering problems and their application to Big Data and small data sets as well as data streams and stationary data sets. 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 2022 includes, but is not limited to the following topics:
- Theoretical framework for ensemble methods
- Ensemble methods for deep learning
- Ensemble learning algorithms: bagging, boosting, stacking, etc.
- Subsampling and feature selection in multiple model machine learning
- Diversity, accuracy, interpretability, and stability issues
- Homogeneous and heterogeneous ensembles
- Hybrid methods in prediction and classification
- Incremental, evolving, and online ensemble learning
- Big data mining and big data analytics
- Mining data streams using ensemble methods
- Ensemble methods for dealing with concept drift
- Multi-objective ensemble learning
- Ensemble methods in agent and multi-agent systems
- Implementations of ensemble learning algorithms
- Assessment and statistical analysis of ensemble models
- Applications of ensemble methods in business, engineering, medicine, etc
Important dates
Submission of papers: 22 May 2022 (Hard deadline)
Notification of acceptance: 4 July 2022
Camera-ready papers: 18 July 2022
Registration & payment: 18 July 2022
Conference date: 28-30 November 2022
Program Committee
- Emili Balaguer-Ballester, Bournemouth University, UK
- Urszula Boryczka, University of Silesia, Poland
- Abdelhamid Bouchachia, Bournemouth University, UK
- Robert Burduk, Wrocław University of Science and 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
- Ireneusz Czarnowski, Gdynia Maritime University, Poland
- Fernando Gomide, State University of Campinas, Brazil
- Francisco Herrera, University of Granada, Spain
- Tzung-Pei Hong, National University of Kaohsiung, Taiwan
- Konrad Jackowski, Wrocław University of Science and Technology, Poland
- Piotr Jędrzejowicz, Gdynia Maritime University, Poland
- Tomasz Kajdanowicz, Wrocław University of Science and Technology, Poland
- Yong Seog Kim, Utah State University, USA
- Bartosz Krawczyk, Virginia Commonwealth University, USA
- Kun Chang Lee, Sungkyunkwan University, Korea
- Edwin Lughofer, Johannes Kepler University Linz, Austria
- Hector Quintian, University of Salamanca , Spain
- Andrzej Sieminski, Wrocław University of Science and Technology, Poland
- Dragan Simic, University of Novi Sad, Serbia
- Adam Słowik, Koszalin University of Technology, Poland
- Zbigniew Telec, Wrocław University of Science and Technology, Poland
- Bogdan Trawiński, Wrocław University of Science and Technology, Poland
- Olgierd Unold, Wrocław University of Science and Technology, Poland
- Pandian Vasant, University Technology Petronas, Malaysia
- Michał Woźniak, Wrocław University of Science and Technology, Poland
- Zhongwei Zhang, University of Southern Queensland, Australia
- Zhi-Hua Zhou, Nanjing University, China
Submission
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 and satellite workshops 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 select the track:
MMAML 2022: Special Session on Multiple Model Approach to Machine Learning.
https://easychair.org/conferences/?conf=aciids2022
Authors are invited to submit original previously unpublished research papers written in English, of up to 13 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 2022 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.).