MMAML 2017 - 2017 Special Session on Multiple Model Approach to Machine Learning

The ACIIDS 2017 invites proposals for Workshops & Special Sessions to be held during the conference. They intend to provide researchers in focused areas the opportunity to present and discuss their work, as well as to offer a forum for interaction among a broader community of researchers. A Special Session or Workshop will consist of a group of papers in a sub-discipline of Intelligent Information and Database Systems related to the main topics of ACIIDS 2017. Please send the Workshop / Special Session proposals to Dr. Dariusz Król (dariusz.krol-AT-pwr.edu.pl) with the following information:
Title & acronym of the special session & workshop
Brief profiles of special session & workshop organizers
General description of the special session & workshop scope
List of topics
Proposed Session Program Committee (to be invited)
The papers will be required to meet the same standards as ACIIDS 2017 papers and will be published in the conference proceedings, in a bound volume by Springer-Verlag in their Lecture Notes in Artificial Intelligence series. All the Special Sessions and Doctoral Track will be centralized as tracks in the same conference submission and reviewing system as the regular papers. The organizers will be responsible for the advertisement and promotion of the special session and the conference including the Special Session & Workshop webpage preparation. The management of papers review will be achieved by Special Session & Workshop Committees, using the Conference System (a separate EasyChair track will be provided for each Special Session & Workshop). The organizers are responsible for managing the review process. All the reviews should be submitted through the ACIIDS conference system. Each paper should obtain at least two reviews. The final decision as for the acceptance will be taken by the ACIIDS 2017 Program Committee based on recommendations provided by Special Session & Workshop organizers.
Special Session Chairs
Dariusz Król, Wrocław University of Technology, Poland
Kiyoaki Shirai, JAIST, Japan