（SUIWML2016）

Dear all we are glad to welcome you to the SUIWML2016: Soochow University International Workshop Series on Machine Learning and its Applications in Biomedicine. This is one scientific conference series of the School of Computer Science and Technology of Soochow University, PCR, China. This is workshop also is a section of MOL2NET-2.

This workshop focuses on Machine Learning. Machine learning is the most growing branch of computer science, driven by the ongoing explosion in the availability of data. Machine learning evolved from artificial intelligence and deals with many different problems and aspects to solve various tasks, including knowledge discovery, data mining, decision support and etc. A grand challenge is to discover relevant structural patterns and/or temporal patterns in complex data, which are often hidden and not accessible to the human expert.Biomedicine is a branch of medical science that applies biological and other natural-science principles to clinical practice. The branch especially applies to biology and physiology, which has been the dominant health system for more than a century. Nowadays, the dramatic growth of medical and biological data has created an unprecedented opportunity for machine learning in the pattern recognition and machine learning community. Many medical and biological problems involve challenging approaches to pattern discovery and learning.This workshop aims at highlighting the on-going research both the advancement of machine learning technologies and the improvements of biomedicine, and trying to bringing together researchers from the related fields to foster discussion and elicit open problems on machine learning and its applications in biomedicine. The workshop will consist of invited talks, contributed presentations, and posters. We plan to include an opening tutorial and an overview of the state-of-the-art techniques. Invited talks will be given by leading experts from both machine learning and biomedicine. We hope this workshop will not only provide an opportunity for international researchers to exchange ideas and present the latest promising work, but also create a platform to discuss and identify important future topics and directions in related fields for further research and collaboration.

Topics of particular interest include (but not limited to)

Machine Learning

Supervised learning

Unsupervised learning

Reinforcement learning

Transfer learning

Manifold Learning

Multi-task learning

Active Learning

Applications in Biomedicine

Biomedical decision support systems

Medical informatics

Bioimage mining

Medical (business/financial) intelligence

Electronic medical record (EMR) data mining

Patient (customer) relationship management

Protein structure prediction and protein fold recognition

Disease/cancer classification

Microarray data analysis

Organizers

Prof. Quan Liu

Chief of Department of Software Engineering

Ph.D. Professor of Computer Science,

School of Computer Sciences and Technology, Soochow University (SUDA), Suzhou, China

(SUIWML2016 Chairman)

 Assist. Prof. Xiaoke Zhou

Deputy Director of the Department of Information Management

Assistant Professor of Computer Science

School of Computer Sciences and Technology, Soochow University (SUDA), Suzhou, China

Ph.D. of Department of Organic Chemistry II, University of Basque Country UPV/EHU, Faculty of Science and Technology, Campus Bizkaia, Spain.

(SUIWML2016 President of Organizing Committee) 

Assoc. Prof. Fei Zhu 

Ph.D. of Computer Science,

School of Computer Sciences and Technology, Soochow University (SUDA), Suzhou, China 

Assist. Prof. Qi-Ming Fu

Ph.D. of Computer Science,

School of Electronic and Information, Suzhou University of Science and Technology, Suzhou, P. R. China