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MOL2NET 2016, International Conference on Multidisciplinary Sciences, 2nd edition

This conference is organized by Humberto González-Díaz, IKERBASQUE Professor. Sciforum is not responsible for the content posted on this website.

11: SUIWML01: International Workshop on Machine Learning in Biomedicine, Soochow, 2016


SUIWML2016: Soochow University International Workshop Series on
Machine Learning and its Applications in Biomedicine

 

Submit New Communications

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 is also a section of MOL2NET-2.

This workshop is focus 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.

T
his 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.

This workshop is planned to be held in middle of Nov, 2016. However, the submission is open and the publication of communications will be ASAP after acceptance, all the year. For more details, see Schedule & Program page and to submit a communication use the Submission link. After you successfully register, you can submit your paper online. You need to register and send your abstract first. After abstract approval you need to send your communication. Please, download and use the following template to write your communication SUIWML template

Be aware:

on step 1, you should select MOL2NET 2016, International Conference on Multidisciplinary Sciences, 2nd edition (Conference),

on step 2, you should select SUIWML2016: Soochow University International Workshop Series on Machine Learning and its Applications in Biomedicine.

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

 

Advisory Committee

Prof. Quan Liu

Chief of Department of Software Engineering
Ph.D. Professor of Computer Sciences,
School of Computer Sciences and Technology, Soochow University (SUDA), Suzhou, China

(SUIWCS2016 Chairman)

 

 

 

Prof. Fangzhang Li

Ph.D. Professor of Computer Sciences
Dean of School of Computer Sciences and Technology, Soochow University (SUDA), Suzhou, China

(SUIWCS2016 Institutional Co-Chair)

 

 

Prof. Bairong Shen

Director of Center of Complex Systems,

University of Soochow (SUDA), PRC, China.

China Coordinator of SUDA-UVP/EHU

Collaboration Agreement.

Prof. Humberto González-Díaz

IKERBASQUE Prof., Ph.D., Pharm.Lic., 

(1) Department of Organic Chemistry II,

University of Basque Country (UPV/EHU),

Campus Bizkaia, Basque Country, Spain.

(2) IKERBASQUE, Basque Foundation for Science,

Bilbao, Bizkaia, Basque Country, Spain.

humberto.gonzalezdiaz@ehu.eus

(MOL2NET2016 Conference Chairman)

(SUIWCS2016 Advisory Chairman)

Assist. Prof. Xiaoke Zhou

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

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

(SUIWCS2016 President of Organizing Committee)

 

 

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List of Proceedings (1-2 pages), Videos, Slide Presentation (ppt)s (13)
by 斌 梁  *
by xu jin  *
by wen Hu  *
List of Accepted Abstracts (5)
Building a time-proof secure wireless sensor network through interacting the environment by efficient sampling
The Adaptive ETLBO Algorithms with K-Armed Bandit Model
Reinforcement Learning based Dynamic Adaptive Controller
Retinal vessel segmentation method based self-adaptive classification strategy
Single Trajectory Learning: Exploration VS. Exploitation