Conference Code: 18NL01ICMLB
International Research Conference Aims and Objectives
The ICMLB 2018: 20th International Conference on Machine Learning and Bioinformatics
aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Machine Learning and Bioinformatics. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Machine Learning and Bioinformatics.
Call for Contributions
All honorable authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters. Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Machine Learning and Bioinformatics are cordially invited for presentation at the conference. The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of novel research materials.WASET
International research conference series is an event that brings together significant number of recurring events; academic conferences, symposia, workshops, special sessions, and plenary talks in all field of science and technology since inception in 1999. Each event may run over any span of time within the conference days.
All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the International Science Index (ISI)
, Google Scholar
, Semantic Scholar
, and other index databases. Impact Factor Indicators
Special Journal Issues
has teamed up with the Special Journal Issue on Machine Learning and Bioinformatics
A number of selected high-impact full text papers will also be considered for the special journal issues. All submitted papers will have the opportunity to be considered for this Special Journal Issue. The paper selection will be carried out during the peer review process as well as at the conference presentation stage. Submitted papers must not be under consideration by any other journal or publication. The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly. Selected full-text papers will be published online free of charge.
Conference Sponsor and Exhibitor Opportunities
The Conference offers the opportunity to become a conference sponsor or exhibitor. To participate as a sponsor or exhibitor, please download and complete the Conference Sponsorship Request Form
|Abstracts/Full-Text Paper Submission Deadline
||November 30, 2017
|Notification of Acceptance/Rejection
||December 5, 2017
|Final Paper (Camera Ready) Submission & Early Bird Registration Deadline
||December 22, 2017
||January 22 - 23, 2018
Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for
Please refer to the Paper Submission GUIDE
before submitting your paper.
Selected Conference Papers
1) Water End-Use Classification with Contemporaneous Water-Energy Data and Deep Learning NetworkKhoi A. Nguyen, Rodney A. Stewart, Hong Zhang 2) Noise Reduction in Web Data: A Learning Approach Based on Dynamic User InterestsJulius Onyancha, Valentina Plekhanova 3) Cognition of Driving Context for Driving AssistanceManolo Dulva Hina, Clement Thierry, Assia Soukane, Amar Ramdane-Cherif 4) Evaluating Machine Learning Techniques for Activity Classification in Smart Home EnvironmentsTalal Alshammari, Nasser Alshammari, Mohamed Sedky, Chris Howard 5) An Intelligent Baby Care System Based on IoT and Deep Learning TechniquesChinlun Lai, Lunjyh Jiang 6) Prediction on Housing Price Based on Deep LearningLi Yu, Chenlu Jiao, Hongrun Xin, Yan Wang, Kaiyang Wang 7) ELISA Based hTSH Assessment Using Two Sensitive and Specific Anti-hTSH Polyclonal AntibodiesMaysam Mard-Soltani, Mohamad Javad Rasaee, Saeed Khalili, Abdol Karim Sheikhi, Mehdi Hedayati 8) Automatic Classification of Periodic Heart Sounds Using Convolutional Neural NetworkJia Xin Low, Keng Wah Choo 9) Hybrid Reliability-Similarity-Based Approach for Supervised Machine LearningWalid Cherif 10) Optimized Preprocessing for Accurate and Efficient Bioassay Prediction with Machine Learning AlgorithmsJeff Clarine, Chang-Shyh Peng, Daisy Sang 11) Hybrid Approach for Software Defect Prediction Using Machine Learning with Optimization Technique C. Manjula, Lilly Florence 12) Genetic Algorithm Based Deep Learning Parameters Tuning for Robot Object Recognition and GraspingDelowar Hossain, Genci Capi 13) Building a Scalable Telemetry Based Multiclass Predictive Maintenance Model in RJaya Mathew 14) Causal Relation Identification Using Convolutional Neural Networks and Knowledge Based FeaturesTharini N. de Silva, Xiao Zhibo, Zhao Rui, Mao Kezhi 15) Intellectual Property Protection of CRISPR Related TechnologiesZheng Miao, Dennis Fernandez
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