Conference Code: 19CA08ICMLB
Conference Aims and Objectives
The ICMLB 2019: 21st 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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Machine Learning and Bioinformatics are cordially invited for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
Federated conference series is an event that brings together significant number of recurring events; academic conferences, symposia, workshops, special sessions, and plenary talks in the 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. The conference abstracts and proceedings book, CD and certificate of presentation will be distributed to participants at the conference registration desk. 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
||October 6, 2018
|Notification of Acceptance/Rejection
||March 6, 2019
|Final Paper (Camera Ready) Submission & Early Bird Registration Deadline
||April 6, 2019
||August 6 - 7, 2019
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) Building a Scalable Telemetry Based Multiclass Predictive Maintenance Model in RJaya Mathew 2) Genetic Algorithm Based Deep Learning Parameters Tuning for Robot Object Recognition and GraspingDelowar Hossain, Genci Capi 3) Urban Big Data: An Experimental Approach to Building-Value Estimation Using Web-Based DataSun-Young Jang, Sung-Ah Kim, Dongyoun Shin 4) Sentiment Analysis: Comparative Analysis of Multilingual Sentiment and Opinion Classification TechniquesSannikumar Patel, Brian Nolan, Markus Hofmann, Philip Owende, Kunjan Patel 5) Stackelberg Security Game for Optimizing Security of Federated Internet of Things Platform InstancesVioleta Damjanovic-Behrendt 6) Causal Relation Identification Using Convolutional Neural Networks and Knowledge Based FeaturesTharini N. de Silva, Xiao Zhibo, Zhao Rui, Mao Kezhi 7) Intellectual Property Protection of CRISPR Related TechnologiesZheng Miao, Dennis Fernandez 8) Load Forecasting in Microgrid Systems with R and Cortana Intelligence Suite F. Lazzeri, I. Reiter 9) Augmented Reality Sandbox and Constructivist Approach for Geoscience Teaching and Learning Muhammad Nawaz, Sandeep N. Kundu, Farha Sattar 10) Development of the Academic Model to Predict Student Success at VUT-FSASEC Using Decision TreesLanga Hendrick Musawenkosi, Twala Bhekisipho 11) Mining Big Data in Telecommunications Industry: Challenges, Techniques, and Revenue OpportunityHoda A. Abdel Hafez 12) Comparing Emotion Recognition from Voice and Facial Data Using Time Invariant FeaturesVesna Kirandziska, Nevena Ackovska, Ana Madevska Bogdanova 13) Performance Comparison of Situation-Aware Models for Activating Robot Vacuum Cleaner in a Smart HomeSeongcheol Kwon, Jeongmin Kim, Kwang Ryel Ryu 14) Hand Gesture Interpretation Using Sensing Glove Integrated with Machine Learning AlgorithmsAqsa Ali, Aleem Mushtaq, Attaullah Memon, Monna 15) An Empirical Evaluation of Performance of Machine Learning Techniques on Imbalanced Software Quality DataRuchika Malhotra, Megha Khanna
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