Excellence in Research and Innovation for Humanity

ICMLB 2018 : 20th International Conference on Machine Learning and Bioinformatics

Amsterdam, The Netherlands
January 22 - 23, 2018

Conference Code: 18NL01ICMLB

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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Machine Learning and Bioinformatics are cordially invited for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

Federated Conference

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.

Conference Proceedings

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, Zenedo, OpenAIRE, BASE, WorldCAT, Sherpa/RoMEO, 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

ICMLB 2018 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.

Important Dates

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
Conference Dates   January 22 - 23, 2018

Important Notes

Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for Full-Text Papers and Abstract Papers.

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 Network
Khoi A. Nguyen, Rodney A. Stewart, Hong Zhang
2) Building a Scalable Telemetry Based Multiclass Predictive Maintenance Model in R
Jaya Mathew
3) Genetic Algorithm Based Deep Learning Parameters Tuning for Robot Object Recognition and Grasping
Delowar Hossain, Genci Capi
4) Causal Relation Identification Using Convolutional Neural Networks and Knowledge Based Features
Tharini N. de Silva, Xiao Zhibo, Zhao Rui, Mao Kezhi
5) Urban Big Data: An Experimental Approach to Building-Value Estimation Using Web-Based Data
Sun-Young Jang, Sung-Ah Kim, Dongyoun Shin
6) Sentiment Analysis: Comparative Analysis of Multilingual Sentiment and Opinion Classification Techniques
Sannikumar Patel, Brian Nolan, Markus Hofmann, Philip Owende, Kunjan Patel
7) Intellectual Property Protection of CRISPR Related Technologies
Zheng Miao, Dennis Fernandez
8) Stackelberg Security Game for Optimizing Security of Federated Internet of Things Platform Instances
Violeta Damjanovic-Behrendt
9) Load Forecasting in Microgrid Systems with R and Cortana Intelligence Suite
F. Lazzeri, I. Reiter
10) Augmented Reality Sandbox and Constructivist Approach for Geoscience Teaching and Learning
Muhammad Nawaz, Sandeep N. Kundu, Farha Sattar
11) Development of the Academic Model to Predict Student Success at VUT-FSASEC Using Decision Trees
Langa Hendrick Musawenkosi, Twala Bhekisipho
12) Mining Big Data in Telecommunications Industry: Challenges, Techniques, and Revenue Opportunity
Hoda A. Abdel Hafez
13) Comparing Emotion Recognition from Voice and Facial Data Using Time Invariant Features
Vesna Kirandziska, Nevena Ackovska, Ana Madevska Bogdanova
14) Performance Comparison of Situation-Aware Models for Activating Robot Vacuum Cleaner in a Smart Home
Seongcheol Kwon, Jeongmin Kim, Kwang Ryel Ryu
15) Hand Gesture Interpretation Using Sensing Glove Integrated with Machine Learning Algorithms
Aqsa Ali, Aleem Mushtaq, Attaullah Memon, Monna

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