Excellence in Research and Innovation for Humanity

ICMLSP 2017 : 19th International Conference on Machine Learning for Signal Processing

Durban, South Africa
January 12 - 13, 2017

Conference Code: 17ZA01ICMLSP

Conference Aims and Objectives

The ICMLSP 2017: 19th International Conference on Machine Learning for Signal Processing 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 for Signal Processing. 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 for Signal Processing.

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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Machine Learning for Signal Processing are cordially invited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

ICMLSP 2017 has teamed up with the Special Journal Issue on Machine Learning for Signal Processing. 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, 2016
Notification of Acceptance/Rejection   December 5, 2016
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   December 10, 2016
Conference Dates   January 12 - 13, 2017

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) A Neural Network Classifier for Estimation of the Degree of Infestation by Late Blight on Tomato Leaves
Gizelle K. Vianna, Gabriel V. Cunha, Gustavo S. Oliveira
2) Image Rotation Using an Augmented 2-Step Shear Transform
Hee-Choul Kwon, Heeyong Kwon
3) Building a Scalable Telemetry Based Multiclass Predictive Maintenance Model in R
Jaya Mathew
4) Robot Navigation and Localization Based on the Rat’s Brain Signals
Endri Rama, Genci Capi, Shigenori Kawahara
5) Performance Evaluation of Refinement Method for Wideband Two-Beams Formation
C. Bunsanit
6) A Neuro-Automata Decision Support System for the Control of Late Blight in Tomato Crops
Gizelle K. Vianna, Gustavo S. Oliveira, Gabriel V. Cunha
7) Urban Big Data: An Experimental Approach to Building-Value Estimation Using Web-Based Data
Sun-Young Jang, Sung-Ah Kim, Dongyoun Shin
8) Causal Relation Identification Using Convolutional Neural Networks and Knowledge Based Features
Tharini N. de Silva, Xiao Zhibo, Zhao Rui, Mao Kezhi
9) Sentiment Analysis: Comparative Analysis of Multilingual Sentiment and Opinion Classification Techniques
Sannikumar Patel, Brian Nolan, Markus Hofmann, Philip Owende, Kunjan Patel
10) Efficient Filtering of Graph Based Data Using Graph Partitioning
Nileshkumar Vaishnav, Aditya Tatu
11) Clustering Categorical Data Using the K-Means Algorithm and the Attribute’s Relative Frequency
Semeh Ben Salem, Sami Naouali, Moetez Sallami
12) Stackelberg Security Game for Optimizing Security of Federated Internet of Things Platform Instances
Violeta Damjanovic-Behrendt
13) A Computational Cost-Effective Clustering Algorithm in Multidimensional Space Using the Manhattan Metric: Application to the Global Terrorism Database
Semeh Ben Salem, Sami Naouali, Moetez Sallami
14) Load Forecasting in Microgrid Systems with R and Cortana Intelligence Suite
F. Lazzeri, I. Reiter
15) Development of the Academic Model to Predict Student Success at VUT-FSASEC Using Decision Trees
Langa Hendrick Musawenkosi, Twala Bhekisipho

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