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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Machine Learning for Signal Processing are cordially invited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
All submitted conference papers will be blind peer reviewed by three competent reviewers. The post conference proceedings will be abstracted and indexed in the International Science Index
, and submitted to be indexed in the
, Scopus and Thomson Reuters. The conference abstracts and proceedings book, CD and certificate of presentation will be distributed to participants at the conference registration desk.
Special Journal Issues
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
|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
||January 12 - 13, 2017
Please ensure your submission meets WASET'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) A Neural Network Classifier for Estimation of the Degree of Infestation by Late Blight on Tomato LeavesGizelle K. Vianna, Gabriel V. Cunha, Gustavo S. Oliveira 2) Image Rotation Using an Augmented 2-Step Shear TransformHee-Choul Kwon, Heeyong Kwon 3) Building a Scalable Telemetry Based Multiclass Predictive Maintenance Model in RJaya Mathew 4) Robot Navigation and Localization Based on the Rat’s Brain SignalsEndri Rama, Genci Capi, Shigenori Kawahara 5) Performance Evaluation of Refinement Method for Wideband Two-Beams FormationC. Bunsanit 6) A Neuro-Automata Decision Support System for the Control of Late Blight in Tomato CropsGizelle K. Vianna, Gustavo S. Oliveira, Gabriel V. Cunha 7) Stackelberg Security Game for Optimizing Security of Federated Internet of Things Platform InstancesVioleta Damjanovic-Behrendt 8) Sentiment Analysis: Comparative Analysis of Multilingual Sentiment and Opinion Classification TechniquesSannikumar Patel, Brian Nolan, Markus Hofmann, Philip Owende, Kunjan Patel 9) Urban Big Data: An Experimental Approach to Building-Value Estimation Using Web-Based DataSun-Young Jang, Sung-Ah Kim, Dongyoun Shin 10) Causal Relation Identification Using Convolutional Neural Networks and Knowledge Based FeaturesTharini N. de Silva, Xiao Zhibo, Zhao Rui, Mao Kezhi 11) Clustering Categorical Data Using the K-Means Algorithm and the Attribute’s Relative FrequencySemeh Ben Salem, Sami Naouali, Moetez Sallami 12) Efficient Filtering of Graph Based Data Using Graph PartitioningNileshkumar Vaishnav, Aditya Tatu 13) A Computational Cost-Effective Clustering Algorithm in Multidimensional Space Using the Manhattan Metric: Application to the Global Terrorism DatabaseSemeh Ben Salem, Sami Naouali, Moetez Sallami 14) Load Forecasting in Microgrid Systems with R and Cortana Intelligence Suite F. Lazzeri, I. Reiter 15) Online Prediction of Nonlinear Signal Processing Problems Based Kernel Adaptive FilteringHamza Nejib, Okba Taouali
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