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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Machine Learning for Signal Processing are cordially invited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) Performance Evaluation of Refinement Method for Wideband Two-Beams FormationC. Bunsanit 4) Mining Big Data in Telecommunications Industry: Challenges, Techniques, and Revenue OpportunityHoda A. Abdel Hafez 5) Performance Comparison of Situation-Aware Models for Activating Robot Vacuum Cleaner in a Smart HomeSeongcheol Kwon, Jeongmin Kim, Kwang Ryel Ryu 6) An Integrated Cognitive Performance Evaluation Framework for Urban Search and Rescue ApplicationsAntonio D. Lee, Steven X. Jiang 7) Comparing Emotion Recognition from Voice and Facial Data Using Time Invariant FeaturesVesna Kirandziska, Nevena Ackovska, Ana Madevska Bogdanova 8) An Empirical Evaluation of Performance of Machine Learning Techniques on Imbalanced Software Quality DataRuchika Malhotra, Megha Khanna 9) Ubiquitous Life People Informatics Engine (U-Life PIE): Wearable Health Promotion SystemYi-Ping Lo, Shi-Yao Wei, Chih-Chun Ma 10) Discriminant Analysis as a Function of Predictive Learning to Select Evolutionary Algorithms in Intelligent Transportation SystemJorge A. Ruiz-Vanoye, Ocotlán Díaz-Parra, Alejandro Fuentes-Penna, Daniel Vélez-Díaz, Edith Olaco García 11) An Analysis of Classification of Imbalanced Datasets by Using Synthetic Minority Over-Sampling TechniqueGhada A. Alfattni 12) Disaggregating and Forecasting the Total Energy Consumption of a Building: A Case Study of a High Cooling Demand FacilityJuliana Barcelos Cordeiro, Khashayar Mahani, Farbod Farzan, Mohsen A. Jafari 13) Performance Comparison of Different Regression Methods for a Polymerization Process with Adaptive SamplingFlorin Leon, Silvia Curteanu 14) Towards Developing a Self-Explanatory Scheduling System Based on a Hybrid ApproachJian Zheng, Yoshiyasu Takahashi, Yuichi Kobayashi, Tatsuhiro Sato 15) A Static Android Malware Detection Based on Actual Used Permissions Combination and API CallsXiaoqing Wang, Junfeng Wang, Xiaolan Zhu