Conference Code: 17DK06ICMLA
Conference Aims and Objectives
The ICMLA 2017: 19th International Conference on Machine Learning and Applications
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 Applications. 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 Applications.
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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Machine Learning and Applications are cordially invited for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 and Applications
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
||April 14, 2017
|Notification of Acceptance/Rejection
||April 28, 2017
|Final Paper (Camera Ready) Submission & Early Bird Registration Deadline
||May 11, 2017
||June 11 - 12, 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) Part of Speech Tagging Using Statistical Approach for Nepali TextArchit Yajnik 3) Building a Scalable Telemetry Based Multiclass Predictive Maintenance Model in RJaya Mathew 4) Detecting and Secluding Route Modifiers by Neural Network Approach in Wireless Sensor NetworksC. N. Vanitha, M. Usha 5) Comparison of Different Techniques to Estimate Surface Soil MoistureS. Farid F. Mojtahedi, Ali Khosravi, Behnaz Naeimian, S. Adel A. Hosseini 6) Artificial Neural Network Modeling and Genetic Algorithm Based Optimization of Hydraulic Design Related to Seepage under Concrete Gravity Dams on Permeable Soils Muqdad Al-Juboori, Bithin Datta 7) Robot Navigation and Localization Based on the Rat’s Brain SignalsEndri Rama, Genci Capi, Shigenori Kawahara 8) Artificial Neural Network Model Based Setup Period Estimation for Polymer CuttingZsolt János Viharos, Krisztián Balázs Kis, Imre Paniti, Gábor Belső, Péter Németh, János Farkas 9) Process Modeling of Electric Discharge Machining of Inconel 825 Using Artificial Neural NetworkHimanshu Payal, Sachin Maheshwari, Pushpendra S. Bharti 10) A Neuro-Automata Decision Support System for the Control of Late Blight in Tomato CropsGizelle K. Vianna, Gustavo S. Oliveira, Gabriel V. Cunha 11) Pose Normalization Network for Object ClassificationBingquan Shen 12) Rheological Characteristics of Ice Slurries Based on Propylene- and Ethylene-Glycol at High Ice FractionsSenda Trabelsi, Sébastien Poncet, Michel Poirier 13) Stackelberg Security Game for Optimizing Security of Federated Internet of Things Platform InstancesVioleta Damjanovic-Behrendt 14) Forecasting Direct Normal Irradiation at Djibouti Using Artificial Neural NetworkAhmed Kayad Abdourazak, Abderafi Souad, Zejli Driss, Idriss Abdoulkader Ibrahim 15) Sentiment Analysis: Comparative Analysis of Multilingual Sentiment and Opinion Classification TechniquesSannikumar Patel, Brian Nolan, Markus Hofmann, Philip Owende, Kunjan Patel
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