Excellence in Research and Innovation for Humanity

ICMLA 2017 : 19th International Conference on Machine Learning and Applications

Copenhagen, Denmark
June 11 - 12, 2017

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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Machine Learning and Applications are cordially invited for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

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

ICMLA 2017 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.

Important Dates

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
Conference Dates   June 11 - 12, 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) Noise Reduction in Web Data: A Learning Approach Based on Dynamic User Interests
Julius Onyancha, Valentina Plekhanova
2) Cognition of Driving Context for Driving Assistance
Manolo Dulva Hina, Clement Thierry, Assia Soukane, Amar Ramdane-Cherif
3) Evaluating Machine Learning Techniques for Activity Classification in Smart Home Environments
Talal Alshammari, Nasser Alshammari, Mohamed Sedky, Chris Howard
4) Application of ANN for Estimation of Power Demand of Villages in Sulaymaniyah Governorate
A. Majeed, P. Ali
5) Mix Proportioning and Strength Prediction of High Performance Concrete Including Waste Using Artificial Neural Network
D. G. Badagha, C. D. Modhera, S. A. Vasanwala
6) Automatic Classification of Periodic Heart Sounds Using Convolutional Neural Network
Jia Xin Low, Keng Wah Choo
7) Prediction on Housing Price Based on Deep Learning
Li Yu, Chenlu Jiao, Hongrun Xin, Yan Wang, Kaiyang Wang
8) 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
9) Comparison of Different Techniques to Estimate Surface Soil Moisture
S. Farid F. Mojtahedi, Ali Khosravi, Behnaz Naeimian, S. Adel A. Hosseini
10) Building a Scalable Telemetry Based Multiclass Predictive Maintenance Model in R
Jaya Mathew
11) Part of Speech Tagging Using Statistical Approach for Nepali Text
Archit Yajnik
12) Detecting and Secluding Route Modifiers by Neural Network Approach in Wireless Sensor Networks
C. N. Vanitha, M. Usha
13) Robot Navigation and Localization Based on the Rat’s Brain Signals
Endri Rama, Genci Capi, Shigenori Kawahara
14) 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
15) Causal Relation Identification Using Convolutional Neural Networks and Knowledge Based Features
Tharini N. de Silva, Xiao Zhibo, Zhao Rui, Mao Kezhi

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