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ICMLT 2021: 15. International Conference on Machine Learning Technologies

时间：2021-07-15 至 2021-07-16

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ICMLT 2021: 15. International Conference on Machine Learning Technologies
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ICMLT 2021: 15. International Conference on Machine Learning Technologies
会议时间：2021-07-15 至 2021-07-16
会议地点： Stockholm, Sweden,Cairo,Egypt 周边酒店预订

发票类型： 不支持开票
参会凭证：其它

门票信息
Participation Type Early Registration Fees Registration Fees
Non-Student Oral/Poster Presenter Registration € 450 € 500
Student Oral/Poster Presenter Registration € 350 € 400
Listener Registration € 250 € 300
Additional Paper Publication € 100
会议介绍

The International Research Conference Aims and Objectives

The International Research Conference is a federated organization dedicated to bringing together a significant number of diverse scholarly events for presentation within the conference program. Events will run over a span of time during the conference depending on the number and length of the presentations. With its high quality, it provides an exceptional value for students, academics and industry researchers.

ICMLT 2021: 15. International Conference on Machine Learning Technologies 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 Technologies. 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 Technologies

Call for Contributions

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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Machine Learning Technologies are cordially invited for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

Guidelines for Authors

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 Guideline, Abstract Submission Guideline and Author Information before submitting your paper.

Conference Proceedings

All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the Open Science Index, Google Scholar, Semantic Scholar, Zenedo, OpenAIRE, BASE, WorldCAT, Sherpa/RoMEO, and other index databases. Impact Factor Indicators.

Special Journal Issues

ICMLT 2021 has teamed up with the Special Journal Issue on Machine Learning Technologies. 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.

Application Forms

Selected Papers

  1. Improving Fake News Detection Using K-means and Support Vector Machine Approaches
    Kasra Majbouri Yazdi, Adel Majbouri Yazdi, Saeid Khodayi, Jingyu Hou, Wanlei Zhou, Saeed Saedy
  2. Predicting the Success of Bank Telemarketing Using Artificial Neural Network
    Mokrane Selma
  3. Real-Time Episodic Memory Construction for Optimal Action Selection in Cognitive Robotics
    Deon de Jager, Yahya Zweiri, Dimitrios Makris
  4. Author Profiling: Prediction of Learners’ Gender on a MOOC Platform Based on Learners’ Comments
    Tahani Aljohani, Jialin Yu, Alexandra. I. Cristea
  5. A Hybrid Feature Selection and Deep Learning Algorithm for Cancer Disease Classification
    Niousha Bagheri Khulenjani, Mohammad Saniee Abadeh
  6. Machine Learning Techniques in Bank Credit Analysis
    Fernanda M. Assef, Maria Teresinha A. Steiner
  7. Automatic Number Plate Recognition System Based on Deep Learning
    T. Damak, O. Kriaa, A. Baccar, M. A. Ben Ayed, N. Masmoudi
  8. The Forensic Swing of Things: The Current Legal and Technical Challenges of IoT Forensics
    Pantaleon Lutta, Mohamed Sedky, Mohamed Hassan
  9. Modeling Engagement with Multimodal Multisensor Data: The Continuous Performance Test as an Objective Tool to Track Flow
    Mohammad H. Taheri, David J. Brown, Nasser Sherkat
  10. Robotic Assistance in Nursing Care: Survey on Challenges and Scenarios
    Pascal Gliesche, Kathrin Seibert, Christian Kowalski, Dominik Domhoff, Max Pfingsthorn, Karin Wolf-Ostermann, Andreas Hein
  11. Uplink Throughput Prediction in Cellular Mobile Networks
    Engin Eyceyurt, Josko Zec
  12. Deep Learning Application for Object Image Recognition and Robot Automatic Grasping
    Shiuh-Jer Huang, Chen-Zon Yan, C. K. Huang, Chun-Chien Ting
  13. Discussing Embedded versus Central Machine Learning in Wireless Sensor Networks
    Anne-Lena Kampen, Øivind Kure
  14. DocPro: A Framework for Processing Semantic and Layout Information in Business Documents
    Ming-Jen Huang, Chun-Fang Huang, Chiching Wei
  15. NANCY: Combining Adversarial Networks with Cycle-Consistency for Robust Multi-Modal Image Registration
    Mirjana Ruppel, Rajendra Persad, Amit Bahl, Sanja Dogramadzi, Chris Melhuish, Lyndon Smith
Elhadj Benkhelifa Staffordshire University, UK
C. Suheyl Ozveren University of Abertay Dundee, UK
Vishal Barot Loughborough University, UK
Hammadi Nait Charif Bournemouth University, UK
Chee Seng Chan University of Portsmouth, UK
Djamila Ouelhadj University of Nottingham, UK
John Chiverton University of Bristol, UK
Mohammad Shekaramiz Utah Valley University, US
Khaled Elbehiery DeVry University, US
Pouria Karimi Shahri University of North Carolina at Charlotte, US
Chung Hyun Goh University of Texas at Tyler, US
Kai Zheng Stony Brook University, US
Abhishek Bajpayee Massachusetts Institute of Technology, US
Akilesh Rajavenkatanarayanan The University of Texas at Arlington, US
Mahdi Imani George Washington University, US
Arash Mahyari Florida Institute For Human and Machine Cognition, US
Samir Iqbal University of Texas Rio Grande Valley, US
Wei Zhang University of Virginia, US
Marcos Paul Gerardo Castro Ford Greenfield Labs, US
Faezehossadat Khademi Illinois Institute of Technology, US
Nagdev Amruthnath Western Michigan University, US
Edward John Holupka Harvard University, US
Omid Saber Texas A&M University, US
Sergio Davalos University of Washington Tacoma, US
Ayush Singhal University of Minnesota, Twin Cities, US
Naga Usha Gayathri Lokala Wright State University, US
Thuan Nguyen School of Management - University of Texas at Dallas, US
Elnaz Lashgari California State University and Claremont Graduate University, US
Shanshan Tuo xAd Inc, US
P. S. Jagadeesh Kumar Harvard University, Cambridge, United States, US
会议日程
Abstracts/Full-Text Paper Submission Deadline   January 06, 2020
Notification of Acceptance/Rejection   January 28, 2020
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   June 14, 2021
Conference Dates   July 15-16, 2021
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