2nd International Conference on Machine Learning Techniques and Data Science (MLDS 2021) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine Learning Techniques and Data Science.
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.
Authors are invited to submit papers through the conference Submission System by CLOSED. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).
Selected papers from MLDS 2021, after further revisions, will be published in the special issue of the following journals
Last Call : (Submissions after October 23, 2021)
Speakers
Mohammad Saleem
Budapest University of Technology and Economics, Hungary
Altangerel Gereltsetseg
ELTE EötvösLoránd University, Hungary
Ciarán Bryce
University of Applied Sciences of Western Switzerland (HES-SO), Switzerland
Yew Kee WONG
HuangHuai University, China
Shreya Venugopal
PES University,
India
EL AERAJ OUAFAE
Hassan II University of Casablanca,
Morocco
Sukanya Nath
Bern University of Applied Sciences, Switzerland
Yipkei Kwok
Missouri Western State University, USA
Magesh Kasthuri
Wipro Ltd,
India
Ruolin Huang
Donghua University,
China
Christoph Kammerer
University of Applied Sciences Heilbronn, Germany
Hsueh-Wei Chen
National Taiwan University,
Taiwan
Jordan Raykov
JDElite Consulting,
USA
Igli Tafa
Polytechnic University of Tirana, Albanian
Rahil Gandotra
University of Colorado Boulder,
USA
Susith Hemathilaka
University of Westminster,
Sri Lanka
Paper Submission
Sample Template
Due to the current COVID-19 pandemic, registered authors are now able to present their work through our online platforms
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