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DMNNDL 2023 2023 : 2023 International Conference on Data Mining, Neural Networks and Deep Learning (DMNNDL 2023)

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Link: http://www.dmnndl.net/
 
When Nov 17, 2023 - Nov 19, 2023
Where Guilin, China
Submission Deadline Oct 30, 2023
Categories    data mining   neural networks   deep learning
 

Call For Papers

2023 International Conference on Data Mining, Neural Networks and Deep Learning (DMNNDL 2023)


Website: http://www.dmnndl.net/
Venue: Guilin China (both online and in-person)
Conference Date: Nov. 17-19, 2023

2023 International Conference on Data Mining, Neural Networks and Deep Learning (DMNNDL 2023) will be held in Guilin, China during Nov. 17-19, 2023. It is sponsored by The International Society for Applied Computing (ISAC) and The Technical Institute for Engineers (T.I.E.).

During the upcoming conference, the invited renowned professors will share with us the recent innovations in the fields of Data Mining, Neural Networks and Deep Learning. The conference will mainly feature on keynote speeches as well as peer-reviewed paper presentations. In addition, social program or academic visit will be arranged to encourage communication, discussion or cooperation among the researchers in this field.

We invite submissions of papers presenting an original high-quality research and development for the conference. All papers must be written in English and will be peer-reviewed by technical committees of the Conference and all accepted papers will be published in the conference proceedings.

*Conference Speakers:
Keynote Speaker I:
Prof. Rui Zhang, The Chinese University of Hong Kong, Hong Kong (IEEE Fellow, X.Q. Deng Presidential Chair Professor)
Keynote Speaker II: Prof. Li Yonghui,The University of Sydney, Australia (IEEE Fellow)
Keynote Speaker III: Prof. Robert Minasian, The University of Sydney, Australia (IEEE Fellow)
Keynote Speaker IV:
Prof. James Tin-Yau Kwok, Hong Kong University of Science and Technology, Hong Kong (IEEE Fellow)

*Call for papers:
Data processing
Image data mining
Agent-based data mining
Human, domain, organizational
and social factors in data mining
Scalable data preprocessing
Convolutional neural networks
Hebbian theory
Long short term memory
Residual neural networks
Self-organizing feature maps
Biological neural networks
Neuro-Fuzzy Algorithms
Evolutionary Methods
Convolutional Neural Networks (CNN)
Deep Hierarchical Networks (DHN)
Unsupervised Feature Learning
Deep Boltzmann Machines
Generative Adversarial Networks (GAN
(for more topics: http://www.dmnndl.net/Call%20for%20Papers.html)

*Publication and indexing:
★All accepted and registered papers will be included in the Conference Proceedings published by ACM (ISBN: 979-8-4007-1630-0),and will be indexed by Ei Compendex and Scopus.

*Submission Methods:
1. Online Submission System: https://cmt3.research.microsoft.com/DMNNDL2023
2. Submission Email: dmnndl@163.com

Submission guidelines: http://www.dmnndl.net/Submission%20Guidelines.html

*Join the conference as: Authors: Authors are expected to submit full papers to the submission system for further review by our Technical Committees. All accepted papers after proper registration and presentation in the conference will be published and submitted for indexing.
Presenters Only: The presenters are expected to submit abstracts only for presentation in the conference without paper publication in the conference proceedings.
Listeners: Listeners are expected to attend the conference without paper presentation or publication.
Reviewers:
PhD-holders in the research fields of Data Mining, Neural Networks and Deep Learning are welcome to be our reviewers and a certificate can be issued.
Sponsors/Partners: If you are interested in cooperating with us, such as sponsoring or being a partner of DMNNDL 2023, you are welcome to contact us at: dmnndl@applied-computing.net

*Contact us:
Website: http://www.dmnndl.net/
Conference Secretary: Ms. Grace Lee
Tel: (+852) 6359 2147
Email: dmnndl@163.com

If you have any question or request about our conference, no matter regarding submission, registration, participation or any further question, please send email to us and you will get feedback within 24 hours.

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