posted by organizer: micaomile || 4906 views || tracked by 6 users: [display]

MLIS 2023 : The 5th International Conference on Machine Learning and Intelligent Systems (MLIS 2023)

FacebookTwitterLinkedInGoogle

Link: http://www.machinelearningconf.org/
 
When Nov 17, 2023 - Nov 20, 2023
Where Macao, China/Online via MS TEAMS
Submission Deadline Sep 20, 2023
Categories    machine learning   intelligent system   robot   data mining
 

Call For Papers

The 5th International Conference on Machine Learning and Intelligent Systems (MLIS 2023)
Website: http://www.machinelearningconf.org/
Time: November 17th-20th, 2023
Venue: Macao, China/Online via MS TEAMS

*Introduction
Supported by Singidunum University and Macao Convention and Exihibition Association, the 5th International Conference on Machine Learning and Intelligent Systems (MLIS 2023) will be held during November 17th-20th, 2023 in Macao, China/Online via MS TEAMS. The event is aimed at providing a platform for knowledge exchange of the most recent scientific and technological advances and to strengthen the links in the scientific community. The plenary session of MLIS2023 will include Keynote Speeches, Invited Speeches, Poster Presentations and Oral Presentations.

*Brief Program
November 17th Registration
November 18th Welcoming Speech, Keynote Speeches, Poster Presentations, Invited Speeches and Oral Presentations
November 19th Invited Speeches, Oral Presentations and Welcome Banquet
November 20th Field Visit at Macao, China
Detail conference program will be updated a month before the beginning of the conference.

*Confirmed Speakers
Prof. Milan Tuba, Singidunum University, Serbia
Prof. Jan Treur, Vrije Universiteit Amsterdam, Netherlands
Prof. KC Santosh, University of South Dakota, USA
Dr. Luis Anido-Rifon, University of Vigo, Spain
Prof. Jon-Lark Kim, Sogang University, Republic of Korea
Prof. Richi Nayak, Queensland University of Technology, Australia
Prof. Hamed Taherdoost, University Canada West, Canada
Dr. Emilie Chouzenoux, University Paris Saclay, France
Dr. Vidya K Sudarshan, Nanyang Technological University, Singapore
Dr. Kang Taewook, Korea Institute of Civil Engineering and Building Technology, South Korea
Ms. Ankhzaya Jamsrandorj, University of Science & Technology, South Korea

*Call for Papers
1. Abstracts and unpublished full-length papers are welcome
2. Topics should be related to Machine Learning and Intelligent Systems
3. Accepted full papers will be published in the conference proceeding (indexed by Ei Compendex, Scopus, Inspec...)
4. All abstracts/papers should be submitted via MLIS Submission System: http://paper.academicconf.com/author/login.aspx?confname=mlis2023

*Topics
Computational Intelligence, Data Mining, Deep Learning, Expert Systems, Human Computer Interaction, Image Processing, Natural Language Processing, Neural Networks, Pattern Recognition, Robots, Sentiment Analysis, Signal Processing, Video Processing

*Contact
MLIS2023 Organizing Committee
Conference Secretary: Yana Shi
Tel: 13618614937
E-mail: info@machinelearningconf.org

Conference Brochure:
https://opensz.oss-cn-beijing.aliyuncs.com/MLIS2023/file/MLIS%202023%20CFP.pdf
Electronic Invitation Letter´╝Ühttps://h.eqxiu.com/s/zURQwsLW

Related Resources

MLIS 2024   The 6th International Conference on Machine Learning and Intelligent Systems (MLIS 2024)
ECAI 2024   27th European Conference on Artificial Intelligence
IEEE ICCR 2024   IEEE--2024 6th International Conference on Control and Robotics (ICCR 2024)
ACM-Ei/Scopus-CCISS 2024   2024 International Conference on Computing, Information Science and System (CCISS 2024)
ICMLA 2024   23rd International Conference on Machine Learning and Applications
ICDM 2024   IEEE International Conference on Data Mining
AIAT--EI 2024   2024 4th International Conference on Artificial Intelligence and Application Technologies (AIAT 2024)
AIM@EPIA 2024   Artificial Intelligence in Medicine
CAIT 2024   IEEE--2024 5th International Conference on Computers and Artificial Intelligence Technology (CAIT 2024)
LAJC 2024   Latin-American Journal of Computing