Subjects:
Computer Science and Technologies;
Sponsorship:
Indexing: EI Compendex,Scopus
Short Description
2021 2nd International Conference on Machine Learning and Human-Computer Interaction (MLHMI 2021) will be held during 19-21 March, 2021 in Singapore.
Conference Website: http://www.mlhmi.org
MLHMI 2021 information:
1.MLHMI 2021 is supported by ACM Singapore Chapter.
2. Accepted papers will be published into International Conference Proceedings with IVSP 2021 Proceedings, which is indexed by EI Compendex, Scopu and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science).
3. Prof. Kiyoshi Hoshino from Tsukuba University, Japan, Prof. Nicolas H. Younan(Vice Chair IAPR) from Mississippi State University, USA, Prof. Xudong Jiang from Nanyang Technological University, Singapore, and Prof. Kenneth K. M. Lam from The Hong Kong Polytechnic University, Hong Kong will be the keynote speakers.
Conference Venue:NTU@one-north Executive Centre (ONEC)
Submission and Contact Methods
Submission Methods: Easy Chair System: https://easychair.org/conferences/?conf=mlhmi2021
E-mail: mlhmi.conference@gmail.com
Conference Specialist: Ms. Zoey Zhuo
2021 2nd International Conference on Machine Learning and Human-Computer Interaction aims to provide a forum for researchers, practitioners, and professionals from the industry, academia and government to discourse on research and development, professional practice in Machine Learning and Human-Computer Interaction.
Call for Papers
Machine learning methods
Learning and adaptive control
Learning/adaption of recognition and perception
Learning for Handwriting Recognition
eHealth, digital healthcare studies and usability of medical devices
Affective computing, digital empathy, empathic design, positive computing and emotional aspects in human computer interaction
Human-data interaction and interactive machine learning
Ethnographic studies in human computer interaction
Human-robot interaction studies
Contact
E-mail: mlhmi.conference@gmail.com
Tel: +86-021-59561560
Rank: ★★★★
Indexing
Online Proceedings:
Indexing Proof: View
