会议信息

MLHMI 2027: International Conference on Machine Learning and Human-Computer Interaction

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MLHMI
截稿日期:
2026-09-20 还有 76 天
通知日期:
2026-11-05
会议日期:
2027-03-03
会议地点:
Sapporo, Japan
届数:
8
浏览: 16385   关注: 5   参加: 0

征稿

MLHMI 2027 (International Conference on Machine Learning and Human-Computer Interaction) is an academic conference held in Sapporo, Japan on 2027-03-03. The paper submission deadline is 2026-09-20. Acceptance notifications are sent on 2026-11-05.

You are kindly encouraged to contribute to and help shape the conference through submissions of your research abstracts and papers to MLHMI conference. Topics of interest for submission include, but are not limited to: Machine learning methods Learning and adaptive control Learning/adaption of recognition and perception Learning for Handwriting Recognition Learning in Image Pre-Processing and Segmentation Learning in process automation Learning of appropriate behaviour Learning of action patterns Learning robots User experience research, usability testing and interaction design Mobile, ubiquitous and pervasive computing Technology adoption, trust, user engagement and retention Cognitive science in human-computer interaction Humanization of interactive technology 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
由 Dou Sun 最后更新于

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相关期刊

CCF全称影响因子出版商ISSN
BMachine Learning2.9Springer0885-6125
BIEEE Transactions on Human-Machine Systems4.4IEEE2168-2291
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems6.1Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203

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