基本信息
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个人简介
Research interests
Alan Smeaton's research has always been around the topic of information retrieval (IR) and has covered the application of natural language analysis to IR, fast implementation of IR, IR from spoken databases, IR from hypertexts, IR across different languages (text documents) and IR from image and video databases. His current research is around information retrieval from very large collections of digital video, video analysis and computer vision, lifelogging and use of technology in education. This latter topic includes using student data footprints to predict course outcome and using student data to address issues of student wellness and student wellbeing.
Alan Smeaton's research has always been around the topic of information retrieval (IR) and has covered the application of natural language analysis to IR, fast implementation of IR, IR from spoken databases, IR from hypertexts, IR across different languages (text documents) and IR from image and video databases. His current research is around information retrieval from very large collections of digital video, video analysis and computer vision, lifelogging and use of technology in education. This latter topic includes using student data footprints to predict course outcome and using student data to address issues of student wellness and student wellbeing.
研究兴趣
论文共 844 篇作者统计合作学者相似作者
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PROCEEDINGS OF THE 4TH ANNUAL ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA RETRIEVAL, ICMR 2024pp.1190-1198, (2024)
Data in Brief (2024): 110514-110514
CoRR (2024)
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PROCEEDINGS OF THE 4TH ANNUAL ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA RETRIEVAL, ICMR 2024pp.1317-1317, (2024)
Computer Vision and Pattern Recognitionpp.3887-3899, (2024)
MultiMedia Modeling Lecture Notes in Computer Science (2024): 342-355
CoRR (2024)
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作者统计
#Papers: 845
#Citation: 28762
H-Index: 73
G-Index: 141
Sociability: 7
Diversity: 3
Activity: 66
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