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Label definitions augmented interaction model for legal charge prediction
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In: https://link.springer.com/book/10.1007/978-3-030-72113-8 (2021)
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DNA Methylation Biomarkers of IQ Reduction are Associated with Long-term Lead Exposure in School Aged Children in Southern China
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The trans-ancestral genomic architecture of glycemic traits.
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The trans-ancestral genomic architecture of glycemic traits.
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In: Nature genetics, vol. 53, no. 6, pp. 840-860 (2021)
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Are the protective benefits of vitamin D in neurodegenerative disease dependent on route of administration? A systematic review
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In: https://www-tandfonline-com.proxy.library.adelaide.edu.au/doi/full/10.1080/1028415X.2018.1493807 (2020)
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Prescribing competency assessment for Canadian medical students: a pilot evaluation
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Native-speakerism in ELT: A case study of English language education in China
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The Next Frontier in Communication and the ECLIPPSE Study: Bridging the Linguistic Divide in Secure Messaging
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In: Schillinger, D; McNamara, D; Crossley, S; Lyles, C; Moffet, HH; Sarkar, U; et al.(2017). The Next Frontier in Communication and the ECLIPPSE Study: Bridging the Linguistic Divide in Secure Messaging. JOURNAL OF DIABETES RESEARCH. doi:10.1155/2017/1348242. UC San Francisco: Retrieved from: http://www.escholarship.org/uc/item/0384j5vf (2017)
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A comparative study of students' strategy use in reading texts for the IELTS test and those for academic study
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Evaluation of statistical text normalisation techniques for Twitter
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Evaluation of statistical text normalisation techniques for Twitter
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Evaluation of statistical text normalisation techniques for Twitter
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How does studying abroad change Chinese students' choice of reading strategies?
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Liu, J.. - : University of Toronto Press, 2016
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Methods for conducting systematic reviews of risk factors in low- and middle-income countries
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Social touch gesture recognition using random forest and boosting on distinct feature sets
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Abstract:
Touch is a primary nonverbal communication channel used to communicate emotions or other social messages. Despite its importance, this channel is still very little explored in the affective computing field, as much more focus has been placed on visual and aural channels. In this paper, we investigate the possibility to automatically discriminate between different social touch types. We propose five distinct feature sets for describing touch behaviours captured by a grid of pressure sensors. These features are then combined together by using the Random Forest and Boosting methods for categorizing the touch gesture type. The proposed methods were evaluated on both the HAART (7 gesture types over different surfaces) and the CoST (14 gesture types over the same surface) datasets made available by the Social Touch Gesture Challenge 2015. Well above chance level performances were achieved with a 67% accuracy for the HAART and 59% for the CoST testing datasets respectively.
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Keyword:
Social touch; Touch features; Touch gesture recognition
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URL: http://bura.brunel.ac.uk/handle/2438/12090 https://doi.org/10.1145/2818346.2830599 http://dl.acm.org/citation.cfm?id=2830599&preflayout=tabs
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Reading transition in Chinese international students: through the lens of activity system theory
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Physical activity during pregnancy and language development in the offspring
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A statistical study on ELF-whistlers/emissions and M ≥ 5.0 earthquakes in Taiwan
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