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Reliability study of computer aided diagnosis system using breast phantom: multi-reader analysis for identical lesions ...
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Choi, Nari. - : European Congress of Radiology, 2019
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| 42 |
A state space approach to dynamic modeling of mouse-tracking data ...
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F-Lingo: Integrating lexical feature identification into MOOC platforms for learning professional and academic English
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In: 6th IEEE Conference on Learning With MOOCS (LWMOOCS) - Enhancing Workforce Diversity and Inclusion (2019)
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What Do Language Representations Really Represent?
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In: Bjerva, Johannes; Östling, Robert; Veiga, Maria Han; Tiedemann, Jörg; Augenstein, Isabelle (2019). What Do Language Representations Really Represent? Computational Linguistics, 45(2):381-389. (2019)
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| 46 |
A review of the use of portable technologies as observational aids in the classroom
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Joint modeling of users, questions and answers for answer selection in CQA
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Changes in science attitudes, beliefs, knowledge and physiological arousal after implementation of a multimodal, cooperative intervention in primary school science classes
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Characterising postgraduate students’ corpus query and usage patterns for disciplinary data-driven learning
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PaperMiner—a real-time spatiotemporal visualization for newspaper articles
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Learning factorized representations for open-set domain adaptation
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Multilevel topic dependency models for assessment design and delivery: A hypergraph based approach
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Detecting and visualizing context and stress via a fuzzy rule-based system during commuter driving
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Abstract:
Stress is a negative emotion that occurs in everyday life, such as driving. Recurrent exposure to stress can be detrimental to cardiovascular health in the long term. Nevertheless, the development of adaptive coping strategies can mitigate the influence of everyday stress on cardiovascular health. Understanding context is essential to modelling the occurrence of stress and other negative emotions during everyday life. However, driving is a highly dynamic environment, whereby the context is often described using ambiguous linguistic terms, which can be difficult to quantify. This paper proposes a Fuzzy Logic Mamdani Model to automatically estimate different categories of driving context. The system is comprised of two Membership Functions (MFs), which converts the inputs of speed and traffic density into linguistic variables. Our approach then uses these data to identify six states of driving – Idling, Journey Impedance, High Urban Workload, Low Urban Workload, High Non-Urban Workload and Low Non-Urban Workload. An interactive visualization has then been implemented that links this fuzzy logic model with psychophysiological data to identify the context of stress experienced on the road. The system has been validated using real-world data that has been collected from eight participants during their daily commuter journeys.
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Keyword:
1702 Artificial Intelligence; 1705 Computer Networks and Communications; 1706 Computer Science Applications; 1802 Information Systems and Management; Emotion Recognition; Fuzzy Logic; Mobile Health; Negative Emotion; Pervasive Computing; Physiological Computing; Stress; Wearable Computers
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URL: https://espace.library.uq.edu.au/view/UQ:f8e78be
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Discovering correlations between sparse features in distant supervision for relation extraction
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| 56 |
Parallel Corpora for the Biomedical Domain
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In: International Conference on Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-01847303 ; International Conference on Language Resources and Evaluation, ELRA, May 2018, Miyazaki, Japan (2018)
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Large-scale diversity estimation through surname origin inference ; Estimation de diversité à grande échelle par inférence de l'origine des noms de famille
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In: ISSN: 0759-1063 ; EISSN: 2070-2779 ; Bulletin de Méthodologie Sociologique / Bulletin of Sociological Methodology ; https://hal.archives-ouvertes.fr/hal-01766665 ; Bulletin de Méthodologie Sociologique / Bulletin of Sociological Methodology, SAGE Publications, In press (2018)
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Evaluation of the Effectiveness of the Use of a Mobile Application on Students’ Study Achievements – A Pilot Study
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In: Lecture Notes in Computer Science ; 17th Conference on e-Business, e-Services and e-Society (I3E) ; https://hal.inria.fr/hal-02274152 ; 17th Conference on e-Business, e-Services and e-Society (I3E), Oct 2018, Kuwait City, Kuwait. pp.37-44, ⟨10.1007/978-3-030-02131-3_5⟩ (2018)
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Acceptance and Use of Mobile Devices and Apps by Elderly People
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In: Lecture Notes in Computer Science ; 17th Conference on e-Business, e-Services and e-Society (I3E) ; https://hal.inria.fr/hal-02274186 ; 17th Conference on e-Business, e-Services and e-Society (I3E), Oct 2018, Kuwait City, Kuwait. pp.30-36, ⟨10.1007/978-3-030-02131-3_4⟩ (2018)
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The relationship between linguistic expression and symptoms of depression, anxiety, and suicidal thoughts: A longitudinal study of blog content ...
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