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1 - 7 of 7 search results for Economics test |u:mobile-systems.cl.cam.ac.uk where 3 match all words and 4 match some words.
  1. Fully-matching results

  2. aaai17 format (9 March)

    https://mobile-systems.cl.cam.ac.uk/papers/icwsm17poster.pdf
    10 Mar 2017: Detecting Socio-Economic Impact of Cultural Investment Through Geo-Social Network Analysis. Xiao Zhou1,2, Desislava Hristova2, Anastasios Noulas3, Cecilia Mascolo2 1Dept. ... References Eagle, N., Macy, M. & Claxton, R. 2010. Network diversity and
  3. Understanding the Role of Places and Activities on Mobile Phone…

    https://mobile-systems.cl.cam.ac.uk/papers/Ubicomp17-Abhinav.pdf
    1 Aug 2017: economic status install and use apps. eir ndings conrm the inuence of socio-economic status on phoneusage. ... In order tond which location types aect the user’s aentiveness, we perform a Tukey post-hoc test (by seing equalto 0.05).
  4. SIGCHI Conference Proceedings Format

    https://mobile-systems.cl.cam.ac.uk/papers/www17.pdf
    17 Feb 2017: have similar routines as sensed by phone sensors? To answer thisquestion we use the Kruskal-Wallis test [28] that tests the null hy-pothesis that samples in two or more groups ... job satisfaction. gratitude. general health. Figure 10: Correlation
  5. Results that match 1 of 2 words

  6. A Study of Bluetooth Low Energy Performance forHuman Proximity ...

    https://mobile-systems.cl.cam.ac.uk/papers/percom17.pdf
    11 Jan 2017: Additionally, theavailability of our prototype allowed us to test the impact ofthese parameters on a large scale deployment. ... Our approach instead was to deploy our prototype, giving usgreater flexibility, and then test different combinations of
  7. Multimodal Deep Learning for Activity and Context Recognition

    https://mobile-systems.cl.cam.ac.uk/papers/ubicomp2018-radu.pdf
    21 Dec 2017: applied to wearable modeling tasks. Within this variety of deep learning, we are also the first to test thisarchitecture in-conjunction with convolutional layers (relative to feed-forward fully-connected DNN ... of nodes) for each task, guided by the
  8. UbiComp17_camera

    https://mobile-systems.cl.cam.ac.uk/papers/Ubicomp17-Georgiev.pdf
    1 Aug 2017: The datasets are divided into training, develop-ment and test sets with an 80%-10%-10% split. ... Significance tests (compared to the base lines) are carried out using McNemar 2-testwith Yates’ correction ( = p < 0.01).
  9. Accelerating Mobile Audio Sensing Algorithmsthrough On-Chip GPU…

    https://mobile-systems.cl.cam.ac.uk/papers/mobisys17.pdf
    10 May 2017: Accelerating Mobile Audio Sensing Algorithmsthrough On-Chip GPU Offloading. Petko Georgiev, Nicholas D. Lane†, Cecilia Mascolo, David Chu‡University of Cambridge, †University College London, Nokia Bell Labs, ‡Google. ABSTRACTGPUs have

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