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  2. Exploring Automatic Diagnosis of COVID-19 from Crowdsourced…

    https://mobile-systems.cl.cam.ac.uk/papers/KDD_covid_19.pdf
    4 Aug 2020: Figure 3 (b) shows the most frequent symptoms of usersdeclaring a positive COVID test. ... Note that we used augmented samples only for training (the test set waskept intact).
  3. IEEE JOURNAL OF BIOMEDICAL AND HEALTH IN-FORMATICS 1…

    https://mobile-systems.cl.cam.ac.uk/papers/JBHI24Xia.pdf
    8 Apr 2024: The datasets used encompassvarious modalities, and all of them exhibit severe classimbalance, making them ideal test beds for the evaluation. ... FOLDS WITH DIFFERENT SEEDS. #TEST IS THE TESTING SIZE. C IS THE NUMBER OF CLASSES AND D IS THE INPUT DATA
  4. Yawning Detection using Earphone Inertial Measurement Units

    https://mobile-systems.cl.cam.ac.uk/papers/smartwear23.pdf
    4 Oct 2023: learning and ensure fair test-ing. ... A set ofusers making up around 25% of all data was selected, then80% of the data from these users was selected (20% of thetotal data) to be the test set.
  5. OESense: Employing Occlusion Effect for In-ear Human Sensing

    https://mobile-systems.cl.cam.ac.uk/papers/mobisys21.pdf
    25 May 2021: Otherwise, the user needs to adjustthe earbud and perform the fit test again. ... For each iter-ation in the leave-one-out tests, we include different amounts ofdata from the testing subject for training and test on the rest.
  6. Writing on the Clean Slate:Implementing a Socially-Aware Protocol in…

    https://mobile-systems.cl.cam.ac.uk/papers/aoc08.pdf
    17 Apr 2008: 4.4 Functional Testing. In order to perform a functional test of the integration ofGently in Haggle, we have set up a testbed of four desk-top computers equipped with 108 ... We randifferent test to observe if the asynchronous delivery pro-cess was
  7. 1 On the Effectiveness of an OpportunisticTraffic Management System…

    https://mobile-systems.cl.cam.ac.uk/papers/its11.pdf
    13 Sep 2011: Tests were run ona 4 km 7 km urban area in Tokyo, area which contained85 intersections. ... We performed two tests:One-hop gossiping: In this experiment, each vehicle gos-.
  8. Experience in deploying wearable devices for office analytics

    https://mobile-systems.cl.cam.ac.uk/papers/cscw16.pdf
    29 Mar 2016: At the end of the deployment, we asked our participants tocomplete a Big-5 personality test in order to capture theirpersonality traits.
  9. Proceedings on Privacy Enhancing Technologies ..; .. (..):1–17…

    https://mobile-systems.cl.cam.ac.uk/papers/pets2018-manousakas.pdf
    15 Mar 2018: method tests graphicalmodels of varying orders and selects the optimal orderby balancing the model complexity and the explanatorypower of observations. ... To do so, the adver-sary computes the pairwise distances between trainingmobility networks and
  10. Exploiting Place Features in Link Prediction onLocation-based Social…

    https://mobile-systems.cl.cam.ac.uk/papers/kdd2011.pdf
    30 May 2011: we test what predic-tion performance can be achieved by using only one featureclass with respect to the full model. ... used. Results averagedthe three snapshots and over 20 different randomtraining and test sets.
  11. Enabling On-Device Smartphone GPU basedTraining: Lessons Learned…

    https://mobile-systems.cl.cam.ac.uk/papers/perfail22.pdf
    4 Feb 2022: These details are described next. Model Architecture. Having failed at beating the CPU inthe experiments devised above, we move on to trying outdifferent architectures to test how size affects the

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