Computer Science Research: Recent submissions

Now showing items 41-45 of 108

    • Towards sophisticated learning from EHRs : increasing prediction specificity and accuracy using clinically meaningful risk criteria 

      Vasiljeva, Ieva; Arandelovic, Ognjen (IEEE, 2016-08-16) - Conference item
      Computer based analysis of Electronic Health Records (EHRs) has the potential to provide major novel insights of benefit both to specific individuals in the context of personalized medicine, as well as on the level of ...

    • Identification of promising research directions using machine learning aided medical literature analysis 

      Andrei, Victor; Arandjelovic, Ognjen (IEEE, 2016-08-16) - Conference item
      The rapidly expanding corpus of medical research literature presents major challenges in the understanding of previous work, the extraction of maximum information from collected data, and the identification of promising ...

    • Predicting and optimizing image compression 

      Murashko, Oleksandr; Thomson, John Donald; Leather, Hugh (ACM, 2016-10-01) - Conference item
      Image compression is a core task for mobile devices, social media and cloud storage backend services. Key evaluation criteria for compression are: the quality of the output, the compression ratio achieved and the computational ...

    • WatchMI: applications of watch movement input on unmodified smartwatches 

      Yeo, Hui Shyong; Lee, Juyoung; Bianchi, Andrea; Quigley, Aaron John (ACM, 2016-09-06) - Conference item
      In this demo, we show that it is possible to enhance touch interaction on unmodified smartwatch to support continuous pressure touch, twist and pan gestures, by only analyzing the real-time data of Inertial Measurement ...

    • Client-side energy costs of video streaming 

      Ejembi, Oche; Bhatti, Saleem N. (Institute of Electrical and Electronics Engineers Inc., 2016-02-04) - Conference item
      Through measurements on our testbed, we show how users of Netflix could make energy savings of up to 34% by adjusting video quality settings. We estimate the impacts of these quality settings on the energy consumption of ...