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Increasing test efficiency by risk-driven model-based testing
(Elsevier, 2018-10)
We introduce an approach and a tool, RIMA, for adapting test models used for model-based testing to augment information regarding failure risk. We represent test models in the form of Markov chains. These models comprise ...
Game theory based bitrate adaptation for Dash.Js reference player
(IEEE, 2018-11-28)
Most existing DASH adaptive bitrate (ABR) schemes are designed to behave in their own self-interest and do not perform consistently in all network environments. In this work, we provide a practical implementation, materials ...
CPU design simplified
(IEEE, 2018-12-10)
The first goal of this paper is to introduce a simple and customizable soft CPU named VerySimpleCPU (VSCPU), which could be easily implemented on FPGAs with a complete toolchain including instruction set simulator, assembler, ...
Automated objective and subjective evaluation of HTTP adaptive streaming systems
(IEEE, 2018-06-26)
Streaming audio and video content currently accounts for the majority of the internet traffic and is typically deployed over the top of the existing infrastructure. We are facing the challenge of a plethora of media players ...
Subjective bayesian networks and human-in-the-loop situational understanding
(Springer, 2018-03-21)
In this paper we present a methodology to exploit human-machine coalitions for situational understanding. Situational understanding refers to the ability to relate relevant information and form logical conclusions, as well ...
Interpretability of deep learning models: a survey of results
(IEEE, 2018-06-26)
Deep neural networks have achieved near-human accuracy levels in various types of classification and prediction tasks including images, text, speech, and video data. However, the networks continue to be treated mostly as ...
Supervising topic models with Gaussian processes
(Elsevier, 2018-05)
Topic modeling is a powerful approach for modeling data represented as high-dimensional histograms. While the high dimensionality of such input data is extremely beneficial in unsupervised applications including language ...
Effective robot skill synthesis via divided control
(IEEE, 2018-07-02)
Learning from demonstration is a powerful method for obtaining task skills, which aim to eliminate the need for explicit robot programming. Classically, the tasks are demonstrated to the robot by means of either recorded ...
A distributed approach for bitrate selection in HTTP adaptive streaming
(ACM, 2018)
Past research has shown that concurrent HTTP adaptive streaming (HAS) players behave selfishly and the resulting competition for shared resources leads to underutilization or oversubscription of the network, presentation ...
A generalized stereotype learning approach and its instantiation in trust modeling
(Elsevier, 2018-08)
Owing to the lack of historical data regarding an entity in online communities, a user may rely on stereotyping to estimate its behavior based on historical data about others. However, these stereotypes cannot accurately ...
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