Computer Science: Recent submissions
Now showing items 101-120 of 549
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Introducing StarDust: A UD-based Dependency Annotation Tool
(European Language Resources Association (ELRA), 2022)This paper aims to introduce StarDust, a new, open-source annotation tool designed for NLP studies. StarDust is designed specifically to be intuitive and simple for the annotators while also supporting the annotation of ... -
Multimodal reinforcement learning for partner specific adaptation in robot-multi-robot interaction
(IEEE, 2022)Successful and efficient teamwork requires knowledge of the individual team members' expertise. Such knowledge is typically acquired in social interaction and forms the basis for socially intelligent, partner-Adapted ... -
Deepsym: Deep symbol generation and rule learning for planning from unsupervised robot interaction
(AI Access Foundation, 2022)Symbolic planning and reasoning are powerful tools for robots tackling complex tasks. However, the need to manually design the symbols restrict their applicability, especially for robots that are expected to act in open-ended ... -
Benchmarking the second edition of the omnidirectional media format standard
(IEEE, 2022)Omnidirectional MediA Format (OMAF) is the first worldwide virtual reality (VR) standard to store and distribute immersive media, completed in 2019. Later, in 2021, the second edition of this standard (OMAF v2) was published. ... -
Distributed decision trees
(Springer, 2022)In a budding tree, every node is part internal node and part leaf. This allows representing the tree in a continuous parameter space and training it with backpropagation, like a neural network. Unlike a traditional tree ... -
Finecloud: Fine-grained cloud service advisory using machine learning
(IEEE, 2022)Motivated by real customer problems, we investigated utilization of cloud services at different layers including infrastructure (IaaS), application services (PaaS) and databases (DaaS). We found several issues such as ... -
NatiQ: An end-to-end text-to-speech system for arabic
(Association for Computational Linguistics (ACL), 2022)NatiQ is end-to-end text-to-speech system for Arabic. Our speech synthesizer uses an encoder-decoder architecture with attention. We used both tacotron-based models (tacotron-1 and tacotron-2) and the faster transformer ... -
Uncertainty assessment for detection of spoofing attacks to speaker verification systems using a Bayesian approach
(Elsevier, 2022-02)There has been tremendous progress in automatic speaker verification systems over the last decade. Still, spoofing attacks pose a significant challenge to their deployment. Even though there are various attack techniques ... -
InfraGAN: A GAN architecture to transfer visible images to infrared domain
(Elsevier, 2022-03)Utilizing both visible and infrared (IR) images in various deep learning based computer vision tasks has been a recent trend. Consequently, datasets having both visible and IR image pairs are desired in many applications. ... -
Vibrational spectra, force constants and quantum chemical calculations of μ-1,3-azide bridged triphenylphosphine complexes of copper(I) and silver(I)
(Elsevier, 2022-03)The dimeric title compounds [(C6H5)3P]Cu2(N3)2 and [C6H5)3P]Ag2(N3)2 were synthesized and characterized by FT-Raman and IR spectroscopy. The two phases were not isotypic but possessed approximately the same molecular ... -
Take the red pill for H3 and see how deep the rabbit hole goes
(ACM, 2022-03-17)With the introduction of HTTP/3 (H3) and QUIC at its core, there is an expectation of significant improvements in Web-based secure object delivery. As HTTP is a central protocol to the current adaptive streaming methods ... -
The benefits of server hinting when DASHing or HLSing
(ACM, 2022-03-17)Streaming clients almost always compete for the available bandwidth and server capacity. Not every client's playback buffer conditions will be the same, though, nor should be the priority with which the server processes ... -
Marrying WebRTC and DASH for Interactive Streaming
(ACM, 2022-03-17)WebRTC is a set of W3C and IETF standards that allows the delivery of real-time content to users, with an end-to-end latency of under half a second. Support for WebRTC is built into all modern browsers across desktop and ... -
Handling epistemic and aleatory uncertainties in probabilistic circuits
(Springer, 2022-04)When collaborating with an AI system, we need to assess when to trust its recommendations. If we mistakenly trust it in regions where it is likely to err, catastrophic failures may occur, hence the need for Bayesian ... -
Adaptive streaming of content-aware-encoded videos in dash.js
(IEEE, 2022-05)In Hypertext Transfer Protocol (HTTP) adaptive streaming, the client makes rate adaptation decisions based on the measured network bandwidth and buffer fullness. This simplifies the adaptation logic; however, it often ... -
Black-box test case selection by relating code changes with previously fixed defects
(ACM, 2022-06)Software continuously changes to address new requirements and to fix defects. Regression testing is performed to ensure that the applied changes do not adversely affect existing functionality. The increasing number of test ... -
Combined weight and density bounds on the polynomial threshold function representation of Boolean functions
(Elsevier, 2022-08)In an earlier report it was shown that an arbitrary n-variable Boolean function f can be represented as a polynomial threshold function (PTF) with 0.75×2n or less number of monomials. In this report, we derive an upper ... -
Machine learning to predict junction temperature based on optical characteristics in solid-state lighting devices: A test on WLEDs
(MDPI, 2022-08)While junction temperature control is an indispensable part of having reliable solid-state lighting, there is no direct method to measure its quantity. Among various methods, temperature-sensitive optical parameter-based ... -
When SDN and blockchain shake hands
(Wiley, 2022-09)A survey of recent efforts to combine SDN and BC shows promising results and points to directions for future research. -
SiameseFuse: A computationally efficient and a not-so-deep network to fuse visible and infrared images
(Elsevier, 2022-09)Recent developments in pattern analysis have motivated many researchers to focus on developing deep learning based solutions in various image processing applications. Fusing multi-modal images has been one such application ...
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