Browsing Computer Science by Title
Now showing items 57-76 of 548
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A benchmark for inpainting of clothing images with irregular holes
(Springer, 2020)Fashion image understanding is an active research field with a large number of practical applications for the industry. Despite its practical impacts on intelligent fashion analysis systems, clothing image inpainting has ... -
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. ... -
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 ... -
BERT2OME: Prediction of 2′-O-methylation modifications from RNA sequence by transformer architecture based on BERT
(IEEE, 2023-06)Recent work on language models has resulted in state-of-the-art performance on various language tasks. Among these, Bidirectional Encoder Representations from Transformers (BERT) has focused on contextualizing word embeddings ... -
Best papers of the 2016 ACM multimedia systems (MMSys) conference and workshop on network and operating system support for digital audio and video (NOSSDAV) 2016
(The ACM Digital Library, 2017-06)N/A -
Bidding support by the pocket negotiator improves negotiation outcomes
(Springer, 2023)This paper presents the negotiation support mechanisms provided by the Pocket Negotiator (PN) and an elaborate empirical evaluation of the economic decision support (EDS) mechanisms during the bidding phase of negotiations ... -
A big data processing framework for self-healing internet of things applications
(IEEE, 2016)In this study, we introduce a big data processing framework that provides self-healing capability in the Internet of Things domain. We discuss the high-level architecture of this framework and its prototype implementation. ... -
BioCode: A data-driven procedure to learn the growth of biological networks
(IEEE, 2022-11)Probabilistic biological network growth models have been utilized for many tasks including but not limited to capturing mechanism and dynamics of biological growth activities, null model representation, capturing anomalies, ... -
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 ... -
BoB: Bandwidth prediction for real-time communications using heuristic and reinforcement learning
(IEEE, 2023)Bandwidth prediction is critical in any Real-time Communication (RTC) service or application. This component decides how much media data can be sent in real time. Subsequently, the video and audio encoder dynamically adapts ... -
Bottom-up approaches to achieve Pareto optimal agreements in group decision making
(Springer Nature, 2019-11)In this article, we introduce a new paradigm to achieve Pareto optimality in group decision-making processes: bottom-up approaches to Pareto optimality. It is based on the idea that, while resolving a conflict in a group, ... -
Building the Turkish FrameNet
(Global WordNet Association, 2021)FrameNet (Lowe, 1997; Baker et al., 1998; Fillmore and Atkins, 1998; Johnson et al., 2001) is a computational lexicography project that aims to offer insight into the semantic relationships between predicate and arguments. ... -
Büyük veri problemlerine çözüm olarak veri akış madenciliği
(IEEE, 2013)Günümüzde bilişim dünyası faydalı bilgiye ulaşma yolunda “büyük veri” problemleri (verinin kütlesi, hızı, çeşitliliği, tutarsızlığı) ile baş etmeye çalışmaktadır. Bu makalede, büyük veri akışları üzerinde İlişkisel Kural ... -
Campaign participation prediction with deep learning
(Elsevier, 2021-08)Increasingly, on-demand nature of customer interactions put pressure on companies to build real-time campaign management systems. Instead of having managers to decide on the campaign rules, such as, when, how and whom to ... -
Can social agents efficiently perform in automated negotiation?
(MDPI, 2021-07)In the last few years, we witnessed a growing body of literature about automated negotiation. Mainly, negotiating agents are either purely self-driven by maximizing their utility function or by assuming a cooperative stance ... -
Catching the moment with LoL + in twitch-like low-latency live streaming platforms
(IEEE, 2022)Our earlier Low-on-Latency (dubbed as LoL) solution offered an accurate bandwidth prediction and rate adaptation algorithm tailored for live streaming applications that targeted an end-to-end latency of up to two seconds. ... -
CEUR workshop proceedings: preface
(2016) -
The challenge of negotiation in the game of diplomacy
(Springer Nature, 2019)The game of Diplomacy has been used as a test case for complex automated negotiations for a long time, but to date very few successful negotiation algorithms have been implemented for this game. We have therefore decided ... -
Challenges and main results of the automated negotiating agents competition (ANAC) 2019
(Springer, 2020)The Automated Negotiating Agents Competition (ANAC) is a yearly-organized international contest in which participants from all over the world develop intelligent negotiating agents for a variety of negotiation problems. ... -
CheckMate: English grammatical error correction for native Turkish speakers
(IEEE, 2023)The covid-19 outbreak left many countries have no choice but turn to online education. Turkish students, who were among those who were affected, faced difficulties in improving their English as the opportunity to have ...
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