Browsing Computer Science by Title
Now showing items 69-88 of 549
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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 ... -
Coevolution index: A metric for tracking evolutionary coupling
(IEEE, 2023)This paper proposes a new metric, namely the coevolution index (CEI), for measuring the relative evolutionary coupling of modules of a software system. CEI is inspired by the h-index, which is a popular metric used for ... -
Cognition-enabled robot manipulation in human environments: requirements, recent work, and open problems
(IEEE, 2017-09)Service robots are expected to play an important role in our daily lives as our companions in home and work environments in the near future. An important requirement for fulfilling this expectation is to equip robots with ... -
Collective voice of experts in multilateral negotiation
(Springer International Publishing, 2017)Inspired from the ideas such as “algorithm portfolio”, “mixture of experts”, and “genetic algorithm”, this paper presents two novel negotiation strategies, which combine multiple negotiation experts to decide what to bid ... -
Combined AES + AEGIS architectures for high performance and lightweight security applications
(Springer International Publishing, 2014)AES has been the prominent block cipher since its introduction as the standard. It has been the cipher used in almost all new applications that require solid, unbreakable security with reasonable resource usage. Several ... -
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 ... -
Combining haar feature and skin color based classifiers for face detection
(IEEE, 2011)This paper presents a hybrid method for face detection in color images. The well known Haar feature-based face detector developed by Viola and Jones (VJ), that has been designed for gray-scale images is combined with a ... -
Combining model-based and risk-based testing for effective test case generation
(IEEE, 2015)Model-based testing employs models of the system under test to automatically generate test cases. In this paper, we propose an iterative approach, in which these models are refined based on the principles of risk-based ... -
Combining semantic web and IoT to reason with health and safety policies
(IEEE, 2018-01-12)Monitoring and following health and safety regulations are especially important - but made difficult - in hazardous work environments such as underground mines to prevent work place accidents and illnesses. Even though ... -
Common media client data (CMCD): Initial findings
(Association for Computing Machinery, Inc, 2021-07-16)In September 2020, the Consumer Technology Association (CTA) published the CTA-5004: Common Media Client Data (CMCD) specification. Using this specification, a media client can convey certain information to the content ... -
Common media server data (CMSD) - update on implementations and validation of key use cases
(ACM, 2023-06-16)The CTA-5006 (Common Media Server Data, CMSD) specification establishes a uniform method for media servers to exchange data with each media object response. The aim is to enhance distribution efficiency, performance, and ... -
Comparative study of credit risk evaluation for unbalanced datasets using deep learning classifiers
(IEEE, 2023)Credit risk assessment deals with calculating the risk of a loan not being repaid. For this reason, a lot of research effort is directed at credit risk analysis. In this study, machine learning models such as Light ...
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