Browsing Computer Science by Author "Özyeğin University"
Now showing items 361-380 of 546
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Observing interoperability of IoT systems through model-based testing
İnçki, Koray; Arı, İsmail (Springer Nature, 2018)Internet of Things (IoT) has drastically modified the industrial services provided through autonomous machine-to-machine interactions. Such systems comprise of devices manufactured by various suppliers. Verification is a ... -
OCR-aided person annotation and label propagation for speaker modeling in TV shows
Budnik, M.; Besacier, L.; Khodabakhsh, Ali; Demiroğlu, Cenk (IEEE, 2016)In this paper, we present an approach for minimizing human effort in manual speaker annotation. Label propagation is used at each iteration of an active learning cycle. More precisely, a selection strategy for choosing the ... -
Offloading deep learning powered vision tasks from UAV to 5G edge server with denoising
Özer, Sedat; Ilhan, H. E.; Özkanoğlu, Mehmet Akif; Cirpan, H. A. (IEEE, 2023-06)Offloading computationally heavy tasks from an unmanned aerial vehicle (UAV) to a remote server helps improve battery life and can help reduce resource requirements. Deep learning based state-of-the-art computer vision ... -
On characterizing sectoral interactions via connections between employees in professional online social networks
Ayvaz, Demet; Gürsun, Gonca; Özlale, Ümit (Elsevier, 2018-12)The collaboration among individuals is essential to maximize economic efficiency. Today most of the technological and economical advancements require multidisciplinary efforts. Therefore promoting interaction and knowledge ... -
On context-aware DDoS attacks using deep generative networks
Gürsun, Gonca; Şensoy, Murat; Kandemir, Melih (IEEE, 2018-10)Distributed Denial of Service (DDoS) attacks continue to be one of the most severe threats in the Internet. The intrinsic challenge in preventing DDoS attacks is to distinguish them from legitimate flash crowds since two ... -
On spectral analysis of the Internet delay space and detecting anomalous routing paths
Gürsun, Gonca (TÜBİTAK, 2019)Latency is one of the most critical performance metrics for a wide range of applications. Therefore, it is important to understand the underlying mechanisms that give rise to the observed latency values and diagnose the ... -
On the co-absence of input terms in higher order neuron representation of boolean functions
Yapar, O.; Öztop, Erhan (Springer International Publishin, 2017)Boolean functions (BFs) can be represented by using polynomial functions when −1 and +1 are used represent True and False respectively. The coefficients of the representing polynomial can be obtained by exact interpolation ... -
On the use of evolutionary coupling for software architecture recovery
Saydemir, Abdullah; Simitcioğlu, Muhammed Esad; Sözer, Hasan (IEEE, 2021)Software architecture documentation can be partially obtained automatically by means of software architecture recovery tools. These tools mainly cluster software modules to provide a high level structural organization of ... -
On the use of machine learning for predicting defect fix time violations
Kanoğlu, Ümit; Dolaş, Can; Sözer, Hasan (Science and Technology Publications, 2022)Accurate prediction of defect fix time is important for estimating and coordinating software maintenance efforts. Likewise, it is useful to predict whether or not the initially estimated defect fix time will be exceeded ... -
Online association rule mining over fast data
Ölmezoğulları, Erdi; Arı, İsmail (IEEE, 2013)To extract useful and actionable information in real-time, the information technology (IT) world is coping with big data problems today. In this paper, we present implementation details and performance results of ReCEPtor, ... -
Optimal negotiation decision functions in time-sensitive domains
Baarslag, T.; Gerding, E. H.; Aydoğan, Reyhan; Schraefel, M. C. (IEEE, 2015)The last two decades have seen a growing interest in automated agents that are able to negotiate on behalf of human negotiators in a wide variety of negotiation domains. One key aspect of a successful negotiating agent is ... -
Optimization by runtime specialization for sparse matrix-vector multiplication
Kamin, S.; Jesus Garzaran, M.; Aktemur, Tankut Barış; Xu, D.; Yılmaz, Buse; Chen, Z. (ACM, 2014)Runtime specialization optimizes programs based on partial information available only at run time. It is applicable when some input data is used repeatedly while other input data varies. This technique has the potential ... -
Optimizing complex sequence pattern extraction using caching
Ray, M.; Lui, M.; Rundensteiner, E.; Dougherty, D. J.; Gupta, C.; Wang, S.; Mehta, A.; Arı, İsmail (IEEE, 2011)Complex Event Processing (CEP) has become increasingly important for tracking and monitoring complex event anomalies and trends in event streams emitted from business processes such as supply chain management to online ... -
Optimizing decomposition of software architecture for local recovery
Sözer, Hasan; Tekinerdoğan, B.; Akşit, M. (Springer Science+Business Media, 2013-06)The increasing size and complexity of software systems has led to an amplified number of potential failures and as such makes it harder to ensure software reliability. Since it is usually hard to prevent all the failures, ... -
Optimum encoding approaches on video resolution changes: a comparative study
Asan, A.; Mkwawa, I.-H.; Sun, L.; Robitza, W.; Beğen, Ali Cengiz (IEEE, 2018)Video resolution changes in an HTTP adaptive streaming session may negatively affect the viewer's quality of experience. Our goal is, through encoding, to make such resolution changes less noticeable for the viewers. This ... -
ORTPiece: An ORT-based Turkish image captioning network based on transformers and WordPiece
Ersoy, Asım; Yıldız, Olcay Taner; Özer, Sedat (IEEE, 2023)Recent transformers-based systems are advancing image captioning applications. However, those works have been mainly applied to English-based image captioning problems. In this paper, we introduce a transformers-based ... -
OzU-NLP at TREC NEWS 2019: Entity ranking
Fayoumi, Kenan; Yeniterzi, R. (National Institute of Standards and Technology (NIST), 2019)This paper presents our work and submission for TREC 2019 News Track: Entity Ranking Task. Our approach utilizes Doc2Vec's ability to represent documents as fixed sized numerical vectors. Applied on news articles and ... -
Öbekleme eniyilemesi ve sağlamlığı için yinelemeli bir yaklaşım
Gümüş, H.; Korkmaz Özay, E.; Arı, İsmail; Çataltepe, Z. (IEEE, 2012)Clustering is a common technique, in all areas where information is obtained from the collected data. In this work, three well-known clustering algorithms namely, K-means, Spectral and DBSCAN are investigated in terms of ... -
ÖZÜ konuşmacı doğrulama sisteminin çok sınıflı senaryoda NIST 2010 veritabanı ile başarımı
Yeşil, Fatih; Demiroğlu, Cenk (IEEE, 2011)Performance of the speaker verification systems is typically measured based on their binary decision accuracy. However, in speaker verification applications where close to %100 accuracy is required, such as the systems ... -
Parental scaffolding as a bootstrapping mechanism for learning grasp affordances and imitation skills
Ugur, E.; Nagai, Y.; Celikkanat, H.; Öztop, Erhan (Cambridge University Press, 2015-06)Parental scaffolding is an important mechanism that speeds up infant sensorimotor development. Infants pay stronger attention to the features of the objects highlighted by parents, and their manipulation skills develop ...
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