Browsing Computer Science by Author "Özyeğin University"
Now showing items 401-420 of 546
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Prioritization of test cases with varying test costs and fault severities for certification testing
Dirim, S.; Sözer, Hasan (IEEE, 2020-10)We present an industrial case study on the application of test case prioritization techniques in the context of certification testing in consumer electronics domain. Test execution times and fault severities are subject ... -
Privacy enforcement through policy extension
Arunkumar, S.; Srivatsa, M.; Soyluoglu, Berker; Şensoy, Murat; Cerutti, F. (IEEE, 2016)Successful coalition operations require contributions from the coalition partners which might have hidden goals and desiderata in addition to the shared coalition goals. Therefore, there is an inevitable risk-utility ... -
Probabilistic logic programming with beta-distributed random variables
Cerutti, F.; Kaplan, L.; Kimmig, A.; Şensoy, Murat (Association for the Advancement of Artificial Intelligence, 2019-07-17)We enable aProbLog-a probabilistic logical programming approach-to reason in presence of uncertain probabilities represented as Beta-distributed random variables. We achieve the same performance of state-of-the-art algorithms ... -
ProbC: joint modeling of epigenome and transcriptome effects in 3D genome
Sefer, Emre (BioMed Central Ltd, 2022-12)Background: Hi-C and its high nucleosome resolution variant Micro-C provide a window into the spatial packing of a genome in 3D within the cell. Even though both techniques do not directly depend on the binding of specific ... -
Processing nested complex sequence pattern queries over event streams
Liu, M.; Ray, M.; Rundensteiner, E. A.; Dougherty, D. J.; Gupta, C.; Wang, S.; Arı, İsmail; Mehta, A. (ACM, 2010)Complex event processing (CEP) has become increasingly important for tracking and monitoring applications ranging from healthcare, supply chain management to surveillance. These monitoring applications submit complex event ... -
QoE-aware bandwidth broker for HTTP adaptive streaming flows in an SDN-enabled HFC network
Bentaleb, A.; Beğen, Ali Cengiz; Zimmermann, R. (IEEE, 2018-06)This paper proposes a software defined networking based bandwidth broker solution for improving viewer experience for any type of content delivered to any type of consumer device using HTTP adaptive streaming (HAS) in a ... -
Quality upshifting with auxiliary I-Frame splicing
Akçay, Mehmet Necmettin; Kara, Burak; Beğen, Ali Cengiz; Ahsan, S.; Curcio, I. D. D.; Kammachi-Sreedhar, K.; Aksu, E. (IEEE, 2023)This paper introduces the Auxiliary I-Frame Splicing method to reduce bandwidth waste in adaptive streaming. This method involves fetching a high-quality I-frame and splicing it into the already downloaded low-quality ... -
Quaternion capsule networks
Özcan, Barış; Kınlı, Osman Furkan (IEEE, 2021)Capsules are grouping of neurons that allow to represent sophisticated information of a visual entity such as pose and features. In the view of this property, Capsule Networks outperform CNNs in challenging tasks like ... -
Quickly starting media streams using QUIC
Arısu, Şevket; Beğen, Ali Cengiz (Association for Computing Machinery, Inc, 2018-06-12)Originally proposed by Google, QUIC is a low-latency transport protocol currently being developed and specified in the IETF. QUIC's low-latency, improved congestion control, multiplexing features are promising and may help ... -
Rafinerilerdeki büyük veri problemlerine gerçek-zamanlı veri uzlaştırma çözümleri
Bakır, M.; Aydoğan, B.; Aydın, M.; Khodabakhsh, Athar; Arı, İsmail; Ercan, Ali Özer (IEEE, 2014)Rafineriler tonlarca ham petrolün, her gün faklı kimyasal işlemden geçirilerek benzine ve diğer yan ürünlere dönüştürüldüğü dev endüstriyel tesislerdir. Bu makalede sensör-tabanlı petrol rafinelerine özel endüstriyel büyük ... -
RANSAC-based training data selection for emotion recognition from spontaneous speech
Eroğlu Erdem, Ç.; Bozkurt, E.; Erzin, E.; Erdem, Tanju (ACM, 2010)Training datasets containing spontaneous emotional expressions are often imperfect due the ambiguities and difficulties of labeling such data by human observers. In this paper, we present a Random Sampling Consensus (RANSAC) ... -
RANSAC-based training data selection for speaker state recognition
Bozkurt, E.; Erzin, E.; Erdem, Ç. E.; Erdem, Tanju (The International Speech Communications Association, 2011)We present a Random Sampling Consensus (RANSAC) based training approach for the problem of speaker state recognition from spontaneous speech. Our system is trained and tested with the INTERSPEECH 2011 Speaker State ... -
RANSAC-based training data selection on spectral features for emotion recognition from spontaneous speech
Bozkurt, E.; Erzin, E.; Erdem, Tanju; Eroğlu Erdem, Ç. (Springer International Publishing, 2011)Training datasets containing spontaneous emotional speech are often imperfect due the ambiguities and difficulties of labeling such data by human observers. In this paper, we present a Random Sampling Consensus (RANSAC) ... -
Rate-adaptive streaming of 360-degree videos with head-motion-aware viewport margins
Akçay, Mehmet Necmettin; Kara, Burak; Beğen, Ali Cengiz; Ahsan, S.; Curcio, I. D. D.; Aksu, E. (IEEE, 2022)Efficient use of available bandwidth is vital when streaming 360-degree videos as users rarely have enough bandwidth for a pleasant experience. A promising solution is the combination of viewport-dependent streaming using ... -
Real-time decoding of arm kinematics during grasping based on F5 neural spike data
Ashena, Narges; Papadourakis, V.; Raos, V.; Öztop, Erhan (Springer International Publishing, 2017)Several studies have shown that the information related to grip type, object identity and kinematics of monkey grasping actions is available in macaque cortical areas of F5, MI, and AIP. In particular, these studies show ... -
Real-time event correlation and alarm rule mining models for complex event processing systems
Çelebi, Ömer Faruk (2013-08)World is creating the same quantity of data every two days, as it created from up until 2003. Evolving data streams are key factor for the growth of data created over the last few years. Streaming data analysis in real-time ... -
Realtime healthcare services via nested complex event processing technology
Liu, M.; Ray, M.; Zhang, D.; Rundensteiner, E.; Dougherty, D. J.; Gupta, C.; Wang, S.; Arı, İsmail (The ACM Digital Library, 2012)Complex Event Processing (CEP) over event streams has become increasingly important for real-time applications ranging from healthcare to supply chain management. In such applications, arbitrarily complex sequence patterns ... -
Reasoning about uncertain information and conflict resolution through trust revision
Şensoy, Murat; Fokoue, A.; Pan, J. Z.; Norman, T. J.; Tang, Y.; Oren, N.; Sycara, K. (International Foundation for Autonomous Agents and Multiagent Systems, 2013)In information driven MAS, information consumers collect information about their environment from various sources such as sensors. However, there is no guarantee that a source will provide the requested information truthfully ... -
Reasoning under uncertainty: variations of subjective logic deduction
Kaplan, L. M.; Şensoy, Murat; Tang, Y.; Chakraborty, S.; Bisdikian, C.; de Mel, G. (IEEE, 2013)This work develops alternatives to the classical subjective logic deduction operator. Given antecedent and consequent propositions, the new operators form opinions of the consequent that match the variance of the consequent ... -
Reasoning with uncertain information and trust
Şensoy, Murat; Mel, G. de; Fokoue, A.; Norman, T. J.; Pan, J. Z.; Tang, Y.; Oren, N.; Sycara, K.; Kaplan, L.; Pham, T. (SPIE, 2013)A limitation of standard Description Logics is its inability to reason with uncertain and vague knowledge. Although probabilistic and fuzzy extensions of DLs exist, which provide an explicit representation of uncertainty, ...
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