Browsing Computer Science by Author "1"
Now showing items 161-180 of 232
-
Preface
Dignum, V.; Noriega, P.; Şensoy, Murat; Sichman, J. S. (Springer International Publishing, 2016)The pervasiveness of open systems raises a range of challenges and opportunities for research and technological development in the area of autonomous agents and multi-agent systems. Open systems comprise loosely coupled ... -
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 ... -
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) ... -
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, ... -
Reinforcement learning to adjust parametrized motor primitives to new situations
Kober, J.; Wilhelm, A.; Öztop, Erhan; Peters, J. (Springer Science+Business Media, 2012-11)Humans manage to adapt learned movements very quickly to new situations by generalizing learned behaviors from similar situations. In contrast, robots currently often need to re-learn the complete movement. In this paper, ... -
Relating Staged Computation to the Record Calculus
Aktemur, Tankut Barış; Choi, W. (Özyeğin University, 06.09.2010)It has been previously shown that there is a close relation between record calculus and program generation (e.g. Lisp-like quasiquotations): A translation has been defined to convert staged expressions to record calculus ... -
Reproducing failures based on semiformal failure scenario descriptions
Karagöz, G.; Sözer, Hasan (Springer International Publishing, 2017)Due to the increasing size and complexity of software systems, it becomes hard to test these systems exhaustively. As a result, some faults can be left undetected. Undetected faults can lead to failures in deployed systems. ... -
Reputation mechanism for e-commerce in virtual reality environments
Fang, H.; Zhang, J.; Şensoy, Murat; Magnenat-Thalmann, N. (Elsevier, 2014)The interest in 3D technology and virtual reality (VR) is growing both from academia and industry, promoting the quick development of virtual marketplaces (VMs) (i.e. e-commerce systems in VR environments). VMs have inherited ... -
Results of the first annual human-agent league of the automated negotiating agents competition
Mell, J.; Gratch, J.; Baarslag, T.; Aydoğan, Reyhan; Jonker, C. M. (The ACM Digital Library, 2018)We present the results of the first annual Human-Agent League of ANAC. By introducing a new human-agent negotiating platform to the research community at large, we facilitated new advancements in human-aware agents. This ... -
Rethinking frequency opponent modeling in automated negotiation
Tunalı, Okan; Aydoğan, R.; Sanchez-Anguix, V. (Springer International Publishing, 2017)Frequency opponent modeling is one of the most widely used opponent modeling techniques in automated negotiation, due to its simplicity and its good performance. In fact, it outperforms even more complex mechanisms like ... -
Risk-driven model-based testing of washing machine software: an industrial case study
Kırkıcı, A.; Gebizli, C. Ş.; Sözer, Hasan (IEEE, 2018-07-16)We previously introduced an approach for risk-driven model-based testing. In that approach, test models are represented in the form of Markov chains and test case generation is steered by state transition probabilities. ...
Share this page
