Browsing by Author "Şensoy, Murat"
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Increasing visual detail for tv watchers with color vision deficiencies by using image processing methods
Kırgız, Gamze (2018-05)There are three types of cone cells in the human retina that respond to different color spectrums. The signals generated by these cone cells are combined and the color information is interpreted. Color blindness, or color ... -
Inference management, trust and obfuscation principles for quality of information in emerging pervasive environments
Bisdikian, C.; Gibson, C.; Chakraborty, S.; Srivastava, M. B.; Şensoy, Murat; Norman, T. J. (Elsevier, 2014-04)The emergence of large scale, distributed, sensor-enabled, machine-to-machine pervasive applications necessitates engaging with providers of information on demand to collect the information, of varying quality levels, to ... -
Intelligent information gathering for open world policy reasoning
Büyükyıldız, İrfan Can (2015-08)Sistem politikaları her birimin kendi hedeflerine ulaşmaya çalıştığı çoklu etmen sistemlerinde önemli bir rol oynamaktadır. Politikalar ve ilgili mekanizmalar birimlerin kötü niyetli ve istenmeyen faaliyetlerini engellemek ... -
Interest-based negotiation for policy-regulated asset sharing
Parizas, C.; de Mel, G.; Preece, A. D.; Şensoy, Murat; Calo, S. B.; Pham, T. (Springer Nature, 2016)Resources sharing is an important but complex problem to be solved. The problem is exacerbated in a coalition context due to policy constraints, that reflect concerns regarding security, privacy and performance to name a ... -
Interpretability of deep learning models: a survey of results
Chakraborty, S.; Tomsett, R.; Raghavendra, R.; Harborne, D.; Alzantot, M.; Cerutti, F.; Srivastava, M.; Preece, A.; Julier, S.; Rao, R. M.; Kelley, T. D.; Braines, D.; Şensoy, Murat; Willis, C. J.; Gurram, P. (IEEE, 2018-06-26)Deep neural networks have achieved near-human accuracy levels in various types of classification and prediction tasks including images, text, speech, and video data. However, the networks continue to be treated mostly as ... -
A knowledge driven policy framework for internet of things
Goynugur, Emre; De Mel, G.; Şensoy, Murat; Talamadupula, K.; Calo, S. (ScitePress, 2017)With the proliferation of technology, connected and interconnected devices (henceforth referred to as IoT) are fast becoming a viable option to automate the day-to-day interactions of users with their environment—be it ... -
Learning and reasoning in complex coalition information environments: a critical analysis
Cerutti, F.; Alzantot, M.; Xing, T.; Harborne, D.; Bakdash, J. Z.; Braines, D.; Chakraborty, S.; Kaplan, L.; Kimmig, A.; Preece, A.; Raghavendra, R.; Şensoy, Murat; Srivastava, M. (IEEE, 2018-09-05)In this paper we provide a critical analysis with metrics that will inform guidelines for designing distributed systems for Collective Situational Understanding (CSU). CSU requires both collective insight - i.e., accurate ... -
Location attestation and access control for mobile devices using GeoXACML
Arunkumar, S.; Soyluoglu, Berker; Şensoy, Murat; Srivatsa, M.; Rajarajan, M. (Elsevier, 2017-02)Access control has been applied in various scenarios in the past for negotiating the best policy. Solutions with XACML for access control has been very well explored by research and have resulted in significant contributions ... -
Location-based access control and trust in location estimation
Soyluoğlu, Berker (2017-01)With the introduction of touchscreen smartphones our way of life changed. Indie developers are in a rush to find the next big thing. Available sensors and the powerful mobile operating systems made location aware applications ... -
Misclassification risk and uncertainty quantification in deep classifiers
Şensoy, Murat; Saleki, Maryam; Julier, S.; Aydoğan, Reyhan; Reid, J. (IEEE, 2021)In this paper, we propose risk-calibrated evidential deep classifiers to reduce the costs associated with classification errors. We use two main approaches. The first is to develop methods to quantify the uncertainty of a ... -
Multi-scale binary similarity a local binary pattern variant for face recognition
Tavlı, Ahmet (2018-08)Face recognition problem were studied for more than four-decade, and many descriptors and neural network architectures have been proposed since then. The aim is simple, extract features from the same subjects for training ... -
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 ... -
Partial observable update for subjective logic and its application for trust estimation
Kaplan, L.; Şensoy, Murat; Chakraborty, S.; de Mel, G. (Elsevier, 2015)Subjective Logic (SL) is a type of probabilistic logic, which is suitable for reasoning about situations with uncertainty and incomplete knowledge. In recent years, SL has drawn a significant amount of attention from the ... -
Policy conflict resolution in IoT via planning
Göynügür, Emre; Bernardini, S.; Mel, G. de; Talamadupula, K.; Şensoy, Murat (Advances in Artificial Intelligence, 2017)With the explosion of connected devices to automate tasks, manually governing interactions among such devices—and associated services—has become an impossible task. This is because devices have their own obligations and ... -
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 ... -
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 ... -
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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