Browsing by Author "Şensoy, Murat"
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A 2020 perspective on “A generalized stereotype learning approach and its instantiation in trust modeling”
Fang, H.; Zhang, J.; Şensoy, Murat (Elsevier, 2020-03)Owing to the rapid increase of user data and development of machine learning techniques, user modeling has been explored in depth and exploited by both academia and industry. It has prominent impacts in e-commercerelated ... -
Agent-based semantic collaborative search
Şensoy, Murat (Executive Committee, Taiwan Academic Network, Ministry of Education, 2013)Next generation of the Web builds upon technologies such as Semantic Web and Intelligent Software Agents. These technologies aim at knowledge representation that allows both humans and software agents to understand and ... -
Agilely assigning sensing assets to mission tasks in a coalition context
Preece, A.; Norman, T.; de Mel, G.; Pizzocaro, D.; Şensoy, Murat; Pham, T. (IEEE, 2013)When managing intelligence, surveillance, and reconnaissance (ISR) operations in a coalition context, assigning available sensing assets to mission tasks can be challenging. The authors' approach to ISR asset assignment ... -
Combining semantic web and IoT to reason with health and safety policies
Göynügür, Emre; Şensoy, Murat; Mel, G. de (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 ... -
Cooperation and trust in the presence of bias
Şensoy, Murat (2014)Stereotypes may influence the attitudes that individuals have towards others. Stereotypes, therefore, represent biases toward and against others. In this paper, we formalise stereotypical bias within trust evaluations. ... -
Digital oil refinery: utilizing real-time analytics and cloud computing over industrial sensor data
Khodabakhsh, Athar (2018-12-14)This thesis addresses big data challenges seen in large-scale, mission-critical industrial plants such as oil refineries. These plants are equipped with heavy machinery (boilers, engines, turbines, etc.) that are continuously ... -
Discovering frequent patterns to bootstrap trust
Şensoy, Murat; Yilmaz, B.; Norman, T. J. (Springer International Publishing, 2013)When a new agent enters to an open multiagent system, bootstrapping its trust becomes a challenge because of the lack of any direct or reputational evidence. To get around this problem, existing approaches assume the same ... -
Enabling smart environments through scalable policy reasoning and Internet of Things
Göynügür, Emre; Şensoy, Murat; de Mel, G. (Wiley, 2019-04)In this paper, we discuss how to combine ontology-based policy reasoning mechanisms with in-use Internet of Things applications to customize and automate device behaviors. We discuss how the policy framework can be extended ... -
Enhancing deep learning models for campaign participation prediction
Ayvaz, Demet (2019-07-31)Companies engage with their customers in order to establish a long-term relationship. Targeting the right audience with the right product is crucial for providing better services to customers, increasing their loyalty to ... -
Evidential deep learning to quantify classification uncertainty
Şensoy, Murat; Kaplan, L.; Kandemir, M. (Neural Information Processing Systems Foundation, 2018)Deterministic neural nets have been shown to learn effective predictors on a wide range of machine learning problems. However, as the standard approach is to train the network to minimize a prediction loss, the resultant ... -
FUSE-BEE: Fusion of subjective opinions through behavior estimation
Şensoy, Murat; Kaplan, L.; Ayci, Gönül; de Mel, G. (IEEE, 2015)Information is critical in almost all decision making processes. Therefore, it is important to get the right information at the right time from the right sources. However, information sources may behave differently while ... -
Fusion of subjective opinions through behavior estimation
Aycı, Gönül (2016-01)Information is significantly important in almost all decision-making process. A decision- maker agent collects information from diverse sources. Thus, it should correctly fuse opinions, which are shared from different ... -
A generalized stereotype learning approach and its instantiation in trust modeling
Fang, H.; Zhang, J.; Şensoy, Murat (Elsevier, 2018-08)Owing to the lack of historical data regarding an entity in online communities, a user may rely on stereotyping to estimate its behavior based on historical data about others. However, these stereotypes cannot accurately ... -
Goal directed policy conflict detection and prioritisation: an empirical evaluation
Aphale, M. S.; Norman, T. J.; Şensoy, Murat (Springer Science+Business Media, 2014)We address the problem of developing effective automated reasoning support for the detection and resolution of conflicts between plans and policies (or norms). How automated reasoning mechanisms can effectively support ... -
How to trust a few among many
Etuk, A.; Norman, T. J.; Şensoy, Murat; Srivatsa, M. (Springer International Publishing, 2017)The presence of numerous and disparate information sources available to support decision-making calls for efficient methods of harnessing their potential. Information sources may be unreliable, and misleading reports can ... -
A hybrid reasoning mechanism for effective sensor selection for tasks
de Mel, G.; Şensoy, Murat; Vasconcelos, W.; Norman, T. J. (Elsevier, 2013-02)In this paper, we present Ontological Logic Programming (OLP), a novel approach that combines logic programming with ontological reasoning. OLP enables the use of ontological terms (i.e., individuals, classes and properties) ... -
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 ...
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