Browsing Computer Science by Author "1"
Now showing items 121-140 of 232
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Learning to grasp with parental scaffolding
Ugur, E.; Celikkanat, H.; Şahin, E.; Nagai, Y.; Öztop, Erhan (IEEE, 2011)Parental scaffolding is an important mechanism utilized by infants during their development. Infants, for example, pay stronger attention to the features of objects highlighted by parents and learn the way of manipulating ... -
The likeability-success tradeoff: results of the 2nd annual human-agent automated negotiating agents competition
Mell, J.; Gratch, J.; Aydoğan, Reyhan; Baarslag, T.; Jonker, C. M. (IEEE, 2019)We present the results of the 2nd Annual Human-Agent League of the Automated Negotiating Agent Competition. Building on the success of the previous year's results, a new challenge was issued that focused exploring the ... -
Load and stress testing for SDN’s northbound API
Latah, Majd; Toker, L. (Springer Nature, 2020-01)In this work, we apply load and stress testing for well-known Software defined networking (SDN) controllers from an SDN application perspective. More precisely, we focus on the communication between the controller and SDN ... -
A machine learning approach for mechanism selection in complex negotiations
Aydoğan, Reyhan; Marsa-Maestre, I.; Klein, M.; Jonker, C. M. (Springer Nature, 2018-04)Automated negotiation mechanisms can be helpful in contexts where users want to reach mutually satisfactory agreements about issues of shared interest, especially for complex problems with many interdependent issues. A ... -
Machine learning based activity learning for behavioral contexts in Internet of things (IoT)
Safyan, M.; Sarwar, S.; Ul Qayyum, Z.; Iqbal, M.; Li, S. C.; Kashif, Muhammad (Springer Nature, 2020-12)Ontology based activity learning models play a vital role in diverse fields of Internet of Things (IoT) such as smart homes, smart hospitals or smart communities etc. The prevalent challenges with ontological models are ... -
Maximum likelihood estimate of parameters of Nakagami-m distribution
Mitra, Rangeet; Mishra, A. K.; Choubisa, T. (IEEE, 2012)Nakagami-m distribution is well known for its ability to model a number of probability density functions, be it symmetric or asymmetric. Many Maximum Likelihood parameter estimation techniques for this distribution have ... -
Medical podcasting in Iran; pilot, implementation and attitude evaluation
Heydarpour, P; Hafezi-Nejad, N.; Khodabakhsh, Ali; Khosravi, M.; Khoshkish, S.; Sadeghian, M.; Samavat, B.; Faturechi, A.; Pasalar, P.; Dehpour, A. R. (Tehran University of Medical Sciences, 2013)Podcasting has become a popular means of transferring knowledge in higher education through making lecture contents available to students at their convenience. Accessing courses on media players provides students with ... -
MedSpecSearch: Medical specialty search
Şahin, Mehmet Uluç; Balatkan, Eren; Eran, Cihan; Zeydan, E.; Yeniterzi, Reyyan (Springer Nature, 2019)MedSpecSearch (www.medspecsearch.com) is a search engine for helping users to find the relevant medical specialty for a doctor visit based on users’ description of symptoms. This system is useful for users who are not sure ... -
Metric labeling and semimetric embedding for protein annotation prediction
Sefer, Emre; Kingsford, C. (Mary Ann Liebert, Inc., 2021-05-01)Computational techniques have been successful at predicting protein function from relational data (functional or physical interactions). These techniques have been used to generate hypotheses and to direct experimental ... -
Minimizing false positive rate for DoS attack detection: A hybrid SDN-based approach
Latah, Majd; Toker, L. (Elsevier, 2020-06)Denial of Service attacks (DoS) are considered to be a major threat against today's communication networks. Recently, a novel networking paradigm that provides enhanced programming abilities has been proposed to attain an ... -
Mirror neurons: Functions, mechanisms and models
Öztop, Erhan; Kawato, M.; Arbib, M. A. (Elsevier, 2013-04-12)Mirror neurons for manipulation fire both when the animal manipulates an object in a specific way and when it sees another animal (or the experimenter) perform an action that is more or less similar. Such neurons were ... -
Model-based software product line testing by coupling feature Mmodels with hierarchical Markov chain usage models
Sahin Gebizli, C.; Sözer, Hasan (IEEE, 2016)Model-based testing automates test case generation based on usage models of a system. In this paper, we introduce an approach for systematic reuse of these models for testing a large family of products. In our approach, ... -
Model-based testing of digital TVs: an industry-as-laboratory approach
Sözer, Hasan; Şahin Gebizli, C. (Springer Science+Business Media, 2017-12)Model-based testing is a promising approach for increasing the efficiency of the testing process and for improving software quality. It has been employed in the industry for more than a decade. Nevertheless, there are still ... -
Modeling the development of infant imitation using inverse reinforcement learning
Tekden, A. E.; Ugur, E.; Nagai, Y.; Öztop, Erhan (IEEE, 2018-09)Little is known about the computational mechanisms of how imitation skills develop along with infant sensorimotor learning. In robotics, there are several well developed frameworks for imitation learning or so called ... -
MOO: An architectural framework for runtime optimization of multiple system objectives in embedded control software
Roo, A. de; Sözer, Hasan; Bergmans, L.; Akşit, M. (Elsevier, 2013-10)Today's complex embedded systems function in varying operational conditions. The control software adapts several control variables to keep the operational state optimal with respect to multiple objectives. There exist ... -
Moving switching functions to continuous domain
Ayav, T.; Sözer, Hasan (IEEE, 2016)This paper proposes a method for moving switching functions to continuous domain. The benefits of this approach are twofold. First, the elementary calculus works with the transformed functions. Second, this transformation ... -
Multivariate sensor data analysis for oil refineries and multi-mode identification of system behavior in real-time
Khodabakhsh, Athar; Arı, İsmail; Bakır, M.; Ercan, Ali Özer (IEEE, 2018)Large-scale oil refineries are equipped with mission-critical heavy machinery (boilers, engines, turbines, and so on) and are continuously monitored by thousands of sensors for process efficiency, environmental safety, and ... -
A near Pareto optimal approach to student–supervisor allocation with two sided preferences and workload balance
Sanchez-Anguix, V.; Chalumuri, R.; Aydoğan, Reyhan; Julian, V. (Elsevier, 2019-03)The problem of allocating students to supervisors for the development of a personal project or a dissertation is a crucial activity in the higher education environment, as it enables students to get feedback on their work ... -
NEEL: The nested complex event language for real-time event analytics
Liu, M.; Rundensteiner, E. A.; Dougherty, D.; Gupta, C.; Wang, S.; Arı, İsmail; Mehta, A. (Springer International Publishing, 2011)Complex event processing (CEP) over event streams has become increasingly important for real-time applications ranging from health care, supply chain management to business intelligence. These monitoring applications submit ... -
Negotiation for incentive driven privacy-preserving information sharing
Aydoğan, Reyhan; Øzturk, P.; Razeghi, Yousef (Springer International Publishing, 2017)This paper describes an agent-based, incentive-driven, and privacy-preserving information sharing framework. Main contribution of the paper is to give the data provider agent an active role in the information sharing process ...
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