Browsing Computer Science by Title
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The 13th international automated negotiating agent competition challenges and results
(Springer, 2023)An international competition for negotiating agents has been organized for years to facilitate research in agent-based negotiation and to encourage the design of negotiating agents that can operate in various scenarios. ... -
A 2020 perspective on “A generalized stereotype learning approach and its instantiation in trust modeling”
(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 ... -
ACNMP: skill transfer and task extrapolation through learning from demonstration and reinforcement learning via representation sharing
(ML Research Press, 2020)To equip robots with dexterous skills, an effective approach is to first transfer the desired skill via Learning from Demonstration (LfD), then let the robot improve it by self-exploration via Reinforcement Learning (RL). ... -
Action and language mechanisms in the brain: data, models and neuroinformatics
(Springer Science+Business Media, 2014-01)We assess the challenges of studying action and language mechanisms in the brain, both singly and in relation to each other to provide a novel perspective on neuroinformatics, integrating the development of databases for ... -
Actor-critic reinforcement learning for bidding in bilateral negotiation
(TÜBİTAK, 2022)Designing an effective and intelligent bidding strategy is one of the most compelling research challenges in automated negotiation, where software agents negotiate with each other to find a mutual agreement when there is ... -
Adaptive domain-specific service monitoring
(Springer Science+Business Media, 2014)We propose an adaptive and domain-specific service monitoring approach to detect partner service errors in a cost-effective manner. Hereby, we not only consider generic errors such as file not found or connection timed ... -
Adaptive inverse kinematics of a 9-DOF surgical robot for effective manipulation
(IEEE, 2019)In a robotic-assisted surgical system, fine and precise movement is essential. However, when the user wishes to cover a wider area during tele-operation, the configuration designed for precise motion may restrict the user ... -
Adaptive shared control with human intention estimation for human agent collaboration
(IEEE, 2022)In this paper an adaptive shared control frame-work for human agent collaboration is introduced. In this framework the agent predicts the human intention with a confidence factor that also serves as the control blending ... -
Adaptive streaming of content-aware-encoded videos in dash.js
(IEEE, 2022-05)In Hypertext Transfer Protocol (HTTP) adaptive streaming, the client makes rate adaptation decisions based on the measured network bandwidth and buffer fullness. This simplifies the adaptation logic; however, it often ... -
Adjusting content work flow infrastructures for HDR
(IEEE, 2018-11-28)This paper discusses what areas of a content workflow infrastructure are affected by integrating new high dynamic range (HDR) video formats into the system while also still continuing to process the standard dynamic range ... -
Advancing humanoid robots for social integration: Evaluating trustworthiness through a social cognitive framework
(IEEE, 2023)Trust is an essential concept for human-human and human-robot interactions. Yet only a few studies have addressed this concept from a robot perspective - that is, forming robot trust in interaction partners. Our previous ... -
ADVISOR: An adjustable framework for test oracle automation of visual output systems
(IEEE, 2020-09)Test oracles differentiate between the correct and incorrect system behavior. Automation of test oracles for visual output systems mainly involves image comparison, where a snapshot of the output is compared with respect ... -
Affordance-based altruistic robotic architecture for human–robot collaboration
(Sage, 2019-08)This article proposes a computational model for altruistic behavior, shows its implementation on a physical robot, and presents the results of human-robot interaction experiments conducted with the implemented system. ... -
Agent-based semantic collaborative search
(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
(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 ... -
AhBuNe agent: Winner of the eleventh international automated negotiating agent competition (ANAC 2020)
(Springer, 2023)The International Automated Negotiating Agent Competition introduces a new challenge each year to facilitate the research on agent-based negotiation and provide a test benchmark. ANAC 2020 addressed the problem of designing ... -
AIM 2022 challenge on instagram filter removal: Methods and results
(Springer, 2023)This paper introduces the methods and the results of AIM 2022 challenge on Instagram Filter Removal. Social media filters transform the images by consecutive non-linear operations, and the feature maps of the original ... -
Aktör tabanlı sistemler için test kapsama kriterleri
(CEUR-WS, 2018)Aktör tabanlı sistemler, eşzamanlı çalışan ve birbirleri ile asenkron bir şekilde haberleşen aktör isimli otonom elemanlardan oluşmaktadırlar. Asenkron haberleşme sebebiyle aktörler arasında paylaşılan mesajların sıralaması ... -
Algorithm selection and combining multiple learners for residential energy prediction
(Elsevier, 2019-10)Balancing supply and demand management in energy grids requires knowing energy consumption in advance. Therefore, forecasting residential energy consumption accurately plays a key role for future energy systems. For this ... -
Algorithms for obtaining parsimonious higher order neurons
(Springer International Publishing, 2017)Most neurons in the central nervous system exhibit all-or-none firing behavior. This makes Boolean Functions (BFs) tractable candidates for representing computations performed by neurons, especially at finer time scales, ...
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