Browsing by Author "Aydoğan, Reyhan"
Now showing items 41-60 of 76
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A general-purpose protocol for multi-agent based explanations
Ciatto, G.; Magnini, M.; Buzcu, Berk; Aydoğan, Reyhan; Omicini, A. (Springer, 2023)Building on prior works on explanation negotiation protocols, this paper proposes a general-purpose protocol for multi-agent systems where recommender agents may need to provide explanations for their recommendations. The ... -
High-level representations through unconstrained sensorimotor learning
Living organisms, in particular mammals are adept at learning complex tasks that may require basic planning such as tool use and manipulation. This ability is manifested by the central nervous system; in particular by the ... -
Image denoising using deep convolutional autoencoders
Çetinkaya, Ekrem (2019-08-19)Image denoising is one of the fundamental problems in image processing eld since it is required by many computer vision applications. Various approaches have been used in image denoising throughout the years from spatial ... -
An introduction to the pocket negotiator: a general purpose negotiation support system
Jonker, C. M.; Aydoğan, Reyhan; Baarslag, T.; Broekens, j.; Detweiler, C. A.; Hindriks, K. V.; Huldtgren, A.; Pasman, W. (Springer International Publishing, 2017)The Pocket Negotiator (PN) is a negotiation support system developed at TU Delft as a tool for supporting people in bilateral negotiations over multi-issue negotiation problems in arbitrary domains. Users are supported in ... -
Let’s negotiate with jennifer! towards a speech-based human-robot negotiation
Aydoğan, Reyhan; Keskin, Onur; Çakan, Onur (Springer, 2021)Social robots are becoming prevalent in our society, and most of the time, they need to interact with humans in order to accomplish their tasks. Negotiation is one of the inevitable processes they need to be involved to ... -
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 ... -
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 to predict junction temperature based on optical characteristics in solid-state lighting devices: A test on WLEDs
Azarifar, Mohammad; Ocaksönmez, Kerem; Cengiz, Ceren; Aydoğan, Reyhan; Arık, Mehmet (MDPI, 2022-08)While junction temperature control is an indispensable part of having reliable solid-state lighting, there is no direct method to measure its quantity. Among various methods, temperature-sensitive optical parameter-based ... -
Metrics for evaluating explainable recommender systems
Hulstijn, J.; Tchappi, I.; Najjar, A.; Aydoğan, Reyhan (Springer, 2023)Recommender systems aim to support their users by reducing information overload so that they can make better decisions. Recommender systems must be transparent, so users can form mental models about the system’s goals, ... -
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-lingual depression-level assessment from conversational speech using acoustic and text features
Özkanca, Yasin Serdar (2018-12-19)Depression is a common mental health problem around the world with a large burden on economies, well-being, hence productivity, of individuals. Early diagnosis and detection of depression can aid treatment, but diagnosis ... -
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 ... -
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 ... -
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 ... -
Negotiation-based decentralized conflict resolution in multi-agent path finding
This thesis addresses the problem of Multi-Agent Path Finding problem where multiple agents aim to reach their destination in a grid world without any colli sion. It aims to provide a solution achieving good trade-off ... -
Not all mistakes are equal
Şensoy, M.; Saleki, Maryam; Julier, S.; Aydoğan, Reyhan; Reid, J. (The ACM Digital Library, 2020)In many tasks, classifiers play a fundamental role in the way an agent behaves. Most rational agents collect sensor data from the environment, classify it, and act based on that classification. Recently, deep neural networks ... -
Nova: Value-based negotiation of norms
Aydoğan, Reyhan; Kafali, Ö.; Jonker, C. M.; Singh, M. P. (ACM, 2021-08-01)Specifying a normative multiagent system (nMAS) is challenging, because different agents often have conflicting requirements. Whereas existing approaches can resolve clear-cut conflicts, tradeoffs might occur in practice ... -
Optimal negotiation decision functions in time-sensitive domains
Baarslag, T.; Gerding, E. H.; Aydoğan, Reyhan; Schraefel, M. C. (IEEE, 2015)The last two decades have seen a growing interest in automated agents that are able to negotiate on behalf of human negotiators in a wide variety of negotiation domains. One key aspect of a successful negotiating agent is ... -
Predicting shuttle arrival time in istanbul
Çoban, Selami; Sanchez-Anguix, V.; Aydoğan, Reyhan (Springer Nature, 2020)Nowadays, transportation companies look for smart solutions in order to improve quality of their services. Accordingly, an intercity bus company in Istanbul aims to improve their shuttle schedules. This paper proposes ... -
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