Browsing Computer Science by Author "Özyeğin University"
Now showing items 281-300 of 546
-
Instagram filter removal on fashionable images
Kınlı, Osman Furkan; Özcan, Barış; Kıraç, Mustafa Furkan (IEEE, 2021-06)Social media images are generally transformed by filtering to obtain aesthetically more pleasing appearances. However, CNNs generally fail to interpret both the image and its filtered version as the same in the visual ... -
Integrated static code analysis and runtime verification
Sözer, Hasan (Wiley, 2015-10)Static code analysis tools automatically generate alerts for potential software faults that can lead to failures. However, these tools usually generate a very large number of alerts, some of which are subject to false ... -
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 ... -
Interplay between neural computational energy and multimodal processing in robot-robot interaction
Kırtay, M.; Hafner, V. V.; Asada, M.; Öztop, Erhan (IEEE, 2023)Multimodal learning is an active research area that is gaining importance in human-robot interaction. Despite the obvious benefit of levering multiple sensors for perceiving the world, its neural computational cost has not ... -
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 ... -
INTERSPEECH 2009 duygu tanıma yarışması değerlendirmesi
Bozkurt, E.; Erzin, E.; Eroğlu Erdem, Ç.; Erdem, Tanju (IEEE, 2010)Bu makalede INTERSPEECH 2009 Duygu Tanıma Yarışması sonuçlarını değerlendiriyoruz. Yarışmanın sunduğu problem doğal ve duygu bakımından zengin FAU Aibo konuşma kayıtlarının beş ve iki duygu sınıfına en doğru şekilde ... -
Introducing StarDust: A UD-based Dependency Annotation Tool
Yenice, A. B.; Cesur, N.; Kurgun, A.; Yıldız, Olcay Taner (European Language Resources Association (ELRA), 2022)This paper aims to introduce StarDust, a new, open-source annotation tool designed for NLP studies. StarDust is designed specifically to be intuitive and simple for the annotators while also supporting the annotation of ... -
Introduction of a spatio-temporal mapping based POE method for outdoor spaces: Suburban university campus as a case study
Göçer, Özgür; Göçer, K.; Başol, Altuğ Melik; Kıraç, Mustafa Furkan; Özbil, A.; Bakovic, M.; Siddiqui, Faizan Pervez; Özcan, Barış (Elsevier, 2018-11)Outdoor spaces are important to sustainable cities because they establish a common identity for social life by improving quality of urban living. The relation between outdoor spaces and building groups, competency, use ... -
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 ... -
Joint modeling of histone modifications in 3D genome shape through Hi-C interaction graph
Sefer, Emre (Springer, 2021)Chromosome conformation capture experiments such as Hi-C are used to map the three-dimensional spatial organization of genomes. Even though Hi-C interactions are not biased towards any of the histone modifications, previous ... -
A journey towards fully immersive media access
Timmerer, C.; Beğen, Ali Cengiz (2019)Universal media access (UMA) as proposed almost two decades ago is now reality. We can generate, distribute, share, and consume any media content, anywhere, anytime, and with/on any device. A technical breakthrough was the ... -
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 ... -
Kombi̇natoryal test tekni̇kleri̇ni̇n karmaşık olay i̇şleme motorlarında uygulanması
Arı, İsmail; Ölmezoğulları, Erdi; Sözer, Hasan (IEEE, 2012)Testing practice has a critical place during the design, implementation and integration of software, hardware and complex systems composed of these. Cost of failures caused by bugs that could not be detected and fixed early ... -
Konuşmacı aradeğerlemeli SMM tabanlı metinden konuşma sentezleme si̇stemi
Orhan, Mustafa Cem; Demiroğlu, Cenk (IEEE, 2011)Hidden Markov Model (HMM) based text-to-speech (TTS) systems offer many advantages compared to the concatenative approach. One of those advantages is the ability to interpolate between different speakers to generate new ... -
Lane type classification & distance measurement system for autonomous vehicle
Özen, S.; Kaya, Uygar; Semiz, A.; Yalçın, M. F.; Çelebi, A. T. (IEEE, 2023)In this paper, lane type classification and lane distance measurement system are proposed for autonomous vehicles. In the proposed system, the perspective transformation method is applied to the image taken from the vehicle ... -
Language inference with multi-head automata through reinforcement learning
Şekerci, Alper; Köken, Özlem Salehi (IEEE, 2020)The purpose of this paper is to use reinforcement learning to model learning agents which can recognize formal languages. Agents are modeled as simple multi-head automaton, a new model of finite automaton that uses multiple ... -
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 ... -
Learning medical suturing primitives for autonomous suturing
Amirshirzad, Negin; Sunal, Begüm; Bebek, Özkan; Öztop, Erhan (IEEE, 2021)This paper focuses on a learning from demonstration approach for autonomous medical suturing. A conditional neural network is used to learn and generate suturing primitives trajectories which were conditioned on desired ... -
Learning system dynamics via deep recurrent and conditional neural systems
Pekmezci, Mehmet; Uğur, E.; Öztop, Erhan (IEEE, 2021)Although there are various mathematical methods for modeling system dynamics, more general solutions can be achieved using deep learning based on data. Alternative deep learning methods are presented in parallel with the ... -
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 ...
Share this page
