• An FPGA implementation of givens rotation based digital architecture for computing eigenvalues of asymmetric matrix 

  Köseoğlu, İlayda; Öztürk, Elif; Ayhan, Tuba; Yalçın, Mustak Erhan (IEEE, 2022)

  This paper proposes the digital circuit design that performs the eigenvalue calculation of asymmetric matrices with realvalued elements. Eigenvalues are computed iteratively through the QR algorithm. In the QR algorithm, ...

• A bayesian allocation model based approach to mixed membership stochastic blockmodels 

  Hızlı, Çağlar; Kırbız, Serap (Taylor and Francis Ltd., 2022)

  Although detecting communities in networks has attracted considerable recent attention, estimating the number of communities is still an open problem. In this paper, we propose a model, which replicates the generative ...

• Quasi-newton based inversion method for determining complex dielectric permittivity of 3D inhomogeneous objects 

  Coşğun, Sema; Bilgin, Egemen; Çayören, Mehmet (IEEE, 2022)

  We present a new method for determining the complex dielectric permittivity profile of 3D inhomogeneous dielectric objects from measurements of the scattered electric field vectors in the frequency domain. The method is ...

• Adaptive human force scaling via admittance control for physical human-robot interaction 

  Hamad, Yahya M.; Aydın, Yusuf; Başdoğan, Çağatay (IEEE, 2021)

  The goal of this article is to design an admittance controller for a robot to adaptively change its contribution to a collaborative manipulation task executed with a human partner to improve the task performance. This has ...

• Improving the usage of subword-based units for Turkish speech recognition 

  Çetinkaya, Gözde; Arısoy, Ebru; Saraçlar, Murat (IEEE, 2020)

  Subword units are often utilized to achieve better performance in speech recognition because of the high number of observed words in agglutinative languages. In this study, the proper use of subword units is explored in ...

• Joint source separation and classification using variational autoencoders 

  Hızlı, Çağlar; Karamatlı, Ertuğ; Kırbız, Serap (IEEE, 2020)

  In this paper, we propose a novel multi-task variational auto encoder (VAE) based approach for joint source separation and classification. The network uses a probabilistic encoder for each sources to map the input data to ...

• Impact of hardware sources on feature selection for online signature verification 

  Orak, Remzi; Ayhan, Tuba (IEEE, 2020)

  This work analyzes time series features gathered from a touchpad which is a part of online signature verification system. A DTW processing unit is implemented on FPGA to be used in time series analysis. To support different ...

• Domain adaptation approaches for acoustic modeling 

  Fakhan, Enver; Arısoy, Ebru (IEEE, 2020)

  In the recent years, with the development of neural network based models, ASR systems have achieved a tremendous performance increase. However, this performance increase mostly depends on the amount of training data and ...

• Feasibility of distorted born iterative method for detecting early stage of heart failure 

  Doğu, Semih; Bilgin, Egemen; Joof, Sulayman; Akıncı, Mehmet Nuri (IEEE, 2020)

  In this paper, we analyze the feasibility of using microwaves to detect early stage of congestive heart failure, which causes water accumulation in the lungs. To this aim, a slice from realistic human torso phantom, which ...

• An FPGA implementation of a RISC-V based SoC system for image processing applications 

  Gholizadehazari, Erfan; Ayhan, Tuba; Ors, Berna (IEEE, 2021)

  The Laplacian filter is one of the fundamental applications in image processing. In our work, the Laplacian filter has been applied to an image, and both hardware and software implementation of the filter has been studied. ...

• An antipodal vivaldi antenna design for torso imaging in a coupling medium 

  Joof, Sulayman; Doğu, Semih; Bilgin, Egemen; Çayören, Mehmet (IEEE, 2021)

  An antipodal Vivaldi antenna designed to operate in a coupling medium with a relative dielectric constant of epsilon(r) = 25 for microwave imaging of torso is presented in this paper. The proposed antenna is similar to the ...

• Highlighting of lecture video closed captions 

  Öztufan, Huseyin Efe; Yıldırım, Göktuğ; Arısoy, Ebru (IEEE, 2020)

  The main purpose of this study is to automatically highlight important regions of lecture video subtitles. Even though watching videos is an effective way of learning, the main disadvantage of video-based education is ...

• Experimental observation of temperature and pressure induced frequency fluctuations in silicon MEMS resonators 

  Pandit, Milind; Mustafazade, Arif; Sobreviela, Guillermo; Zhao, Chun; Zou, Xudong; Seshia A, Ashwin (IEEE, 2021)

  Silicon MEMS resonators are increasingly being adopted for applications in timing and frequency control, as well as precision sensing. It is well established that a key limitation to performance is associated with sensitivity ...

• Uncertainty-Aware Representations for spoken question answering 

  Arısoy, Ebru; Ünlü, Merve (Institute of Electrical and Electronics Engineers Inc., 2021)

  This paper describes a spoken question answering system that utilizes the uncertainty in automatic speech recognition (ASR) to mitigate the effect of ASR errors on question answering. Spoken question answering is typically ...

• A modified newton method formulation for microwave imaging 

  Bilgin, Egemen; Doğu, Semih; Coşğun, Sema; Çayören, Mehmet (IEEE, 2020)

  A new variant of Newton type methods has been developed for quantitative microwave imaging. To deal with the ill-posedness of the inverse problems, standard Newton type methods involve a linearization of the so called data ...

• Microwave imaging of breast cancer with factorization method: SPIONs as contrast agent 

  Coşğun, Sema; Bilgin, Egemen; Çayӧren, Mehmet (Wiley, 2020)

  Female breast at macroscopic scale is a non-magnetic medium, which eliminates the possibility of realizing microwave imaging of the breast cancer based on magnetic permeability variations. However, by administering ...

• Negatif olmayan gürültü giderici değişimli oto-kodlayıcılar kullanarak tek kanaldan kaynak ayrıştırma için zayıf etiket denetimi 

  Karamatlı, Ertuğ; Cemgil, Ali Taylan; Kırbız, Serap (IEEE, 2019)

  Derin öğrenme modelleri, büyük miktarda etiketlenmiş veri bulunduğunda kaynak ayrıştırmada çok başarılı olmaktadır. Bununla birlikte, dikkatlice etiketlenmiş veri kümelerine erişim her zaman mümkün olmamaktadır. Bu bildiride, ...

• İlişkisel veri ayrıştırılmasında model seçimi 

  Hızlı, Çağlar; Cemgil, Taylan; Kırbız, Serap (IEEE, 2019)

  İlişkisel veri analizinde temel bir problem olan topluluk seziminde, ilişkisel veri için model seçimi hala açık bir problemdir. Bu bildiride, Bayesçi atama modelinin (BAM) genel atama çerçevesi içinde, karmaşık üyelik ...

• The impact of D2D connections on network-assisted mobile data offloading 

  Tan, Ahmet Serdar; Zeydan, Engin (IEEE, 2018)

  The exponential increase of mobile data traffic pushes mobile operators to seek more efficient heterogeneous communication techniques. In this study, multi-user extension methods for multiple attribute decision making ...

• Audio source separation using variational autoencoders and weak class supervision 

  Karamatlı, Ertuğ; Cemgil, Ali Taylan; Kırbız, Serap (Institute of Electrical and Electronics Engineers (IEEE), 2019)

  In this letter, we propose a source separation method that is trained by observing the mixtures and the class labels of the sources present in the mixture without any access to isolated sources. Since our method does not ...

View more