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Reassessment and monitoring of loan applications with machine learning
(Taylor & Francis, 2018-11-26)
Credit scoring and monitoring are the two important dimensions of the decision-making process for the loan institutions. In the first part of this study, we investigate the role of machine learning for applicant reassessment ...
Relocating the arts in the new Istanbul: urban imaginary as a contested zone
(Informa Group, 2014)
Parallel to its reconstitution as a global city, Istanbul has experienced an expansion of the arts through the foundation of new institutions, such as museums and galleries, and the dissemination of art events and exhibitions ...
Analysis of speech-based measures for detecting and monitoring Alzheimer’s disease
(Springer Science+Business Media, 2014)
Automatic diagnosis of the Alzheimer’s disease as well as monitoring of the diagnosed patients can make significant economic impact on societies. We investigated an automatic diagnosis approach through the use of speech ...
Round Table & Discussion
(Özyeğin University, 2015-03-26)
The transition of the actual two airports system (Istanbul Ataturk - IST and Sabiha Gokcen - SAW), with the capacity shortages, into the new airport System (Istanbul New Airport and Sabiha Gokcen) was discussed. The optimal ...
A multiparadigm approach to interpretation in architecture: exploring ideological meaning in political party headquarters
(ODTU, 2014)
The attempts to make sense of the built environment are conceptualised within various disciplines also including linguistics and literature. Current theories in literary criticism support different movements in meaning ...
Speaker adaptation with minimal data in statistical speech synthesis systems
(2014-09)
Statistical speech synthesis (SSS) systems have the ability to adapt to a target speaker with a couple of minutes of adaptation data. Developing adaptation algorithms to further reduce the number of adaptation utterances ...
High-rate distributed space-time-frequency coding for wireless cooperative networks
(IEEE, 2011-02)
In this paper, we propose high-rate distributed space-time-frequency codes (DSTFCs) to exploit maximum achievable diversity gains over frequency-selective fading channels. The proposed designs achieve full-rate for any ...
Hybrid nearest-neighbor/cluster adaptive training for rapid speaker adaptation in statistical speech synthesis systems
(International Speech Communication Association, 2013)
Statistical speech synthesis (SSS) approach has become one of the most popular methods in the speech synthesis field. An advantage of the SSS approach is the ability to adapt to a target speaker with a couple of minutes ...
Finding relevant features for statistical speech synthesis adaptation
(European Language Resources Association, 2014-05)
Statistical speech synthesis (SSS) models typically lie in a very high-dimensional space. They can be used to allow speech synthesis on digital devices, using only few sentences of input by the user. However, the adaptation ...
Achievable data rates and power allocation for frequency-selective fading relay channels with imperfect channel estimation
(Springer Science+Business Media, 2012-12)
In this article, we investigate the information-theoretical performance of a cooperative orthogonal frequency division multiplexing (OFDM) system with imperfect channel estimation. Assuming the deployment of training-aided ...
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