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MEF GCRIS Premium Database

The scientific memory of MEF University. Publications, projects, and researchers—all in one place. The heart of open science beats here. 'Open Science. Visible Impact.'

Scholarly Output

2247

Organisations

656

Conference Object

7534

Psikanalitik Kuram: Sigmund Freud

Öztemur, Gizem

Book Part

4272

Arıkanlı Holding'in Kurucusu İbrahim Arıkan Hayatını Kaybetti [habertürk Gazetesi]

Other

2052

Mindfulness: Şimdi ve Burada Bilinçli Farkındalık

Atalay, Zümra

Book

1612

Adi Konkordatoda Çekişmeli Alacaklar Hakkında Dava (iik M. 308/b)

Yazıcı, Çiğdem

Article

1375

Kütüphaneler için Sosyal Medya Politikası

Biçen Aras, Bahar

Report

61485

Emg-Based Bci for Picar Mobilization

Arslan, Şefik Şuayb, Çakar, Tuna

Conference Object

41022

Arıkanlı Holding'in Kurucusu İbrahim Arıkan Hayatını Kaybetti [habertürk Gazetesi]

Other

37290

İşadamı İbrahim Arıkan Hayatını Kaybetti

Other

36699

İşadamı İbrahim Arıkan Yaşamını Yitirdi

Other

31442

Recent Submitted Publications

Article

Understanding Covid-19 Mobility Through Human Capital: A Unified Causal Framework

(Springer, 2024) Bilgel, Fırat; Karahasan, Burhan Can

Conference Object

Weak Label Supervision for Monaural Source Separation Using Non-Negative Denoising Variational Autoencoders

(IEEE, 2019) Karamatli, Ertug; Kirbiz, Serap; Cemgil, Ali Taylan

Deep learning models are very effective in source separation when there are large amounts of labeled data available. However it is not always possible to have carefully labeled datasets. In this paper, we propose a weak supervision method that only uses class information rather than source signals for learning to separate short utterance mixtures. We associate a variational autoencoder (VAE) with each class within a non-negative model. We demonstrate that deep convolutional VAEs provide a prior model to identify complex signals in a sound mixture without having access to any source signal. We show that the separation results are on par with source signal supervision.

Conference Object

Yüz Derinlik Imgelerinde Güdümlü İniş Yöntemini Kullanarak Nirengi Noktası Bulma

(Institute of Electrical and Electronics Engineers Inc., 2015) Akarun, Lale; Camgöz, Necati Cihan; Gökberk, Berk

Article

Turkish Version of the Multidimensional Measure of Emotional Abuse: Preliminary Psychometrics in College Students

(Springer Publishing Co, 2018) Sumer, Zeynep Hatipoglu; Murphy, Christopher M.; Demirtas, Ezgi Toplu

The aim of the current study was to investigate the basic psychometrics of the Multidimensional Measure of Emotional Abuse (MMEA; Murphy & Hoover, 1999) in a Turkish sample. Two hundred and fifty-four college students participated and completed the Turkish version of the MMEA (MMEA-TR) along with the Physical Assault of Conflict Tactics Scale-Revised, Experiences in Close Relationships Inventory, Relationship Assessment Scale, and Social Desirability Questionnaire. Confirmatory factor analysis supported the four-factor structure of the MMEA-TR for both victimization and perpetration reports. This factor structure was cross-validated with an independent older sample of 328 dating college students for perpetration reports. Satisfactory criterion validity and internal consistency reliability results were obtained as well. Based on the preliminary investigation, the MMEA-TR appears to be a psychometrically sound measure of psychological dating aggression perpetration and victimization among college students in Turkey. The results, limitations, and recommendations for future studies were discussed.

Conference Object

Turkish Broadcast News Transcription Revisited

(Institute of Electrical and Electronics Engineers Inc., 2018) Arisoy, Ebru; Saraglar, Murat

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