İlkay Ulusoy

E-mail

ilkay@metu.edu.tr

Department

Department of Electrical and Electronics Engineering

ORCID

0000-0002-0863-7116

Scopus Author ID

8707741300

Web of Science Researcher ID

AAZ-9415-2020

Elimination of Non-Novel Segments at Multi-Scale for Few-Shot Segmentation Kayabasi, Alper; Tufekci, Gulin; Ulusoy, İlkay (2023-01-01) Few-shot segmentation aims to devise a generalizing model that segments query images from unseen classes during training with the guidance of a few support images whose class tally with the class of the query. There exist ...
Detecting Driver Drowsiness as an Anomaly Using LSTM Autoencoders Tüfekci, Gülin; Kayabaşı, Alper; Akagündüz, Erdem; Ulusoy, İlkay (2023-01-01) In this paper, an LSTM autoencoder-based architecture is utilized for drowsiness detection with ResNet-34 as feature extractor. The problem is considered as anomaly detection for a single subject; therefore, only the norma...
Filtering Clean Sample from Noisy Datasets by Creating and Analyzing Artifical Class Yıldırım, Botan; Ulusoy, İlkay (2022-05-15)
A Comparative Analysis of Revealing Temporal Patterns for Driver Drowsiness Detection Ulusoy, İlkay; tüfekçi, gülin; Kayabaşı, Alper (2022-05-15)
MetaLabelNet: Learning to Generate Soft-Labels From Noisy-Labels Algan, Gorkem; Ulusoy, İlkay (2022-01-01) Real-world datasets commonly have noisy labels, which negatively affects the performance of deep neural networks (DNNs). In order to address this problem, we propose a label noise robust learning algorithm, in which the ba...
Interrupted processing of paired somatosensory stimuli in short interstimulus intervals: role of thalamo-cortical oscillations Tepe, Nermin; BORAN, HÜRREM EVREN; Gedük, Salih; DİLEKÖZ, ERGİN; Ulusoy, İlkay; BELEN, HAYRUNNİSA BOLAY (2022-1-01) Background/aim: Discrimination of consecutive sensory stimuli is imperative for proper sensory perception and behavioral response. We aimed to investigate the emergence of paired somatosensory responses in relation to the ...
Image classification with deep learning in the presence of noisy labels: A survey Algan, Gorkem; Ulusoy, İlkay (2021-03-01) Image classification systems recently made a giant leap with the advancement of deep neural networks. However, these systems require an excessive amount of labeled data to be adequately trained. Gathering a correctly annot...
A practical analysis of sample complexity for structure learning of discrete dynamic Bayesian networks Geduk, Salih; Ulusoy, İlkay (2021-02-01) Discrete Dynamic Bayesian Network (dDBN) is used in many challenging causal modelling applications, such as human brain connectivity, due to its multivariate, non-deterministic, and nonlinear capability. Since there is not...
Meta Soft Label Generation for Noisy Labels Algan, Gorkem; Ulusoy, İlkay (2021-01-01) The existence of noisy labels in the dataset causes significant performance degradation for deep neural networks (DNNs). To address this problem, we propose a Meta Soft Label Generation algorithm called MSLG, which can joi...
KCl-induced cortical spreading depression waves more heterogeneously propagate than optogenetically-induced waves in lissencephalic brain: an analysis with optical flow tools Donmez-Demir, Buket; ERDENER, ŞEFİK EVREN; KARATAŞ KURŞUN, HÜLYA; Kaya, Zeynep; Ulusoy, İlkay; DALKARA, TURGAY (Springer Science and Business Media LLC, 2020-07-01) Although cortical spreading depolarizations (CSD) were originally assumed to be homogeneously and concentrically propagating waves, evidence obtained first in gyrencephalic brains and later in lissencephalic brains suggest...

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