Identification of corona discharges based on wavelet scalogram images with deep convolutional neural networks
Elsevier BV, Vol. 224, Kasım 2023, ISSN: 0378-7796
ÜÇKOL HALİL İBRAHİM, İLHAN SUAT
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Stock market direction prediction using deep neural networks
25th Signal Processing and Communications Applications Conference (SIU), 15 Mayıs 2017
GÜNDÜZ HAKAN,YASLAN YUSUF,ÇATALTEPE ZEHRA
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Predicting software vulnerabilities and vulnerability inducing code changes using deep neural networks
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2020
SEFA EREN ŞAHİN
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Classification of pediatric snoring episodes using deep convolutional neural networks
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2018
OZAN FIRAT CİVANER
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Classification of the motor EEG signals by using deep neural networks
Bilişim Enstitüsü, İstanbul Teknik Üniversitesi, 2019
LEYLA ABILZADE
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OPTIMIZING DYNAMIC WINDOW APPROACH FOR AUTONOMOUS ROBOTS USING DEEP NEURAL NETWORKS
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2023
MERT ŞEKER
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Multipart music transcription using deep neural networks
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2025
EMİN GERMEN
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Secure and coordinated beamforming in 5G and beyond systems using deep neural networks
Bilişim Enstitüsü, İstanbul Teknik Üniversitesi, 2024
UTKU ÖZMAT
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Character-level dilated deep neural networks for web attack detection
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2024
NAZANIN MOARREF
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Classification of ten different motor imagery eeg signals by using deep neural networks
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2023
NURİ KORHAN
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Advanced techniques and comprehensive analysis in speech emotion recognition using deep neural networks
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2024
AHMET KEMAL YETKİN
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Deep convolutional neural networks for image inpainting
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2017
UĞUR DEMİR
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Evolutionary feature optimization for plant leaf disease detection by deep neural networks
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2022
JALAL SADOON HAMEED AL BAYATI
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Semantic land cover and land use classification using deep convolutional neural networks
Bilişim Enstitüsü, İstanbul Teknik Üniversitesi, 2019
BERK GÜNEY
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A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, Vol. 44, No. 12, Aralık 2022, s. 13, ISSN: 0162-8828
CLOUGH JAMES R., BYRNE NİCHOLAS, ÖKSÜZ İLKAY, ZİMMER VERONİKA, SCHNABEL JULİA A., KİNG ANDREW P.
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Classification of brain strokes using divergence-based convolutional neural networks
BIOMEDICAL SIGNAL PROCESSING AND CONTROL, Vol. 93, Ocak 2024, s. 10, ISSN: 1746-8094
POLAT ÖZLEM,DOKUR ZÜMRAY,ÖLMEZ TAMER
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Channel Attention Networks for Robust MR Fingerprint Matching
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, Vol. 69, No. 4, Ocak 2022, s. 8, ISSN: 0018-9294
SOYAK REFİK, NAVRUZ EBRU, RSOY EDA ÖZGÜ E, CRUZ GASTAO, PRİETO CLAUDİA, KİNG ANDREW P., ÜNAY DEVRİM, ÖKSÜZ İLKAY
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Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation
IEEE TRANSACTIONS ON MEDICAL IMAGING, Vol. 39, No. 12, Aralık 2020, s. 4001-4010, ISSN: 0278-0062
ÖKSÜZ İLKAY,CLOUGH JAMES R.,RUİJSİNK BRAM,PUYOL-ANTON ESTHER,BUSTİN AURELİEN,CRUZ GASTAO,PRİETO CLAUDİA,KİNG ANDREW P.,SCHNABEL JULİA A.
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Electricity Price Forecasting Using Recurrent Neural Networks
ENERGIES, Vol. 11, No. 5, Mayıs 2018, ISSN: 1996-1073
UĞURLU UMUT,ÖKSÜZ İLKAY,TAŞ OKTAY
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Cardiac MR Motion Artefact Correction from K-space Using Deep Learning-Based Reconstruction
MACHINE LEARNING FOR MEDICAL IMAGE RECONSTRUCTION, MLMIR 2018, Vol. 11074, No. null, 16 Eylül 2018, s. 21-29
ÖKSÜZ İLKAY,CLOUGH JAMES R.,BUSTİN AURELİEN,CRUZ GASTAO,PRİETO CLAUDİA,BOTNAR RENE,RUECKERT DANİEL,SCHNABEL JULİA A.,KİNG ANDREW P.
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