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Toplam 386 adet sonuçtan 20 tanesi görüntülenmektedir.

Fine-tuning Monocular Depth-Estimator Artificial Neural Networks Trained on Synthetic RGB-D Data Sets for Real Scenes

2020 7th International Conference on Control, Decision and Information Technologies (CoDIT), Prague/ÇEK CUMHURİYETİ, 29 Haziran 2020

ROGHANİ ERFAN, KOYUNCU EMRE

Emre Koyuncu Tam metin bildiri

Electricity Price Forecasting Using Recurrent Neural Networks

ENERGIES, Vol. 11, No. 5, Mayıs 2018, ISSN: 1996-1073

UĞURLU UMUT,ÖKSÜZ İLKAY,TAŞ OKTAY

İlkay Öksüz Özgün Makale electricity price forecastingdeep learninggated recurrent unitslong short term memoryartificial intelligenceturkish day-ahead marketREGIME-SWITCHING MODELSTIME-SERIESMARKETARIMALOADS

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

İlkay Öksüz Özgün Makale Dictionaries Computer architecture Image reconstruction Convolutional neural networks Convolution Testing Principal component analysis Channel attention deep learning MR fingerprinting reconstruction

Transfer learning for electricity price forecasting

SUSTAINABLE ENERGY GRIDS & NETWORKS, Vol. 34, Ocak 2023, s. 13, ISSN: 2352-4677

GÜNDÜZ SALİH, UĞURLU UMUT, ÖKSÜZ İLKAY

İlkay Öksüz Özgün Makale Electricity price forecasting Transfer learning Market integration Artificial neural networks

Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection

MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2018, Vol. 11070, No. null, 16 Eylül 2018, s. 250-258

ÖKSÜZ İLKAY,RUİJSİNK BRAM,PUYOL-ANTON ESTHER,BUSTİN AURELİEN,CRUZ GASTAO,PRİETO CLAUDİA,RUECKERT DANİEL,SCHNABEL JULİA A.,KİNG ANDREW P.

İlkay Öksüz Tam metin bildiri Cardiac MRImage quality assessmentMotion artefactsUK BiobankConvolutional Neural Networks

Discussion of Generalized regression neural networks for evapotranspiration modelling

Hydrological Sciences Journal, Vol. 52, No. 4, Ağustos 2007, s. 825-831, ISSN: 0262-6667

AKSOY HAFZÜLLAH,GÜVEN AYTAÇ,AYTEK ALİ,YÜCE MEHMET İSHAK,ÜNAL NECATİ ERDEM

Necati Erdem Ünal Özgün Makale

A comparative study for obtaining effective Leaf Area Index from single Terrestrial Laser Scans by removal of wood material

MEASUREMENT, Vol. 178, Ocak 2021, ISSN: 0263-2241

ARSLAN ADİL ENİS, ERTEN ESRA, İNAN MUHİTTİN

Esra Erten Özgün Makale LeaF Area Index TerreStrial Laser Scanning Biomass Neural networks

AUTOMATIC LEFT VENTRICULAR OUTFLOW TRACT CLASSIFICATION FOR ACCURATE CARDIAC MR PLANNING

2018 IEEE 15TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2018), No. null, 4 Nisan 2018, s. 462-465

ÖKSÜZ İLKAY,RUİJSİNK BRAM,PUYOL-ANTON ESTHER,SİNCLAİR MATTHEW,RUECKERT DANİEL,SCHNABEL JULİA A.,KİNG ANDREW P.

İlkay Öksüz Tam metin bildiri Cardiac MRImage Quality AssessmentUK BiobankLVOTConvolutional Neural Networks

Left-Ventricle Quantification Using Residual U-Net

International Workshop on Statistical Atlases and Computational Models of the Heart (STACOM) 2018, Vol. 11395, 16 Eylül 2018, s. 371, ISSN: 16113349 03029743

KERFOOT ERİC,CLOUGH JAMES R.,ÖKSÜZ İLKAY,LEE JACK,KİNG ANDREW P.,SCHNABEL JULİA A.

İlkay Öksüz Tam metin bildiri Convolutional neural networksCardiac quantificationCardiac MR

Detection and correction of cardiac MRI motion artefacts during reconstruction from k-space

MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2019, Vol. 11767, 13 Ekim 2019, s. 695, ISSN: 16113349 03029743

ÖKSÜZ İLKAY,CLOUGH JAMES R.,RUİJSİNK BRAM,PUYOL-ANTON ESTHER,BUSTİN AURELİEN,CRUZ GASTAO,PRİETO CLAUDİA,RUECKERT DANİEL,KİNG ANDREW P.,SCHNABEL JULİA A.

İlkay Öksüz Tam metin bildiri UK BiobankMotion artefactsImage reconstructionConvolutional neural networksCardiac MR

Brain MRI artefact detection and correction using convolutional neural networks

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, Vol. 199, Şubat 2021, s. 105909, ISSN: 0169-2607

ÖKSÜZ İLKAY

İlkay Öksüz Özgün Makale

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.

İlkay Öksüz Tam metin bildiri Cardiac MRImage reconstructionDeep learningUK BiobankImage artefactsImage qualityAutomapCONVOLUTIONAL NEURAL-NETWORKSINVERSE PROBLEMS

The Financial Effect of the Electricity Price Forecasts’ Inaccuracy on a Hydro-Based Generation Company

ENERGIES, Vol. 11, No. 8, Ağustos 2018, ISSN: 1996-1073

UĞURLU UMUT,KAYA AYCAN,TAŞ OKTAY,ÖKSÜZ İLKAY

İlkay Öksüz Özgün Makale profit losselectricity price forecastingmixed integer linear programmingself-schedulinghydro-based generation companyARTIFICIAL NEURAL-NETWORKSUNIT COMMITMENTSPOT PRICESMARKETACCURACYMODELSPREDICTIONTURKEYARIMA

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.

İlkay Öksüz Özgün Makale Image segmentationMotion segmentationBiomedical imagingImage reconstructionDeep learningTask analysisImage qualityImage qualityimage segmentationdeep learningcardiac MRIimage artefactsCONVOLUTIONAL NEURAL-NETWORKSIMAGE

A convolutional neural networks oriented approach for voxel-based 3D object classification

2018 26th Signal Processing and Communications Applications Conference (SIU), Izmir, Turkey/TÜRKİYE, 2 Mayıs 2018

SIRMA RIDVAN,DİNAR BERKAN,ŞAHİN YUSUF HÜSEYİN,ÜNAL GÖZDE

Yusuf Hüseyin Şahin Tam metin bildiri

Application of neural networks in talent management

Electrical Information and Communication Technology (EICT), 2013 International Conference on, 13 Şubat 2014, s. 1-4

ZAİM ABDÜL HALİM

Abdül Halim Zaim Tam metin bildiri talent management

Determining of Credit Card Frauds: A Comparison of Artificial Neural Networks and Logistic Regression

37th International Conference on Computer and Industrial Engineering, İskenderiye/MISIR, 20 Ekim 2007, s. 44-50

KILINÇ MEHMET SERDAR,IŞIKLI ERKAN

Erkan Işıklı Tam metin bildiri

Composing Frankensteins: Data-driven design assemblies through graph-based deep neural networks

107th ACSA Conference, Pittsburgh/AMERİKA BİRLEŞİK DEVLETLERİ, 28 Mart 2019

AS İMDAT, PAL SİDDARTH, BASU PRİTHWİSH

İmdat As Tam metin bildiri crowdsourcingartificial intelligencedeep learning

Spatio-Temporal Missing Data Reconstruction by Using Deep Neural Networks in Agricultural Monitoring Systems

2023 11th International Conference on Agro-Geoinformatics (Agro-Geoinformatics), 25 Temmuz 2023

ŞENTOP MEHMET SELAHADDİN,YÜCEL MERİÇ,ÜSTÜNDAĞ BURAK BERK

Meriç Yücel Tam metin bildiri

Spatio-Temporal Missing Data Reconstruction by Using Deep Neural Networks in Agricultural Monitoring Systems

2023 11th International Conference on Agro-Geoinformatics (Agro-Geoinformatics), Wuhan/ÇİN HALK CUMHURİYETİ, 25 Temmuz 2023

ŞENTOP MEHMET SELAHADDİN, YÜCEL MERİÇ, ÜSTÜNDAĞ BURAK BERK

Meriç Yücel Tam metin bildiri

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