Stacking-based ensemble learning for remaining useful life estimation
soft computing, Vol. 204, No. 1, Mayıs 2021, s. 60-71, ISSN: 14327643
ZAİM ABDÜL HALİM, AKBULUT AKHAN, ÇATAL ÇAĞATAY, AY TÜRE BEGÜM
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Deep Learning Approaches for Phantom Movement Recognition
TIPTEKNO’19 - Tıp Teknolojileri Ulusal Kongresi, AYDIN/TÜRKİYE, 3 Ekim 2019
AKBULUT AKHAN,AŞÇI GÜVEN,GÜNGÖR FERAY,TARAKCI ELA,AYDIN MUHAMMED ALİ,ZAİM ABDÜL HALİM
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Deep Learning Approaches for Predictive Masquerade Detection
Security and Communication Networks, Vol. 2018, Ağustos 2018, s. 1-24, ISSN: 1939-0114
ELMASRY WİSAM,AKBULUT AKHAN,ZAİM ABDÜL HALİM
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Evolving deep learning architectures for network intrusion detection using a double PSO metaheuristic
Computer Networks, Vol. 168, Şubat 2020, s. 107042, ISSN: 1389-1286
ELMASRY WİSAM,AKBULUT AKHAN,ZAİM ABDÜL HALİM
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A Design Of An Integrated Cloud-based Intrusion Detection System With Third Party Cloud Service
OPEN COMPUTER SCIENCE, Vol. 11, No. 1, Haziran 2021, s. 365-379, ISSN: 2299-1093
ZAİM ABDÜL HALİM, AKBULUT AKHAN, AYDIN MUHAMMED ALİ
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Detection DDOS Attacks Using Machine Learning Methods
ELECTRICA, Vol. 20, No. 2, Temmuz 2020, s. 159-167, ISSN: 1389-1286
ZAİM ABDÜL HALİM, AYDIN MUHAMMED ALİ, AYTAÇ TUĞBA
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Identification of phantom movements with an ensemble learning approach
Computers in Biology and Medicine, Vol. 150, No. 1, Kasım 2022, s. 1-11, ISSN: 106132
ZAİM ABDÜL HALİM, AKBULUT AKHAN, GÜNGÖR FERAY, TARAKCI ELA, AYDIN MUHAMMED ALİ, ÇATAL ÇAĞATAY
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Cyberbullying detection through deep learning: A case study of Turkish celebrities on Twitter
Web Intelligence, Vol. 21, No. 1, Mayıs 2023, s. 61-70, ISSN: 2405-6456
KARADAĞ BULUT, AKBULUT AKHAN, ZAİM ABDÜL HALİM
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Stacking-based ensemble learning for remaining useful life estimation
Soft Computing, Vol. 1, No. 13, Ocak 2023, s. 1-15, ISSN: 1433-7479.
AY TÜRE BEGÜM, AKBULUT AKHAN, ZAİM ABDÜL HALİM
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Book Review: Waves of change: Globalisation and seafaring labour markets
Management Learning, Vol. 49, No. 1, Ocak 2017, s. 112-115, ISSN: 1350-5076
TUNÇALP DENİZ
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Analysis of the Primary Factors Affecting the Most Fatal Aviation Accidents: A Machine Learning Approach
International Conferences on Science and Technology Engineering Sciences and Technology, 8 Eylül 2021, s. 8
İNAN TÜZÜN TOLGA, BÜKEÇ CENGİZ MESUT, GÖKMEN NESLİHAN, TAVACIOĞLU LEYLA
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Comparison of machine learning methods for prediction of osteoradionecrosis incidence in patients with head and neck cancer
The British Journal of Radiology, Vol. 94, Ocak 2021, ISSN: 0007-1285
HUMBERT-VİDAN LAİA, PATEL VİNOD, ÖKSÜZ İLKAY, KİNG ANDREW P., RBANO TERESA GUERRERO U
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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, Eylül 2021, ISSN: 1939-3539
CLOUGH JAMES R., BYRNE NİCHOLAS, ÖKSÜZ İLKAY, ZİMMER VERONİKA A., SCHNABEL JULİA A., KİNG ANDREW P.
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Deep learning for rectal spacer stratification in prostate boost radiotherapy
ESTRO 2020 European Society for Therapeutic Radiology and Oncology Meeting, Viyana/AVUSTURYA, 28 Kasım 2020
THOMAS CHRİSTOPHER, DREGELY ISABEL, ÖKSÜZ İLKAY, RBANO TERESA GUERRERO U, GREENER ANTONY, KİNG ANDREW P., BARRİNGTON SALLY
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Unsupervised Myocardial Segmentation for Cardiac MRI
MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION MICCAI 2015, Münih/ALMANYA, Vol. 9351, No. null, 5 Ekim 2015, s. 12-20
MUKHOPADHYAY ANİRBAN,ÖKSÜZ İLKAY,MARCO BEVİLACQUA,DHARMAKUMAR ROHAN,TSAFTARİS SOTİRİOS A.
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Fully Automated, Quality-Controlled Cardiac Analysis From CMR Validation and Large-Scale Application to Characterize Cardiac Function
JACC-CARDIOVASCULAR IMAGING, Vol. 13, No. 3, Mart 2020, s. 684-695, ISSN: 1936-878X
RUİJSİNK BRAM,PUYOL-ANTON ESTHER,ÖKSÜZ İLKAY,SİNCLAİR MATTHEW,BAİ WENJİA,SCHNABEL JULİA A.,RAZAVİ REZA,KİNG ANDREW P.
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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.
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Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning
MEDICAL IMAGE ANALYSIS, Vol. 55, No. null, Temmuz 2019, s. 136-147, ISSN: 1361-8415
ÖKSÜZ İLKAY,RUİJSİNK BRAM,PUYOL-ANTON ESTHER,CLOUGH JAMES R.,CRUZ GASTAO,BUSTİN AURELİEN,PRİETO CLAUDİA,BOTNAR RENE,RUECKERT DANİEL,SCHNABEL JULİA A.,KİNG ANDREW P.
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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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Paddy Rice Phenology Classification Based on Machine Learning Methods Using Multitemporal Co Polar X Band SAR Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 9, No. 6, Haziran 2016, s. 2509-2519, ISSN: 1939-1404
KÜÇÜK ÇAĞLAR,TAŞKIN KAYA GÜLŞEN,ERTEN ESRA
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