Fully supervised and semi-supervised semantic segmentation of cardiac mr using deep learning
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2021
MAHYAR BOLHASSANI
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Exploring the Potential of Deep Learning Using Earth Observation Data for Cotton Yield Estimation
Lisansüstü Eğitim Enstitüsü, Gebze Teknik Üniversitesi, 2025
ALPER BALMUMCU
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Deep learning-based keypoints driven visual inertial odometry for GNSS-denied flight
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2023
ARSLAN ARTYKOV
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Ensemble and deep learning on astronomical data with different modalities
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2023
FATMA KUZEY EDEŞ HUYAL
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Missile evasion maneuver generation with model-free deep reinforcement learning
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2024
MUHAMMED MURAT ÖZBEK
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Identification of tea plantation areas using Google cloud based random forest and deep learning
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2020
BERKAY ÖZEN
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Transfer learning based super resolution of aerial images and the effects of the super resolution on object detection
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2023
ASLAN AHMET HAYKIR
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Classification of knee osteoarthritis severity using deep learning with fully supervised and semi-supervised-based approaches
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2024
İLKNUR AKTEMUR
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Developing a protective - preventive and machine learning based model on child abuse
Fen Bilimleri Enstitüsü, İstanbul Ticaret Üniversitesi, 2021
FATİH MERT
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A Machine Learning Approach for Locating
Businesses Along Main Arteries in Inner
Cities
IEREK Conference, 3 Aralık 2021
SARI ELÇİN,BASU PRİTHWİSH,AS İMDAT
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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
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Using Deep Learning to Generate Front and Backyards in Landscape Architecture
10th ASCAAD Conference - Hybrid Space of the Metaverse: Architecture in the Age of the Metaverse, Opportunities and Potentials, Beirut/LÜBNAN, 12 Ekim 2022, s. 2-16, ISSN: 2079-4096
SENEM MEHMET O., KOÇ MUSTAFA, AS İMDAT
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Artificial intelligence in architecture: Generating conceptual design via deep learning
International Journal of Architectural Computing, Vol. 16, No. 4, Kasım 2018, s. 306-327, ISSN: 1478-0771
AS İMDAT, BASU PRİTHWİSH, PAL SİDDARTH
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Comment on Social Learning Theory of Bandura: Gender Roles of the Romani Dance in Sulukule
26th Symposium of the ICTM Study Group on Ethnochoreology, 19 Temmuz 2010
İNCEDERE ZEYNEP GONCA
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Neuro-fuzzy iterative learning control for 4-poster test rig
Transactions of the Institute of Measurement and Control, Vol. 42, No. 12, Ağustos 2020, s. 2262-2275, ISSN: 0142-3312
DURSUN UFUK, CANSEVER GALİP, ÜSTOĞLU İLKER
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Brain Inspired Cortical Coding Method for Fast Clustering and Codebook Generation
Entropy, Vol. 24, No. 11, Kasım 2022, ISSN: 1099-4300
YÜCEL MERİÇ, BAGİS SERDAR, SERTBAŞ AHMET, ÜSTÜNDAĞ BURAK BERK
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Unsupervised Learning Approach for Detection and Localization of Structural Damage using Output-only Measurements
Academic Platform Journal of Engineering and Smart Systems, Vol. 10, No. 3, Ağustos 2022, s. 149-156, ISSN: 2822-2385
GÜNEŞ BURCU
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One-class machine learning approach for localized damage detection
JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING, Vol. 12, Temmuz 2022, s. 1115-1131, ISSN: 2190-5452 / 2190-5479
GÜNEŞ BURCU
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Localizing structural damage based on auto-regressive with exogenous input model parameters and residuals using a support vector machine based learning approach
Frontiers of Structural and Civil Engineering, Vol. 18, No. 10, Ekim 2024, s. 1492-1506, ISSN: 2095-2430
GÜNEŞ BURCU
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A Machine Learning Approach Utilizing Different Features for Structural Damage Detection
14th International Congress on Advances in Civil Engineering, ACE 2020-21, İstanbul/TÜRKİYE, 6 Eylül 2021
GÜNEŞ BURCU, OK EFKAN
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