Prediction of Credit Card Default with Different Machine Learning Techniques
International Graduate Research Symposium – IGRS’22, 1 Haziran 2022
ATEŞ GÖKÇE, TOKMAKÇIOĞLU KAYA
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Comparative Analysis of Turkish and German Stock-Markets as a Hedge Product Against Inflation by Using Machine Learning Algorithms
Computational Economics, Aralık 2024, ISSN: 0927-7099
DİKMEN İBRAHİM,TOKMAKÇIOĞLU KAYA
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Motion Planning and Control with Randomized Payloads Using Deep Reinforcement Learning
2019 Third IEEE International Conference on Robotic Computing (IRC), 25 Şubat 2019
DEMİR ALİ,SEZER VOLKAN
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Machine Learning for Predicting Lead-Free Hybrid Double Perovskites
NanoTR 16, 5 Eylül 2022
KALPAR MERVE, TEKİN ADEM
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Analysis of facial emotion expression in eating occasions using deep learning
Multimedia Tools and Applications, Mart 2023, ISSN: 1380-7501
YILDIRIM ELİF, PATLAR AKBULUT FATMA, ÇATAL ÇAĞATAY
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Credit risk analysis using machine learning algorithms
2018 26th Signal Processing and Communications Applications Conference (SIU), 2 Mayıs 2018
KALAYCI SACİDE,KAMAŞAK MUSTAFA ERSEL,ARSLAN SEÇİL
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Machine learning analysis on critical structural factors of Al:ZnO (AZO) films
Elsevier BV, Vol. 336, Nisan 2023, ISSN: 0167-577X
YILDIRIM CUMHUR, BAYDOĞAN NİLGÜN
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Solar Energy Forecasting Using Machine Learning Models
INTERNATIONAL CONFERENCE ON ADVANCED MATERIALS SCIENCE & ENGINEERING AND HIGH TECH DEVICE APPLICATIONS (ICMATSE22), 27 Kasım 2022
ER ZUHAL, GENÇER YUSUF
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Machine learning based visibility estimation to ensure safer navigation in strait of Istanbul
Applied Ocean Research, Vol. 112, Temmuz 2021, ISSN: 0141-1187
UYANIK TAYFUN, KARATUĞ ÇAĞLAR, ARSLANOĞLU YASİN
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A data-driven approach for the prediction of coal seam gas content using machine learning techniques
Applied Energy, Vol. 347, Ekim 2023, ISSN: 0306-2619
AKDAŞ BUĞRA, FİŞNE ABDULLAH
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DeepEMPR: coffee leaf disease detection with deep learning and enhanced multivariance product representation
PeerJ Computer Science, Vol. 10, Kasım 2024, ISSN: 2376-5992
TOPAL AHMET,TUNGA BURCU,TIRKOLAEE ERFAN BABAEE
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Ship Fuel Consumption Prediction with Machine Learning
4th International Mediterranean Science and Engineering Congress (IMSEC2019), ANTALYA/TÜRKİYE, 24 Nisan 2019
UYANIK TAYFUN,ARSLANOĞLU YASİN,KALENDERLİ ÖZCAN
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Ship electrical power estimation with machine learning
9th International Conference on Advanced Technologies (ICAT’xx20), İstanbul/TÜRKİYE, 10 Ağustos 2020
UYANIK TAYFUN, KARATUĞ ÇAĞLAR, ARSLANOĞLU YASİN
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Learning Station Design Guide
İstanbul/TÜRKİYE, 2024, İTÜ Yayınevi
ACAR EMRAH,AHMETOLAN SEMRA,ÇALIMLI AKGÜN MERVE,GÖRGÜL EMİNE
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Feature selection by machine learning models to identify the public’s changing priorities during the COVID-19 pandemic
IOS Press, Vol. 14, Eylül 2022, ISSN: 1876-1364
MENGÜÇ KENAN, AYDIN NEZİR
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BRINGING BIOPHILIC DESIGN PATTERNS TO THE LEARNING ENVIRONMENT
8.th International Congress on Architecture and Design, İstanbul/TÜRKİYE, 26 Kasım 2022
KAYACAN MEŞKURE SENA, GARİP ERVİN
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Machine learning methods for predicting marine port accidents: a case study in container terminal
Ships and Offshore Structures, Ocak 2021, ISSN: 1744-5302
ATAK ÜSTÜN, ARSLANOĞLU YASİN
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Platform Urbanism: How do digital platforms read the city and intervene in urban space? Learning Station Design Guide
ISTANBUL/TÜRKİYE, 2024, s. 58-64, ITU Press
EREN FATİH
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Analysing the Effects of Weather Conditions on Container Terminal Operations Using Machine Learning
International Journal of Business Analytics (IJBAN), Ocak 2022, ISSN: 2334-4547
ATAK ÜSTÜN, KAYA TOLGA, ARSLANOĞLU YASİN
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Machine learning methods for predicting marine port accidents: a case study in container terminal
Ships and Offshore Structures, Ocak 2021, ISSN: 1744-5302","1754-212X
ATAK ÜSTÜN, ARSLANOĞLU YASİN
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