Transfer precipitation learning via patterns of dependency matrix-based machine learning approaches
NEURAL COMPUTING & APPLICATIONS, Vol. 34, No. 24, Ocak 2022, ISSN: 0941-0643
ALTUNKAYNAK ABDÜSSELAM, KÜLLAHCI KÜBRA
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Quantifying ship-borne emissions in Istanbul Strait with bottom-up and machine-learning approaches
Ocean Engineering, Vol. 258, Ağustos 2022, ISSN: 0029-8018
AY CENK, SEYHAN ALPER, BAL BEŞİKÇİ ELİF
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Serious games in future skills development: A systematic review of the design approaches
COMPUTER APPLICATIONS IN ENGINEERING EDUCATION, Vol. 30, No. 5, Ocak 2022, s. 22, ISSN: 1061-3773
GÜRBÜZ SÜLEYMAN CİHAN, ÇELİK METİN
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Machine Learning Based Approaches for Short Term Sales Forecasting in E-Commerce
The 22th International Symposium for Production Research (ISPR2022), 6 Ekim 2022, ISSN: 2195-4356
ALTUNCU MEHMET ARDIL, TAŞTAN MUHAMMED HAMZA, ÖZCAN TUNCAY
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Salesperson Churn Prediction with Machine Learning Approaches in the Retail Industry
The 22th International Symposium for Production Research (ISPR2022), 6 Ekim 2022, ISSN: 2195-4356
CÖMERT GİZEM, ÖZCAN TUNCAY, KAYA TOLGA
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Emotion Recognition via Multi Channel EEG Signal Fusion and Pattern Recognition
Eusipco 2017 Multi-Learn 2017: Multimodal processing, modeling and learning approaches for human-computer/robot interaction Workshop, 2 Eylül 2017
AYATA DEĞER,YASLAN YUSUF,KAMAŞAK MUSTAFA ERSEL
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A comparison study on active learning integrated ensemble approaches in sentiment analysis
Computers and Electrical Engineering, Vol. 57, Ocak 2017, s. 311-323, ISSN: 00457906
ALDOĞAN DENİZ,YASLAN YUSUF
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Machine learning approaches to quantitatively predict selectivity of compounds against HDAC1 and HDAC6 isoforms
8th International Bau Drug Design Congress: Novel Methods and Emerging Targets in Drug Discovery and Patented Drug Development, İstanbul/TÜRKİYE, 15 Aralık 2022
DOĞAN BERNA
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Predicting Selectivity of Compounds Against HDAC Isoforms Quantitatively Using Deep Learning Approaches
12th Visegrad Symposium on Biomolecular Interactions, Piestany/SLOVAKYA, 23 Haziran 2024
ÇORBACI TOLGA,DOĞAN BERNA,DURDAĞI SERDAR
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Learning from Waterfront Regeneration Projects and Contemporary Design Approaches of European Port Cities
17th International Planning History Society Conference, Delft/HOLLANDA, No. 3, 17 Temmuz 2016, s. 151-162, ISSN: 2468-6948
TANIŞ FATMA,ERKÖK FATMA
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Comparative study of evolutionary machine learning approaches to simulate the rheological characteristics of polybutylene succinate (PBS) utilized for fused deposition modeling (FDM)
Polymer Bulletin, Vol. 81, Aralık 2024, s. 8663-8683, ISSN: 0170-0839
TAYLAN OSMAN,ABDULLAH TURDİMUHAMMAD,BAİK SHEFAA,YILMAZ MUSTAFA TAHSİN,ALİDRİSİ HASSAN M.,QURBAN RAYYAN O.,MELAİBARİ AMMAR ABDULGHANİ,MEMİĆ ADNAN
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Machine Learning Approaches to Predict the Selectivity of Compounds against HDAC1 and HDAC6
JOURNAL OF COMPUTATIONAL BIOPHYSICS AND CHEMISTRY, Vol. 23, No. 6, Haziran 2024, s. 837-850, ISSN: 2737-4165
DOĞAN BERNA
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Automated Classification of Snow-Covered Solar Panel Surfaces Based on Deep Learning Approaches
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES, Vol. 136, No. 3, Ocak 2023, s. 2291-2319, ISSN: 1526-1506
AL-DULAIMI AHMED HAMEED ABOOD, GÜNEŞER MUHAMMET TAHİR, HAMEED ALAA ALI, SHUKRI SALMAN MOHAMMED
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Deep Learning Approaches for Phantom Movement Recognition
2019 Medical Technologies Congress (TIPTEKNO), 3 Ekim 2019
AKBULUT AKHAN,AŞCI GÜVEN,GÜNGÖR FERAY,TARAKCI ELA,AYDIN MUHAMMED ALİ,ZAİM ABDÜL HALİM
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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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Forest Biophysical Parameter Estimation via Machine Learning and Neural Network Approaches
2023 IEEE International Geoscience and Remote Sensing Symposium, Pasedana/AMERİKA BİRLEŞİK DEVLETLERİ, 16 Temmuz 2023
AKSOY SAMET, ZUHTER HASAN AL SHWAYYAT SHOUQ, TOPGÜL ŞULE NUR, SERTEL ELİF, ÜNSALAN CEM, SOLO JARI, HOLMSTRÖM ANTON, WALLERMAN JÖRGEN, NİLSSON MATS, FRANSSON JOHAN
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Conceptualizing initial framework of an advanced maritime research to conduct ship performance monitoring via statistical learning approaches
15th International Logistics and Supply Chain Congress, 19 Ekim 2017
SÖNER ÖMER,ÇELİK METİN
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Multi-Label Classification Application for Environmental Monitoring Applications with Deep Learning Approaches
20th International Symposium on Environmental Pollution and its Impact on Life in the Mediterranean Region, Atina/YUNANİSTAN, 26 Ekim 2020
ATİK ŞAZİYE ÖZGE,İPBÜKER CENGİZHAN
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Automated building extraction from very high-resolution remote sensing data with deep learning approaches
4th Intercontinental Geoinformation Days, TABRİZ/İRAN, 20 Haziran 2022, s. 127-130
DAĞDELEN VOLKAN, ALGANCI UĞUR, SERTEL ELİF
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