Factors influencing EFL students’ motivation in online learning: A qualitative case study
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MEŞE ESRA, SEVİLEN YILMAZ ÇİĞDEM
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Transfer sea level learning in the Bosphorus Strait by wavelet based machine learning methods
OCEAN ENGINEERING, Vol. 233, Ağustos 2021, ISSN: 0029-8018
ALTUNKAYNAK ABDÜSSELAM, KARTAL ELİF
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A joint probability model for learning related neural activity and behavioral responses that accounts for learning and executive control an application of the Temporal Difference learning algorithm
2007 New England Statistics Symposium, U. of Connecticut, Storrs, CT, ABD., No. 1, 1 Mart 2007, s. 1
OKATAN MURAT
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Deep Learning-Aided Spatial Multiplexing with Index Modulation
3rd International Conference on Machine Learning for Networking (MLN’xx2020), 24 Kasım 2020
TURAN MERVE,ÖZTÜRK ERSİN,ÇIRPAN HAKAN ALİ
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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.
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E Learning Multiple Intelligences Theory MI And Learner Centred Instruction Adapting MI Learning Theoretical Principles To The Instruction Of Health And Safety To Construction Managers
Journal of College Teaching & Learning (TLC), Vol. 6, No. 2, Ocak 2011, ISSN: 2157-894X
MCNAMEE PAUL,MADDEN DAVE,MCNAMEE FRANK,WALL JOHN,HURT ALAN,CHARALAMBOS VRASİDAS,LUCİLE CHANQUOY,BACCİNO THİERRY,ACAR EMRAH,YAZICI ÖNEY ELA,JORDAN ANN
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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.
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Integrating Service Learning Projects into Civil Engineering Courses
International Journal for Service Learning in Engineering, 2007, ISSN: 1555-9033
ZHANG XİAOQİ,GARTNER NATHAN,GÜNEŞ OĞUZ,TİNG JOHN M
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Combining predictive base models using deep ensemble learning
JOURNAL OF INTELLIGENT AND FUZZY SYSTEMS, Vol. 39, No. 5, Ocak 2020, s. 6657-6668, ISSN: 1064-1246
ÖNER MAHİR, ÜSTÜNDAĞ ALP
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Collaborative Design of Learning Centers in an Active Learning Classroom With Students and Teachers
ArchNet-IJAR: International Journal of Architectural Research, 6 Aralık 2019 - 3 Ocak 2020
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Best Paper Award 'Machine Learning for Communications and Networking''
IEEE International Conference on Communications, 2024
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Learning: Alternative Designs for Universities- Honorable Mention
Non Architecture, Diğer, 2019
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A memory and meta learning based solution in graph continual learning
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2024
ALTAY ÜNAL
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Algorithmic Trading with Machine Learning
Mathematical Sciences, Xi'an Jiaotong University, 2019
JUAN DU
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Developing a decision-support system using machine learning and deep learning models for daily demand forecasting: A case study
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2023
RANA EZGİ KÖSE
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Codebook learning: Challenges and applications in image representation learning
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2024
GÜLÇİN BAYKAL CAN
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Students’ Learning Motivation with Virtual Learning Pedagogy during COVID-19 Pandemic in Saudi Arabia
Institute of Science and Technology, King Saud University, 2023
MESHAL ALMAZROEE
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A case study in time series classification using machine learning and deep learning
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2025
BARIŞ KÜÇÜK
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Incremental heuristic meta-learning using reinforcement learning
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2026
ONUR KARADELİ
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A unified deep learning framework for scalable learning and uncertainty quantification in interval Type-2 fuzzy logic systems
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2026
ATA KÖKLÜ
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