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Highlights of Challenge-Based Co-Learning Experiences in a Diverse Graduate-Level Setting: The HI-QUAKE Project Workshop
ITU Co-Learning Lab - "Crowdsourcing for Co-Creation of Knowledge with a Lifelong Learning Mindset", İstanbul/TÜRKİYE, 25 Eylül 2024, s. 6-8
AKÇAKAYA WAITE JR İMGE,AKÇAY KAVAKOĞLU AYŞEGÜL,ORUÇ ERTEKİN GÜLDEN DEMET,YÜCESOY EDA,AŞAR NERGİS
Eda Yücesoy Özet Bildiri Challenge-based learningAI-driven learning toolsDisaster managementHI-QUAKE projectEELISA European University
Highlights of Challenge-Based Co-Learning Experiences in a Diverse Graduate-Level Setting: The HI-QUAKE Project Workshop
ITU Co-Learning Lab - "Crowdsourcing for Co-Creation of Knowledge with a Lifelong Learning Mindset", İstanbul/TÜRKİYE, 25 Eylül 2024, s. 6-8
AKÇAKAYA WAITE JR İMGE,AKÇAY KAVAKOĞLU AYŞEGÜL,ORUÇ ERTEKİN GÜLDEN DEMET,YÜCESOY EDA,AŞAR NERGİS
Ayşegül Akçay Kavakoğlu Özet Bildiri Challenge-based learningAI-driven learning toolsDisaster managementHI-QUAKE projectEELISA European University
Insights from a Novel Graduate-Level Planning Studio Design: Research- and Experience-Based Learning
European Engineering Learning Innovation and Science Alliance (EELISA) Research-Based Learning Symposium, İstanbul/TÜRKİYE, 17 Mayıs 2022
AKÇAKAYA WAITE JR İMGE
İmge Akçakaya Waıte Jr Özet Bildiri Research-based learningExperiential learningGraduate educationPlanning studioIstanbul Technical University
Highlights of Challenge-Based Co-Learning Experiences in a Diverse Graduate-Level Setting: The HI-QUAKE Project Workshop
ITU Co-Learning Lab - "Crowdsourcing for Co-Creation of Knowledge with a Lifelong Learning Mindset", İstanbul/TÜRKİYE, 25 Eylül 2024, s. 6-8
AKÇAKAYA WAITE JR İMGE,AKÇAY KAVAKOĞLU AYŞEGÜL,ORUÇ ERTEKİN GÜLDEN DEMET,YÜCESOY EDA,AŞAR NERGİS
İmge Akçakaya Waıte Jr Özet Bildiri Challenge-based learningAI-driven learning toolsDisaster managementHI-QUAKE projectEELISA European University
Music Education Learning Tchniques Over Wrong
International Academic Conference on Teaching, Learning and E-learning in Budapest, Budapeşte/MACARİSTAN, 8 Temmuz 2016
ÖNERTÜRK CEM
Cem Önertürk Özet Bildiri
Data efficient offline reinforcement learning & reinforcement learning with imitation learning applications to autonomous driving and robotics
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2023
FEYZA NUR EKSEN
Nazım Kemal Üre Tez Yüksek Lisans Tamamlandı
Using Co-Training to Empower Active Learning
2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), No. null, 15 Mayıs 2017
AZAD PAYAM VAKIL ZADEH,YASLAN YUSUF
Yusuf Yaslan Tam metin bildiri Active Learningco-trainingmachine learningsemi-supervised learning
Stacking-based ensemble learning for remaining useful life estimation
SOFT COMPUTING, Vol. 28, No. 2, Ocak 2024, s. 1337-1349, ISSN: 1432-7643
AY TÜRE BEGÜM,AKBULUT AKHAN,ZAİM ABDÜL HALİM,ÇATAL ÇAĞATAY
Abdül Halim Zaim Özgün Makale Deep learning; Ensemble learning; Remaining useful life; Stacking ensemble learning
Factors influencing EFL students’ motivation in online learning: A qualitative case study
Journal of Educational Technology and Online Learning, Ocak 2021, ISSN: 2618-6586
MEŞE ESRA, SEVİLEN YILMAZ ÇİĞDEM
Esra Meşe Özgün Makale
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.
İlkay Öksüz Özgün Makale Image segmentationMotion segmentationBiomedical imagingImage reconstructionDeep learningTask analysisImage qualityImage qualityimage segmentationdeep learningcardiac MRIimage artefactsCONVOLUTIONAL NEURAL-NETWORKSIMAGE
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.
İlkay Öksüz Tam metin bildiri Cardiac MRImage reconstructionDeep learningUK BiobankImage artefactsImage qualityAutomapCONVOLUTIONAL NEURAL-NETWORKSINVERSE PROBLEMS
Explainable Artificial Intelligence for Machine Learning-Based Photogrammetric Point Cloud Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 17, Ocak 2024, ISSN: 1939-1404
ATİK MUHAMMED ENES,DURAN ZAİDE,ŞEKER DURSUN ZAFER
Zaide Duran Özgün Makale Point cloud compression Three-dimensional displays Feature extraction Deep learning Buildings Solid modeling Explainable AI Classification explainable artificial intelligence (XAI) feature selection machine learning photogrammetry point cloud
Explainable Artificial Intelligence for Machine Learning-Based Photogrammetric Point Cloud Classification
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, Vol. 17, Şubat 2024, s. 13, ISSN: 1939-1404
ATİK MUHAMMED ENES,DURAN ZAİDE,ŞEKER DURSUN ZAFER
Muhammed Enes Atik Özgün Makale Point cloud compression Three-dimensional displays Feature extraction Deep learning Buildings Solid modeling Explainable AI Classification explainable artificial intelligence (XAI) feature selection machine learning photogrammetry point cloud
Advanced Mobility Robustness Optimization Models in Future Mobile Networks Based on Machine Learning Solutions
Institute of Electrical and Electronics Engineers (IEEE), Vol. 10, Ocak 2022, s. 19, ISSN: 2169-3536
SHAYEA IBRAHEEM ABDULLAH MOHAMMED
Ibraheem Abdullah Mohammed Shayea Özgün Makale Optimization 5G mobile communication Heuristic algorithms Handover Robustness Cellular networks Q-learning Machine learning Heterogeneous networks handover self-optimization mobility robustness optimization handover margin time-to-trigger heterogeneous networks 5G network
AirWave: Enhancing UAV Connectivity in Cellular Networks through an Integrated Simulation Framework
2024 IEEE International Conference on Big Data & Machine Learning (ICBDML), Bhopal/HİNDİSTAN, 24 Şubat 2024, s. 295-302
ZOR EMİRHAN,TASKİRAN YUSUF,DAEL FARES ABDULHAFIDH DERHEM,SHAYEA IBRAHEEM ABDULLAH MOHAMMED,RZAYEVA LEİLA,SYZDYKOVA ZULEİKHA
Ibraheem Abdullah Mohammed Shayea Tam metin bildiri UAV communications 5G and beyond Handover management Reinforcement learning machine learning
Factors influencing EFL students’ motivation in online learning: A qualitative case study
Journal of Educational Technology and Online Learning, Ocak 2021, ISSN: 2618-6586
MEŞE ESRA, SEVİLEN YILMAZ ÇİĞDEM
Çiğdem Sevilen Yılmaz Özgün Makale
Music Genre Classification and Recommendation by Using Machine Learning Techniques
2018 Innovations in Intelligent Systems and Applications Conference (ASYU), Adana/TÜRKİYE, 4 Ekim 2018
ELBİR AHMET,ÇAM HİLMİ BİLAL,İYİCAN MEHMET EMRE,ÖZTÜRK BERKAY,AYDIN NİZAMETTİN
Nizamettin Aydın Tam metin bildiri Music genre ClassificationMachine LearningDeep LearningAcoustic features
Variational Bayes Learning from Relevant Tasks Only
NIPS 2008 Learning from Multiple Sources Workshop, 13 Aralık 2008
PELTONEN JAAKKO,YASLAN YUSUF,KASKİ SAMUEL
Yusuf Yaslan Tam metin bildiri
Audio Genre Classification with Semi-Supervised Feature Ensemble Learning
2nd International Workshop on Machine Learning and Music MML 2009, 7 Eylül 2009
YASLAN YUSUF,ÇATALTEPE ZEHRA
Yusuf Yaslan Tam metin bildiri
Reinforcement learning-based demand-side management by smart charging of electric vehicles
ELECTRICAL ENGINEERING, Vol. 104, No. 6, Aralık 2022, s. 3933-3942, ISSN: 0948-7921
OZCELİK MELİK BUGRA, KESİCİ MERT, AKSOY NECATİ, GENÇ VEYSEL MURAT İSTEMİHAN
Veysel Murat İstemihan Genç Özgün Makale Electric vehicles Smart charging Demand-side management Markov decision process Reinforcement learning Q-learning Expected SARSA

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