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Diagnosis of Diabetes Mellitus Using Statistical Methods and Machine Learning Algorithms
4th International Management Information Systems Conference 2017, 17 Ekim 2017, s. 199-199
PEKEL EBRU,ÖZCAN TUNCAY
Tuncay Özcan Özet Bildiri
A novel method for SOC estimation of Li-ion batteries using a hybrid machine learning technique
TURKISH JOURNAL OF ELECTRICAL ENGINEERING COMPUTER SCIENCES, Vol. 29, Ocak 2021, s. 18-31, ISSN: 1303-6203
İPEK EYMEN,YILMAZ MURAT
Murat Yılmaz Özgün Makale
Predicting the Predisposition to Colorectal Cancer based on SNP Profiles of Immune Checkpoints using Supervised Learning Models
VII. International Congress of Molecular Medicine, İstanbul/TÜRKİYE, 5 Eylül 2019
ÇAKMAK ALİ,İBRAHİMZADA ALİ REZA,ARIKAN SOYKAN,AYAZ HÜZEYFE,DEMİRKOL ŞEYDA,SÖNMEZ DİLARA,HAKAN MEHMET TOLGAHAN,TURAN SÜRMEN SAİME,HOROZOĞLU CEM,KÜÇÜKHÜSEYİN ÖZLEM,KIRAN BAYRAM,ZEYBEK ŞAKİR ÜMİT,BAYSAN MEHMET,YAYLIM İLHAN
Mehmet Baysan Özet Bildiri
Probabilistic dynamic security assessment of large power systems using machine learning algorithms
Turkish Journal of Electrical Engineering and Computer Sciences, Vol. 26, No. 3, Mayıs 2018, s. 1479-1490, ISSN: 1300-0632
JAFARZADEH SEVDA,GENÇ VEYSEL MURAT İSTEMİHAN
Signature recognition application based on deep learning
25th Signal Processing and Communications Applications Conference (SIU), 15 Mayıs 2017
ÇALIK NURULLAH,KURBAN ONUR CAN,YILMAZ ALİ RIZA,DURAK ATA LÜTFİYE,YILDIRIM TÜLAY
Lütfiye Durak Ata Tam metin bildiri
Prediction of Adhesion Strength Using Extreme Learning Machine and Support Vector Regression Optimized with Genetic Algorithm
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, Vol. 45, No. 8, Ağustos 2020, s. 6985-7004, ISSN: 2193-567X
HAZIR ENDER,ÖZCAN TUNCAY,KOÇ KÜÇÜK HÜSEYİN
Tuncay Özcan Özgün Makale
Robostar: An interaction game with humanoid robots for learning sign language
IEEE International Conference on Robotics and Biomimetics (ROBIO), 11 Aralık 2015
ÖZKUL AHMET,RABİA YORGANCİ,KÖSE HATİCE,İNCE GÖKHAN
Hatice Köse Tam metin bildiri
Paddy Rice Phenology Classification Based on Machine Learning Methods Using Multitemporal Co Polar X Band SAR Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 9, No. 6, Haziran 2016, s. 2509-2519, ISSN: 1939-1404
KÜÇÜK ÇAĞLAR,TAŞKIN KAYA GÜLŞEN,ERTEN ESRA
Gülşen Taşkın Kaya Özgün Makale
Q Learning based Market Driven Multi Agent Collaboration in Robot Soccer
TAINN 2004, 10 Haziran 2004, s. 219-228
KÖSE HATİCE,TATLIDEDE UTKU,MERİÇLİ ÇETİN,KAPLAN KEMAL,AKIN HÜSEYİN LEVENT
Hatice Köse Tam metin bildiri
DeepMQ: A Deep Learning Approach Based Myelin Quantification in Microscopic Fluorescence Images
European Signal Processing Conference (EUSIPCO), 3 Eylül 2018
ÇİMEN YETİŞ SİBEL, ÇAPAR ABDULKERİM, EKİNCİ DURSUN ALİ, AYTEN UMUT ENGİN, KERMAN BİLAL ERSEN, TÖREYİN BEHÇET UĞUR
Behçet Uğur Töreyin Tam metin bildiri
DIAGNOSIS OF DIABETES MELLITUS USING STATISTICAL METHODS AND MACHINE LEARNING ALGORITHMS
Sigma Journal of Engineering and Natural Sciences, Vol. 36, No. 4, Aralık 2018, s. 1265-1282, ISSN: 1304-7191
PEKEL EBRU,ÖZCAN TUNCAY
Tuncay Özcan Derleme Makale
Total Quality Management through Defect Detection in Manufacturing Processes Using Machine Learning Algorithms
International Symposium for Production Research 2019, ISPR’2019, Viyana Avusturya, 28 Ağustos 2019
KAHYA ALMİRA SELİN,ŞİŞMANOĞLU SELİN,ERÇİN ZEYNEP,CAMGÖZ AKDAĞ HATİCE
Hatice Camgöz Akdağ Tam metin bildiri
A deep learning based approach for classification of CerbB2 tumor cells in breast cancer
2017 25th Signal Processing and Communications Applications Conference (SIU), 15 Mayıs 2017
TATAROĞLU GÖZDE, GENÇ ANIL, KABAKÇI KAAN, ÇAPAR ABDULKERİM, TÖREYİN BEHÇET UĞUR, EKENEL HAZIM KEMAL, TÜRKMEN İLKNUR, ÇAKIR ASLI
Behçet Uğur Töreyin Tam metin bildiri
Cell Segmentation of 2D Phase-Contrast Microscopy Images with Deep Learning Method
2019 Medical Technologies Congress (TIPTEKNO), Izmir, Turkey/TÜRKİYE, 3 Ekim 2019
AYANZADEH AYDIN,YAĞAR HÜSEYİN ONUR,ÖZUYSAL ÖZDEN YALÇIN,OKVUR DEVRİM PESEN,TÖREYİN BEHÇET UĞUR,ÜNAY DEVRİM,ÖNAL SEVGİ
Behçet Uğur Töreyin Tam metin bildiri
A Deep Learning Approach to Fault Detection and Classification in Datacenters
6. Ulusal Yüksek Başarımlı Hesaplama Konferansı - BAŞARIM 2020, 8 Ekim 2020
WİYSOBUNRİ BELTUS NKWAWİR, ERDEN HAMZA SALİH, TÖREYİN BEHÇET UĞUR
Behçet Uğur Töreyin Tam metin bildiri
An Out-of-Sample Extension to Manifold Learning via Meta-Modeling
IEEE TRANSACTIONS ON IMAGE PROCESSING, Vol. 28, No. 10, Ekim 2019, s. 5227-5237, ISSN: 1057-7149
TAŞKIN KAYA GÜLŞEN,CRAWFORD MELBA
Gülşen Taşkın Kaya Özgün Makale
A Survey on Malware Detection with Deep Learning
SIN 2020: 13th International Conference on Security of Information and Networks, İstanbul/TÜRKİYE, Vol. 34, 4 Kasım 2020, s. 1-6
ŞAHİN MUHAMMET, BAHTİYAR ŞERİF
Challenges in Synchronous e-Learning in Architectural Education
PUDCAD universal design education practice conference - Game Design Education, İstanbul/TÜRKİYE, 24 Haziran 2020, s. 409-422, ISSN: 2661-8184
ALTINTAŞ MERİÇ,EDİS FETHİYE ECEM,ÜNLÜ GÜLTEN ASLIHAN
Fethiye Ecem Edis Tam metin bildiri
Learning Building Subsystems Interactions and Environmental Sustainability by Doing A Discussion on the Outputs of a Design Studio
the Integrated Design Conference ID@50, 29 Haziran 2016
EDİS FETHİYE ECEM
Fethiye Ecem Edis Tam metin bildiri
A deep learning method for fraud detection in financial systems
Proceedings of the 12th Conference on Security and Privacy in Wireless and Mobile Networks - WiSec ’xx19, Miami, Florida/AMERİKA BİRLEŞİK DEVLETLERİ, 15 Mayıs 2019, s. 298-299
ÖĞREK MAHMUT,ÖĞREK EYÜP,BAHTİYAR ŞERİF
Şerif Bahtiyar Tam metin bildiri

İLETİŞİM BİLGİLERİ

İstanbul Teknik Üniversitesi Rektörlüğü İTÜ Ayazağa Kampüsü Rektörlük Binası, Maslak-Sarıyer / İstanbul Tel: +90 212 285 3930