A deep learning and RSSI based approach for indoor positioning
2018 26th Signal Processing and Communications Applications Conference (SIU), 2 Mayıs 2018
YÜKSEL KAMURAN DOĞUŞ,TÖREYİN BEHÇET UĞUR
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A deep learning based approach for classification of CerbB2 tumor cells in breast cancer
2017 25th Signal Processing and Communications Applications Conference (SIU), Antalya/TÜRKİYE, 15 Mayıs 2017
TATAROĞLU GÖZDE,GENÇ ANIL,KABAKÇI KAAN,ÇAPAR ABDULKERİM,TÖREYİN BEHÇET UĞUR,EKENEL HAZIM KEMAL,TÜRKMEN İLKNUR,ÇAKIR ASLI
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Myelin detection in fluorescence microscopy images using machine learning
JOURNAL OF NEUROSCIENCE METHODS, Vol. 346, Aralık 2020, s. 108946, ISSN: 0165-0270
ÇİMEN YETİŞ SİBEL,ÇAPAR ABDULKERİM,EKİNCİ DURSUN ALİ,AYTEN UMUT ENGİN,KERMAN BİLAL ERSEN,TÖREYİN BEHÇET UĞUR
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Sparse coding of hyperspectral imagery using online learning
Signal Image and Video Processing, Vol. 9, No. 4, Şubat 2015, s. 959-966, ISSN: 1863-1703
ÜLKÜ İREM,TÖREYİN BEHÇET UĞUR
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Sparse representations for online learning based hyperspectral image compression
Applied Optics, Vol. 54, No. 29, Ekim 2015, s. 8625, ISSN: 0003-6935
ÜLKÜ İREM,TÖREYİN BEHÇET UĞUR
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Fire Detection in Video Using LMS Based Active Learning
Fire Technology, Vol. 46, No. 3, Temmuz 2010, s. 551-577, ISSN: 0015-2684
GÜNAY OSMAN,KASIM TAŞDEMİR,TÖREYİN BEHÇET UĞUR,ÇETİN AHMET ENİS
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Improved cell segmentation using deep learning in label-free optical microscopy images
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, Vol. 29, Ekim 2021, s. 2855-2868, ISSN: 1300-0632
AYANZADEH AYDIN, YALÇIN ÖZUYSAL ÖZDEN, PESEN OKVUR DEVRİM, ÖNAL SEVGİ, TÖREYİN BEHÇET UĞUR, ÜNAY DEVRİM
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Anomaly Detection on ADS-B Flight Data Using Machine Learning Techniques
International Conference on Computational Collective Intelligence, Rodos/YUNANİSTAN, 29 Eylül 2021
TAŞDELEN OSMAN, ÇARKACIOĞLU LEVENT, TÖREYİN BEHÇET UĞUR
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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
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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
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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
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AN INTERACTIVE LEARNING SYSTEM APPROACH FOR MENTALLY DISABLED CHILDREN BY USING ANIMATIONS
International Conference on New Horizons in Education, BARCELONA/İSPANYA, Vol. 1, 10 Haziran 2015, s. 146-146, ISSN: 21467358
CEBECİ UFUK,AYHAN TATAY
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A Model Proposal for the Adaptation of a System That Can Detect Cataphoresis Coating Defects with a Deep Learning Based Image Processing Technology to Automotive Quality Process
9th International Symposium on Innovative Technologies in Engineering and Science 15-17 October 2021 (ISITES2021 Sakarya - Turkey), SAKARYA/TÜRKİYE, 15 Ekim 2021, s. 223-231, ISSN: 2667-5862
CEBECİ UFUK, ŞİMŞEK TOLGA, ÇELİK GÖKTUĞ, ŞENBAY ESMEGÜL
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A Model Proposal for the Adaptation of a System That Can Detect Cataphoresis Coating Defects with a Deep Learning Based Im
Academic Perspective Procedia, Vol. 4, No. 1, Ekim 2020, s. 223-231, ISSN: 2667-5862
ŞİMŞEK TOLGA, CEBECİ UFUK, ŞENBAY ESMEGÜL, ÇELİK GÖKTUĞ
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”IMIAD Digital Representation Techniques: Learning by Doing” Çalıştayı
İstanbul Teknik Üniversitesi Mimarlık Fakültesi, 3 Nisan 2019 - 15 Mayıs 2019
DOÇ.DR. ERVİN GARİP, DOÇ.DR. BANU GARİP, HAYRİ ATAK, ARAŞ.GÖR. AYCAN KIZILKAYA
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“IMIAD Digital Representation Techniques: Learning by Doing” Çalıştayı Sergisi
İstanbul Teknik Üniversitesi Mimarlık Fakültesi, 15 Mayıs 2019 - 31 Mayıs 2019
DOÇ.DR. ERVİN GARİP, DOÇ.DR. BANU GARİP, HAYRİ ATAK, ARAŞ.GÖR. AYCAN KIZILKAYA
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System and method for prototyping by learning from examples wherein a prototype is calculated for each shape class cluster
Patent No: 8,380,644, Patent Sınıfı: US, 2013
A. ZOUHAR, S.H. BALOCH, S. AZERNİKOV, C. BAHLMANN, T. FANG, G. UNAL, S. FUCHS
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Automated Oral Cancer Screening: Detection and Classification of Oral Lesions Using Deep Learning to Detect Oral Potentially Malignant Disorders
Patent No: 63164594, 2021
ONUR ERGEN ,MUSTAFA ERGEN,MERVA SOLUK TEKKEŞİN,GİZEM TANRİVER
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Bayesian reinforcement learning with MCMC to maximize energy output in hardware-in-the-loop simulations of vertical axis wind turbine
Mühendislik ve Fen Bilimleri Enstitüsü, Sabancı Üniversitesi, 2021
USAMAH YAASEEN OSMAN
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Developing a Self-Learning Based Method that Can Be Used as a Reinforcer of PID Control Algorithm and / or an Alternative to PID
Fen Bilimleri Enstitüsü, Sabancı Üniversitesi, 2020
COŞKU ISPALAR
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