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Emotion Based Music Recommendation System Using Wearable Physiological Sensors
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, Vol. 64, No. 2, Kasım 2018, s. 196-203, ISSN: 0098-3063
AYATA DEĞER,YASLAN YUSUF,KAMAŞAK MUSTAFA ERSEL
Learning by doing revisited: An interactive experience in teaching design methods
DRS // CUMULUS 2013: 2nd International Conference for Design Education Researchers, Oslo/NORVEÇ, Vol. 3, 14 Mayıs 2013, s. 1652-1666
ÇELİKOĞLU ÖZGE,TİMUR ÖĞÜT ŞEBNEM
Özge Çelikoğlu Tam metin bildiri
Inter-vendor performance of deep learning in segmenting acute ischemic lesions on diffusion-weighted imaging: a multicenter study
Scientific Reports, Vol. 11, Ocak 2021, ISSN: 2045-2322
ALİŞ DENİZ CAN, YERGİN MERT, ALİŞ CEREN, TOPEL ÇAĞDAŞ, ASMAKUTLU OSMAN, BAĞCILAR ÖMER, SENLİ YESEREN DENİZ, ÜSTÜNDAĞ AHMET, SALT VEFA, NACAR DOĞAN SEBAHAT, VELİOĞLU MURAT, SELÇUK HAKAN HATEM, ÖKSÜZ İLKAY, KIZILKILIÇ OSMAN, KARAARSLAN ERCAN
İlkay Öksüz Özgün Makale
Using Audio Loops for Instrument Family Recognition in Machine Learning Tasks
Porte Akademik Müzik ve Dans Araştırmaları Dergisi, Vol. 7, No. 21, Aralık 2021, ISSN: 2146-2453
YÜCEL İSMET EMRE, ÖZDEMİR TAYLAN
Taylan Özdemir Özgün Makale
Interpreting Variational Autoencoders with Fuzzy Logic: A step towards interpretable deep learning based fuzzy classifiers
2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 19 Temmuz 2020
BÖLAT KUTAY,KUMBASAR TUFAN
Tufan Kumbasar Tam metin bildiri
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
Behçet Uğur Töreyin 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), Antalya/TÜRKİYE, 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
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 AYŞE,GENÇ ANIL,KABAKÇI KAAN AYKUT,ÇAPAR ABDULKERİM,TÖREYİN BEHÇET UĞUR,EKENEL HAZIM KEMAL,TÜRKMEN İLKNUR,ÇAKIR ASLI
Behçet Uğur Töreyin Tam metin bildiri
Fuzzy PID controller design using Q learning algorithm with a manipulated reward function
2015 European Control Conference (ECC), 15 Temmuz 2015, s. 2502-2507
AGHAEI VAHID TAVAKOL,ONAT AHMET,EKSİN İBRAHİM,GÜZELKAYA MÜJDE
Müjde Güzelkaya Tam metin bildiri
Selection of learning analytics projects by using spherical fuzzy TOPSIS
14th International FLINS Conference (FLINS 2020), Cologne, 18 Ağustos 2020, s. 226-234
KAHRAMAN CENGİZ,ÖZTAYŞİ BAŞAR,ÇEVİK ONAR SEZİ,OTAY İREM
Başar Öztayşi Tam metin bildiri
A New Approach for Tactical Decision Making in Lane Changing: Sample Efficient Deep Q Learning with a Safety Feedback Reward
IEEE Intelligent Vehicles Symposium, 19 Eylül 2020
YAVAŞ MUHARREM UĞUR,KUMBASAR TUFAN,ÜRE NAZIM KEMAL
Tufan Kumbasar Tam metin bildiri
Determination of Forest Burn Scar and Burn Severity From Free Satellite Images: a Comparative Evaluation of Spectral Indices and Machine Learning Classifiers
International Journal of Environment and Geoinformatics, Vol. 8, No. 4, Aralık 2021, s. 488-497, ISSN: 2148-9173
MASHHADİ NOOSHİN, ALGANCI UĞUR
Uğur Algancı Özgün Makale
3D Object Detection from Mobile LIDAR Point Cloud with Deep Learning
The 42nd Asian Conference on Remote Sensing (ACRS2021), Can Tho city/VİETNAM, 22 Kasım 2021
ATİK MUHAMMED ENES, DURAN ZAİDE
Muhammed Enes Atik Tam metin bildiri
Single malt or blended a study in multilingual parser optimization
In Proceedings of the 11th Conference on Computational Natural Language Learning (CoNLL-XI), Prague/ÇEK CUMHURİYETİ, 28 Haziran 2007, s. 933-939
HALL JOHAN,NİLLSON JENS,NİVRE JOAKİM,ERYİĞİT GÜLŞEN,MEGYESİ BEATA,NİLSSON MATTİAS,SAERS MARKUS
Gülşen Eryiğit Tam metin bildiri
Machine Learning based Regression Model for Prediction of Soil Surface Humidity over Moderately Vegetated Fields
2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics), 16 Temmuz 2019
ACAR EMRULLAH,ÖZERDEM MEHMET SİRAÇ,ÜSTÜNDAĞ BURAK BERK
Burak Berk Üstündağ Tam metin bildiri
Assessing the performance of machine learning algorithms for soil salinity mapping in Google Earth Engine platform using Sentinel-2A and Landsat-8 OLI data
Advances in Space Research, Vol. 69, No. 2, Ocak 2022, ISSN: 0273-1177
AKSOY SAMET, YILDIRIM AYLİN, GORJI TAHA, HAMZEHPOUR NIKOU, TANIK AYŞE GÜL, SERTEL ELİF
Samet Aksoy Özgün Makale
An Artificial Neural Network Model for Prediction of Bursting Strength of Knitted Fabrics
International Conference on Machine Learning and Computer Science, 11 Ağustos 2012
BAHADIR M CAGATAY,KURŞUN BAHADIR SENEM,KALAOĞLU FATMA
Senem Kurşun Bahadır Tam metin bildiri
Predicting Ocean Energy Harvesting Dynamics using LSTM Deep Learning Network
34th Asian-Pacific Technical Exchange and Advisory Meeting on Marine Structures TEAM 2020/21 Conference, İstanbul/TÜRKİYE, 6 Aralık 2021, s. 416-423
ALAN ALİ RIZA,BAYINDIR CİHAN
Cihan Bayındır Tam metin bildiri
Estimating the Distributed Generation Unit Sizing and Its Effects on the Distribution System by Using Machine Learning Methods
Elektronika ir Elektrotechnika, Vol. 27, No. 4, Ağustos 2021, s. 24-32, ISSN: 1392-1215
TÜRKAY BELGİN, PÜRLÜ MİKAİL
A machine-learning model driven by geometry, material and structural performance data in architectural design process
38. eCAADe (Education and Research in Computer Aided Architectural Design in Europe) Online Conference, Berlin/ALMANYA, Vol. 1, No. 1, 16 Eylül 2020, s. 411-418
YAZICI SEVİL
Sevil Yazıcı Tam metin bildiri

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