Semi-supervised image attribute editing using generative adversarial networks Y Dogan, HY Keles Neurocomputing 401, 338-352, 2020 | 19 | 2020 |
Iterative facial image inpainting based on an encoder-generator architecture Y Dogan, HY Keles Neural Computing and Applications 34 (12), 10001-10021, 2022 | 12 | 2022 |
Chess playing robotic arm M Atas, Y Dogan, S Atas 2014 22nd Signal Processing and Communications Applications Conference (SIU …, 2014 | 12 | 2014 |
Forensic dental age estimation using modified deep learning neural network A İsa, C Özdemir, A Musa, Y Doğan Balkan Journal of Electrical and Computer Engineering 11 (4), 298-305, 2022 | 10 | 2022 |
Prediction of adaptive exposure time in hyperspectral bands for industrial cameras Y Doğan, M Ataş 2015 23nd signal processing and communications applications conference (SIU …, 2015 | 8 | 2015 |
A new global pooling method for deep neural networks: Global average of top-k max-pooling Y Dogan Traitement du Signal, 40 (2), 577-587, 2023 | 7 | 2023 |
A new approach for plotting raster based image files Y Dogan, M Atas, C Özdemir 2014 22nd Signal Processing and Communications Applications Conference (SIU …, 2014 | 6* | 2014 |
Deep Learning Based Gender Identification Using Ear Images Ş Kılıç, Y Dogan Traitement du Signal 40 (4), 1629-1639, 2023 | 4 | 2023 |
Stability and diversity in generative adversarial networks Y Dogan, HY Keles 2019 27th signal processing and communications applications conference (SIU …, 2019 | 4 | 2019 |
Fast Weighing of Pistachio Nuts by Vibration Sensor Array İA Musa Ataş, Yahya Doğan International Journal of Electronics and Electrical Engineering 4 (4), 313-317, 2016 | 4 | 2016 |
Classification of closed and open shell pistachio nuts by machine vision M Ataş, Y Doğan International Conference on Advanced Technology Sciences, Antalya, 2015 | 3 | 2015 |
Endüstriyel kameralar için hiperspektral bantlarda adaptif pozlama süresi kestirimi Y Doğan Yüksek Lisans Tezi, Fırat Üniversitesi, Fen Bilimleri Enstitüsü, Elazığ …, 2016 | 2 | 2016 |
Adaptive High Dynamic Range M Ataş, Y Doğan 2015 23nd Signal Processing and Communications Applications Conference (SIU …, 2015 | 2 | 2015 |
A new local pooling approach for convolutional neural network: local binary pattern C Ozdemir, Y Dogan, Y Kaya Multimedia Tools and Applications 83, 34137–34151, 2024 | 1 | 2024 |
Derin Öğrenme Yöntemleriyle Çapraz Veri Seti Değerlendirmesi Altında COVID-19 Tespiti Y DOĞAN Gazi University Journal of Science Part C: Design and Technology 11 (3), 813-823, 2023 | 1 | 2023 |
RGB-Angle-Wheel: A new data augmentation method for deep learning models C Ozdemir, Y Dogan, Y Kaya Knowledge-Based Systems 291, 111615, 2024 | | 2024 |
Advancing brain tumor classification through MTAP model: an innovative approach in medical diagnostics C Ozdemir, Y Dogan Medical & Biological Engineering & Computing, 1-12, 2024 | | 2024 |
Which pooling method is better: Max, Avg, or Concat (Max, Avg) Y DOĞAN Communications Faculty of Sciences University of Ankara Series A2-A3 …, 2024 | | 2024 |
Skin Lesion Classification Using Deep Learning Methods: CNN, Mlp-Mixer and ViT Y Dogan, O Cuneyt, A Musa iii. international siirt conference on scientific research, 564-574, 2022 | | 2022 |
Correction of Real-Time Exposure in Hyperspectral Bands for Industrial Cameras Y Dogan, A Cinar, E Ozbay | | 2017 |