| Continuous rotation invariant features for gradient-based texture classification K Hanbay, N Alpaslan, MF Talu, D Hanbay, A Karci, AF Kocamaz Computer Vision and Image Understanding 132, 87-101, 2015 | 46 | 2015 |
| Multi-resolution intrinsic texture geometry-based local binary pattern for texture classification N Alpaslan, K Hanbay IEEE Access 8, 54415-54430, 2020 | 45 | 2020 |
| An effective approach to the two-dimensional rectangular packing problem in the manufacturing industry H Fırat, N Alpaslan Computers & Industrial Engineering 148, 106687, 2020 | 31 | 2020 |
| Developing a retrieval based diagnostic aid for automated melanoma recognition of dermoscopic images M Rahman, N Alpaslan, P Bhattacharya 2016 IEEE applied imagery pattern recognition workshop (AIPR), 1-7, 2016 | 28 | 2016 |
| Multi-scale shape index-based local binary patterns for texture classification N Alpaslan, K Hanbay IEEE Signal Processing Letters 27, 660-664, 2020 | 26 | 2020 |
| Principal curvatures based rotation invariant algorithms for efficient texture classification K Hanbay, N Alpaslan, MF Talu, D Hanbay Neurocomputing 199, 77-89, 2016 | 26 | 2016 |
| Robust optimization of SVM hyper-parameters for spillway type selection E Gul, N Alpaslan, ME Emiroglu Ain Shams Engineering Journal 12 (3), 2413-2423, 2021 | 23 | 2021 |
| Robust optimization of SegNet hyperparameters for skin lesion segmentation N Şahin, N Alpaslan, D Hanbay Multimedia Tools and Applications 81 (25), 36031-36051, 2022 | 20 | 2022 |
| Neutrosophic set based local binary pattern for texture classification N Alpaslan Expert Systems with Applications 209, 118350, 2022 | 16 | 2022 |
| Gradyan tabanlı heterojen öznitelik çıkarma yöntemlerine yeni yaklaşımlar N Alpaslan Fen Bilimleri Enstitüsü, 2013 | 16 | 2013 |
| Classification of breast masses in mammogram images using KNN N Alpaslan, A Kara, B Zenci̇r, D Hanbay 2015 23nd Signal Processing and Communications Applications Conference (SIU …, 2015 | 12 | 2015 |
| Calculation of melatonin and resveratrol effects on steatosis hepatis using soft computing methods MF Talu, M Gül, N Alpaslan, B Yiğitcan Computer methods and programs in biomedicine 111 (2), 498-506, 2013 | 12 | 2013 |
| Computer-aided tumor detection system using brain MR images A Ari, N Alpaslan, D Hanbay 2015 Medical Technologies National Conference (TIPTEKNO), 1-4, 2015 | 10 | 2015 |
| SegNet Mimarisi Kullanılarak Cilt Lezyon Bölütleme Performansının İyileştirilmesi N Şahin, N Alpaslan Avrupa Bilim ve Teknoloji Dergisi, 40-45, 2020 | 8 | 2020 |
| Meme kanseri tanısı için derin öznitelik tabanlı karar destek sistemi N ALPASLAN Selçuk Üniversitesi Mühendislik, Bilim ve Teknoloji Dergisi 7 (1), 213-227, 2019 | 7 | 2019 |
| A decision support system (DSS) for breast cancer detection based on invariant feature extraction, classification, and retrieval of masses of mammographic images M Rahman, N Alpaslan Medical Imaging and Image-Guided Interventions, 2018 | 6 | 2018 |
| HOG tabanlı YSA kullanılarak yağlı karaciğer tedavisindeki ilaç etkinliklerinin hesaplanması N Alpaslan, MF Talu, M Gül, B Yiğitcan Sakarya University Journal of Science 16 (2), 106-112, 2012 | 6 | 2012 |
| Evrişimsel Sinir Ağı Mimarileri ve Öğrenim Aktarma ile Bitki Zararlısı Çekirge Türlerinin Sınıflandırması N Şahin, N Alpaslan, M İlçin, D Hanbay Fırat Üniversitesi Mühendislik Bilimleri Dergisi 35 (1), 321-331, 2023 | 5 | 2023 |
| Beyin MR görüntülerinden bilgisayar destekli tümör teşhisi sistemi A Ari, N Alpaslan, D Hanbay Tıp Teknolojileri Ulusal Kongresi, Bodrum, Türkiye, 15-17, 0 | 5 | |
| Automated melanoma recognition in dermoscopic images based on extreme learning machine (ELM) MM Rahman, N Alpaslan Medical Imaging 2017: Computer-Aided Diagnosis 10134, 278-285, 2017 | 4 | 2017 |
Davut Hanbayinonu UniversityZweryfikowany adres z inonu.edu.tr
