| Optimizing the color-to-grayscale conversion for image classification A Güneş, H Kalkan, E Durmuş Signal, Image and Video Processing 10, 853-860, 2016 | 90 | 2016 |
| Detection of contaminated hazelnuts and ground red chili pepper flakes by multispectral imaging H Kalkan, P Beriat, Y Yardimci, TC Pearson Computers and Electronics in Agriculture 77 (1), 28-34, 2011 | 88 | 2011 |
| Automated classification of local patches in colon histopathology H Kalkan, M Nap, RPW Duin, M Loog Proceedings of the 21st international conference on pattern recognition …, 2012 | 41 | 2012 |
| Non-invasive detection of aflatoxin-contaminated figs using fluorescence and multispectral imaging H Kalkan, A Güneş, E Durmuş, A Kuşçu Food Additives & Contaminants: Part A 31 (8), 1414-1421, 2014 | 37 | 2014 |
| Classification of hazelnut kernels by using impact acoustic time-frequency patterns H Kalkan, NF Ince, AH Tewfik, Y Yardimci, T Pearson EURASIP Journal on Advances in Signal Processing 2008, 1-11, 2007 | 29 | 2007 |
| A hyperspectral imaging based control system for quality assessment of dried figs G Ortaç, AS Bilgi, K Taşdemir, H Kalkan Computers and Electronics in Agriculture 130, 38-47, 2016 | 28 | 2016 |
| Detection of aflatoxin and surface mould contaminated figs by using Fourier transform near‐infrared reflectance spectroscopy E Durmuş, A Güneş, H Kalkan Journal of the Science of Food and Agriculture 97 (1), 317-323, 2017 | 24 | 2017 |
| Classification of hazelnut kernels by impact acoustics H Kalkan, Y Yardimci 2006 16th IEEE Signal Processing Society Workshop on Machine Learning for …, 2006 | 24 | 2006 |
| Automated colorectal cancer diagnosis for whole-slice histopathology H Kalkan, M Nap, RPW Duin, M Loog Medical Image Computing and Computer-Assisted Intervention–MICCAI 2012: 15th …, 2012 | 21 | 2012 |
| Optimization of microwave-assisted drying of Jerusalem artichokes (Helianthus tuberosus L.) by response surface methodology and genetic algorithm E KARACABEY, C Baltacioglu, M Cevik, H Kalkan Italian Journal of Food Science 28 (1), 121-130, 2016 | 19 | 2016 |
| Identification of damaged wheat kernels and cracked-shell hazelnuts with impact acoustics time-frequency patterns NF Ince, I Onaran, T Pearson, AH Tewfik, AE Cetin, H Kalkan, Y Yardimci Transactions of the ASABE 51 (4), 1461-1469, 2008 | 15 | 2008 |
| Prediction of Alzheimer’s Disease by a Novel Image-Based Representation of Gene Expression H Kalkan, UM Akkaya, G Inal-Gültekin, AM Sanchez-Perez Genes 13 (8), 1406, 2022 | 13 | 2022 |
| Classification of black mold contaminated figs by hyperspectral imaging G Ortaç, AS Bilgi, YE Görgülü, A Güneş, H Kalkan, K Taşdemir 2015 IEEE International Symposium on Signal Processing and Information …, 2015 | 13 | 2015 |
| Polynomial curve fitting with varying real powers B Cetisli, H Kalkan Elektronika ir Elektrotechnika 112 (6), 117-122, 2011 | 13 | 2011 |
| Online feature selection and classification H Kalkan, B Çetisli 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011 | 13 | 2011 |
| Classification of DNA sequences with k-mers based vector representations UM Akkaya, H Kalkan 2021 Innovations in Intelligent Systems and Applications Conference (ASYU), 1-5, 2021 | 11 | 2021 |
| Detection of aflatoxin contaminated figs using Near-Infrared (NIR) reflectance spectroscopy A Güneş, H Kalkan, E Durmuş, MB Bütükcan 2013 International Conference on Electronics, Computer and Computation …, 2013 | 9 | 2013 |
| Classification of physical activities using accelerometer signals H Sökün, H Kalkan, B Cetişli 2012 20th Signal Processing and Communications Applications Conference (SIU …, 2012 | 9 | 2012 |
| U-Net-based RGB and LiDAR image fusion for road segmentation AT Candan, H Kalkan Signal, Image and Video Processing 17 (6), 2837-2843, 2023 | 7 | 2023 |
| Detection of high aflatoxin risk figs with computer vision A Güneş, E Durmuş, H Kalkan 2013 21st Signal Processing and Communications Applications Conference (SIU …, 2013 | 6 | 2013 |
