Developing automatic recognition system of drill wear in standard laminated chipboard drilling process J Kurek, M Kruk, S Osowski, P Hoser, G Wieczorek, A Jegorowa, J Górski, ... Bulletin of the Polish Academy of Sciences. Technical Sciences 64 (3), 2016 | 32 | 2016 |
Transfer learning in recognition of drill wear using convolutional neural network J Kurek, G Wieczorek, BSM Kruk, A Jegorowa, S Osowski 2017 18th International Conference on Computational Problems of Electrical …, 2017 | 27 | 2017 |
DATA AUGMENTATION TECHNIQUES FOR TRANSFER LEARNING IMPROVEMENT IN DRILL WEAR CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORK. J Kurek, I Antoniuk, J Górski, A Jegorowa, B Świderski, M Kruk, ... Machine Graphics & Vision 28, 2019 | 13 | 2019 |
CLASSIFIERS ENSEMBLE OF TRANSFER LEARNING FOR IMPROVED DRILL WEAR CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORK. J Kurek, I Antoniuk, J Górski, A Jegorowa, B Świderski, M Kruk, ... Machine Graphics & Vision 28, 2019 | 12 | 2019 |
Testing the Limits of Detection of the ‘Orange Skin’Defect in Furniture Elements with the HOG Features LJ Chmielewski, A Orłowski, G Wieczorek, K Śmietańska, J Górski Asian Conference on Intelligent Information and Database Systems, 276-286, 2017 | 4 | 2017 |
Choice of distance function in the segmentation of regions of interest in microscopic images of breast tissues G Wieczorek, B Świderski, LJ Chmielewski, M Kruk, A Orłowski 2017 18th International Conference on Computational Problems of Electrical …, 2017 | 3 | 2017 |
Milk duct segmentation in microscopic HE images of breast cancer tissues B Świderski, M Kruk, S Osowski, G Wieczorek, J Kurek, LJ Chmielewski, ... MATEC Web of Conferences 125, 04013, 2017 | 2 | 2017 |
Chaos theory-based quantification of ROIs for mammogram classification J Kurek, B Świderski, S Dhahbi, M Kruk, W Barhoumi, G Wieczorek, ... Computational Vision and Medical Image Processing V. Proc. 5th Eccomas …, 2015 | 2 | 2015 |
Computational Vision and Medical Image Processing V J Kurek, B Świderski, S Dhahbi, M Kruk, W Barhoumi, G Wieczorek, ... | 2* | |
BCT Boost Segmentation with U-net in TensorFlow G Wieczorek, I Antoniuk, J Kurek, B Świderski, M Kruk, J Pach, A Orłowski Machine Graphics and Vision 28 (1/4), 25--34, 2019 | 1 | 2019 |
The application of ensemble classification techniques in soil classification system on the basis of dmt and cpt data J Kurek, M Kruk, P Bilski, O Akpolat, S Rabarijoely, G Wieczorek 3rd international conference on artificial intelligence and computer science …, 2015 | 1 | 2015 |
CONTEXT-BASED SEGMENTATION OF THE LONGISSIMUS MUSCLE IN BEEF WITH A DEEP NEURAL NETWORK. K Talacha, B Swiderski, J Kurek, M Kruk, A Półtorak, LJ Chmielewski, ... Machine Graphics & Vision 28, 2019 | | 2019 |
Textural Features Based on Run Length Encoding in the Classification of Furniture Surfaces with the Orange Skin Defect J Pach, LJ Chmielewski, A Orłowski, M Kruk, J Kurek, B Świderski, ... Machine Graphics and Vision 28, 2019 | | 2019 |