Melanoma recognition using extended set of descriptors and classifiers Kruk Michał, Świderski Bartosz, Osowski Stanisław, Kurek Jarosław, Słowińska ... EURASIP Journal on Image and Video Processing, 2015 | 50 | 2015 |
Deep learning and non-negative matrix factorization in recognition of mammograms B Swiderski, J Kurek, S Osowski, M Kruk, W Barhoumi Eighth International Conference on Graphic and Image Processing (ICGIP 2016 …, 2017 | 46 | 2017 |
Novel methods of image description and ensemble of classifiers in application to mammogram analysis B Swiderski, S Osowski, J Kurek, M Kruk, I Lugowska, P Rutkowski, ... Expert Systems with Applications 81, 67-78, 2017 | 41 | 2017 |
Use of nearest neighbors (k–nn) algorithm in tool condition identification in the case of drilling in melamine faced particleboard A Jegorowa, J Górski, J Kurek, M Kruk Maderas. Ciencia y Tecnología 22 (2), 2020 | 38 | 2020 |
Developing automatic recognition system of drill wear in standard laminated chipboard drilling process S Osowski, J Kurek, M Kruk, J Górski, P Hoser, G Wieczorek, A Jegorowa, ... Bulletin of the Polish Academy of Sciences Technical Sciences, 633-640-633-640, 2016 | 38 | 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 | 34 | 2017 |
False-positive reduction in computer-aided mass detection using mammographic texture analysis and classification S Dhahbi, W Barhoumi, J Kurek, B Swiderski, M Kruk, E Zagrouba Computer Methods and Programs in Biomedicine 160, 75-83, 2018 | 32 | 2018 |
Deep learning versus classical neural approach to mammogram recognition J Kurek, B Świderski, S Osowski, M Kruk, W Barhoumi Bulletin of the Polish Academy of Sciences. Technical Sciences 66 (6), 2018 | 32 | 2018 |
Initial study on the use of support vector machine (SVM) in tool condition monitoring in chipboard drilling A Jegorowa, J Górski, J Kurek, M Kruk European Journal of Wood and Wood Products, 1-3, 2019 | 30 | 2019 |
Deep learning in assessment of drill condition on the basis of images of drilled holes J Kurek, B Swiderski, A Jegorowa, M Kruk, S Osowski Eighth International Conference on Graphic and Image Processing (ICGIP 2016 …, 2017 | 29 | 2017 |
Ensemble of classifiers and wavelet transformation for improved recognition of Fuhrman grading in clear-cell renal carcinoma M Kruk, J Kurek, S Osowski, R Koktysz, B Swiderski, T Markiewicz Biocybernetics and Biomedical Engineering 37 (3), 357-364, 2017 | 26 | 2017 |
Deep learning methods for drill wear classification based on images of holes drilled in melamine faced chipboard A Jegorowa, J Kurek, I Antoniuk, W Dołowa, M Bukowski, P Czarniak Wood Science and Technology 55, 271-293, 2021 | 22 | 2021 |
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 | 19 | 2019 |
Texture characterization based on the Kolmogorov–Smirnov distance B Swiderski, S Osowski, M Kruk, J Kurek Expert Systems with Applications 42 (1), 503-509, 2015 | 19 | 2015 |
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 | 18 | 2019 |
Automatic recognition of industrial tools using artificial intelligence approach T Les, M Kruk, S Osowski Expert Systems with Applications 40 (12), 4777-4784, 2013 | 18 | 2013 |
Computerized classification system for the identification of soil microorganisms M Kruk, R Kozera, S Osowski, P Trzciński, LS Paszt, B Sumorok, ... AIP Conference Proceedings 1648 (1), 660018, 2015 | 16 | 2015 |
Recognition and classification of colon cells applying the ensemble of classifiers M Kruk, S Osowski, R Koktysz Computers in biology and medicine 39 (2), 156-165, 2009 | 16 | 2009 |
Aggregation of classifiers ensemble using local discriminatory power and quantiles B Swiderski, S Osowski, M Kruk, W Barhoumi Expert Systems with Applications 46, 316-323, 2016 | 15 | 2016 |
Application of Machine Learning Algorithms for Tool Condition Monitoring in Milling Chipboard Process A Przybyś-Małaczek, I Antoniuk, K Szymanowski, M Kruk, J Kurek Sensors 23 (13), 5850, 2023 | 14 | 2023 |