| Image recognition with deep neural networks in presence of noise – Dealing with and taking advantage of distortions M Koziarski, B Cyganek Integrated Computer-Aided Engineering 24 (4), 337-349, 2017 | 106 | 2017 |
| CCR: A Combined Cleaning and Resampling Algorithm for Imbalanced Data Classification M Koziarski, M Woźniak International Journal of Applied Mathematics and Computer Science 27 (4 …, 2017 | 25 | 2017 |
| Radial-Based Oversampling for noisy imbalanced data classification M Koziarski, B Krawczyk, M Woźniak Neurocomputing 343, 19-33, 2019 | 23 | 2019 |
| Impact of Low Resolution on Image Recognition with Deep Neural Networks: An Experimental Study M Koziarski, B Cyganek International Journal of Applied Mathematics and Computer Science 28 (4 …, 2018 | 16 | 2018 |
| Radial-based approach to imbalanced data oversampling M Koziarski, B Krawczyk, M Woźniak International Conference on Hybrid Artificial Intelligence Systems, 318-327, 2017 | 12 | 2017 |
| Radial-Based Oversampling for multiclass imbalanced data classification B Krawczyk, M Koziarski, M Woźniak IEEE transactions on neural networks and learning systems, 2019 | 11 | 2019 |
| Deep neural image denoising M Koziarski, B Cyganek International Conference on Computer Vision and Graphics, 163-173, 2016 | 10 | 2016 |
| Radial-Based Undersampling for imbalanced data classification M Koziarski Pattern Recognition 102, 107262, 2020 | 9 | 2020 |
| The deterministic subspace method for constructing classifier ensembles M Koziarski, B Krawczyk, M Woźniak Pattern Analysis and Applications 20 (4), 981-990, 2017 | 8 | 2017 |
| A multiresolution grid structure applied to seafloor shape modeling W Maleika, M Koziarski, P Forczmański ISPRS International Journal of Geo-Information 7 (3), 119, 2018 | 7 | 2018 |
| Convolutional neural network-based classification of histopathological images affected by data imbalance M Koziarski, B Kwolek, B Cyganek Video Analytics. Face and Facial Expression Recognition, 1-11, 2018 | 6 | 2018 |
| Analysis of group evolution prediction in complex networks S Saganowski, P Bródka, M Koziarski, P Kazienko PloS one 14 (10), e0224194, 2019 | 4 | 2019 |
| Combined Cleaning and Resampling Algorithm for Multi-Class Imbalanced Data with Label Noise M Koziarski, M Woźniak, B Krawczyk arXiv preprint arXiv:2004.03406, 2020 | 3 | 2020 |
| Radial-Based Undersampling Algorithm for Classification of Breast Cancer Histopathological Images Affected by Data Imbalance M Koziarski 2019 12th International Congress on Image and Signal Processing, BioMedical …, 2019 | 3 | 2019 |
| CSMOUTE: Combined Synthetic Oversampling and Undersampling Technique for Imbalanced Data Classification M Koziarski arXiv preprint arXiv:2004.03409, 2020 | 2 | 2020 |
| Breast Cancer Classification on Histopathological Images Affected by Data Imbalance Using Active Learning and Deep Convolutional Neural Network B Kwolek, M Koziarski, A Bukała, Z Antosz, B Olborski, P Wąsowicz, ... International Conference on Artificial Neural Networks, 299-312, 2019 | 2 | 2019 |
| Examination of the deep neural networks in classification of distorted signals M Koziarski, B Cyganek International Conference on Artificial Intelligence and Soft Computing, 680-688, 2016 | 2 | 2016 |
| The impact of distortions on the image recognition with histograms of oriented gradients A Bukała, M Koziarski, B Cyganek, ON Koc̨, A Kara International Conference on Image Processing and Communications, 166-178, 2019 | 1 | 2019 |
| Forming classifier ensembles with deterministic feature subspaces M Koziarski, B Krawczyk, M Woźniak 2016 Federated Conference on Computer Science and Information Systems …, 2016 | 1 | 2016 |
| Two-Stage Resampling for Convolutional Neural Network Training in the Imbalanced Colorectal Cancer Image Classification M Koziarski arXiv preprint arXiv:2004.03332, 2020 | | 2020 |
Boguslaw CyganekAGH University of Science and TechnologyVerified email at agh.edu.pl
