Michał Koziarski
Michał Koziarski
Verified email at agh.edu.pl
Title
Cited by
Cited by
Year
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
1022017
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
252017
Radial-Based Oversampling for noisy imbalanced data classification
M Koziarski, B Krawczyk, M Woźniak
Neurocomputing 343, 19-33, 2019
202019
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
142018
Radial-based approach to imbalanced data oversampling
M Koziarski, B Krawczyk, M Woźniak
International Conference on Hybrid Artificial Intelligence Systems, 318-327, 2017
122017
Radial-Based Oversampling for multiclass imbalanced data classification
B Krawczyk, M Koziarski, M Woźniak
IEEE transactions on neural networks and learning systems, 2019
112019
Deep neural image denoising
M Koziarski, B Cyganek
International Conference on Computer Vision and Graphics, 163-173, 2016
102016
Radial-Based Undersampling for imbalanced data classification
M Koziarski
Pattern Recognition 102, 107262, 2020
92020
The deterministic subspace method for constructing classifier ensembles
M Koziarski, B Krawczyk, M Woźniak
Pattern Analysis and Applications 20 (4), 981-990, 2017
82017
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
72018
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
52018
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
42019
Analysis of group evolution prediction in complex networks
S Saganowski, P Bródka, M Koziarski, P Kazienko
PloS one 14 (10), e0224194, 2019
32019
CSMOUTE: Combined Synthetic Oversampling and Undersampling Technique for Imbalanced Data Classification
M Koziarski
arXiv preprint arXiv:2004.03409, 2020
22020
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
22019
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
22016
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
12020
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
12019
Forming classifier ensembles with deterministic feature subspaces
M Koziarski, B Krawczyk, M Woźniak
2016 Federated Conference on Computer Science and Information Systems …, 2016
12016
Two-Stage Resampling for Convolutional Neural Network Training in the Imbalanced Colorectal Cancer Image Classification
M Koziarski
arXiv preprint arXiv:2004.03332, 2020
2020
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