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Michał Koziarski
Michał Koziarski
The Hospital for Sick Children; Vector Institute
Preverjeni e-poštni naslov na sickkids.ca
Naslov
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Leto
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
1982017
Radial-based undersampling for imbalanced data classification
M Koziarski
Pattern Recognition 102, 107262, 2020
1842020
Radial-Based Oversampling for noisy imbalanced data classification
M Koziarski, B Krawczyk, M Woźniak
Neurocomputing 343, 19-33, 2019
1502019
Combined cleaning and resampling algorithm for multi-class imbalanced data with label noise
M Koziarski, M Woźniak, B Krawczyk
Knowledge-Based Systems 204, 106223, 2020
1412020
Radial-Based Oversampling for multiclass imbalanced data classification
B Krawczyk, M Koziarski, M Woźniak
IEEE Transactions on Neural Networks and Learning Systems, 2019
1192019
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
1152017
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
1132018
CSMOUTE: Combined synthetic oversampling and undersampling technique for imbalanced data classification
M Koziarski
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
542021
Potential anchoring for imbalanced data classification
M Koziarski
Pattern Recognition 120, 108114, 2021
382021
Radial-based approach to imbalanced data oversampling
M Koziarski, B Krawczyk, M Woźniak
Hybrid Artificial Intelligent Systems: 12th International Conference, HAIS …, 2017
322017
DiagSet: a dataset for prostate cancer histopathological image classification
M Koziarski, B Cyganek, P Niedziela, B Olborski, Z Antosz, M Żydak, ...
Scientific Reports 14 (1), 6780, 2024
312024
Towards foundational models for molecular learning on large-scale multi-task datasets
D Beaini, S Huang, JA Cunha, Z Li, G Moisescu-Pareja, O Dymov, ...
ICLR 2024, 2023
312023
The deterministic subspace method for constructing classifier ensembles
M Koziarski, B Krawczyk, M Woźniak
Pattern Analysis and Applications 20, 981-990, 2017
222017
Multicriteria classifier ensemble learning for imbalanced data
W Węgier, M Koziarski, M Woźniak
IEEE Access 10, 16807-16818, 2022
212022
RB-CCR: radial-based combined cleaning and resampling algorithm for imbalanced data classification
M Koziarski, C Bellinger, M Woźniak
Machine Learning 110, 3059-3093, 2021
202021
Analysis of group evolution prediction in complex networks
S Saganowski, P Bródka, M Koziarski, P Kazienko
PloS one 14 (10), e0224194, 2019
202019
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, ...
Artificial Neural Networks and Machine Learning–ICANN 2019: Workshop and …, 2019
182019
Convolutional neural network-based classification of histopathological images affected by data imbalance
M Koziarski, B Kwolek, B Cyganek
International Conference on Pattern Recognition (ICPR), Workshop on Deep …, 2018
182018
Two-stage resampling for convolutional neural network training in the imbalanced colorectal cancer image classification
M Koziarski
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
172021
Marine snow removal using a fully convolutional 3D neural network combined with an adaptive median filter
M Koziarski, B Cyganek
International Conference on Pattern Recognition (ICPR), Workshop on Computer …, 2019
172019
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