Michał Koziarski
Akademia Górniczo-Hutnicza
H-index: 14
Europe-Poland
Top articles of Michał Koziarski
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Towards DNA-Encoded Library Generation with GFlowNets | arXiv preprint arXiv:2404.10094 | Yoshua Bengio Michał Koziarski Mohammed Abukalam Vedant Shah Louis Vaillancourt Doris Alexandra Schuetz | 2024/3/4 |
DiagSet: a dataset for prostate cancer histopathological image classification | Scientific Reports | Michał Koziarski Bogusław Cyganek Przemysław Niedziela Bogusław Olborski Zbigniew Antosz | 2024/3/21 |
Towards equilibrium molecular conformation generation with GFlowNets | arXiv preprint arXiv:2310.14782 | Alexandra Volokhova Michał Koziarski Alex Hernández-García Cheng-Hao Liu Santiago Miret | 2023/10/20 |
Crystal-GFN: sampling crystals with desirable properties and constraints | Alex Hernandez-Garcia Alexandre Duval Alexandra Volokhova Yoshua Bengio Divya Sharma | 2023/12/10 | |
Towards foundational models for molecular learning on large-scale multi-task datasets | arXiv preprint arXiv:2310.04292 | Dominique Beaini Shenyang Huang Joao Alex Cunha Gabriela Moisescu-Pareja Oleksandr Dymov | 2023/10/6 |
ChiENN: Embracing Molecular Chirality with Graph Neural Networks | Piotr Gaiński Michał Koziarski Jacek Tabor Marek Śmieja | 2023/9/17 | |
Optimized hybrid imbalanced data sampling for decision tree training | Weronika Węgier Michał Koziarski Michał Woźniak | 2023/7/15 | |
Multicriteria classifier ensemble learning for imbalanced data | IEEE Access | Weronika Węgier Michał Koziarski Michał Woźniak | 2022/2/7 |
RB-CCR: radial-based combined cleaning and resampling algorithm for imbalanced data classification | Machine Learning | Michał Koziarski Colin Bellinger Michał Woźniak | 2021/12 |
Potential anchoring for imbalanced data classification | Pattern recognition | Michał Koziarski | 2021/12/1 |
Imbalanced data preprocessing techniques utilizing local data characteristics | arXiv preprint arXiv:2111.14120 | Michał Koziarski | 2021/11/28 |
CSMOUTE: Combined synthetic oversampling and undersampling technique for imbalanced data classification | Michał Koziarski | 2021/7/18 | |
Two-stage resampling for convolutional neural network training in the imbalanced colorectal cancer image classification | Michał Koziarski | 2021/7/18 | |
Combined cleaning and resampling algorithm for multi-class imbalanced data with label noise | Knowledge-Based Systems | Michał Koziarski Michał Woźniak Bartosz Krawczyk | 2020/4/7 |
The impact of distortions on the image recognition with histograms of oriented gradients | Andrzej Bukała Michał Koziarski Bogusław Cyganek Osman Nuri Koc̨ Alperen Kara | 2020 | |
Radial-based undersampling for imbalanced data classification | Pattern Recognition | Michał Koziarski | 2020/6/1 |
Classification of Histopathological Images using Scale-Invariant Feature Transform | Andrzej Bukała Bogusław Cyganek Michał Koziarski Bogdan Kwolek Bogusław Olborski | 2022 | |
The Choice of Feature Representation in Small-Scale MobileNet-Based Imbalanced Image Recognition | Michal Koziarski Boguslaw Cyganek Kazimierz Wiatr | 2020 | |
A Study on Pattern Recognition with the Histograms of Oriented Gradients in Distorted and Noisy Images | Journal of Universal Computer Science | LM Koziarski Bogus Law Cyganek Osman Nuri Koç Alperen Kara | 2020 |
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