Michal Koziarski

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 46

Top Topics

Imbalanced Data Classification

Imbalanced Data

Histograms Of Oriented Gradients

Classifier Ensemble

Top Venues

Int. J. Appl. Math. Comput. Sci.

Pattern Recognit.

Publications

Michal Koziarski, Andrei Rekesh, Dmytro Shevchuk, Almer van der Sloot, Piotr Gainski, Yoshua Bengio, Cheng-Hao Liu, Mike Tyers, Robert A. Batey
RGFN: Synthesizable Molecular Generation Using GFlowNets. CoRR (2024)
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, Callum McLean, Frederik Wenkel, Luis Müller, Jama Hussein Mohamud, Ali Parviz, Michael Craig, Michal Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Mirco Ravanelli, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew W. Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets. ICLR (2024)
Michal Koziarski, Mohammed Abukalam, Vedant Shah, Louis Vaillancourt, Doris Alexandra Schuetz, Moksh Jain, Almer van der Sloot, Mathieu Bourgey, Anne Marinier, Yoshua Bengio
Towards DNA-Encoded Library Generation with GFlowNets. CoRR (2024)
Piotr Gainski, Michal Koziarski, Krzysztof Maziarz, Marwin H. S. Segler, Jacek Tabor, Marek Smieja
RetroGFN: Diverse and Feasible Retrosynthesis using GFlowNets. CoRR (2024)
Weronika Wegier, Michal Koziarski, Michal Wozniak
Optimized hybrid imbalanced data sampling for decision tree training. GECCO Companion (2023)
Alexandra Volokhova, Michal Koziarski, Alex Hernández-García, Cheng-Hao Liu, Santiago Miret, Pablo Lemos, Luca A. Thiede, Zichao Yan, Alán Aspuru-Guzik, Yoshua Bengio
Towards equilibrium molecular conformation generation with GFlowNets. CoRR (2023)
Alex Hernández-García, Alexandre Duval, Alexandra Volokhova, Yoshua Bengio, Divya Sharma, Pierre Luc Carrier, Michal Koziarski, Victor Schmidt
Crystal-GFN: sampling crystals with desirable properties and constraints. CoRR (2023)
Piotr Gainski, Michal Koziarski, Jacek Tabor, Marek Smieja
ChiENN: Embracing Molecular Chirality with Graph Neural Networks. CoRR (2023)
Piotr Gainski, Michal Koziarski, Jacek Tabor, Marek Smieja
ChiENN: Embracing Molecular Chirality with Graph Neural Networks. ECML/PKDD (3) (2023)
Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, Callum McLean, Frederik Wenkel, Luis Müller, Jama Hussein Mohamud, Ali Parviz, Michael Craig, Michal Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Ioannis Koutis, Mirco Ravanelli, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew W. Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets. CoRR (2023)
Weronika Wegier, Michal Koziarski, Michal Wozniak
Multicriteria Classifier Ensemble Learning for Imbalanced Data. IEEE Access 10 (2022)
Michal Koziarski
CSMOUTE: Combined Synthetic Oversampling and Undersampling Technique for Imbalanced Data Classification. IJCNN (2021)
Michal Koziarski, Colin Bellinger, Michal Wozniak
RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification. DSAA (2021)
Michal Koziarski
Imbalanced data preprocessing techniques utilizing local data characteristics. CoRR (2021)
Michal Koziarski
Potential Anchoring for imbalanced data classification. CoRR (2021)
Michal Koziarski
Potential Anchoring for imbalanced data classification. Pattern Recognit. 120 (2021)
Michal Koziarski, Boguslaw Cyganek, Boguslaw Olborski, Zbigniew Antosz, Marcin Zydak, Bogdan Kwolek, Pawel Wasowicz, Andrzej Bukala, Jakub Swadzba, Piotr Sitkowski
DiagSet: a dataset for prostate cancer histopathological image classification. CoRR (2021)
Michal Koziarski, Colin Bellinger, Michal Wozniak
RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification. Mach. Learn. 110 (11) (2021)
Michal Koziarski, Colin Bellinger, Michal Wozniak
RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification. CoRR (2021)
Michal Koziarski
Two-Stage Resampling for Convolutional Neural Network Training in the Imbalanced Colorectal Cancer Image Classification. IJCNN (2021)
Andrzej Bukala, Boguslaw Cyganek, Michal Koziarski, Bogdan Kwolek, Boguslaw Olborski, Zbigniew Antosz, Jakub Swadzba, Piotr Sitkowski
Classification of Histopathological Images using Scale-Invariant Feature Transform. VISIGRAPP (5: VISAPP) (2020)
Michal Koziarski, Michal Wozniak, Bartosz Krawczyk
Combined Cleaning and Resampling Algorithm for Multi-Class Imbalanced Data with Label Noise. CoRR (2020)
Michal Koziarski
Radial-Based Undersampling for imbalanced data classification. Pattern Recognit. 102 (2020)
Michal Koziarski
CSMOUTE: Combined Synthetic Oversampling and Undersampling Technique for Imbalanced Data Classification. CoRR (2020)
Bartosz Krawczyk, Michal Koziarski, Michal Wozniak
Radial-Based Oversampling for Multiclass Imbalanced Data Classification. IEEE Trans. Neural Networks Learn. Syst. 31 (8) (2020)
Andrzej Bukala, Michal Koziarski, Boguslaw Cyganek, Osman Nuri Koç, Alperen Kara
A Study on Pattern Recognition with the Histograms of Oriented Gradients in Distorted and Noisy Images. J. Univers. Comput. Sci. 26 (4) (2020)
Michal Koziarski
Two-Stage Resampling for Convolutional Neural Network Training in the Imbalanced Colorectal Cancer Image Classification. CoRR (2020)
Michal Koziarski, Michal Wozniak, Bartosz Krawczyk
Combined Cleaning and Resampling algorithm for multi-class imbalanced data with label noise. Knowl. Based Syst. 204 (2020)
Michal Koziarski, Boguslaw Cyganek, Kazimierz Wiatr
The Choice of Feature Representation in Small-Scale MobileNet-Based Imbalanced Image Recognition. VISIGRAPP (4: VISAPP) (2020)
Andrzej Bukala, Michal Koziarski, Boguslaw Cyganek, Osman Nuri Koç, Alperen Kara
The Impact of Distortions on the Image Recognition with Histograms of Oriented Gradients. IP&C (2019)
Michal Koziarski, Bartosz Krawczyk, Michal Wozniak
Radial-Based oversampling for noisy imbalanced data classification. Neurocomputing 343 (2019)
Michal Koziarski
Radial-Based Undersampling for Imbalanced Data Classification. CoRR (2019)
Michal Koziarski
Radial-Based Undersampling Algorithm for Classification of Breast Cancer Histopathological Images Affected by Data Imbalance. CISP-BMEI (2019)
Bogdan Kwolek, Michal Koziarski, Andrzej Bukala, Zbigniew Antosz, Boguslaw Olborski, Pawel Wasowicz, Jakub Swadzba, Boguslaw Cyganek
Breast Cancer Classification on Histopathological Images Affected by Data Imbalance Using Active Learning and Deep Convolutional Neural Network. ICANN (Workshop) (2019)
Michal Koziarski, Boguslaw Cyganek
Impact of Low Resolution on Image Recognition with Deep Neural Networks: An Experimental Study. Int. J. Appl. Math. Comput. Sci. 28 (4) (2018)
Michal Koziarski, Boguslaw Cyganek
Marine Snow Removal Using a Fully Convolutional 3D Neural Network Combined with an Adaptive Median Filter. CVAUI/IWCF/MIPPSNA@ICPR (2018)
Wojciech Maleika, Michal Koziarski, Pawel Forczmanski
A Multiresolution Grid Structure Applied to Seafloor Shape Modeling. ISPRS Int. J. Geo Inf. 7 (3) (2018)
Michal Koziarski, Bogdan Kwolek, Boguslaw Cyganek
Convolutional Neural Network-Based Classification of Histopathological Images Affected by Data Imbalance. FFER/DLPR@ICPR (2018)
Michal Koziarski, Boguslaw Cyganek
Image recognition with deep neural networks in presence of noise - Dealing with and taking advantage of distortions. Integr. Comput. Aided Eng. 24 (4) (2017)
Michal Koziarski, Bartosz Krawczyk, Michal Wozniak
Radial-Based Approach to Imbalanced Data Oversampling. HAIS (2017)
Michal Koziarski, Bartosz Krawczyk, Michal Wozniak
The deterministic subspace method for constructing classifier ensembles. Pattern Anal. Appl. 20 (4) (2017)
Stanislaw Saganowski, Piotr Bródka, Michal Koziarski, Przemyslaw Kazienko
Analysis of group evolution prediction in complex networks. CoRR (2017)
Michal Koziarski, Michal Wozniak
CCR: A combined cleaning and resampling algorithm for imbalanced data classification. Int. J. Appl. Math. Comput. Sci. 27 (4) (2017)
Michal Koziarski, Boguslaw Cyganek
Examination of the Deep Neural Networks in Classification of Distorted Signals. ICAISC (2) (2016)
Michal Koziarski, Bartosz Krawczyk, Michal Wozniak
Forming Classifier Ensembles with Deterministic Feature Subspaces. FedCSIS (2016)
Michal Koziarski, Boguslaw Cyganek
Deep Neural Image Denoising. ICCVG (2016)