Michal Koziarski

According to our database, Michal Koziarski authored at least 34 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Towards equilibrium molecular conformation generation with GFlowNets.

Alexandra Volokhova, Michal Koziarski, Alex Hernández-García, Cheng-Hao Liu, Santiago Miret, Pablo Lemos, Luca A. Thiede, Zichao Yan, Alán Aspuru-Guzik, Yoshua Bengio

CoRR, 2023

Crystal-GFN: sampling crystals with desirable properties and constraints.

Alex Hernández-García, Alexandre Duval, Alexandra Volokhova, Yoshua Bengio, Divya Sharma, Pierre Luc Carrier, Michal Koziarski, Victor Schmidt

CoRR, 2023

Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets.

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

CoRR, 2023

ChiENN: Embracing Molecular Chirality with Graph Neural Networks.

Piotr Gainski, Michal Koziarski, Jacek Tabor, Marek Smieja

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Optimized hybrid imbalanced data sampling for decision tree training.

Weronika Wegier, Michal Koziarski, Michal Wozniak

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022

Multicriteria Classifier Ensemble Learning for Imbalanced Data.

Weronika Wegier, Michal Koziarski, Michal Wozniak

IEEE Access, 2022

2021

Potential Anchoring for imbalanced data classification.

Michal Koziarski

Pattern Recognit., 2021

RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification.

Michal Koziarski, Colin Bellinger, Michal Wozniak

Mach. Learn., 2021

Imbalanced data preprocessing techniques utilizing local data characteristics.

Michal Koziarski

CoRR, 2021

DiagSet: a dataset for prostate cancer histopathological image classification.

Michal Koziarski, Boguslaw Cyganek, Boguslaw Olborski, Zbigniew Antosz, Marcin Zydak, Bogdan Kwolek, Pawel Wasowicz, Andrzej Bukala, Jakub Swadzba, Piotr Sitkowski

CoRR, 2021

Two-Stage Resampling for Convolutional Neural Network Training in the Imbalanced Colorectal Cancer Image Classification.

Michal Koziarski

Proceedings of the International Joint Conference on Neural Networks, 2021

CSMOUTE: Combined Synthetic Oversampling and Undersampling Technique for Imbalanced Data Classification.

Michal Koziarski

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Radial-Based Oversampling for Multiclass Imbalanced Data Classification.

Bartosz Krawczyk, Michal Koziarski, Michal Wozniak

IEEE Trans. Neural Networks Learn. Syst., 2020

Radial-Based Undersampling for imbalanced data classification.

Michal Koziarski

Pattern Recognit., 2020

Combined Cleaning and Resampling algorithm for multi-class imbalanced data with label noise.

Michal Koziarski, Michal Wozniak, Bartosz Krawczyk

Knowl. Based Syst., 2020

A Study on Pattern Recognition with the Histograms of Oriented Gradients in Distorted and Noisy Images.

Andrzej Bukala, Michal Koziarski, Boguslaw Cyganek, Osman Nuri Koç, Alperen Kara

J. Univers. Comput. Sci., 2020

The Choice of Feature Representation in Small-Scale MobileNet-Based Imbalanced Image Recognition.

Michal Koziarski, Boguslaw Cyganek, Kazimierz Wiatr

Proceedings of the 15th International Joint Conference on Computer Vision, 2020

Classification of Histopathological Images using Scale-Invariant Feature Transform.

Andrzej Bukala, Boguslaw Cyganek, Michal Koziarski, Bogdan Kwolek, Boguslaw Olborski, Zbigniew Antosz, Jakub Swadzba, Piotr Sitkowski

Proceedings of the 15th International Joint Conference on Computer Vision, 2020

2019

Radial-Based oversampling for noisy imbalanced data classification.

Michal Koziarski, Bartosz Krawczyk, Michal Wozniak

Neurocomputing, 2019

The Impact of Distortions on the Image Recognition with Histograms of Oriented Gradients.

Andrzej Bukala, Michal Koziarski, Boguslaw Cyganek, Osman Nuri Koç, Alperen Kara

Proceedings of the Image Processing and Communications, 2019

Breast Cancer Classification on Histopathological Images Affected by Data Imbalance Using Active Learning and Deep Convolutional Neural Network.

Bogdan Kwolek, Michal Koziarski, Andrzej Bukala, Zbigniew Antosz, Boguslaw Olborski, Pawel Wasowicz, Jakub Swadzba, Boguslaw Cyganek

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

Radial-Based Undersampling Algorithm for Classification of Breast Cancer Histopathological Images Affected by Data Imbalance.

Michal Koziarski

Proceedings of the 12th International Congress on Image and Signal Processing, 2019

2018

A Multiresolution Grid Structure Applied to Seafloor Shape Modeling.

Wojciech Maleika, Michal Koziarski, Pawel Forczmanski

ISPRS Int. J. Geo Inf., 2018

Impact of Low Resolution on Image Recognition with Deep Neural Networks: An Experimental Study.

Michal Koziarski, Boguslaw Cyganek

Int. J. Appl. Math. Comput. Sci., 2018

Convolutional Neural Network-Based Classification of Histopathological Images Affected by Data Imbalance.

Michal Koziarski, Bogdan Kwolek, Boguslaw Cyganek

Proceedings of the Video Analytics. Face and Facial Expression Recognition, 2018

Marine Snow Removal Using a Fully Convolutional 3D Neural Network Combined with an Adaptive Median Filter.

Michal Koziarski, Boguslaw Cyganek

Proceedings of the Pattern Recognition and Information Forensics, 2018

2017

The deterministic subspace method for constructing classifier ensembles.

Michal Koziarski, Bartosz Krawczyk, Michal Wozniak

Pattern Anal. Appl., 2017

Image recognition with deep neural networks in presence of noise - Dealing with and taking advantage of distortions.

Michal Koziarski, Boguslaw Cyganek

Integr. Comput. Aided Eng., 2017

Analysis of group evolution prediction in complex networks.

Stanislaw Saganowski, Piotr Bródka, Michal Koziarski, Przemyslaw Kazienko

CoRR, 2017

CCR: A combined cleaning and resampling algorithm for imbalanced data classification.

Michal Koziarski, Michal Wozniak

Int. J. Appl. Math. Comput. Sci., 2017

Radial-Based Approach to Imbalanced Data Oversampling.

Michal Koziarski, Bartosz Krawczyk, Michal Wozniak

Proceedings of the Hybrid Artificial Intelligent Systems - 12th International Conference, 2017

2016

Deep Neural Image Denoising.

Michal Koziarski, Boguslaw Cyganek

Proceedings of the Computer Vision and Graphics - International Conference, 2016

Examination of the Deep Neural Networks in Classification of Distorted Signals.

Michal Koziarski, Boguslaw Cyganek

Proceedings of the Artificial Intelligence and Soft Computing, 2016

Forming Classifier Ensembles with Deterministic Feature Subspaces.

Michal Koziarski, Bartosz Krawczyk, Michal Wozniak

Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016