Michal Koziarski
Orcid: 0000-0001-7707-9640
According to our database1,
Michal Koziarski
authored at least 41 papers
between 2016 and 2024.
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Bibliography
2024
Mach. Learn., October, 2024
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets.
CoRR, 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
2022
2021
RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification.
Mach. Learn., 2021
CoRR, 2021
CoRR, 2021
Two-Stage Resampling for Convolutional Neural Network Training in the Imbalanced Colorectal Cancer Image Classification.
Proceedings of the International Joint Conference on Neural Networks, 2021
CSMOUTE: Combined Synthetic Oversampling and Undersampling Technique for Imbalanced Data Classification.
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
IEEE Trans. Neural Networks Learn. Syst., 2020
Pattern Recognit., 2020
Combined Cleaning and Resampling algorithm for multi-class imbalanced data with label noise.
Knowl. Based Syst., 2020
A Study on Pattern Recognition with the Histograms of Oriented Gradients in Distorted and Noisy Images.
J. Univers. Comput. Sci., 2020
The Choice of Feature Representation in Small-Scale MobileNet-Based Imbalanced Image Recognition.
Proceedings of the 15th International Joint Conference on Computer Vision, 2020
Proceedings of the 15th International Joint Conference on Computer Vision, 2020
2019
Neurocomputing, 2019
The Impact of Distortions on the Image Recognition with Histograms of Oriented Gradients.
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.
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.
Proceedings of the 12th International Congress on Image and Signal Processing, 2019
2018
ISPRS Int. J. Geo Inf., 2018
Impact of Low Resolution on Image Recognition with Deep Neural Networks: An Experimental Study.
Int. J. Appl. Math. Comput. Sci., 2018
Convolutional Neural Network-Based Classification of Histopathological Images Affected by Data Imbalance.
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.
Proceedings of the Pattern Recognition and Information Forensics, 2018
2017
Pattern Anal. Appl., 2017
Image recognition with deep neural networks in presence of noise - Dealing with and taking advantage of distortions.
Integr. Comput. Aided Eng., 2017
CCR: A combined cleaning and resampling algorithm for imbalanced data classification.
Int. J. Appl. Math. Comput. Sci., 2017
Proceedings of the Hybrid Artificial Intelligent Systems - 12th International Conference, 2017
2016
Proceedings of the Computer Vision and Graphics - International Conference, 2016
Proceedings of the Artificial Intelligence and Soft Computing, 2016
Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016