dr Michał Cholewa
Wizytówka
dr
Michał
Cholewa
Status
pracownik instytutu
Stanowisko
adiunkt
Telefon
+48 32 2317319 w. 21
Orcid ID
Pokój
4
Publikacje
Opublikowane
2026
- Kołodziej K.; Cholewa M.; Głomb P.; Koral W.; Romaszewski M.; Efficient Numerical Calibration of Water Delivery Network Using Short-Burst Hydrant Trials; ASCE Journal of Water Resources Planning and Management; 2026
2025
- Zawadzka A.; Żarski M.; Drejer K.; Głomb P.; Romaszewski M.; Cholewa M.; Map-Guided Cross-Training for Building Detection; Geoscience and Remote Sensing Letters; 2025
- Cholewa M.; Romaszewski M.; Głomb P.; Data structure better than labels? Unsupervised heuristics for SVM hyperparameter estimation; Bulletin of the Polish Academy of Sciences Technical Sciences; 2025
- Sekuła P.; He Q.; Sadabadi K.; Moscosso R.; Jacobs T.; Laan Z.; Franz M.; Cholewa M.; Vehicle-to-Infrastructure System Prototype for Intersection Safety; Applied Sciences; 2025
- Sekuła P.; Shayesteh N.; He Q.; Zahedian S.; Moscosso R.; Cholewa M.; Move Over Law Compliance Analysis Utilizing a Deep Learning Computer Vision Approach; Applied Sciences; 2025
- Sekuła P.; Romaszewski M.; Głomb P.; Cholewa M.; Pawela Ł.; Quantum-aware Transformer model for state classification; International Conference on Computational Science 2025; 2025
- Romaszewski M.; Sekuła P.; Głomb P.; Cholewa M.; Kołodziej K.; Through the Thicket: A Study of Number-Oriented LLMS Derived from Random Forest Models; Journal of Artificial Intelligence and Soft Computing Research; 2025
2024
- Kołodziej K.; Cholewa M.; Romaszewski M.; Głomb P.; Koral W.; Sekuła P.; Calibration of Water Demand Network Through a Machine Learned Digital Twin Model; 5th Polish Conference on Artificial Intelligence (PP-RAI 2024); 2024
- Kołodziej K.; Cholewa M.; Głomb P.; Koral W.; Romaszewski M.; Efficient Numerical Calibration of Water Delivery Network Using Short-Burst Hydrant Trials; arXiv preprint arXiv:2410.02772; 2024
- Romaszewski M.; Sekuła P.; Głomb P.; Cholewa M.; Kołodziej K.; Through the Thicket: A Study of Number-Oriented LLMs derived from Random Forest Models; arXiv preprint arXiv:2406.04926; 2024
2023
- Głomb P.; Cholewa M.; Foszner P.; Bularz J.; Ganzha M.; Maciaszek L.; Paprzycki M.; Slezak D.; Continual learning of a time series model using a mixture of HMMs with application to the IoT fuel sensor verification; Proceedings of the 18th Conference on Computer Science and Intelligence Systems, FedCSIS 2023, Warsaw, Poland, September 17-20, 2023; 2023
- Głomb P.; Cholewa M.; Koral W.; Madej A.; Romaszewski M.; Detection of emergent leaks using machine learning approaches; Water Supply; 2023
2022
- Książek K.; Głomb P.; Romaszewski M.; Cholewa M.; Grabowski B.; Buza K.; Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation; 21st International Conference on Image Analysis and Processing; 2022
2021
- Romaszewski M.; Głomb P.; Sochan A.; Cholewa M.; A dataset for evaluating blood detection in hyperspectral images; Forensic Science International; 2021
2020
2019
- Cholewa M.; Głomb P.; Romaszewski M.; A Spatial-Spectral Disagreement-Based Sample Selection With an Application to Hyperspectral Data Classification; IEEE Geoscience and Remote Sensing Letters; 2019
2018
- Romaszewski M.; Głomb P.; Cholewa M.; Adaptive, Hubness-Aware Nearest Neighbour Classifier with Application to Hyperspectral Data; Computer and Information Sciences; 2018
- Głomb P.; Romaszewski M.; Cholewa M.; Domino K.; Application of hyperspectral imaging and Machine Learning methods for the detection of gunshot residue patterns; Forensic Science International; 2018
2017
- Cholewa M.; Gawron P.; Głomb P.; Kurzyk D.; Quantum hidden Markov models based on transition operation matrices; Quantum Information Processing; 2017
2016
- Głomb P.; Cholewa M.; Performance of Interest Point Descriptors on Hyperspectral Images; Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP; 2016