Przemysław Głomb
2026
- Varol A.; Kołodziej K.; Sobczak Ł.; Romaszewski M.; Głomb P.; Motlagh N.; Leino M.; Virkki J.; Enabling Cloud-Level Accuracy in Edge AI through IoT Data Preprocessing; arXiv preprint arXiv ; 2026
- Varol A.; Kołodziej K.; Sobczak Ł.; Romaszewski M.; Głomb P.; Motlagh N.; Leino M.; Virkki J.; Enabling Cloud-Level Accuracy in Edge AI through IoT Data Preprocessing; Submitted: IEEE Internet of Things Journal; 2026
- Zawadzka A.; Głomb P.; Architecture Matters: Gender Disparities in Automated Image Moderation; PP-RAI'2026: 7th Polish Conference on Artificial Intelligence; 2026
- Zawadzka A.; Żarski M.; Drejer K.; Głomb P.; Romaszewski M.; Cholewa M.; Map-Guided Cross-Training for Building Detection; Geoscience and Remote Sensing Letters; 2026
- Kołodziej K.; Cholewa M.; Głomb P.; Koral W.; Romaszewski M.; Efficient Numerical Calibration of Water Delivery Network Using Short-Burst Hydrant Trials; Journal of Water Resources Planning and Management - ASCE; 2026
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
- 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
- Kołodziej K.; Głomb P.; Zawadzka A.; Challenges associated with the integration of Large Multimodal Models for waste sorting; 6th Polish Conference on Artificial Intelligence (PP-RAI 2025); 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
- Gawron P.; Sadowski P.; Głomb P.; Gardas B.; Van Waveren M.; Forray C.; Pasero G.; Savinaud M.; Brunet P.; Faucoz O.; Puchała Z.; Pawela Ł.; What Could be Achieved with a Million Qubits Quantum Annealer in Remote Sensing?; IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium; 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
- Książek K.; Masarczyk W.; Głomb P.; Romaszewski M.; Stokłosa I.; Ścisło P.; Dębski P.; Pudlo R.; Buza K.; Gorczyca P.; Piegza M.; Assessment of symptom severity in psychotic disorder patients based on heart rate variability and accelerometer mobility data; Computers in Biology and Medicine; 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.; Romaszewski M.; Cholewa M.; Koral W.; Madej A.; Skrabski M.; Kołodziej K.; Machine Learning for Water Leak Detection and Localization in the WaterPrime Project; Wojciechowski A.(Ed.), Lipiński P.(Ed.)., Progress in Polish Artificial Intelligence Research 4, Seria: Monografie Politechniki Łódzkiej Nr. 2437, Wydawnictwo Politechniki Łódzkiej, Łódź 2023, ISBN 978-83-66741-92-8, doi: 10.34658/9788366741928.; 2023
- Gardas B.; Głomb P.; Sadowski P.; Puchała Z.; Jałowiecki K.; Pawela Ł.; Faucoz O.; Brunet P.; Gawron P.; Van Waveren M.; Savinaud M.; Pasero G.; Defonte V.; Hyper-Spectral Image Classification Using Adiabatic Quantum Computation; IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium; 2023
- Buza K.; Książek K.; Masarczyk W.; Głomb P.; Gorczyca P.; Piegza M.; A Simple and Effective Classifier for the Detection of Psychotic Disorders based on Heart Rate Variability Time Series; Information Technologies – Applications and Theory 2023; 2023
- Ciemięga A.; Maresz K.; Romaszewski M.; Głomb P.; Krupska-Wolas P.; Prusik K.; Hyperspectral Imaging as a Facile and Non-Destructive Method for Size Analysis of Gold Nanoparticles Deposited on Porous Materials; Particle & Particle Systems Characterization; 2023