Kamil Książek

2025

Książek K.; Masarczyk W.; Głomb P.; Romaszewski M.; Buza K.; Sekuła P.; Cholewa M.; Kołodziej K.; Gorczyca P.; Piegza M.; Deep learning approach for automatic assessment of schizophrenia and bipolar disorder in patients using R-R intervals; PLOS Computational Biology; 2025

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

Wójcik B.; Żarski M.; Książek K.; Miszczak J.; Skibniewski M.; A deep learning method for hard-hat-wearing detection based on head center localization; Bulletin of the Polish Academy of Sciences Technical Sciences; 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
Książek K.; Masarczyk W.; Głomb P.; Romaszewski M.; Stokłosa I.; Ścisło P.; Dębski P.; Pudlo R.; Gorczyca P.; Piegza M.; HRV-ACC: a dataset with R-R intervals and accelerometer data for the diagnosis of psychotic disorders using a Polar H10 wearable sensor; 2023
Książek K.; Masarczyk W.; Głomb P.; Romaszewski M.; Stokłosa I.; Ścisło P.; Dębski P.; Pudlo R.; Buza K.; Gorczyca P.; Piegza M.; The analysis of heart rate variability and accelerometer mobility data in the assessment of symptom severity in psychotic disorder patients using a wearable Polar H10 sensor; medXriv; 2023

2022

Grabowski B.; Głomb P.; Książek K.; Buza K.; Improving Autoencoders Performance for Hyperspectral Unmixing Using Clustering; Asian Conference on Intelligent Information and Database Systems; 2022
Grochla K.; Strzoda A.; Marjasz R.; Głomb P.; Książek K.; Łaskarzewski Z.; Energy-Aware Algorithm for Assignment of Relays in LPWAN; Transactions on Sensor Networks; 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

Książek K.; Buza K.; A hybrid CNN-SVM approach with dynamic time warping for time series classification; 8th International Conference on Mathematics and Informatics; 2021
Żarski M.; Wójcik B.; Książek K.; Salamak M.; Miszczak J.; Advances in applicable deep-learning based defect detection; 2nd Workshop on Engineering Optimization – WEO 2021; 2021
Kempa W.; Książek K.; Marjasz R.; On Time-Dependent Queue-Size Distribution in a Model With Finite Buffer Capacity and Deterministic Multiple Vacations With Applications to LTE DRX Mechanism Modeling; IEEE Access; 2021
Żarski M.; Wójcik B.; Książek K.; Miszczak J.; Finicky transfer learning—A method of pruning convolutional neural networks for cracks classification on edge devices; Computer-Aided Civil And Infrastructure Engineering; 2021
Książek K.; Grochla K.; Flexibility Analysis of Adaptive Data Rate Algorithm in LoRa Networks; IEEE IWCMC 2021 - 17th Int. Wireless Communications & Mobile Computing Conference; 2021
Pałka F.; Książek W.; Plawiak P.; Romaszewski M.; Książek K.; Hyperspectral Classification of Blood-Like Substances Using Machine Learning Methods Combined with Genetic Algorithms in Transductive and Inductive Scenarios; Sensors; 2021

2020

Książek K.; Romaszewski M.; Głomb P.; Grabowski B.; Cholewa M.; Blood Stain Classification with Hyperspectral Imaging and Deep Neural Networks; Sensors; 2020
Kempa W.; Książek K.; On transient queue-size distribution in a finite-buffer model with threshold waking and early setup policy; Performance Evaluation; 2020

2019

Książek K.; Grochla K.; Aggregation of GPS, WLAN, and BLE Localization Measurements for Mobile Devices in Simulated Environments; Sensors; 2019

Książek K.; Spurek P.; HyperMask: Adaptive Hypernetwork-based Masks for Continual Learning; Submitted