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

Książek K.  2024.  Assessment of symptom severity in psychotic disorder patients based on heart rate variability and accelerometer mobility data. Computers in Biology and Medicine. 176

Książek K, Masarczyk W, Głomb P, Romaszewski M, Stokłosa I, Ścisło P, Dębski P, Pudlo R, Buza K, Gorczyca P et al..  2023.  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.

Wójcik B, Żarski M, Książek K, Miszczak J, Skibniewski MJ.  2023.  A deep learning method for hard-hat-wearing detection based on head center localization. Bulletin of the Polish Academy of Sciences Technical Sciences. 71 (EA)(6)

Książek K, Masarczyk W, Głomb P, Romaszewski M, Stokłosa I, Ścisło P, Dębski P, Pudlo R, Gorczyca P, Piegza M.  2023.  HRV-ACC: a dataset with R-R intervals and accelerometer data for the diagnosis of psychotic disorders using a Polar H10 wearable sensor.

Buza K, Książek K, Masarczyk W, Głomb P, Gorczyca P, Piegza M.  2023.  A Simple and Effective Classifier for the Detection of Psychotic Disorders based on Heart Rate Variability Time Series. Information Technologies – Applications and Theory 2023. 3498

Grochla K, Strzoda A, Marjasz R, Głomb P, Książek K, Łaskarzewski Z.  2022.  Energy-Aware Algorithm for Assignment of Relays in LPWAN. Transactions on Sensor Networks. 18(4)

Książek K, Głomb P, Romaszewski M, Cholewa M, Grabowski B, Buza K.  2022.  Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation. 21st International Conference on Image Analysis and Processing. 13231

Grabowski B, Głomb P, Książek K, Buza K.  2022.   Improving Autoencoders Performance for Hyperspectral Unmixing Using Clustering. Asian Conference on Intelligent Information and Database Systems. 1716

Żarski M, Wójcik B, Książek K, Salamak M, Miszczak J.  2021.  Advances in applicable deep-learning based defect detection. 2nd Workshop on Engineering Optimization – WEO 2021.  (377.77 KB)

Żarski M, Wójcik B, Książek K, Miszczak J.  2021.  Finicky transfer learning—A method of pruning convolutional neural networks for cracks classification on edge devices. Computer-Aided Civil And Infrastructure Engineering. 37(4)

Książek K, Grochla K.  2021.  Flexibility Analysis of Adaptive Data Rate Algorithm in LoRa Networks. IEEE IWCMC 2021 - 17th Int. Wireless Communications & Mobile Computing Conference.

Książek K, Buza K.  2021.  A hybrid CNN-SVM approach with dynamic time warping for time series classification. 8th International Conference on Mathematics and Informatics.

Pałka F, Książek W, Plawiak P, Romaszewski M, Książek K.  2021.  Hyperspectral Classification of Blood-Like Substances Using Machine Learning Methods Combined with Genetic Algorithms in Transductive and Inductive Scenarios. Sensors. 21

Kempa W.M, Książek K, Marjasz R.  2021.  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. 9

Książek K, Romaszewski M, Głomb P, Grabowski B, Cholewa M.  2020.  Blood Stain Classification with Hyperspectral Imaging and Deep Neural Networks. Sensors. 20(Recent Advances in Multi- and Hyperspectral Image Analysis)

Kempa WM, Książek K.  2020.  On transient queue-size distribution in a finite-buffer model with threshold waking and early setup policy. Performance Evaluation. 140-141

Książek K, Grochla K.  2019.  Aggregation of GPS, WLAN, and BLE Localization Measurements for Mobile Devices in Simulated Environments. Sensors. 19