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ORCIDKamil Ksiazek
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2020 – today
- 2024
[j11]Kamil Ksiazek
, Wilhelm Masarczyk, Przemyslaw Glomb, Michal Romaszewski, Iga Stoklosa, Piotr Scislo, Pawel Debski, Robert Pudlo, Krisztián Búza, Piotr Gorczyca, Magdalena Piegza:
Assessment of symptom severity in psychotic disorder patients based on heart rate variability and accelerometer mobility data. Comput. Biol. Medicine 176: 108544 (2024)- [i5]Patryk Krukowski, Anna Bielawska, Kamil Ksiazek, Pawel Wawrzynski, Pawel Batorski, Przemyslaw Spurek:
HyperInterval: Hypernetwork approach to training weight interval regions in continual learning. CoRR abs/2405.15444 (2024) - 2023
- [c10]Krisztián Búza, Kamil Ksiazek, Wilhelm Masarczyk, Przemyslaw Glomb, Piotr Gorczyca, Magdalena Piegza:
A Simple and Effective Classifier for the Detection of Schizophrenia and Bipolar Disorder based on Heart Rate Variability Time Series. ITAT 2023: 217-222 - [i4]Kamil Ksiazek, Przemyslaw Spurek:
HyperMask: Adaptive Hypernetwork-based Masks for Continual Learning. CoRR abs/2310.00113 (2023) - 2022
- [j10]Mateusz Zarski, Bartosz Wójcik, Kamil Ksiazek, Jaroslaw Adam Miszczak:
Finicky transfer learning - A method of pruning convolutional neural networks for cracks classification on edge devices. Comput. Aided Civ. Infrastructure Eng. 37(4): 500-515 (2022) - [j9]Krzysztof Grochla, Anna Strzoda, Rafal Marjasz, Przemyslaw Glomb, Kamil Ksiazek, Zbigniew Laskarzewski:
Energy-Aware Algorithm for Assignment of Relays in LP WAN. ACM Trans. Sens. Networks 18(4): 60:1-60:23 (2022) - [c9]Bartosz Grabowski, Przemyslaw Glomb, Kamil Ksiazek, Krisztián Búza:
Improving Autoencoders Performance for Hyperspectral Unmixing Using Clustering. ACIIDS (Companion) 2022: 102-121 - [c8]Kamil Ksiazek, Przemyslaw Glomb, Michal Romaszewski, Michal Cholewa, Bartosz Grabowski, Krisztián Búza:
Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation. ICIAP (1) 2022: 391-403 - 2021
- [j8]Wojciech M. Kempa, Kamil Ksiazek, Rafal Marjasz:
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: 148374-148383 (2021) - [j7]Filip Palka, Wojciech Ksiazek, Pawel Plawiak, Michal Romaszewski, Kamil Ksiazek:
Hyperspectral Classification of Blood-Like Substances Using Machine Learning Methods Combined with Genetic Algorithms in Transductive and Inductive Scenarios. Sensors 21(7): 2293 (2021) - [c7]Kamil Ksiazek, Krzysztof Grochla:
Flexibility Analysis of Adaptive Data Rate Algorithm in LoRa Networks. IWCMC 2021: 1393-1398 - [i3]Bartosz Wójcik, Mateusz Zarski, Kamil Ksiazek, Jaroslaw Adam Miszczak, Miroslaw J. Skibniewski:
Hard hat wearing detection based on head keypoint localization. CoRR abs/2106.10944 (2021) - [i2]Kamil Ksiazek, Przemyslaw Glomb, Michal Romaszewski, Michal Cholewa, Bartosz Grabowski:
Stable training of autoencoders for hyperspectral unmixing. CoRR abs/2109.13748 (2021) - 2020
- [j6]Wojciech M. Kempa, Kamil Ksiazek:
On transient queue-size distribution in a finite-buffer model with threshold waking and early setup policy. Perform. Evaluation 140-141: 102107 (2020) - [j5]Kamil Ksiazek, Michal Romaszewski, Przemyslaw Glomb, Bartosz Grabowski, Michal Cholewa:
Blood Stain Classification with Hyperspectral Imaging and Deep Neural Networks. Sensors 20(22): 6666 (2020) - [i1]Filip Palka, Wojciech Ksiazek, Pawel Plawiak, Michal Romaszewski, Kamil Ksiazek:
Hyperspectral classification of blood-like substances using machine learning methods combined with genetic algorithms in transductive and inductive scenarios. CoRR abs/2011.02188 (2020)
2010 – 2019
- 2019
- [j4]Kamil Ksiazek, Krzysztof Grochla:
Aggregation of GPS, WLAN, and BLE Localization Measurements for Mobile Devices in Simulated Environments. Sensors 19(7): 1694 (2019) - 2018
- [j3]Marcin Wozniak, Kamil Ksiazek, Jakub Marciniec, Dawid Polap:
Heat production optimization using bio-inspired algorithms. Eng. Appl. Artif. Intell. 76: 185-201 (2018) - [j2]Kamil Ksiazek, Karolina Kesik, Zbigniew Marszalek:
How to Extract Interesting Information for Identity Verification Process from Spectrograms? J. Univers. Comput. Sci. 24(4): 444-459 (2018) - [c6]Kamil Ksiazek, Zbigniew Marszalek, Giacomo Capizzi, Christian Napoli, Dawid Polap, Marcin Wozniak:
The impact of parallel programming on faster image filtering. FedCSIS 2018: 545-550 - [c5]Alicja Winnicka, Karolina Kesik, Kalina Serwata, Kamil Ksiazek:
Weight Based Algorithms to Increase the Playability in 2D Games. SYSTEM 2018: 25-29 - 2017
- [j1]Dawid Polap, Karolina Kesik, Kamil Ksiazek, Marcin Wozniak:
Obstacle Detection as a Safety Alert in Augmented Reality Models by the Use of Deep Learning Techniques. Sensors 17(12): 2803 (2017) - [c4]Giacomo Capizzi, Grazia Lo Sciuto, Francesco Beritelli, Francesco Scaglione, Dawid Polap, Kamil Ksiazek, Marcin Wozniak:
Available Bandwidth Estimation in Smart VPN Bonding Technique based on a NARX Neural Network. FedCSIS 2017: 601-606 - [c3]Kamil Ksiazek, Dawid Polap, Marcin Wozniak, Robertas Damasevicius:
Radiation heat transfer optimization by the use of modified ant lion optimizer. SSCI 2017: 1-7 - [c2]Kamil Ksiazek:
First approach to solve linear system of equations by using ant colony optimization. SYSTEM 2017: 57-61 - 2016
- [c1]Kamil Ksiazek, Zbigniew Marszalek:
Combinatorial Summation Primes: a Discussion of Different Methods to Solve the Problem. SYSTEM 2016: 25-34
Coauthor Index
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