Combinatorial Summation Primes: a Discussion of Different Methods to Solve the Problem. - Kamil Ksiazek; Zbigniew Marszalek (SYSTEM, 2016)

Available Bandwidth Estimation in Smart VPN Bonding Technique based on a NARX Neural Network. - Giacomo Capizzi; Grazia Lo Sciuto; Francesco Beritelli; Francesco Scaglione; Dawid Polap; Kamil Ksiazek; Marcin Wozniak (FedCSIS, 2017)

Radiation heat transfer optimization by the use of modified ant lion optimizer. - Kamil Ksiazek; Dawid Polap; Marcin Wozniak; Robertas Damasevicius (SSCI, 2017)

First approach to solve linear system of equations by using ant colony optimization. - Kamil Ksiazek (SYSTEM, 2017)

Obstacle Detection as a Safety Alert in Augmented Reality Models by the Use of Deep Learning Techniques. - Dawid Polap; Karolina Kesik; Kamil Ksiazek; Marcin Wozniak (Sensors, 2017)

The impact of parallel programming on faster image filtering. - Kamil Ksiazek; Zbigniew Marszalek; Giacomo Capizzi; Christian Napoli 001; Dawid Polap; Marcin Wozniak (FedCSIS, 2018)

Weight Based Algorithms to Increase the Playability in 2D Games. - Alicja Winnicka; Karolina Kesik; Kalina Serwata; Kamil Ksiazek (SYSTEM, 2018)

Heat production optimization using bio-inspired algorithms. - Marcin Wozniak; Kamil Ksiazek; Jakub Marciniec; Dawid Polap (Eng. Appl. Artif. Intell., 2018)

How to Extract Interesting Information for Identity Verification Process from Spectrograms? - Kamil Ksiazek; Karolina Kesik; Zbigniew Marszalek (J. Univers. Comput. Sci., 2018)

Aggregation of GPS, WLAN, and BLE Localization Measurements for Mobile Devices in Simulated Environments. - Kamil Ksiazek; Krzysztof Grochla (Sensors, 2019)

On transient queue-size distribution in a finite-buffer model with threshold waking and early setup policy. - Wojciech M. Kempa; Kamil Ksiazek (Perform. Evaluation, 2020)

Blood Stain Classification with Hyperspectral Imaging and Deep Neural Networks. - Kamil Ksiazek; Michal Romaszewski; Przemyslaw Glomb; Bartosz Grabowski; Michal Cholewa (Sensors, 2020)

Flexibility Analysis of Adaptive Data Rate Algorithm in LoRa Networks. - Kamil Ksiazek; Krzysztof Grochla (IWCMC, 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. - Wojciech M. Kempa; Kamil Ksiazek; Rafal Marjasz (IEEE Access, 2021)

Hard hat wearing detection based on head keypoint localization. - Bartosz Wójcik; Mateusz Zarski; Kamil Ksiazek; Jaroslaw Adam Miszczak; Miroslaw J. Skibniewski (CoRR, 2021)

Stable training of autoencoders for hyperspectral unmixing. - Kamil Ksiazek; Przemyslaw Glomb; Michal Romaszewski; Michal Cholewa; Bartosz Grabowski (CoRR, 2021)

Hyperspectral Classification of Blood-Like Substances Using Machine Learning Methods Combined with Genetic Algorithms in Transductive and Inductive Scenarios. - Filip Palka; Wojciech Ksiazek; Pawel Plawiak; Michal Romaszewski; Kamil Ksiazek (Sensors, 2021)

Improving Autoencoders Performance for Hyperspectral Unmixing Using Clustering. - Bartosz Grabowski; Przemyslaw Glomb; Kamil Ksiazek; Krisztián Búza (ACIIDS (Companion), 2022)

Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation. - Kamil Ksiazek; Przemyslaw Glomb; Michal Romaszewski; Michal Cholewa; Bartosz Grabowski; Krisztián Búza (ICIAP (1), 2022)

Finicky transfer learning - A method of pruning convolutional neural networks for cracks classification on edge devices. - Mateusz Zarski; Bartosz Wójcik; Kamil Ksiazek; Jaroslaw Adam Miszczak (Comput. Aided Civ. Infrastructure Eng., 2022)

Energy-Aware Algorithm for Assignment of Relays in LP WAN. - Krzysztof Grochla; Anna Strzoda; Rafal Marjasz; Przemyslaw Glomb; Kamil Ksiazek; Zbigniew Laskarzewski (ACM Trans. Sens. Networks, 2022)

A Simple and Effective Classifier for the Detection of Schizophrenia and Bipolar Disorder based on Heart Rate Variability Time Series. - Krisztián Búza; Kamil Ksiazek; Wilhelm Masarczyk; Przemyslaw Glomb; Piotr Gorczyca; Magdalena Piegza (ITAT, 2023)

Assessment of symptom severity in psychotic disorder patients based on heart rate variability and accelerometer mobility data. - Kamil Ksiazek; Wilhelm Masarczyk; Przemyslaw Glomb; Michal Romaszewski; Iga Stoklosa; Piotr Scislo; Pawel Debski; Robert Pudlo; Krisztián Búza; Piotr Gorczyca; Magdalena Piegza (Comput. Biol. Medicine, 2024)

HyperInterval: Hypernetwork approach to training weight interval regions in continual learning. - Patryk Krukowski; Anna Bielawska; Kamil Ksiazek; Pawel Wawrzynski; Pawel Batorski; Przemyslaw Spurek (CoRR, 2024)

HINT: Hypernetwork approach to training weight interval regions in continual learning. - Patryk Krukowski; Anna Bielawska; Kamil Ksiazek; Pawel Wawrzynski; Pawel Batorski; Przemyslaw Spurek (Inf. Sci., 2025)

HyperMask: Adaptive hypernetwork-based masks for continual learning. - Kamil Ksiazek; Przemyslaw Spurek (Neural Networks, 2025)

SEMU: Singular Value Decomposition for Efficient Machine Unlearning. - Marcin Sendera; Lukasz Struski; Kamil Ksiazek; Kryspin Musiol; Jacek Tabor; Dawid Rymarczyk (CoRR, 2025)

HyConEx: Hypernetwork classifier with counterfactual explanations. - Patryk Marszalek; Ulvi Movsum-zada; Oleksii Furman; Kamil Ksiazek; Przemyslaw Spurek; Marek Smieja (CoRR, 2025)

FeNeC: Enhancing Continual Learning via Feature Clustering with Neighbor- or Logit-Based Classification. - Kamil Ksiazek; Hubert Jastrzebski; Bartosz Trojan; Krzysztof Pniaczek; Michal Karp; Jacek Tabor (CoRR, 2025)

SHIELD: Secure Hypernetworks for Incremental Expansion Learning Defense. - Patryk Krukowski; Lukasz Gorczyca; Piotr Helm; Kamil Ksiazek; Przemyslaw Spurek (CoRR, 2025)