Kamil Ksiazek - RankMe

36 papers A* 1B 1C 2Journal 25Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FeNeC: Enhancing continual learning via feature clustering with neighbor- or logit-based classification. Knowl. Based Syst. Kamil Ksiazek, Hubert Jastrzebski, Krzysztof Pniaczek, Bartosz Trojan, Michal Karp, Jacek Tabor
2026	J	`jnl`	HyConEx: Hypernetwork classifier with counterfactual explanations for tabular data. Neurocomputing Patryk Marszalek, Kamil Ksiazek, Oleksii Furman, Ulvi Movsum-zada, Przemyslaw Spurek, Marek Smieja
2025	J	`jnl`	Deep learning approach for automatic assessment of schizophrenia and bipolar disorder in patients using R-R intervals. PLoS Comput. Biol. Kamil Ksiazek, Wilhelm Masarczyk, Przemyslaw Glomb, Michal Romaszewski, Krisztián Búza, Przemyslaw Sekula, Michal Cholewa, Katarzyna Kolodziej, Piotr Gorczyca, Magdalena Piegza
2025	J	`jnl`	FeNeC: Enhancing Continual Learning via Feature Clustering with Neighbor- or Logit-Based Classification. CoRR Kamil Ksiazek, Hubert Jastrzebski, Bartosz Trojan, Krzysztof Pniaczek, Michal Karp, Jacek Tabor
2025	J	`jnl`	HINT: Hypernetwork approach to training weight interval regions in continual learning. Inf. Sci. Patryk Krukowski, Anna Bielawska, Kamil Ksiazek, Pawel Wawrzynski, Pawel Batorski, Przemyslaw Spurek
2025	J	`jnl`	HyConEx: Hypernetwork classifier with counterfactual explanations. CoRR Patryk Marszalek, Ulvi Movsum-zada, Oleksii Furman, Kamil Ksiazek, Przemyslaw Spurek, Marek Smieja
2025	J	`jnl`	HyperMask: Adaptive hypernetwork-based masks for continual learning. Neural Networks Kamil Ksiazek, Przemyslaw Spurek
2025	A*	`conf`	SEMU: Singular Value Decomposition for Efficient Machine Unlearning. ICML Marcin Sendera, Lukasz Struski, Kamil Ksiazek, Kryspin Musiol, Jacek Tabor, Dawid Damian Rymarczyk
2025	J	`jnl`	SEMU: Singular Value Decomposition for Efficient Machine Unlearning. CoRR Marcin Sendera, Lukasz Struski, Kamil Ksiazek, Kryspin Musiol, Jacek Tabor, Dawid Rymarczyk
2025	J	`jnl`	SHIELD: Secure Hypernetworks for Incremental Expansion Learning Defense. CoRR Patryk Krukowski, Lukasz Gorczyca, Piotr Helm, Kamil Ksiazek, Przemyslaw Spurek
2024	J	`jnl`	Assessment of symptom severity in psychotic disorder patients based on heart rate variability and accelerometer mobility data. Comput. Biol. Medicine Kamil Ksiazek, Wilhelm Masarczyk, Przemyslaw Glomb, Michal Romaszewski, Iga Stoklosa, Piotr Scislo, Pawel Debski, Robert Pudlo, Krisztián Búza, Piotr Gorczyca, Magdalena Piegza
2024	J	`jnl`	HyperInterval: Hypernetwork approach to training weight interval regions in continual learning. CoRR Patryk Krukowski, Anna Bielawska, Kamil Ksiazek, Pawel Wawrzynski, Pawel Batorski, Przemyslaw Spurek
2023	—	`conf`	A Simple and Effective Classifier for the Detection of Schizophrenia and Bipolar Disorder based on Heart Rate Variability Time Series. ITAT Krisztián Búza, Kamil Ksiazek, Wilhelm Masarczyk, Przemyslaw Glomb, Piotr Gorczyca, Magdalena Piegza
2023	J	`jnl`	HyperMask: Adaptive Hypernetwork-based Masks for Continual Learning. CoRR Kamil Ksiazek, Przemyslaw Spurek
2022	J	`jnl`	Energy-Aware Algorithm for Assignment of Relays in LP WAN. ACM Trans. Sens. Networks Krzysztof Grochla, Anna Strzoda, Rafal Marjasz, Przemyslaw Glomb, Kamil Ksiazek, Zbigniew Laskarzewski
2022	J	`jnl`	Finicky transfer learning - A method of pruning convolutional neural networks for cracks classification on edge devices. Comput. Aided Civ. Infrastructure Eng. Mateusz Zarski, Bartosz Wójcik, Kamil Ksiazek, Jaroslaw Adam Miszczak
2022	—	`conf`	Improving Autoencoder Training Performance for Hyperspectral Unmixing with Network Reinitialisation. ICIAP (1) Kamil Ksiazek, Przemyslaw Glomb, Michal Romaszewski, Michal Cholewa, Bartosz Grabowski, Krisztián Búza
2022	—	`conf`	Improving Autoencoders Performance for Hyperspectral Unmixing Using Clustering. ACIIDS (Companion) Bartosz Grabowski, Przemyslaw Glomb, Kamil Ksiazek, Krisztián Búza
2021	B	`conf`	Flexibility Analysis of Adaptive Data Rate Algorithm in LoRa Networks. IWCMC Kamil Ksiazek, Krzysztof Grochla
2021	J	`jnl`	Hard hat wearing detection based on head keypoint localization. CoRR Bartosz Wójcik, Mateusz Zarski, Kamil Ksiazek, Jaroslaw Adam Miszczak, Miroslaw J. Skibniewski
2021	J	`jnl`	Hyperspectral Classification of Blood-Like Substances Using Machine Learning Methods Combined with Genetic Algorithms in Transductive and Inductive Scenarios. Sensors Filip Palka, Wojciech Ksiazek, Pawel Plawiak, Michal Romaszewski, Kamil Ksiazek
2021	J	`jnl`	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 Wojciech M. Kempa, Kamil Ksiazek, Rafal Marjasz
2021	J	`jnl`	Stable training of autoencoders for hyperspectral unmixing. CoRR Kamil Ksiazek, Przemyslaw Glomb, Michal Romaszewski, Michal Cholewa, Bartosz Grabowski
2020	J	`jnl`	Blood Stain Classification with Hyperspectral Imaging and Deep Neural Networks. Sensors Kamil Ksiazek, Michal Romaszewski, Przemyslaw Glomb, Bartosz Grabowski, Michal Cholewa
2020	J	`jnl`	Hyperspectral classification of blood-like substances using machine learning methods combined with genetic algorithms in transductive and inductive scenarios. CoRR Filip Palka, Wojciech Ksiazek, Pawel Plawiak, Michal Romaszewski, Kamil Ksiazek
2020	J	`jnl`	On transient queue-size distribution in a finite-buffer model with threshold waking and early setup policy. Perform. Evaluation Wojciech M. Kempa, Kamil Ksiazek
2019	J	`jnl`	Aggregation of GPS, WLAN, and BLE Localization Measurements for Mobile Devices in Simulated Environments. Sensors Kamil Ksiazek, Krzysztof Grochla
2018	J	`jnl`	Heat production optimization using bio-inspired algorithms. Eng. Appl. Artif. Intell. Marcin Wozniak, Kamil Ksiazek, Jakub Marciniec, Dawid Polap
2018	J	`jnl`	How to Extract Interesting Information for Identity Verification Process from Spectrograms? J. Univers. Comput. Sci. Kamil Ksiazek, Karolina Kesik, Zbigniew Marszalek
2018	C	`conf`	The impact of parallel programming on faster image filtering. FedCSIS Kamil Ksiazek, Zbigniew Marszalek, Giacomo Capizzi, Christian Napoli, Dawid Polap, Marcin Wozniak
2018	—	`conf`	Weight Based Algorithms to Increase the Playability in 2D Games. SYSTEM Alicja Winnicka, Karolina Kesik, Kalina Serwata, Kamil Ksiazek
2017	C	`conf`	Available Bandwidth Estimation in Smart VPN Bonding Technique based on a NARX Neural Network. FedCSIS Giacomo Capizzi, Grazia Lo Sciuto, Francesco Beritelli, Francesco Scaglione, Dawid Polap, Kamil Ksiazek, Marcin Wozniak
2017	—	`conf`	First approach to solve linear system of equations by using ant colony optimization. SYSTEM Kamil Ksiazek
2017	J	`jnl`	Obstacle Detection as a Safety Alert in Augmented Reality Models by the Use of Deep Learning Techniques. Sensors Dawid Polap, Karolina Kesik, Kamil Ksiazek, Marcin Wozniak
2017	—	`conf`	Radiation heat transfer optimization by the use of modified ant lion optimizer. SSCI Kamil Ksiazek, Dawid Polap, Marcin Wozniak, Robertas Damasevicius
2016	—	`conf`	Combinatorial Summation Primes: a Discussion of Different Methods to Solve the Problem. SYSTEM Kamil Ksiazek, Zbigniew Marszalek