Dominik Zurek

39 papers A* 2A 1B 4C 1Misc 1Journal 22Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Quality of Automatic Speech Recognition - Polish Language case study - from Wav2Vec to Scribe ElevenLabs.
CoRR
Marcin Pietron, Szymon Piórkowski, Kamil Faber, Dominik Zurek, Michal Karwatowski, Jerzy Duda, Hubert Zielinski, Piotr Lipnicki, Mikolaj Leszczuk
2025 J jnl
A Parallel Approach for Metaheuristics solving the Labs Problem using CPU and GPU.
Comput. Sci.
Dominik Zurek, Kamil Pietak, Marcin Pietron, Marek Kisiel-Dorohinicki
2025 J jnl
AD-NEv: A Scalable Multilevel Neuroevolution Framework for Multivariate Anomaly Detection.
IEEE Trans. Neural Networks Learn. Syst.
Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo
2025 B conf
Fast and Efficient Integer Linear Programming Method for Aircraft Recovery Problem.
IEEE Big Data
Dominik Zurek, Wieslaw Dudek, Marcin Pietron, Szymon Piórkowski, Michal Karwatowski, Kamil Faber
2025 A* conf
TinySubNets: An Efficient and Low Capacity Continual Learning Strategy.
AAAI
Marcin Pietron, Kamil Faber, Dominik Zurek, Roberto Corizzo
2025 A* conf
xLSTMAD: A Powerful xLSTM-based Method for Anomaly Detection.
ICDM
Kamil Faber, Marcin Pietron, Dominik Zurek, Roberto Corizzo
2025 J jnl
xLSTMAD: A Powerful xLSTM-based Method for Anomaly Detection.
CoRR
Kamil Faber, Marcin Pietron, Dominik Zurek, Roberto Corizzo
2024 B conf
A Deep Double Q-Learning as a SDLS support in solving LABS problem.
ESANN
Dominik Zurek, Marcin Pietron, Kamil Pietak, Kamil Faber
2024 — conf
AD-NEv++ - The multi-architecture neuroevolution-based multivariate anomaly detection framework.
GECCO Companion
Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo, Anna Wójcik
2024 J jnl
AD-NEv++ : The multi-architecture neuroevolution-based multivariate anomaly detection framework.
CoRR
Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo
2024 J jnl
From MNIST to ImageNet and back: benchmarking continual curriculum learning.
Mach. Learn.
Kamil Faber, Dominik Zurek, Marcin Pietron, Nathalie Japkowicz, Antonio Vergari, Roberto Corizzo
2024 B conf
RLEM: Deep Reinforcement Learning Ensemble Method for Aircraft Recovery Problem.
IEEE Big Data
Dominik Zurek, Marcin Pietron, Szymon Piórkowski, Michal Karwatowski, Kamil Faber
2024 J jnl
Solving Multi-Goal Robotic Tasks with Decision Transformer.
CoRR
Paul Gajewski, Dominik Zurek, Marcin Pietron, Kamil Faber
2024 J jnl
TinySubNets: An efficient and low capacity continual learning strategy.
CoRR
Marcin Pietron, Kamil Faber, Dominik Zurek, Roberto Corizzo
2024 — conf
Towards Efficient Deep Autoencoders for Multivariate Time Series Anomaly Detection.
ICCS (3)
Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo
2024 J jnl
Towards efficient deep autoencoders for multivariate time series anomaly detection.
CoRR
Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo
2023 J jnl
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection.
CoRR
Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo
2023 A conf
Ada-QPacknet - Multi-Task Forget-Free Continual Learning with Quantization Driven Adaptive Pruning.
ECAI
Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo
2023 J jnl
Ada-QPacknet - adaptive pruning with bit width reduction as an efficient continual learning method without forgetting.
CoRR
Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo
2023 J jnl
From MNIST to ImageNet and Back: Benchmarking Continual Curriculum Learning.
CoRR
Kamil Faber, Dominik Zurek, Marcin Pietron, Nathalie Japkowicz, Antonio Vergari, Roberto Corizzo
2023 J jnl
Speedup deep learning models on GPU by taking advantage of efficient unstructured pruning and bit-width reduction.
J. Comput. Sci.
Marcin Pietron, Dominik Zurek, Bartlomiej Sniezynski
2023 B conf
Transformed-*: A domain-incremental lifelong learning scenario generation framework.
IJCNN
Dominik Zurek, Roberto Corizzo, Michal Karwatowski, Marcin Pietron, Kamil Faber
2022 — conf
A Deep Neural Network as a TABU Support in Solving LABS Problem.
ICCS (1)
Dominik Zurek, Marcin Pietron, Kamil Pietak, Marek Kisiel-Dorohinicki
2021 — conf
Accelerating Deep Convolutional Neural on GPGPU.
SAI (2)
Dominik Zurek, Marcin Pietron, Kazimierz Wiatr
2021 J jnl
Ensemble Neuroevolution-Based Approach for Multivariate Time Series Anomaly Detection.
Entropy
Kamil Faber, Marcin Pietron, Dominik Zurek
2021 J jnl
Ensemble neuroevolution based approach for multivariate time series anomaly detection.
CoRR
Kamil Faber, Dominik Zurek, Marcin Pietron, Kamil Pietak
2021 J jnl
Fast and scalable neuroevolution deep learning architecture search for multivariate anomaly detection.
CoRR
Marcin Pietron, Dominik Zurek, Kamil Faber
2021 — conf
New Variants of SDLS Algorithm for LABS Problem Dedicated to GPGPU Architectures.
ICCS (1)
Dominik Zurek, Kamil Pietak, Marcin Pietron, Marek Kisiel-Dorohinicki
2021 J jnl
Speedup deep learning models on GPU by taking advantage of efficient unstructured pruning and bit-width reduction.
CoRR
Marcin Pietron, Dominik Zurek
2020 J jnl
Training with reduced precision of a support vector machine model for text classification.
CoRR
Dominik Zurek, Marcin Pietron
2020 J jnl
When deep learning models on GPU can be accelerated by taking advantage of unstructured sparsity.
CoRR
Marcin Pietron, Dominik Zurek
2019 J jnl
Striving for performance of discrete optimisation via memetic agent-based systems in a hybrid CPU/GPU environment.
J. Comput. Sci.
Kamil Pietak, Dominik Zurek, Marcin Pietron, Andrzej Dymara, Marek Kisiel-Dorohinicki
2017 J jnl
Evaluation and Implementation of n-Gram-Based Algorithm for Fast Text Comparison.
Comput. Informatics
Maciej Wielgosz, Pawel Szczepka, Pawel Russek, Ernest Jamro, Kazimierz Wiatr, Marcin Pietron, Dominik Zurek
2017 Misc conf
Toward hybrid platform for evolutionary computations of hard discrete problems.
ICCS
Dominik Zurek, Kamil Pietak, Marcin Pietron, Marek Kisiel-Dorohinicki
2015 C conf
Liveness detection in remote biometrics based on gaze direction estimation.
FedCSIS
Krzysztof Adamiak, Dominik Zurek, Krzysztof Slot
2015 — conf
Modifications of most expressive feature reordering criteria for supervised kernel Principal Component Analysis.
CYBCONF
Krzysztof Adamiak, Piotr Duch, Dominik Zurek, Krzysztof Slot
2013 — conf
Comparison of GPU and FPGA Implementation of SVM Algorithm for Fast Image Segmentation.
ARCS
Marcin Pietron, Maciej Wielgosz, Dominik Zurek, Ernest Jamro, Kazimierz Wiatr
2013 J jnl
Comparison of Hybrid Sorting Algorithms Implemented on Different Parallel Hardware Platforms.
Comput. Sci.
Dominik Zurek, Marcin Pietron, Maciej Wielgosz, Kazimierz Wiatr
2012 — ch.
FPGA Implementation of the Selected Parts of the Fast Image Segmentation.
Intelligent Tools for Building a Scientific Information Platform
Maciej Wielgosz, Ernest Jamro, Dominik Zurek, Kazimierz Wiatr