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ORCIDDominik Zurek
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Journal Articles
- 2024
[j6]Kamil Faber, Dominik Zurek, Marcin Pietron, Nathalie Japkowicz, Antonio Vergari, Roberto Corizzo
:
From MNIST to ImageNet and back: benchmarking continual curriculum learning. Mach. Learn. 113(10): 8137-8164 (2024)- 2023
- [j5]Marcin Pietron, Dominik Zurek, Bartlomiej Sniezynski:
Speedup deep learning models on GPU by taking advantage of efficient unstructured pruning and bit-width reduction. J. Comput. Sci. 67: 101971 (2023) - 2021
- [j4]Kamil Faber, Marcin Pietron, Dominik Zurek:
Ensemble Neuroevolution-Based Approach for Multivariate Time Series Anomaly Detection. Entropy 23(11): 1466 (2021) - 2019
- [j3]Kamil Pietak, Dominik Zurek, Marcin Pietron, Andrzej Dymara, Marek Kisiel-Dorohinicki:
Striving for performance of discrete optimisation via memetic agent-based systems in a hybrid CPU/GPU environment. J. Comput. Sci. 31: 151-162 (2019) - 2017
- [j2]Maciej Wielgosz, Pawel Szczepka, Pawel Russek, Ernest Jamro, Kazimierz Wiatr, Marcin Pietron, Dominik Zurek:
Evaluation and Implementation of n-Gram-Based Algorithm for Fast Text Comparison. Comput. Informatics 36(4): 887-907 (2017) - 2013
- [j1]Dominik Zurek, Marcin Pietron, Maciej Wielgosz, Kazimierz Wiatr:
Comparison of Hybrid Sorting Algorithms Implemented on Different Parallel Hardware Platforms. Comput. Sci. 14(4): 679-691 (2013)
Conference and Workshop Papers
- 2024
- [c11]Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo, Anna Wójcik:
AD-NEv++ - The multi-architecture neuroevolution-based multivariate anomaly detection framework. GECCO Companion 2024: 607-610 - [c10]Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo:
Towards Efficient Deep Autoencoders for Multivariate Time Series Anomaly Detection. ICCS (3) 2024: 461-469 - 2023
- [c9]Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo:
Ada-QPacknet - Multi-Task Forget-Free Continual Learning with Quantization Driven Adaptive Pruning. ECAI 2023: 1882-1889 - [c8]Dominik Zurek, Roberto Corizzo, Michal Karwatowski, Marcin Pietron, Kamil Faber:
Transformed-*: A domain-incremental lifelong learning scenario generation framework. IJCNN 2023: 1-10 - 2022
- [c7]Dominik Zurek, Marcin Pietron, Kamil Pietak, Marek Kisiel-Dorohinicki:
A Deep Neural Network as a TABU Support in Solving LABS Problem. ICCS (1) 2022: 237-243 - 2021
- [c6]Dominik Zurek, Kamil Pietak, Marcin Pietron, Marek Kisiel-Dorohinicki:
New Variants of SDLS Algorithm for LABS Problem Dedicated to GPGPU Architectures. ICCS (1) 2021: 206-212 - [c5]Dominik Zurek, Marcin Pietron, Kazimierz Wiatr:
Accelerating Deep Convolutional Neural on GPGPU. SAI (2) 2021: 712-724 - 2017
- [c4]Dominik Zurek, Kamil Pietak, Marcin Pietron, Marek Kisiel-Dorohinicki:
Toward hybrid platform for evolutionary computations of hard discrete problems. ICCS 2017: 877-886 - 2015
- [c3]Krzysztof Adamiak, Piotr Duch, Dominik Zurek, Krzysztof Slot:
Modifications of most expressive feature reordering criteria for supervised kernel Principal Component Analysis. CYBCONF 2015: 507-511 - [c2]Krzysztof Adamiak, Dominik Zurek, Krzysztof Slot:
Liveness detection in remote biometrics based on gaze direction estimation. FedCSIS 2015: 225-230 - 2013
- [c1]Marcin Pietron, Maciej Wielgosz, Dominik Zurek, Ernest Jamro, Kazimierz Wiatr:
Comparison of GPU and FPGA Implementation of SVM Algorithm for Fast Image Segmentation. ARCS 2013: 292-302
Parts in Books or Collections
- 2012
- [p1]Maciej Wielgosz, Ernest Jamro, Dominik Zurek, Kazimierz Wiatr:
FPGA Implementation of the Selected Parts of the Fast Image Segmentation. Intelligent Tools for Building a Scientific Information Platform 2012: 203-216
Informal and Other Publications
- 2024
- [i11]Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo:
Towards efficient deep autoencoders for multivariate time series anomaly detection. CoRR abs/2403.02429 (2024) - [i10]Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo:
AD-NEv++ : The multi-architecture neuroevolution-based multivariate anomaly detection framework. CoRR abs/2404.07968 (2024) - [i9]Paul Gajewski, Dominik Zurek, Marcin Pietron, Kamil Faber:
Solving Multi-Goal Robotic Tasks with Decision Transformer. CoRR abs/2410.06347 (2024) - 2023
- [i8]Kamil Faber, Dominik Zurek, Marcin Pietron, Nathalie Japkowicz, Antonio Vergari, Roberto Corizzo:
From MNIST to ImageNet and Back: Benchmarking Continual Curriculum Learning. CoRR abs/2303.11076 (2023) - [i7]Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo:
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection. CoRR abs/2305.16497 (2023) - [i6]Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo:
Ada-QPacknet - adaptive pruning with bit width reduction as an efficient continual learning method without forgetting. CoRR abs/2308.07939 (2023) - 2021
- [i5]Kamil Faber, Dominik Zurek, Marcin Pietron, Kamil Pietak:
Ensemble neuroevolution based approach for multivariate time series anomaly detection. CoRR abs/2108.03585 (2021) - [i4]Marcin Pietron, Dominik Zurek, Kamil Faber:
Fast and scalable neuroevolution deep learning architecture search for multivariate anomaly detection. CoRR abs/2112.05640 (2021) - [i3]Marcin Pietron, Dominik Zurek:
Speedup deep learning models on GPU by taking advantage of efficient unstructured pruning and bit-width reduction. CoRR abs/2112.15445 (2021) - 2020
- [i2]Dominik Zurek, Marcin Pietron:
Training with reduced precision of a support vector machine model for text classification. CoRR abs/2007.08657 (2020) - [i1]Marcin Pietron, Dominik Zurek:
When deep learning models on GPU can be accelerated by taking advantage of unstructured sparsity. CoRR abs/2011.06295 (2020)
Coauthor Index
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