Dominik Zurek

Orcid: 0000-0001-5329-1452

According to our database1, Dominik Zurek authored at least 27 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
From MNIST to ImageNet and back: benchmarking continual curriculum learning.
Mach. Learn., October, 2024

Solving Multi-Goal Robotic Tasks with Decision Transformer.
CoRR, 2024

AD-NEv++ : The multi-architecture neuroevolution-based multivariate anomaly detection framework.
CoRR, 2024

Towards Efficient Deep Autoencoders for Multivariate Time Series Anomaly Detection.
Proceedings of the Computational Science - ICCS 2024, 2024

AD-NEv++ - The multi-architecture neuroevolution-based multivariate anomaly detection framework.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023
Speedup deep learning models on GPU by taking advantage of efficient unstructured pruning and bit-width reduction.
J. Comput. Sci., March, 2023

Ada-QPacknet - adaptive pruning with bit width reduction as an efficient continual learning method without forgetting.
CoRR, 2023

AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection.
CoRR, 2023

Transformed-*: A domain-incremental lifelong learning scenario generation framework.
Proceedings of the International Joint Conference on Neural Networks, 2023

Ada-QPacknet - Multi-Task Forget-Free Continual Learning with Quantization Driven Adaptive Pruning.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022
A Deep Neural Network as a TABU Support in Solving LABS Problem.
Proceedings of the Computational Science - ICCS 2022, 2022

2021
Ensemble Neuroevolution-Based Approach for Multivariate Time Series Anomaly Detection.
Entropy, 2021

Speedup deep learning models on GPU by taking advantage of efficient unstructured pruning and bit-width reduction.
CoRR, 2021

Fast and scalable neuroevolution deep learning architecture search for multivariate anomaly detection.
CoRR, 2021

Ensemble neuroevolution based approach for multivariate time series anomaly detection.
CoRR, 2021

Accelerating Deep Convolutional Neural on GPGPU.
Proceedings of the Intelligent Computing, 2021

New Variants of SDLS Algorithm for LABS Problem Dedicated to GPGPU Architectures.
Proceedings of the Computational Science - ICCS 2021, 2021

2020
When deep learning models on GPU can be accelerated by taking advantage of unstructured sparsity.
CoRR, 2020

Training with reduced precision of a support vector machine model for text classification.
CoRR, 2020

2019
Striving for performance of discrete optimisation via memetic agent-based systems in a hybrid CPU/GPU environment.
J. Comput. Sci., 2019

2017
Evaluation and Implementation of n-Gram-Based Algorithm for Fast Text Comparison.
Comput. Informatics, 2017

Toward hybrid platform for evolutionary computations of hard discrete problems.
Proceedings of the International Conference on Computational Science, 2017

2015
Liveness detection in remote biometrics based on gaze direction estimation.
Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, 2015

Modifications of most expressive feature reordering criteria for supervised kernel Principal Component Analysis.
Proceedings of the 2nd IEEE International Conference on Cybernetics, 2015

2013
Comparison of Hybrid Sorting Algorithms Implemented on Different Parallel Hardware Platforms.
Comput. Sci., 2013

Comparison of GPU and FPGA Implementation of SVM Algorithm for Fast Image Segmentation.
Proceedings of the Architecture of Computing Systems - ARCS 2013, 2013

2012
FPGA Implementation of the Selected Parts of the Fast Image Segmentation.
Proceedings of the Intelligent Tools for Building a Scientific Information Platform, 2012


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