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Pawel Zawistowski
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2020 – today
- 2022
- [c7]Michal Szczepankiewicz, Krystian Radlak
, Karolina Szczepankiewicz, Adam Popowicz, Pawel Zawistowski:
Testing and Verification of the Deep Neural Networks Against Sparse Pixel Defects. SAFECOMP Workshops 2022: 71-82 - 2021
- [c6]Bartlomiej Twardowski
Metric Learning for Session-Based Recommendations. ECIR (1) 2021: 650-665 - [c5]Dariusz Jagodzinski
Deep Neuroevolution: Training Neural Networks Using a Matrix-Free Evolution Strategy. ICONIP (1) 2021: 524-536 - [i1]Bartlomiej Twardowski, Pawel Zawistowski, Szymon Zaborowski:
Metric Learning for Session-based Recommendations. CoRR abs/2101.02655 (2021) - 2020
- [c4]Pawel Wawrzynski, Pawel Zawistowski, Lukasz Lepak
Automatic hyperparameter tuning in on-line learning: Classic Momentum and ADAM. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [j3]Rafal Biedrzycki
Deep Learning Optimization Tasks and Metaheuristic Methods. Fundam. Informaticae 168(2-4): 185-218 (2019) - 2017
- [c3]Marcin Luckner, Pawel Kobojek, Pawel Zawistowski:
Public Transport Stops State Detection and Propagation - Warsaw Use Case. SMARTGREENS 2017: 235-241 - 2014
- [j2]Robert Filasiak, Maciej Grzenda, Marcin Luckner
On the testing of network cyber threat detection methods on spam example. Ann. des Télécommunications 69(7-8): 363-377 (2014) - 2012
- [j1]Maciej Grzenda, Andrés Bustillo
A soft computing system using intelligent imputation strategies for roughness prediction in deep drilling. J. Intell. Manuf. 23(5): 1733-1743 (2012) - 2011
- [c2]Pawel Zawistowski
Benchmarking IBHM Method Using NN3 Competition Dataset. HAIS (1) 2011: 263-270
2000 – 2009
- 2009
- [c1]Pawel Zawistowski
Handling Incomplete Data Using Evolution of Imputation Methods. ICANNGA 2009: 22-31
Coauthor Index
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