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Przemysław Spurek
Przemysław Spurek
Jagiellonian University
Verified email at ii.uj.edu.pl
Title
Cited by
Cited by
Year
Deep learning approach to bacterial colony classification
B Zieliński, A Plichta, K Misztal, P Spurek, M Brzychczy-Włoch, ...
PloS one 12 (9), e0184554, 2017
1132017
Processing of missing data by neural networks
M Śmieja, Ł Struski, J Tabor, B Zieliński, P Spurek
Advances in neural information processing systems 31, 2018
1112018
Cross-entropy clustering
J Tabor, P Spurek
Pattern Recognition 47 (9), 3046-3059, 2014
692014
Spatial graph convolutional networks
T Danel, P Spurek, J Tabor, M Śmieja, Ł Struski, A Słowik, Ł Maziarka
Neural Information Processing: 27th International Conference, ICONIP 2020 …, 2020
51*2020
Cramer-wold autoencoder
S Knop, J Tabor, P Spurek, I Podolak, M Mazur, S Jastrzębski
Journal of Machine Learning Research 21 (164), 1-28, 2018
41*2018
Hypernetwork approach to generating point clouds
P Spurek, S Winczowski, J Tabor, M Zamorski, M Zięba, T Trzciński
International Conference on Machine Learning 119, 9099--9108, 2020
242020
Lossy compression approach to subspace clustering
Ł Struski, J Tabor, P Spurek
Information Sciences 435, 161-183, 2018
182018
ICA based on asymmetry
P Spurek, J Tabor, P Rola, M Ociepka
Pattern Recognition 67, 230-244, 2017
162017
Active Function Cross-Entropy Clustering
P Spurek, J Tabor, K Byrski
Expert Systems with Applications 72, 49–66, 2017
152017
SVM with a neutral class
M Śmieja, J Tabor, P Spurek
Pattern Analysis and Applications 22, 573-582, 2019
142019
General split gaussian cross–entropy clustering
P Spurek
Expert Systems with Applications 68, 58-68, 2017
132017
Fast Independent Component Analysis algorithm with a simple closed-form solution
P Spurek, J Tabor, Ł Struski, M Śmieja
Knowledge-Based Systems, 2018
122018
General hypernetwork framework for creating 3d point clouds
P Spurek, M Zieba, J Tabor, T Trzcinski
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12), 9995 …, 2021
10*2021
Cross-entropy based image thresholding
M Malik, P Spurek, J Tabor
Schedae Informaticae 24, 2015
102015
Adversarial examples detection and analysis with layer-wise autoencoders
B Wójcik, P Morawiecki, M Śmieja, T Krzyżek, P Spurek, J Tabor
2021 IEEE 33rd International Conference on Tools with Artificial …, 2021
92021
Non-Gaussian Gaussian Processes for Few-Shot Regression
MZ Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj ...
Advances in Neural Information Processing Systems 34, 2021
82021
End-to-end sinkhorn autoencoder with noise generator
K Deja, J Dubiński, P Nowak, S Wenzel, P Spurek, T Trzcinski
IEEE Access 9, 7211-7219, 2020
72020
R package cec
P Spurek, K Kamieniecki, J Tabor, K Misztal, M Śmieja
Neurocomputing 237, 410-413, 2017
72017
Cross entropy clustering approach to iris segmentation for biometrics purpose
K Misztal, E Saeed, K Saeed, P Spurek, J Tabor
Schedae Informaticae 24, 31-40, 2015
72015
Regflow: Probabilistic flow-based regression for future prediction
M Zięba, M Przewięźlikowski, M Śmieja, J Tabor, T Trzcinski, P Spurek
arXiv preprint arXiv:2011.14620, 2020
62020
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